Author: "Eric Garnier" / Topic: 15. life on land - Searchworks@Jio Institute Digital Library Search Results

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1. LOTVS: a global collection of permanent vegetation plots

Author: Daniel Gómez-García, Peter B. Adler, Norbert Juergens, Miklós Kertész, de Bello F, Katja Klumpp, Wolfgang Schmidt, Jiří Danihelka, Lauren M. Hallett, Ricardo Ibáñez, Luisa Conti, Rob H. Marrs, Josep Peñuelas, Martin Zobel, Martin Schuetz, Begoña Peco, Karsten Wesche, Eric Garnier, Hana Skálová, Frédérique Louault, Marie Šmilauerová, Thomas Galland, Fei-Hai Yu, Anna E-Vojtkó, Martin Stock, Tomáš Herben, Wiser Sk, Goetzenberger L, Marc Estiarte, Le Duc M, Truman P. Young, Minfang Song, Enrique Valencia, Ricardo García-González, Duncan M. Kimuyu, Gábor Ónodi, Hannah L. Buckley, Petr Šmilauer, Sperandii Mg, Marta Montenegro Rueda, Ute Schmiedel, James Val, Nicola J. Day, Paertel M, Jürgen Dengler, Vandvik, Bazzichetto M, Jan Lepš, Susan Harrison, David J. Eldridge, Anke Jentsch, Robin J. Pakeman, Christian Smit, and Ben A. Woodcock
Subjects: 0106 biological sciences, Resource (biology), 010504 meteorology & atmospheric sciences, Ecology (disciplines), Biodiversity, Sampling (statistics), Plant community, Ecological succession, Vegetation, 15. Life on land, 010603 evolutionary biology, 01 natural sciences, Plant ecology, Geography, Physical geography, 0105 earth and related environmental sciences
Abstract: Analysing temporal patterns in plant communities is extremely important to quantify the extent and the consequences of ecological changes, especially considering the current biodiversity crisis. Long-term data collected through the regular sampling of permanent plots represent the most accurate resource to study ecological succession, analyse the stability of a community over time and understand the mechanisms driving vegetation change. We hereby present the LOng-Term Vegetation Sampling (LOTVS) initiative, a global collection of vegetation time-series derived from the regular monitoring of vascular plants in permanent plots. With 79 datasets from five continents and 7789 vegetation time-series monitored for at least six years and mostly on an annual basis, LOTVS possibly represents the largest collection of temporally fine-grained vegetation time-series derived from permanent plots and made accessible to the research community. As such, it has an outstanding potential to support innovative research in the fields of vegetation science, plant ecology and temporal ecology.
Published: 2021

2. Quantifying the relationship linking the community-weighted means of plant traits and soil fertility

Author: Laurent Daou, Eric Garnier, Bill Shipley, Université de Sherbrooke (UdeS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: Specific leaf area, Biology, Structural equation modeling, plant height, Soil, Ecosystem, Cwm, leaf dry matter content, Ecology, Evolution, Behavior and Systematics, 2. Zero hunger, Grime’s CSR strategies, Biomass (ecology), Ecology, soil fertility, Quebec, 15. Life on land, community weighted functional traits, Structural equation modelling, SEM, Trait, France, Soil fertility, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Weighted arithmetic mean, specific leaf area
Abstract: International audience; Is it possible to generalize relationships between certain plant traits and soil fertility? In particular, are there quantitative relationships between community-weighted mean (CWM) trait values of leaf dry-matter content (LDMC), specific leaf area (SLA), plant height, and Grime’s competitor-stress tolerator-ruderal (CSR) strategy scores and the generalized soil fertility, FG (i.e., the capacity of a soil to produce biomass when all nonsoil variables are held constant) that are generalizable across different species assemblages and geographical areas? We assessed FG in 21 sites in southern Quebec and 7 sites in southern France using a previously published method based on structural equation modeling. We then determined the CWM values of LDMC, SLA, plant height, and CSR scores in the 21 Quebec sites to obtain quantitative relationships between FG and these CWM traits. Using these relationships, we independently tested the generality of the trait–fertility relationships using data from French sites. The relationships between FG and the CWM traits were nonlinear, but displayed the expected qualitative trends as reported in the literature. In particular, the S score and CWM LDMC decreased with increasing soil fertility, and the R score and CWM SLA increased. CWM traits were more strongly correlated to measures of FG (r2 up to 0.48) than to measures of other soil characteristics (r2 up to 0.17 for nitrogen flux). Importantly, the independently tested French FG–trait relationships showed no significant deviations from these quantitative relationships. Further investigation is necessary to confirm if the same trend applies to other regions and or ecosystems.
Published: 2021

3. A starting guide to root ecology: strengthening ecological concepts and standardizing root classification, sampling, processing and trait measurements

Author: Boris Rewald, Agnieszka Bagniewska-Zadworna, Hans Lambers, Ina C. Meier, Grégoire T. Freschet, Tao Sun, A. Glyn Bengough, Marcin Zadworny, Larry M. York, Jitka Klimešová, Laura Rose, Oscar J. Valverde-Barrantes, Loïc Pagès, Monique Weemstra, Michael Scherer-Lorenzen, Johannes A. Postma, Eric Garnier, Ivano Brunner, Nadejda A. Soudzilovskaia, V. G. Salmon, M. Luke McCormack, Peter Ryser, Štěpán Janeček, Moemy Gomes de Moraes, Catherine Picon-Cochard, Hendrik Poorter, Colleen M. Iversen, Alexandra Weigelt, Louise H. Comas, Elison B. Blancaflor, Catherine Roumet, Sarah A. Batterman, Arthur Gessler, Nishanth Tharayil, Nina Wurzburger, Johannes H. C. Cornelissen, Sarah E. Hobbie, Thomas S. Adams, Alexia Stokes, Liesje Mommer, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Natural Resources and Life Sciences (BOKU), Polish Academy of Sciences (PAN), Forschungszentrum Jülich GmbH, Pennsylvania State University (Penn State), Penn State System, Adam Mickiewicz University in Poznań (UAM), Swiss Federal Research Institute, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), University of Freiburg [Freiburg], Leiden University, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Chinese Academy of Sciences [Beijing] (CAS), Florida International University [Miami] (FIU), Leipzig University, Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, University of Leeds, Federal University of Goiás [Jataí], The University of Western Australia (UWA), The Morton Arboretum, Narodowe Centrum Nauki. Grant Number: 2012/07/E/NZ9/00194, Volkswagen Foundation. Grant Number: 11-76251- 99-34/13 (ZN 2928), Natural Environment Research Council. Grant Numbers: NE/ M019497/1, NE/N012542/1, Grantová Agentura České Republiky. Grant Number: GA 19-13103S, British Council. Grant Number: 275556724, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung. Grant Number: 31003A_159866, Deutsche Forschungsgemeinschaft. Grant Number: ME 4156/2-1, ANR-10-LABX-0041,TULIP,Towards a Unified theory of biotic Interactions: the roLe of environmental(2010), Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Environmental Sciences Division [Oak Ridge], UT-Battelle, LLC-UT-Battelle, LLC, Water Management and Systems Research (WMSR), United States Department of Agriculture (USDA), Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Macquarie University, The James Hutton Institute, University of Dundee, Noble Research Institut, Institut Fédéral de Recherches [Suisse], Vrije Universiteit Amsterdam [Amsterdam] (VU), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), University of Hamburg, Wageningen University and Research [Wageningen] (WUR), Université Clermont Auvergne (UCA), Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Laurentian University, Universiteit Leiden [Leiden], Chinese Academy of Science (CAS), Universität Leipzig [Leipzig], University of Georgia [USA], BioSciences Division [Oak Ridge], Cary Institute of Ecosystem Studies, Clemson University, Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Unité expérimentale du Groupe d'Etude et de contrôle des Variétés et des Semences - INRA Avignon (GEVES Cavaillon), Institut National de la Recherche Agronomique (INRA), USDA-ARS : Agricultural Research Service, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Biology Centre of the Czech Academy of Sciences (BIOLOGY CENTRE CAS), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Institute of Terrestrial Ecosystems (ITES), Department of Environmental Sciences [Wageningen], Universiteit Leiden, Institute of Software Chinese Academy of Sciences [Beijing], University of Oklahoma (OU), Charles University [Prague] (CU), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Station d'Ecologie Théorique et Expérimentale (SETE), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Agrobiosciences, Interactions et Biodiversité (FR AIB), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), and Universität Leipzig
Subjects: 0106 biological sciences, Root (linguistics), Databases, Factual, Physiology, Computer science, Root ecology, Plant Science, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, trait measurements, starting guide, Protocol, below‐ground ecology, below-ground ecology, handbook, plant root functions, protocol, root classification, root ecology, root traits, Ecology, Handbook, Plants, Root traits, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, Phenotype, ddc:580, [SDE]Environmental Sciences, Trait, Plantenecologie en Natuurbeheer, Trait measurements, Ecology (disciplines), Plant Ecology and Nature Conservation, Context (language use), 010603 evolutionary biology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Controlled vocabulary, Ecosystem, Protocol (science), Forum, 15. Life on land, Metadata, Root classification, standardizing root classification, Below-ground ecology, Community Resources, Plant root functions, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany, Meaning (linguistics)
Abstract: In the context of a recent massive increase in research on plant root functions and their impact on the environment, root ecologists currently face many important challenges to keep on generating cutting-edge, meaningful and integrated knowledge. Consideration of the below-ground components in plant and ecosystem studies has been consistently called for in recent decades, but methodology is disparate and sometimes inappropriate. This handbook, based on the collective effort of a large team of experts, will improve trait comparisons across studies and integration of information across databases by providing standardised methods and controlled vocabularies. It is meant to be used not only as starting point by students and scientists who desire working on below-ground ecosystems, but also by experts for consolidating and broadening their views on multiple aspects of root ecology. Beyond the classical compilation of measurement protocols, we have synthesised recommendations from the literature to provide key background knowledge useful for: (1) defining below-ground plant entities and giving keys for their meaningful dissection, classification and naming beyond the classical fine-root vs coarse-root approach; (2) considering the specificity of root research to produce sound laboratory and field data; (3) describing typical, but overlooked steps for studying roots (e.g. root handling, cleaning and storage); and (4) gathering metadata necessary for the interpretation of results and their reuse. Most importantly, all root traits have been introduced with some degree of ecological context that will be a foundation for understanding their ecological meaning, their typical use and uncertainties, and some methodological and conceptual perspectives for future research. Considering all of this, we urge readers not to solely extract protocol recommendations for trait measurements from this work, but to take a moment to read and reflect on the extensive information contained in this broader guide to root ecology, including sections I–VII and the many introductions to each section and root trait description. Finally, it is critical to understand that a major aim of this guide is to help break down barriers between the many subdisciplines of root ecology and ecophysiology, broaden researchers’ views on the multiple aspects of root study and create favourable conditions for the inception of comprehensive experiments on the role of roots in plant and ecosystem functioning. ISSN:0028-646X ISSN:1469-8137
Published: 2021

4. PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function

Author: Jules Segrestin, Eric Garnier, Jens Kattge, Sandra Díaz, Marie-Laure Navas, Kevin Sartori, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, German Centre for Integrative Biodiversity Research (iDiv), Instituto Multidisciplinario de Biología Vegetal [Córdoba] (IMBIV), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas, Físicas y Naturales [Córdoba], Universidad Nacional de Córdoba [Argentina]-Universidad Nacional de Córdoba [Argentina], Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, user‐friendly application, Computer science, media_common.quotation_subject, Population, Context (language use), Sample (statistics), Variation (game tree), Space (commercial competition), computer.software_genre, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, Spectrum (topology), user-friendly application, 03 medical and health sciences, lcsh:QH540-549.5, trait variation, comparative plant ecology, Function (engineering), education, Ecology, Evolution, Behavior and Systematics, Original Research, 030304 developmental biology, Nature and Landscape Conservation, media_common, 0303 health sciences, education.field_of_study, Ecology, functional dimensions, 15. Life on land, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, plant phenotypes, plant traits, Trait, lcsh:Ecology, Data mining, computer
Abstract: A recent analysis of variation in six major traits conducted on a large worldwide sample of vascular plant species showed that three‐quarters of trait variation was captured by a two‐dimensional global spectrum of plant form and function (“global spectrum” hereafter). We developed the PhenoSpace application, whose aim is to visualize and export the position of any individual/population/species in the phenotypic space of the global spectrum.PhenoSpace is a Shiny application that helps users to manipulate and visualize data pertaining to the global spectrum of plant form and function. It is freely accessible at the following URL: https://shiny.cefe.cnrs.fr/PhenoSpace/.PhenoSpace has three main functionalities. First, it allows users to visualize the phenotypic space of the global spectrum using different combinations of traits and growth forms. Second, trait data from any new user‐defined dataset can be projected onto the phenotypic space of the global spectrum, provided that at least two of the six traits are available. Finally, figures produced and loadings of the imported data on the PCA axes can be downloaded, allowing users to conduct further analyses.PhenoSpace fulfills the practical goal of positioning plants in the phenotypic space of the global spectrum, making it possible to compare trait variation at any level of organization against the worldwide background. This serves a major aim of comparative plant ecology, which is to put specific sets of individuals, populations or species into a broader context, facilitating comparison and synthesis of results across different continents and environments using relevant indicators of plant design and function., PhenoSpace is a shiny application that fulfills the practical goal of positioning plants in the phenotypic space of the global spectrum of plant form and function, making it possible to compare trait variation at any level of organization against the worldwide background.
Published: 2021

5. Synchrony matters more than species richness in plant community stability at a global scale

Author: Meelis Pärtel, Katja Klumpp, Jürgen Dengler, Romà Ogaya, Begoña Peco, Jiří Danihelka, Ricardo Ibáñez, Rob H. Marrs, Martin Stock, Thomas Galland, Susan K Wiser, Marc Estiarte, Anke Jentsch, Robin J. Pakeman, David Ward, Wolfgang Schmidt, Iker Pardo, Christian Smit, Martin Schuetz, Ricardo García-González, Martin Zobel, Eric Garnier, Hana Skálová, Minghua Song, Karsten Wesche, Richard F. Pywell, Vigdis Vandvik, Lars Götzenberger, Anna E-Vojtkó, Ben A. Woodcock, James Val, Marie Šmilauerová, Frédérique Louault, Norbert Juergens, Jan Lepš, Ute Schmiedel, Francesco de Bello, Susan Harrison, David J. Eldridge, Carlos P. Carmona, Josep Peñuelas, Peter B. Adler, Tomáš Herben, Roel van Klink, Fei-Hai Yu, Daniel Gómez-García, Miklós Kertész, Enrique Valencia, Gábor Ónodi, Petr Šmilauer, Marta Rueda, Truman P. Young, Conservation Ecology Group, Smit group, Department of Botany, Faculty of Sciences, Palacky University Olomouc, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Czech Academy of Sciences [Prague] (CAS), Institute of Ecology and Earth Sciences [Tartu], University of Tartu, Universität Bayreuth, Universidad Rey Juan Carlos [Madrid] (URJC), University of South Bohemia, Institute of Physics of Materials of the Czech Academy of Sciences (IPM / CAS), Utah State University (USU), German Centre for Integrative Biodiversity Research (iDiv), Masaryk University [Brno] (MUNI), Zürich University of Applied Sciences (ZHAW), University of Bayreuth, University of New South Wales [Sydney] (UNSW), CREAF - Centre for Ecological Research and Applied Forestries, Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Centre National de la Recherche Scientifique (CNRS), University of California [Davis] (UC Davis), University of California, Charles University [Prague] (CU), Universidad de Navarra [Pamplona] (UNAV), Hamburg University of Applied Sciences [Hamburg], Hungarian Academy of Sciences (MTA), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Liverpool, Open University of Catalonia [Barcelona], The James Hutton Institute, University of the Basque Country [Bizkaia] (UPV/EHU), Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), UK Centre of Ecology and Hydrology (UKCEH), Göttingen State and University Library (SUB Göttingen), Georg-August-University [Göttingen], University of Hamburg, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Community and Conservation Ecology Group [Groningen], Université de Groningen, Chinese Academy of Sciences [Beijing] (CAS), Landesbetrieb für Küstenschutz, Nationalpark und Meeresschutz Schleswig-Holstein [Husum, Allemagne] (LKN.SH), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Kent State University, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Manaaki Whenua – Landcare Research [Lincoln], Taizhou Vocational College of Science and Technology, Library of the Czech Academy of Sciences (LCAS), National Science Foundation (US), New Zealand National Vegetation Survey Databank, University of Minnesota, Biotechnology and Biological Sciences Research Council (UK), Czech Science Foundation, Academy of Sciences of the Czech Republic, Comunidad de Madrid, Bello, Francesco de [0000-0001-9202-8198], Galland, Thomas [0000-0003-0883-8871], Lepš, J. [0000-0002-4822-7429], E‐Vojtkó, Anna [0000-0001-6370-680X], Carmona, Carlos P. [0000-0001-6935-4913], García-González, Ricardo [0000-0001-5625-8690], Götzenberger, L. [0000-0003-3040-2900], Bello, Francesco de, Galland, Thomas, Lepš, J., E‐Vojtkó, Anna, Carmona, Carlos P., García-González, Ricardo, and Götzenberger, L.
Subjects: 0106 biological sciences, Carbon Sequestration, Life on Land, Climate Change, [SDE.MCG]Environmental Sciences/Global Changes, 333.7: Landflächen, Naturerholungsgebiete, Biodiversity, Land management, Climate change, Plant Development, climate change drivers, Biology, 010603 evolutionary biology, 01 natural sciences, Ecosystem services, Climate change driver, Soil, 577: Ökologie, species richness, Life Below Water, Ecosystem, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, Ecological stability, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Multidisciplinary, Ecology, 010604 marine biology & hydrobiology, synchrony, Plant community, 15. Life on land, Biological Sciences, Plants, stability, 13. Climate action, Species evenness, evenness, Species richness
Abstract: The stability of ecological communities is critical for the stable provisioning of ecosystem services, such as food and forage production, carbon sequestration, and soil fertility. Greater biodiversity is expected to enhance stability across years by decreasing synchrony among species, but the drivers of stability in nature remain poorly resolved. Our analysis of time series from 79 datasets across the world showed that stability was associated more strongly with the degree of synchrony among dominant species than with species richness. The relatively weak influence of species richness is consistent with theory predicting that the effect of richness on stability weakens when synchrony is higher than expected under random fluctuations, which was the case in most communities. Land management, nutrient addition, and climate change treatments had relatively weak and varying effects on stability, modifying how species richness, synchrony, and stability interact. Our results demonstrate the prevalence of biotic drivers on ecosystem stability, with the potential for environmental drivers to alter the intricate relationship among richness, synchrony, and stability., We were supported by US NSF Grants DEB-8114302, DEB8811884, DEB-9411972, DEB-0080382, DEB-0620652, DEB-1234162, and DEB0618210; the Nutrient Network (https://nutnet.org/) experiment from NSF Research Coordination Network Grant NSF-DEB-1042132; the New Zealand National Vegetation Survey Databank; and Institute on the Environment Grant DG-0001-13. Data (Dataset 56, SI Appendix, Supplementary Text S4) owned by NERC Database Right/Copyright NERC. Further support was provided by the Jornada Basin Long-Term Ecological Research project, Cedar Creek Ecosystem Science Reserve, and the University of Minnesota. The Rothamsted Long-term Experiments National Capability is supported by UK Biotechnology and Biological Sciences Research Council Grant BBS/E/C/000J0300 and the Lawes Agricultural Trust. This research was funded by Czech Science Foundation Grant GACR16-15012S and Czech Academy of Sciences Grant RVO 67985939. E.V. was funded by 2017 Program for Attracting and Retaining Talent of Comunidad de Madrid Grant 2017-T2/AMB-5406.
Published: 2020

6. Functional trait effects on ecosystem stability: assembling the jigsaw puzzle

Author: Maria Májeková, Luisa Conti, Alicia Montesinos-Navarro, Lauren M. Hallett, Christiane Roscher, Juli G. Pausas, Thomas Galland, Eric Garnier, Miguel Verdú, Sandra Lavorel, Jan Lepš, Marta Goberna, Lars Götzenberger, Francesco de Bello, Enrique Valencia, Anna E-Vojtkó, Consejo Superior de Investigaciones Científicas (Spain) (CSIC), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of South Bohemia, University of South Bohemia, Faculty of Science, České Budějovice, Czech Republic, Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Generalitat Valenciana, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), and Comunidad de Madrid
Subjects: 0106 biological sciences, Functional diversity and redundancy, Population, Biodiversity, Insurance effect, 010603 evolutionary biology, 01 natural sciences, Ecosystem services, Economics, Ecosystem, education, Empirical evidence, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, Ecological stability, education.field_of_study, business.industry, Environmental resource management, Global change, 15. Life on land, Community weighted mean, Compensatory dynamics, Phenotype, 13. Climate action, Trait probability density, Trait, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business, 010606 plant biology & botany
Abstract: Under global change, how biological diversity and ecosystem services are maintained in time is a fundamental question. Ecologists have long argued about multiple mechanisms by which local biodiversity might control the temporal stability of ecosystem properties. Accumulating theories and empirical evidence suggest that, together with different population and community parameters, these mechanisms largely operate through differences in functional traits among organisms. We review potential trait-stability mechanisms together with underlying tests and associated metrics. We identify various trait-based components, each accounting for different stability mechanisms, that contribute to buffering, or propagating, the effect of environmental fluctuations on ecosystem functioning. This comprehensive picture, obtained by combining different puzzle pieces of trait-stability effects, will guide future empirical and modeling investigations., This study is the result of an international workshop financed by the Valencian government in Spain (Generalitat Valenciana, reference AORG/2018/) and was supported by Spanish Plan Nacional de I+D+i (project PGC2018-099027-B-I00). E.V. was supported by the 2017 program for attracting and retaining talent of Comunidad de Madrid (no. 2017-T2/ AMB-5406).
Published: 2020

7. Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony

Author: Martin Schuetz, Eric Garnier, Hana Skálová, Martin Stock, Marc Estiarte, Marie Šmilauerová, Martin Zobel, Norbert Juergens, Karsten Wesche, Jiří Danihelka, Katja Klumpp, Wolfgang Schmidt, Josep Peñuelas, Ricardo Ibáñez, Christian Smit, Ute Schmiedel, Frédérique Louault, Begoña Peco, Ricardo García-González, Truman P. Young, Marta Rueda, Vigdis Vandvik, Thomas Galland, Fei-Hai Yu, Anna E-Vojtkó, Ben A. Woodcock, Daniel Gómez, Petr Šmilauer, Enrique Valencia, Tomáš Herben, Luisa Conti, Jürgen Dengler, Rob H. Marrs, Meelis Pärtel, Gábor Ónodi, Lars Götzenberger, Miklós Kertész, James Val, Francesco de Bello, Susan Harrison, David J. Eldridge, Anke Jentsch, Robin J. Pakeman, Minghua Song, Jan Lepš, Smit group, National Science Foundation (US), Ministerio de Economía y Competitividad (España), Comunidad de Madrid, European Commission, New Zealand National Vegetation Survey Databank, European Research Council, Estonian Research Council, Agence Nationale de la Recherche (France), Czech Science Foundation, German Federal Environmental Foundation, Federal Ministry of Education and Research (Germany), Scottish Government's Rural and Environment Science and Analytical Services, Bello, Francesco de, Lepš, J., Galland, Thomas, E‐Vojtkó, Anna, Götzenberger, L., Universidad Rey Juan Carlos [Madrid] (URJC), University of South Bohemia, Czech Academy of Sciences [Prague] (CAS), Czech University of Life Sciences Prague (CZU), Masaryk University [Brno] (MUNI), Zürich University of Applied Sciences (ZHAW), Universität Bayreuth, University of New South Wales [Sydney] (UNSW), CREAF - Centre for Ecological Research and Applied Forestries, Instituto de Ciencia de Materiales de Aragón [Saragoza, España] (ICMA-CSIC), University of Zaragoza - Universidad de Zaragoza [Zaragoza], Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), University of California [Davis] (UC Davis), University of California (UC), Charles University [Prague] (CU), Clínica Universidad de Navarra [Pamplona], Hamburg University of Applied Sciences [Hamburg], MTA-ELTE Research Group for Geology, Geophysics and Space Sciences, Eötvös Loránd University (ELTE)-Hungarian Academy of Sciences (MTA), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Liverpool, The James Hutton Institute, University of Tartu, Universidad Autónoma de Madrid (UAM), Centro Nacional de Biotecnología [Madrid] (CNB-CSIC), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Göttingen State and University Library (SUB Göttingen), Georg-August-University = Georg-August-Universität Göttingen, Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Biology Centre of the Czech Academy of Sciences (BIOLOGY CENTRE CAS), Groningen Institute for Evolutionary Life Sciences [Groningen] (GELIFES), University of Groningen [Groningen], Chinese Academy of Sciences [Beijing] (CAS), Wadden Sea Centre, University of Bergen (UiB), Museum of Natural History Görlitz, Natural Environment Research Council (NERC), Taizhou Vocational College of Science and Technology, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of California, Universidad Autonoma de Madrid (UAM), Biocomputing Unit [Madrid], Georg-August-University [Göttingen], Bello, Francesco de [0000-0001-9202-8198], Lepš, J. [0000-0002-4822-7429], Galland, Thomas [0000-0003-0883-8871], E‐Vojtkó, Anna [0000-0001-6370-680X], and Götzenberger, L. [0000-0003-3040-2900]
Subjects: 0106 biological sciences, Asynchrony, Biodiversity, DIVERSITY, Plant Science, Biology, Year-to-year fluctuation, 010603 evolutionary biology, 01 natural sciences, Ecology and Environment, Year‐to‐year fluctuation, RICHNESS, Statistics, Ecosystem, Temporal dynamics, 577: Ökologie, Relative species abundance, year-to-year fluctuation, 2. Zero hunger, Ecology, STABILITY, temporal dynamics, synchrony, Plant community, Moving window, 15. Life on land, Population variability, COMMUNITY, Synchrony, 13. Climate action, COMPENSATORY DYNAMICS, BIODIVERSITY, Species richness, asynchrony, Quadrat, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Stability, 010606 plant biology & botany
Abstract: Questions. Compensatory dynamics are described as one of the main mechanisms that increase community stability, e.g., where decreases of some species on a year‐to‐year basis are offset by an increase in others. Deviations from perfect synchrony between species (asynchrony) have therefore been advocated as an important mechanism underlying biodiversity effects on stability. However, it is unclear to what extent existing measures of synchrony actually capture the signal of year‐to‐year species fluctuations in the presence of long‐term directional trends in both species abundance and composition (species directional trends hereafter). Such directional trends may lead to a misinterpretation of indices commonly used to reflect year‐to‐year synchrony. Methods. An approach based on three‐term local quadrat variance (T3) which assesses population variability in a three‐year moving window, was used to overcome species directional trend effects. This “detrending” approach was applied to common indices of synchrony across a worldwide collection of 77 temporal plant community datasets comprising almost 7,800 individual plots sampled for at least six years. Plots included were either maintained under constant “control” conditions over time or were subjected to different management or disturbance treatments. Results. Accounting for directional trends increased the detection of year‐to‐year synchronous patterns in all synchrony indices considered. Specifically, synchrony values increased significantly in ~40% of the datasets with the T3 detrending approach while in ~10% synchrony decreased. For the 38 studies with both control and manipulated conditions, the increase in synchrony values was stronger for longer time series, particularly following experimental manipulation. Conclusions. Species’ long‐term directional trends can affect synchrony and stability measures potentially masking the ecological mechanism causing year‐to‐year fluctuations. As such, previous studies on community stability might have overemphasised the role of compensatory dynamics in real‐world ecosystems, and particularly in manipulative conditions, when not considering the possible overriding effects of long‐term directional trends., We thank multiple entities for the financial support necessary to obtain the different databases: the U.S. National Science Foundation under grant numbers DEB‐8114302, DEB‐8811884, DEB‐9411972, DEB‐0080382, DEB‐0620652, DEB‐1234162, DEB‐9707477, DEB‐0316402, DEB‐08‐16453, and DEB‐12‐56034, DEB‐0618210, the Nutrient Network (http://www.nutnet.org) experiment from the National Science Foundation Research Coordination Network (NSF‐DEB‐1042132), the New Zealand National Vegetation Survey Databank, the Spanish MINECO (Project CGL2014‐53789‐R), the Madrid Regional Government (Projects REMEDINAL‐3 and REMEDINAL‐TE), the European Research Council Synergy grant 610028 (IMBALANCE‐P), the Institute on the Environment (DG‐0001‐13), the SOERE‐ACBB financed through French National Agency for Research (ANAEE‐F, ANR‐11‐INBS‐0001), the Estonian Research Council (IUT 20‐28, IUT 20‐29), Czech Science Foundation (GAČR 17‐05506S and 19‐28491X), the European Regional Development Fund (Centre of Excellence EcolChange), the German Federal Environmental Foundation (DBU) for a grant to the NABU Hamburg (management experiment Calamagrostis epigejos), and the German Federal Ministry of Education and Research within the framework of the project BIOTA Southern Africa (promotion numbers 01LC0024, 01LC0024A and 01LC0624A2), Task 159 of SASSCAL (promotion number 01LG1201) and the Scottish Government's Rural and Environmental Science and Analytical Services division. Acknowledgement Data owned by NERC© Database Right/Copyright NERC. Further support was provided by the Jornada Basin Long‐Term Ecological Research (LTER) project, Cedar Creek Ecosystem Science Reserve and the University of Minnesota. We also thank the Lawes Agricultural Trust and Rothamsted Research for data from the e‐RA database. The Rothamsted Long‐term Experiments National Capability (LTE‐NCG) is supported by the UK Biotechnology and Biological Sciences Research Council (Grant BBS/E/C/000J0300) and the Lawes Agricultural Trust.
Published: 2020

8. Reproductive phenology as a dimension of the phenotypic space in 139 plant species from the Mediterranean

Author: Marie-Laure Navas, Jules Segrestin, Eric Garnier, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: 0106 biological sciences, 0301 basic medicine, Mediterranean climate, Perennial plant, Physiology, Seed dispersal, Context (language use), Flowers, Plant Science, Biology, 01 natural sciences, Flowering, 03 medical and health sciences, Quantitative Trait, Heritable, Species Specificity, Seed maturation, Plant Physiological Phenomena, ComputingMilieux_MISCELLANEOUS, Plant traits, Principal Component Analysis, Mediterranean Region, Phenology, Ecology, Reproduction, fungi, Water, food and beverages, 15. Life on land, Herbaceous plant, Comparative ecology, Phenotype, 030104 developmental biology, Phenotypic space, Seeds, Reproductive phenology, Trait, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: Phenology, the study of seasonal timing of events in nature, plays a key role in the matching between organisms and their environment. Yet, it has been poorly integrated in trait-based descriptions of the plant phenotype. Here, we focus on three phases of reproductive phenology - time of flowering, time of seed dispersal and duration of seed maturation - to test how these traits relate to other recognized dimensions of plant functioning. Traits describing reproductive phenology, together with reproductive plant height, seed mass, area of a leaf, and traits involved in leaf economics, were compiled for 139 species growing under Mediterranean climate conditions. Across all species, flowering time was positively related to reproductive height, while the duration of seed maturation was related to leaf economics. Relationships differed among growth forms, however: flowering time and reproductive height were related both in annuals and in herbaceous perennials, whereas the duration of seed maturation was related to seed mass only in annuals; no correlations were found for woody species. Phenology relates to other dimensions of plant functioning in a complex manner, suggesting that it should be considered as an independent dimension in the context of plant strategies.
Published: 2020

9. A revised trait-based framework for agroecosystems including decision rules

Author: Marie-Laure Navas, Gaëlle Damour, Eric Garnier, Fonctionnement agroécologique et performances des systèmes de cultures horticoles (UPR HORTSYS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), ONERA - The French Aerospace Lab [Meudon], and ONERA-Université Paris Saclay (COmUE)
Subjects: 0106 biological sciences, Écologie, F40 - Écologie végétale, Agriculteur, Computer science, F08 - Systèmes et modes de culture, agroécologie, 010603 evolutionary biology, 01 natural sciences, Ecosystem services, Agriculture durable, Agroecology, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, Structure (mathematical logic), Ecology, business.industry, Environmental resource management, 04 agricultural and veterinary sciences, Decision rule, 15. Life on land, Environmental economics, Pratique culturale, approches participatives, Agroécosystème, Agriculture, Choix des espèces, Sustainability, 040103 agronomy & agriculture, Trait, 0401 agriculture, forestry, and fisheries, Système de culture, Biodiversité, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business, Cropping
Abstract: Summary Designing agroecological cropping systems, which have enhanced biodiversity and that improve agroecosystem services, is recognized as the most likely method of improving the environmental sustainability of agriculture. However, tools and methods for designing such systems are lacking. To help fill this gap, we propose a revised trait-based response/effect framework as applied to agroecosystems, which takes into account farmers' decision rules. The framework consists of a “Biophysical module”, which describes the biophysical functioning of the agroecosystem on a response/effect traits basis and a “Decision module”, which encompasses the farmer's choices that follow decision rules, to account for the high degree of human control of filters and community structure operating in cultivated systems. The introduction of the Decision module and its interactions with the Biophysical module opens new research priorities related to trade-offs between services, to species choice and to the relationships between the community composition, functional structure and the functions. Synthesis and applications. We proposed a revised trait-based response/effect framework as applied to agroecosystems, which incorporates farmers' decisions. This framework has great potential to address questions related to the strategic choices associated with multispecies cropping system design, from plant (species choices) to community (optimization of community composition) scales. It also contributes to improving the rationale to manage multifunctional agroecosystems, which extend beyond yield alone, by enabling the exploration of trade-offs between ecosystem services.
Published: 2017

10. Plant community structure and nitrogen inputs modulate the climate signal on leaf traits

Author: Cyrille Violle, Henry Brisse, Sylvain Diquélou, Alexis Mikolajczak, Nicolas Viovy, Guilhem Debarros, Sandra Lavorel, Eric Garnier, Bernard Amiaud, Benjamin Borgy, Claudy Jolivet, Pierre Denelle, Patrice de Ruffray, Jens Kattge, Servane Lemauviel-Lavenant, Peter M. van Bodegom, Michael Bahn, Jenny C. Ordoñez, Jean Olivier, Philippe Choler, Jessy Loranger, François Munoz, Sophie Gachet, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre de Synthèse et d’Analyse sur la Biodiversité (CESAB), Fondation pour la recherche sur la Biodiversité (FRB), Université de Grenoble, Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National de la Recherche Agronomique (INRA), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, German Centre for Integrative Biodiversity Research, Université de Sherbrooke (UdeS), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), University of Innsbruck, VU University Amsterdam, Fédération des Conservatoires Botaniques Nationaux, Ecophysiologie Végétale, Agronomie et Nutritions (EVA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Recherche Agronomique (INRA), InfoSol (InfoSol), Conservatoire Botanique National Alpin, Institut de biologie moléculaire des plantes (IBMP), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Université de Strasbourg (UNISTRA), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Systems Ecology, Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Sherbrooke University, Unité INFOSOL (ORLEANS INFOSOL), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Institut National de la Recherche Agronomique (INRA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), École Pratique des Hautes Études (EPHE), Leopold Franzens Universität Innsbruck - University of Innsbruck, Vrije Universiteit Amsterdam [Amsterdam] (VU), Conservatoire Botanique National Alpin (CBNA), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0106 biological sciences, Biogeochemical cycle, community functional structure, Specific leaf area, plant community, permanent pastures, Growing season, Biology, modèle, 010603 evolutionary biology, 01 natural sciences, growing season length, fertilisation, permanent grasslands, functional biogeography, Nutrient, trait foliaire, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, environmental gradients, Relative species abundance, Ecology, Evolution, Behavior and Systematics, 2. Zero hunger, numerical models, écosystème terrestre, Global and Planetary Change, Ecology, land management, terrestrial ecosystems, facteur climatique, Plant community, prairie permanente, Vegetation, biogeochemical cycle, 15. Life on land, functional diversity, communauté végétale, Agronomy, fertilization, plant traits, 13. Climate action, azote disponible, Terrestrial ecosystem, cycle biogéochimique, 010606 plant biology & botany
Abstract: Aim: Leaf traits strongly impact biogeochemical cycles in terrestrial ecosystems. Understanding leaf trait variation along environmental gradients is thus essential to improve the representation of vegetation in Earth system models. Our aims were to quantify relationships between leaf traits and climate in permanent grasslands at a biogeographical scale and to test whether these relationships were sensitive to (a) the level of nitrogen inputs and (b) the inclusion of information pertaining to plant community organization. Location: Permanent grasslands throughout France. Methods: We combined existing datasets on climate, soil, nitrogen inputs (fertilization and deposition), species composition and four traits, namely specific leaf area, leaf dry matter content and leaf nitrogen and phosphorus concentrations, for 15,865 French permanent grasslands. Trait–climate relationships were tested using the following four climatic variables available across 1,833 pixels (5 km × 5 km): mean annual temperature (MAT) and precipitation (MAP), and two indices accounting for the length of the growing season. We compared these relationships at the pixel level using either using community-level or species’ trait means. Results: Our findings were as follows: (a) leaf traits related to plant nutrient economy shift consistently along a gradient of growing season length accounting for temperature and soil water limitations of plant growth (GSLtw); (b) weighting leaf traits by species abundance in local communities is pivotal to capture leaf trait–environment relationships correctly at a biogeographical scale; and (c) the relationships between traits and GSLtw weaken for grasslands with a high nitrogen input. Main conclusions: The effects of climate on plant communities are better described using composite descriptors than coarse variables such as MAT or MAP, but appear weaker for high-nitrogen grasslands. Using information at the community level tends to strengthen trait–climate relationships. The interplay of land management, community assembly and bioclimate appears crucial to the prediction of leaf trait variations and their effects on biogeochemical cycles.
Published: 2017

11. Towards a thesaurus of plant characteristics

Author: Eric Garnier, Pedro Jaureguiberry, Stefan Klotz, J. Hans C. Cornelissen, Marie-Angélique Laporte, Gerhard Bönisch, Evan Weiher, Bernard Amiaud, Lutz Maicher, Sandra Díaz, Mark Schildhauer, Sophie Gachet, Christian Wirth, Baptiste Laporte, Ingolf Kühn, Farshid S. Ahrestani, Natalia Pérez-Harguindeguy, Ulrike Stahl, Hendrik Poorter, Cyrille Violle, Ian J. Wright, Bill Shipley, Sandra Lavorel, Isabelle Mougenot, Jens Kattge, Michael Kleyer, Daniel E. Bunker, Brian J. Enquist, Publica, Systems Ecology, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre de Synthèse et d’Analyse sur la Biodiversité (CESAB), Fondation pour la recherche sur la Biodiversité (FRB), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, German Centre for Integrative Biodiversity Research (iDiv), Helmholtz Centre for Environmental Research (UFZ), Bioversity International [Rome], Consultative Group on International Agricultural Research [CGIAR], Département Environnement et Ressources [Montpellier] (ESPACE-DEV), Université de Montpellier (UM)-Université de La Réunion (UR)-Université des Antilles et de la Guyane (UAG), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Department of Ecology, Evolution and Environmental Biology, Columbia University [New York], Frontier Wildlife Conservation [Mumbai], New Jersey Institute of Technology [Newark] (NJIT), Vrije Universiteit Amsterdam [Amsterdam] (VU), Instituto Multidisciplinario de Biología Vegetal [Córdoba] (IMBIV), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas, Físicas y Naturales [Córdoba], Universidad Nacional de Córdoba [Argentina]-Universidad Nacional de Córdoba [Argentina], Department of Ecology and Evolutionary Biology [University of Arizona], University of Arizona, Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Faculty 5, Institute of Biology and Environmental Sciences, AG Zoosystematics, University of Oldenburg, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Friedrich-Schiller-Universität Jena, Fraunhofer Center for International Management and Knowledge Economics (Fraunhofer MOEZ), Forschungszentrum Jülich GmbH, National Center for Ecological Analysis and Synthesis (NCEAS), Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada, Université de Sherbrooke, University of Wisconsin - Eau Claire (UWEC), Universität Leipzig [Leipzig], Dpt Biological Sciences, Macquarie University, Macquarie University, GDR 2574 (‘Traits’)of CNRS (France), the TraitNet Research Coordination Network (US NationalScience Foundation Grant No. 0639161), the SONet effort (US NSF Grant No.0753144), the project ‘Towards a unifying system of plant trait definition andmeasurement’ (the German Centre for Integrative Biodiversity Research (iDiv)Halle-Jena-Leipzig/Deutsche Forschungsgemeinschaft via Grant No. 50170649_#16), the German Federation for Biological Data - GFBio (DeutscheForschungsgemeinschaft via Grant No. KA 3323/2-2), and FONCyT, CONICET,Universidad Nacional de Cordoba and Inter-American Institute for GlobalChange Research (CRN 2015 and SGP-CRA2015, supported by NS grantsGEO-0452325 and GEO-1138881)
Subjects: 0106 biological sciences, thesaurus, PLANT CHARACTERISTICS, Computer science, Otras Ciencias Biológicas, plant trait, Context (language use), CONTROLLED VOCABULARY, Plant Science, Ontology (information science), ECOLOGY, Semantics, 010603 evolutionary biology, 01 natural sciences, Terminology, Ciencias Biológicas, INFORMATICS, PLANT TRAIT, SEMANTICS, Controlled vocabulary, plant environmental association, informatics, THESAURUS, ontology, Semantic Web, semantics, Ecology, Evolution, Behavior and Systematics, biodiversity, Thesaurus (information retrieval), Ecology, Biological Ontologies, 15. Life on land, PLANT ENVIROMENTAL ASSOCIATION, ONTOLOGY, 13. Climate action, BIODIVERSITY, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ecology, CIENCIAS NATURALES Y EXACTAS, plant characteristics, 010606 plant biology & botany, controlled vocabulary
Abstract: The context of Open Biological Ontologies; (ii) whenever possible, the Entities and Qualities aretaken from existing terminology standards, mainly the Plant Ontology (PO) and Phenotypic QualityOntology (PATO) ontologies; and (iii) whenever a characteristic already has a definition, if appropriate,it is reused and referenced. The development of TOP, which complies with semantic web principles,was carried out through the involvement of experts from both the ecology and the semanticsresearch communities. Regular updates of TOP are planned, based on community feedback andinvolvement.3. TOP provides names, definitions, units, synonyms and related terms for about 850 plant characteristics.TOP is available online (www.top-thesaurus.org), and can be browsed using an alphabeticallist of characteristics, a hierarchical tree of characteristics, a faceted and a free-text search, andthrough an Application Programming Interface.4. Synthesis. Harmonizing definitions of concepts, as proposed by TOP, forms the basis for betterintegration of data across heterogeneous data sets and terminologies, thereby increasing the potentialfor data reuse. It also allows enhanced scientific synthesis. TOP therefore has the potential toimprove research and communication not only within the field of ecology, but also in related fieldswith interest in plant functioning and distribution Fil: Garnier, Eric. Université de Montpellier. Centre d'Ecologie Fonctionnelle et Evolutive; Francia Fil: Stahl, Ulrike. German Centre for Integrative Biodiversity Research; Alemania. Max-Planck-Institute for Biogeochemistry; Alemania. Department of Community Ecology, Helmholtz Centre for Environmental Research; Alemania Fil: Laporte, Marie-Angelique. Université de Montpellier. Centre d'Ecologie Fonctionnelle et Evolutive; Francia. German Centre for Integrative Biodiversity Research; Alemania. Bioversity International; Italia Fil: Kattge, Jens. Max-Planck-Institute for Biogeochemistry; Alemania. German Centre for Integrative Biodiversity Research; Alemania Fil: Mougenot, Isabelle. Maison de la Télédétection; Francia Fil: Kuhn, Ingolf. German Centre for Integrative Biodiversity Research; Alemania Fil: Laporte, Baptiste. Centre for the Synthesis and Analysis of Biodiversity; Francia Fil: Amiaud, Bernard. Université de Lorraine; Francia Fil: Ahrestani, Farshid S.. Columbia University; Estados Unidos Fil: Bonisch, Gerhard. Max-Planck-Institute for Biogeochemistry; Alemania Fil: Bunker, Daniel E.. New Jersey Institute of Technology. Department of Biological Sciences; Estados Unidos Fil: Cornelissen, Johannes H. C.. Vrije Universteit; Países Bajos Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Enquist, Brian J.. University of Arizona; Estados Unidos Fil: Gachet, Sophie. Avignon Université Avignon Université. Institut Méditerranéen de Biodiversité et d'Ecologie marine et continentale; Francia Fil: Jaureguiberry, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Kleyer, Michael. University of Oldenburg. Institute of Biology and Environmental Sciences; Alemania Fil: Lavorel, Sandra. Université Joseph Fourier; Francia Fil: Maicher, Lutz. Universitat Jena; Alemania Fil: Pérez Harguindeguy, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Poorter, Hendrik. Forschungszentrum Jülich; Alemania Fil: Schildhauer, Mark. University of California. National Center for Ecological Analysis and Synthesis; Estados Unidos Fil: Shipley, Bill. Université de Sherbrooke; Canadá Fil: Violle, Cyrille. Université de Montpellier; Francia Fil: Weiher, Evan. University of Wisconsin; Estados Unidos Fil: Wirth, Christian. German Centre for Integrative Biodiversity Research; Alemania Fil: Wright, Ian J.. Macquarie University; Australia Fil: Klotz, Stefan. Helmholtz Centre for Environmental Research; Alemania
Published: 2017

12. D2KAB project taking off: Data to Knowledge in Agronomy and Biodiversity

Author: Aubin, Sophie, Adam-Blondon, Anne-Francoise, Alaux, Michael, Ba, Mouhamadou, Bernard, Stéphan, Bisquert, Pierre, Bossy, Robert, Brun, François, Buche, Patrice, Castelltort, Arnaud, Corby, Olivier, Cufi, Julien, David, Romain, Deleger, Louise, Dzale Yeumo, Esther, Faron Zucker, Catherine, Eric, Garnier, Graybeal, John, Haezebrouck, Théo-Paul, Larmande, Pierre, Menut, Luc, Michel, Franck, Musen, Mark, Nédellec, Claire, Pichot, Christian, Pinet, François, Pommier, Cyril, Roumet, Catherine, Roussey, Catherine, Todorov, Konstantin, Toulet, Anne, Jonquet, Clement, DIST Délégation Information Scientifique et Technique (DV-IST), Institut National de la Recherche Agronomique (INRA), Unité de Recherche Génomique Info (URGI), Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE), Technologies et systèmes d'information pour les agrosystèmes (UR TSCF), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Association de Coordination Technique Agricole (ACTA), Fuzziness, Alignments, Data & Ontologies (FADO), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA), Université Côte d'Azur (UCA), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Stanford Center for BioMedical Informatics Research (BMIR), Stanford University [Stanford], API-AGRO, Diversité, adaptation, développement des plantes (UMR DIADE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Research Data Alliance, D2KAB, ANR-18-CE23-0017,D2KAB,DATA TO KNOWLEDGE IN AGRICULTURE AND BIODIVERSITY(2018), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), WEB-CUBE, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Stanford University, Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Ecologie des Forêts Méditerranéennes (URFM), Délégation à l’information scientifique et technique (Cirad -Dgdrs-DIST), Direction Générale Déléguée à la Recherche et à la Stratégie (Cirad-Dgdrs), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), ANR-18-CE23-0017,D2KAB,Des Données aux Connaissances en Agronomie et Biodiversité(2018), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Les instituts techniques agricoles (Acta), WEB Architecture x Semantic WEB x WEB of Data (WEB3), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Subjects: 2. Zero hunger, Ontology alignment, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Text mining, [INFO.INFO-WB]Computer Science [cs]/Web, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, Agriculture, Biodiversity, 15. Life on land, Agronomy, 12. Responsible consumption, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Ontology repository, 13. Climate action, Knowledge graphs, Ontologies, Data integration, Linked open data, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Semantic Web, Ontologies, Ontology repository, Ontology alignment, Linked open data, Knowledge graphs, Data integration, Text mining, Agronomy, Agriculture, Biodiversity, Ecosystem, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Ecosystem, Semantic Web
Abstract: Agronomy/agriculture and biodiversity (ag & biodiv) communities face several major societal, economic, and environmental challenges that data science approaches will help address. To achieve their goals, researchers of these communities must be able to rapidly discover, aggregate, integrate, and analyse different types of data and information sources. Semantic technologies, combined to open, FAIR data and services, is one of the answers to fully knowledge-driven, and transparent science and innovation. The D2KAB project (www.d2kab.org) aims to create a framework to turn agronomy and biodiversity data into knowledge – semantically described, interoperable, actionable, open – and investigate the scientific methods and tools to exploit this knowledge for applications in agriculture and biodiversity sciences. This project, funded by French ANR (2019-2023), will provide the means –ontologies and linked open data– for ag & biodiv to embrace semantic Web technologies in order to produce and exploit FAIR data and services. To do so, D2KAB will develop new original methods and algorithms in the following areas: data integration, text mining, semantic annotation, ontology alignment and linked data exploitation and visualization. D2KAB project brings together a unique multidisciplinary consortium of 12 partners to achieve this objective: 2 informatics research units (LIRMM, I3S); 6 INRA/IRSTEA/IRD research units at the interface of computer science and ag & biodiv (URGI, MaIAGE, IATE, DIST, TSCF, DIADE) specialized in agronomy or agriculture; 2 labs in biodiversity and ecosystem research (CEFE, URFM); 1 association of agriculture stakeholders (ACTA); and 1 partnership with Stanford BMIR department. Three main goals drive D2KAB’s roadmap: To develop state-of-the-art methods and technologies for ontology lifecycle and alignment. To build the agronomy, agriculture and biodiversity Linked Open Data cloud. To enable new semantically driven agronomy and biodiversity science. The work is starting from the recommendations of several RDA WG and IG already published or in progress (e.g. Agrisemantic WG, Vocabulary Services IG, Wheat and Rice Data Interoperability WGs, Agricultural Data IG, SHARC IG). Some of the key technological building blocks of D2KAB are AgroPortal, a reference repository for ontologies and vocabularies in agronomy; AgroLD, a semantic Web knowledge base that integrates agronomic data from public databases including GO associations, Gramene, UniprotKB, and OryGenesDB ; Corese, a semantic Web factory that implements the W3C standards RDF, RDFS, OWL-RL and SPARQL, and LDScript, a Linked Data Script Language, and STTL, the SPARQL Template Transformation Language for RDF; and Alvis, a text mining for semantic normalisation of free text by ontologies. D2KAB will allow the valorization of ag & biodiv data into real world applications leading to economic impact, smart agriculture and ecological preservation. Five driving scenarios are planned: development of an ontology-based expert system to select food packaging solutions; creation of an augmented semantic reader for Plant Health Bulletins; advanced integration of textual and experimental data on wheat phenotypes; development of new ontologies on plant root traits and extension of the Thesaurus Of Plant Characteristics; integration of plant functional biogeography data related to the Mediterranean Basin. Each of the project scenarios will have a significant impact and produce concrete outcomes for ag & biodiv scientific communities and socio-economic stakeholders in agriculture.
Published: 2019

13. Interactions between Soil and Vegetation: Structure of Plant Communities and Soil Functioning

Author: Grégoire T. Freschet, Eric Garnier, Cyrille Violle, Catherine Roumet, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Lemanceau, P. & Blouin, M., Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), and Garnier, Eric
Subjects: 0106 biological sciences, Absorption of water, Ecology, [SDE.MCG]Environmental Sciences/Global Changes, Plant community, 15. Life on land, 010603 evolutionary biology, 01 natural sciences, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, [SDE]Environmental Sciences, medicine, Environmental science, Terrestrial ecosystem, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, medicine.symptom, Vegetation (pathology), ComputingMilieux_MISCELLANEOUS, 010606 plant biology & botany
Abstract: International audience
Published: 2018

14. Climate as a driver of adaptive variations in ecological strategies in Arabidopsis thaliana

Author: Elena Kazakou, Kevin Sartori, Cyrille Violle, Etienne Baron, Florian Fort, Denis Vile, François Vasseur, Eric Garnier, Jules Segrestin, Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 (Evo-Eco-Paléo), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Département Biologie et Ecologie, Centre National de la Recherche Scientifique (CNRS), INRA, CNRS, the French Agency for Research (ANR grant ANR-17-CE02-0018-01, 'AraBreed' ), European Research Council (ERC) ('CONSTRAINTS': grant ERC-StG-2014-639706-CONSTRAINTS)., ANR-17-CE02-0018,AraBreed,Exploration des réponses évolutives des plantes à des changements environnementaux à la lumière des théories écologiques : un test expérimental chez l'espèce modèle Arabidopsis thaliana(2017), European Project: 609398,EC:FP7:PEOPLE,FP7-PEOPLE-2013-COFUND,AGREENSKILLSPLUS(2014), European Project: 639706,H2020,ERC-2014-STG,CONSTRAINTS(2015), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 (Evo-Eco-Paléo (EEP)), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3)
Subjects: 0106 biological sciences, CSR classification, Specific leaf area, Arabidopsis thaliana, Range (biology), Climate, [SDE.MCG]Environmental Sciences/Global Changes, Adaptation, Biological, Arabidopsis, Trait–environment relationships, Plant Science, Ecological strategy, Biology, 010603 evolutionary biology, 01 natural sciences, Genetic diversity, Life history theory, 03 medical and health sciences, Africa, Northern, Ruderal species, Adaptive differentiation, Biomass, Life History Traits, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Natural selection, Grime triangle, Ecology, fungi, Interspecific competition, 15. Life on land, biology.organism_classification, Latitudinal gradient, Europe, Plant Leaves, Functional trait, Trait, Adaptation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Research in Context, 010606 plant biology & botany, QST–FST
Abstract: Background and aimsThe ‘CSR classification’ categorizes plant species between stress-tolerators, ruderals (R) and competitors (C). Initially proposed as a general framework to describe ecological strategies at the interspecific level, this scheme has recently been used to investigate the variation of strategies within species. For instance, ample variation along the S-R axis was found in Arabidopsis thaliana, with stress-tolerator accessions predominating in hot and dry regions.MethodsIn this study, the range of CSR strategies within A. thaliana was evaluated across 426 accessions originating from North Africa to Scandinavia. A position in the CSR strategy space was allocated for every accession based on three functional traits: leaf area, leaf dry matter content (LDMC) and specific leaf area (SLA). Results were related to climate at origin and compared to a previous study performed on the same species. Furthermore, the role of natural selection in phenotypic differentiation between lineages was investigated with Qst-Fst comparisons, using the large genetic information available for this species.Key resultsSubstantial variation in ecological strategies along the S-R axis was found in A. thaliana. By contrast with previous findings, stress-tolerator accessions predominated in cold climates, notably Scandinavia, where late flowering was associated with traits related to resource conservation such as high LDMC and low SLA. Because of trait plasticity, variations in CSR classification to growth conditions were also observed for the same genotypes.ConclusionsThere is a latitudinal gradient of ecological strategies in A. thaliana as a result of within-species adaptation to climate. Our study also underlines the importance of growth conditions and of the methodology used for trait measurement, notably age versus stage measurement, to infer the strength and direction of trait-environment relationships. Taken together, this highlights the potential and limitations of the CSR classification to explain functional adaptation to the environment.
Published: 2018

15. Inter- and intra-specific trait shifts among sites differing in drought conditions at the north western edge of the Mediterranean Region

Author: Francisco Lloret, Karl Grigulis, Eric Garnier, Marie-Laure Navas, Sandra Lavorel, Catherine Roumet, Denis Vile, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Universitat Autònoma de Barcelona [Barcelona] (UAB), Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Universitat Autònoma de Barcelona (UAB), 'Biogéographie fonctionnelle des plantes du bassin méditerranéen' project funded by the BioDivMex initiative and was conducted with the support of LabEx CeMEB (convention ANR-10-LABX-0004) through the funding of the 'Plant functional biogeography in the Mediterranean' project, ANR-10-LABX-0004/10-LABX-0004,CeMEB,Mediterranean Center for Environment and Biodiversity(2010), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Grenoble Alpes (UGA)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UPVM)
Subjects: 0106 biological sciences, Mediterranean climate, Specific leaf area, [SDE.MCG]Environmental Sciences/Global Changes, Multivariate functional space, Climate change, Plant Science, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, 010603 evolutionary biology, 01 natural sciences, Intraspecific competition, Seed mass, Form and function, ComputingMilieux_MISCELLANEOUS, Ecology, Evolution, Behavior and Systematics, 2. Zero hunger, Within-species trait variability, Ecology, Water availability, food and beverages, Interspecific competition, 15. Life on land, Plant height, 13. Climate action, [SDE]Environmental Sciences, Leaf traits, Trait, Life form, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Water economy, 010606 plant biology & botany
Abstract: International audience; Identifying consistent and predictable associations between traits and environment is one of the oldest quest of ecology. Yet, there are few formal and robust quantification of such associations, which seriously impedes our capacity to predict how ecological systems respond to global changes, including climate. This study was designed to assess how differences in environmental conditions affect plant form and function in a wide array of species.Twelve traits were measured on 40 species in three Mediterranean sites differing in drought conditions. Some species being common among sites, 78 species belonging to four major Raunkiær life form categories were studied. These traits correspond to: (i) plant size: vegetative and maximum plant height, (ii) seed mass, (iii) leaf morpho-anatomical traits: leaf area, specific leaf area, dry matter content and thickness, (iv) leaf chemical composition: mass based nitrogen, phosphorus and carbon contents, and carbon isotopic fraction.On average, there was a shift in the phenotypic space towards more resource conservative and taller species in the drier sites. These changes were not always consistent for hemicryptophytes and chamaephytes on the one hand, and for phanerophytes on the other hand. This is interpreted as different species responding to different aspects of complex changes in environmental factors. Intraspecific trait variation differed among species, and was lower than interspecific variation. Changes in site-average trait values were therefore mostly driven by species turnover among sites.The traits selected do not respond strongly to the differences in environmental conditions however, resulting in a moderate shift in the phenotypic space between sites. We argue that traits more directly related to plant water economy should be considered for an improved description of plant phenotypic response to the environmental factors at stake. The implications for the prediction of plant responses to climate changes likely to occur in the Mediterranean Region are discussed.
Published: 2018

16. Plant demographic and functional responses to management intensification: A long-term study in a Mediterranean rangeland

Author: Paul Autran, Marie-Laure Navas, Christian Damgaard, Jean Richarte, Daniel Hubert, Eric Garnier, Corentin Leurent, Cyrille Violle, Pablo Cruz, Adeline Fayolle, Université de Liège, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Department of Biosciences, University of Aarhus, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Asco Numatics Joucomatic, Société Industrielle, Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Domaine expérimental de La Fage (LA FAGE), Institut National de la Recherche Agronomique (INRA), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Aarhus University [Aarhus], Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: 0106 biological sciences, Occupancy, [SDE.MCG]Environmental Sciences/Global Changes, Species distribution, Functional response, life-history strategy, Plant Science, Biology, 010603 evolutionary biology, 01 natural sciences, plant population and community dynamics, Life history theory, Abundance (ecology), grazing, Relative species abundance, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, axes of functional variation, Ecology, Phenology, 15. Life on land, Plant ecology, fertilization, plant traits, colonization and survival, life‐history strategy, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany, variations in species abundance
Abstract: International audience; 1. Understanding how functional traits, which are key for plant functioning, relate to demographic parameters of populations is central to tackle pending issues in plant ecology such as the forecast of the fate of populations and communities in a changing world, the quantification of community assembly processes or the improvement of species distribution models. We addressed this question in the case of species from a Mediterranean rangeland of southern France. 2. Changes in species abundance in response to management intensification (fertilization and increased grazing pressure) were followed over a 28-year period. Probabilities of presence, and elasticities of the changes in the probability of space occupancy to colonization and survival, which are analogues of demographic parameters, were calculated for 53 species from the time series of abundance data using a space occupancy model. Nine quantitative traits pertaining to resource use, plant morphology, regeneration and phenology were measured on these species and related to demographic parameters. 3. The long-term dynamics of species in response to management intensification was associated with major changes in functional traits and strategies. Changes in the probability of occurrence—analogous to population growth rate—were correlated with traits describing the fast-slow continuum of leaf functioning. The elasticity of population growth rate to colonization was significantly related to reproductive plant height and seed mass, and to a lower extent, to leaf carbon isotopic ratio. 4. Synthesis. The functional response of species to management intensification corresponds to a shift along the second axis of a recently identified global spectrum of plant form and function, which maps, to some extent, onto the fast-slow continuum of life-history strategies. By contrast, the elasticity of colonization relates to the global spectrum axis capturing the size of organs. Seed mass contributes to this axis and is assumed to relate to one of the important traits structuring the reproductive strategy axis of life histories as well, namely net reproductive rate. While this mapping between functional and life-history traits is appealing, further tests in contrasting types of communities are required to assess its degree of generality.
Published: 2018

17. Traits determining the digestibility–decomposability relationships in species from Mediterranean rangelands

Author: Eric Garnier, Olivier Gimenez, Iris Bumb, Elena Kazakou, Maria Del Rey Granado, Sylvain Coq, Johanne Nahmani, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Département Biologie et Ecologie, and Centre National de la Recherche Scientifique (CNRS)
Subjects: 0106 biological sciences, Nutrient cycle, Nitrogen, Plant Science, Biology, 010603 evolutionary biology, 01 natural sciences, Decomposer, Grazing, Dry matter, Ecosystem, Biomass, Herbivory, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, Herbivore, Biomass (ecology), Plant Stems, Mediterranean Region, Phosphorus, Original Articles, Plants, 15. Life on land, Plant Leaves, Agronomy, Litter, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Tannins, 010606 plant biology & botany
Abstract: Background and aims Forage quality for herbivores and litter quality for decomposers are two key plant properties affecting ecosystem carbon and nutrient cycling. Although there is a positive relationship between palatability and decomposition, very few studies have focused on larger vertebrate herbivores while considering links between the digestibility of living leaves and stems and the decomposability of litter and associated traits. The hypothesis tested is that some defences of living organs would reduce their digestibility and, as a consequence, their litter decomposability, through 'afterlife' effects. Additionally in high-fertility conditions the presence of intense herbivory would select for communities dominated by fast-growing plants, which are able to compensate for tissue loss by herbivory, producing both highly digestible organs and easily decomposable litter. Methods Relationships between dry matter digestibility and decomposability were quantified in 16 dominant species from Mediterranean rangelands, which are subject to management regimes that differ in grazing intensity and fertilization. The digestibility and decomposability of leaves and stems were estimated at peak standing biomass, in plots that were either fertilized and intensively grazed or unfertilized and moderately grazed. Several traits were measured on living and senesced organs: fibre content, dry matter content and nitrogen, phosphorus and tannin concentrations. Key results Digestibility was positively related to decomposability, both properties being influenced in the same direction by management regime, organ and growth forms. Digestibility of leaves and stems was negatively related to their fibre concentrations, and positively related to their nitrogen concentration. Decomposability was more strongly related to traits measured on living organs than on litter. Digestibility and decomposition were governed by similar structural traits, in particular fibre concentration, affecting both herbivores and micro-organisms through the afterlife effects. Conclusions This study contributes to a better understanding of the interspecific relationships between forage quality and litter decomposition in leaves and stems and demonstrates the key role these traits play in the link between plant and soil via herbivory and decomposition. Fibre concentration and dry matter content can be considered as good predictors of both digestibility and decomposability.
Published: 2018

18. Global trait–environment relationships of plant communities

Author: Esteban Álvarez-Dávila, Maurizio Mencuccini, Zhiyao Tang, Norbert Jürgens, Christopher Baraloto, Robert K. Peet, Jérôme Munzinger, Josep Peñuelas, Peter M. van Bodegom, Erwin Bergmeier, Wim A. Ozinga, Isabelle Aubin, Yadvinder Malhi, Michele De Sanctis, William Farfan-Rios, Marten Winter, Benjamin Blonder, Jordi Sardans, Christian Wirth, Valério D. Pillar, Nicole J. Fenton, Ilona Knollová, Jiří Doležal, Miguel D. Mahecha, Jens Kattge, Marijn Bauters, Zoltán Botta-Dukát, Francesco Maria Sabatini, Jonathan Lenoir, Peter B. Reich, Florian Jansen, Jorcely Barroso, Frédérique Louault, Anne D. Bjorkman, Alvaro G. Gutiérrez, Michael Kleyer, Matteo Dainese, Dylan Craven, Andraž Čarni, Anita K. Smyth, Gunnar Seidler, Idoia Biurrun, Ted R. Feldpausch, Javier Silva Espejo, Helge Bruelheide, Risto Virtanen, Tarek Hattab, Franziska Schrodt, Greg R. Guerin, Sandra Díaz, Anke Jentsch, Jürgen Dengler, Borja Jiménez-Alfaro, J. Hans C. Cornelissen, Kate H. Orwin, Bruno Hérault, Tomáš Černý, Stephan M. Hennekens, Erik Welk, Frederic Lens, Mohammed Abu Sayed Arfin Khan, Jacqueline Loos, Kiril Vassilev, Milan Chytrý, Jonas V. Müller, Christine Römermann, Sylvia Haider, Géraldine Derroire, Marcos Silveira, Greg H. R. Henry, Petr Petřík, Ülo Niinemets, Zygmunt Kącki, Isla H. Myers-Smith, Michael Kessler, Dirk Nikolaus Karger, Evan Weiher, Andrey Yu. Korolyuk, Richard Field, Raquel Thomas, Eric Garnier, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens-Christian Svenning, Corrado Marcenò, Aaron Pérez-Haase, Daniel C. Laughlin, Pedro Higuchi, Jürgen Homeier, Ute Jandt, Fabio Attorre, Karsten Wesche, Norbert Hölzel, Oliver L. Phillips, Ingolf Kühn, Marco Schmidt, Meelis Pärtel, David A. Neill, Maria Sporbert, Mariyana Lyubenova, Oliver Purschke, Arthur Vinicius Rodrigues, Ioannis Tsiripidis, Jan Altman, Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Universität Bayreuth, German Centre for Integrative Biodiversity Research (iDiv), UR Ecol & Dynam Syst Anthropises EDYSAN, UMR CNRS 7058, Université de Picardie Jules Verne (UPJV), Department of Botany and Zoology, Masaryk University, ALTERRA Wageningen, ALTERRA, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universiteit Leiden [Leiden], Fundación Con-Vida, Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Acre (UFAC), Ecology and Evolutionary Biology [Tucson] (EEB), University of Arizona, National Institute of Biology [Ljubljana], Universidad Rey Juan Carlos [Madrid] (URJC), Vrije Universiteit Amsterdam [Amsterdam] (VU), Royal Institute of Technology (KTH), Department of Microelectronics and Information Technology, Kista Photonics Research Center (KPRC) (KTH), Royal Institute of Technology [Stockholm] (KTH ), AgroParisTech, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Ecosystèmes et Ressources Aquatiques (UR03AGRO1), Institut National Agronomique de Tunisie, Westfälische Wilhelms-Universität Münster (WWU), Georg-August-Universität Göttingen, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Zurich, Landscape Ecology Group, University of Oldenburg, Helmholtz Zentrum für Umweltforschung (UFZ), Netherlands Centre for Biodiversity Naturalis, Institute of Ecology, Leuphana University, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Environmental Change Institute, University of Oxford [Oxford], School of Geosciences [Edinburgh], University of Edinburgh, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universidad Estatal Amazonica, Estonian University of Life Sciences, University of Nijmegen, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), Institute of Ecology and Earth Sciences, University of Tartu, University of Tartu, Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Universität Regensburg (REGENSBURG), Universität Regensburg, Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Dept Biol Sci, Ecoinformat & Biodivers Grp, Aarhus University [Aarhus], Aristotle University of Thessaloniki, Dept Biol, University of Oulu, University of Wisconsin-Eau Claire, Department of Botany, Senckenberg Natural History Museum, Synthesis Centre for Biodiversity Sciences, German Centre for Integrative Biodiversity Research, Universität Leipzig [Leipzig], Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Masaryk University [Brno] (MUNI), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University [Göttingen], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universitat Autònoma de Barcelona (UAB), University of Minnesota [Twin Cities] (UMN), Martin-Luther-University Halle-Wittenberg, Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Wageningen University and Research Centre [Wageningen] (WUR), Chercheur indépendant, Department of Ecological Modelling [UFZ Leipzig], Helmholtz Centre for Environmental Research (UFZ), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Hawkesbury Institute for the Environment [Richmond] (HIE), Western Sydney University (UWS), Bruelheide H., Dengler J., Purschke O., Lenoir J., Jimenez-Alfaro B., Hennekens S.M., Botta-Dukat Z., Chytry M., Field R., Jansen F., Kattge J., Pillar V.D., Schrodt F., Mahecha M.D., Peet R.K., Sandel B., van Bodegom P., Altman J., Alvarez-Davila E., Arfin Khan M.A.S., Attorre F., Aubin I., Baraloto C., Barroso J.G., Bauters M., Bergmeier E., Biurrun I., Bjorkman A.D., Blonder B., Carni A., Cayuela L., Cerny T., Cornelissen J.H.C., Craven D., Dainese M., Derroire G., De Sanctis M., Diaz S., Dolezal J., Farfan-Rios W., Feldpausch T.R., Fenton N.J., Garnier E., Guerin G.R., Gutierrez A.G., Haider S., Hattab T., Henry G., Herault B., Higuchi P., Holzel N., Homeier J., Jentsch A., Jurgens N., Kacki Z., Karger D.N., Kessler M., Kleyer M., Knollova I., Korolyuk A.Y., Kuhn I., Laughlin D.C., Lens F., Loos J., Louault F., Lyubenova M.I., Malhi Y., Marceno C., Mencuccini M., Muller J.V., Munzinger J., Myers-Smith I.H., Neill D.A., Niinemets U., Orwin K.H., Ozinga W.A., Penuelas J., Perez-Haase A., Petrik P., Phillips O.L., Partel M., Reich P.B., Romermann C., Rodrigues A.V., Sabatini F.M., Sardans J., Schmidt M., Seidler G., Silva Espejo J.E., Silveira M., Smyth A., Sporbert M., Svenning J.-C., Tang Z., Thomas R., Tsiripidis I., Vassilev K., Violle C., Virtanen R., Weiher E., Welk E., Wesche K., Winter M., Wirth C., Jandt U., Systems Ecology, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0106 biological sciences, [SDV]Life Sciences [q-bio], Bos- en Landschapsecologie, 01 natural sciences, Ecosystem services, forests, grassland, life history traits, plant dispersal, plants, Forest and Landscape Ecology, Environmental planning, OT PB Vredepeel, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, diversité fonctionnelle, Ecology, Vegetation, Plants, Grassland, économie foliaire, Biogeography, Community Ecology, Ecosystems Research, [SDE]Environmental Sciences, Trait, Vegetatie, Bos- en Landschapsecologie, F40 - Écologie végétale, F60 - Physiologie et biochimie végétale, [SDE.MCG]Environmental Sciences/Global Changes, education, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Life History Trait, Biology, Sustainability Science, 010603 evolutionary biology, température, Life Science, prédiction, Ecosystem, Forest, 577: Ökologie, Vegetatie, Ecology, Evolution, Behavior and Systematics, climat, Plant Dispersal, Niche differentiation, Plant community, 15. Life on land, Disturbance (ecology), Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), 010606 plant biology & botany
Abstract: International audience; Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
Published: 2018

19. Vegetation ecology meets ecosystem science: Permanent grasslands as a functional biogeography case study

Author: Eric Garnier, Nicolas Viovy, Servane Lemauviel-Lavenant, Guilhem Debarros, Cyrille Violle, Sandra Lavorel, Alexis Mikolajczak, François Munoz, Jessy Loranger, Jens Kattge, Claudy Jolivet, Sophie Gachet, Bernard Amiaud, Benjamin Borgy, Sylvain Diquélou, Jean Olivier, Philippe Choler, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Ecophysiologie Végétale, Agronomie et Nutritions (EVA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Recherche Agronomique (INRA), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Unité INFOSOL (ORLEANS INFOSOL), Institut National de la Recherche Agronomique (INRA), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Institut Français de Pondichéry (IFP), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Fondation pour la Recherche sur la Biodiversite, National Eye Research Centre, 221060, Marie Curie International Outgoing Fellowship, DIVERSITAS, IGBP, Global Land Project, GIS 'Climat, Environnement et Société' France, Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université Joseph Fourier - Grenoble 1 (UJF)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), InfoSol (InfoSol), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut National de la Recherche Agronomique (INRA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3)
Subjects: Environmental Engineering, Biogeography, Big data, Biodiversity, Functional diversity, Biology, Nutrient cycling, Plant databases, Ecoinformatics, Environmental Chemistry, Ecosystem, Plant traits, Waste Management and Disposal, Ecosystem science, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, 2. Zero hunger, Ecology, Land use, Community weighed mean (CWM), business.industry, Environmental resource management, 15. Life on land, Grassland, Pollution, 13. Climate action, Land Surface Models, Plant functional trait, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, C3 grasslands, business
Abstract: International audience; The effect of biodiversity on ecosystem functioning has been widely acknowledged, and the importance of the functional roles of species, as well as their diversity, in the control of ecosystem processes has been emphasised recently. However, bridging biodiversity and ecosystem science to address issues at a biogeographic scale is still in its infancy. Bridging this gap is the primary goal of the emerging field of functional biogeography. While the rise of Big Data has catalysed functional biogeography studies in recent years, comprehensive evidence remains scarce. Here, we present the rationale and the first results of a country-wide initiative focused on the C-3 permanent grasslands. We aimed to collate, integrate and process large databases of vegetation releves, plant traits and environmental layers to provide a country-wide assessment of ecosystem properties and services which can be used to improve regional models of climate and land use changes. We outline the theoretical background, data availability, and ecoinformatics challenges associated with the approach and its feasibility. We provide a case study of upscaling of leaf drymatter content averaged at ecosystemlevel and country-wide predictions of forage digestibility. Our framework sets milestones for further hypothesis testing in functional biogeography and earth system modelling. (C) 2015 Elsevier B.V. All rights reserved.
Published: 2015

20. REVIEW: Predictive ecology in a changing world

Author: Gael J. Kergoat, Laurence Meslin, Luc Doyen, Dominique Joly, Romain Julliard, Philippe Jarne, Michel Loreau, Frankl M. Schurr, Nicolas Mouquet, Roger Pradel, Olivier Gimenez, Hélène Morlon, Wilfried Thuiller, Sonia Kéfi, Yvan Lagadeuc, Xavier Morin, Denis Faure, Damien Eveillard, Vincent Devictor, Gilles Pinay, Franck Jabot, Eric Garnier, Anne Duputié, Serge Morand, Philippe Huneman, Sandra Lavorel, Line Le Gall, MARine Biodiversity Exploitation and Conservation ( UMR MARBEC ), Institut de Recherche pour le Développement ( IRD ) -Institut Français de Recherche pour l'Exploitation de la Mer ( IFREMER ) -Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), Ecosystèmes, biodiversité, évolution [Rennes] ( ECOBIO ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -INEE-Observatoire des Sciences de l'Univers de Rennes ( OSUR ) -Centre National de la Recherche Scientifique ( CNRS ), Institut des Sciences de l'Evolution de Montpellier ( ISEM ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Université de Montpellier ( UM ) -Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique ( CNRS ), inconnu temporaire UPEMLV, Inconnu, Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 ( Evo-Eco-Paléo ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique de Nantes Atlantique ( LINA ), Mines Nantes ( Mines Nantes ) -Université de Nantes ( UN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Biologie Intégrative de la Cellule ( I2BC ), Université Paris-Sud - Paris 11 ( UP11 ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), ONERA - The French Aerospace Lab ( Meudon ), ONERA, Centre d’Ecologie Fonctionnelle et Evolutive ( CEFE ), Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Montpellier ( UM ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -École pratique des hautes études ( EPHE ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Université Paul-Valéry - Montpellier 3 ( UM3 ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'ingénierie pour les systèmes complexes ( UR LISC ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Laboratoire Evolution, Génomes, Comportement, Ecologie, CNRS/Université Paris-Sud UMR9191, IRD UMR247, Université Paris-Sud - Paris 11 ( UP11 ), Muséum National d'Histoire Naturelle ( MNHN ), Centre de Biologie pour la Gestion des Populations ( CBGP ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Université de Montpellier ( UM ) -Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Laboratoire d'Ecologie Alpine ( LECA ), Centre National de la Recherche Scientifique ( CNRS ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Université Grenoble Alpes ( UGA ), Muséum National d’Histoire Naturelle ( MNHN ), Institut de biologie de l'ENS Paris (UMR 8197/1024) ( IBENS ), Département de Biologie - ENS Paris, École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), UR Riverly, Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture ( IRSTEA ), Agence Française de Sécurité Sanitaire des Aliments ( AFSSA ), AFSSA, Theoretical and Experimental Ecology Station, and Centre National de la Recherche Scientifique ( CNRS )
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Ecology (disciplines), Big data, Context (language use), Biology, Ecological systems theory, 010603 evolutionary biology, 01 natural sciences, law.invention, law, Order (exchange), ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Ecology, business.industry, L70 - Sciences et hygiène vétérinaires - Considérations générales, 15. Life on land, Open data, 13. Climate action, Anticipation (artificial intelligence), CLARITY, P01 - Conservation de la nature et ressources foncières, business
Abstract: 1. In a rapidly changing world, ecology has the potential to move from empirical and conceptual stages to application and management issues. It is now possible to make large-scale predictions up to continental or global scales, ranging from the future distribution of biological diversity to changes in ecosystem functioning and services. With these recent developments, ecology has a historical opportunity to become a major actor in the development of a sustainable human society. With this opportunity, however, also comes an important responsibility in developing appropriate predictive models, correctly interpreting their outcomes and communicating their limitations. There is also a danger that predictions grow faster than our understanding of ecological systems, resulting in a gap between the scientists generating the predictions and stakeholders using them (conservation biologists, environmental managers, journalists, policymakers). 2. Here, we use the context provided by the current surge of ecological predictions on the future of biodiversity to clarify what prediction means, and to pinpoint the challenges that should be addressed in order to improve predictive ecological models and the way they are understood and used. 3. Synthesis and applications. Ecologists face several challenges to ensure the healthy development of an operational predictive ecological science: (i) clarity on the distinction between explanatory and anticipatory predictions; (ii) developing new theories at the interface between explanatory and anticipatory predictions; (iii) open data to test and validate predictions; (iv) making predictions operational; and (v) developing a genuine ethics of prediction.
Published: 2015

21. Sensitivity of community-level trait-environment relationships to data representativeness: a test for functional biogeography

Author: Jessy Loranger, Claudy Jolivet, Sylvain Diquélou, Eric Garnier, Alexis Mikolajczak, Pierre Cellier, Cyrille Violle, Jens Kattge, Servane Lemauviel-Lavenant, Jean Olivier, Philippe Choler, François Munoz, Sophie Gachet, Pierre Denelle, Nicolas Viovy, Guilhem Debarros, Bernard Amiaud, Benjamin Borgy, Sandra Lavorel, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Ecophysiologie Végétale, Agronomie et Nutritions (EVA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Recherche Agronomique (INRA), Aix Marseille Université (AMU), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), InfoSol (InfoSol), Institut National de la Recherche Agronomique (INRA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), FRB - CESAB project 'Assembling, analysing and sharing data on plant functional diversity to understand the effects of biodiversity on ecosystem functioning: a case study with French Permanent Grasslands' [DIVGRASS], European Project: 639706,H2020,ERC-2014-STG,CONSTRAINTS(2015), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Unité INFOSOL (ORLEANS INFOSOL), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Subjects: 0106 biological sciences, Specific leaf area, community functional structure, Ecology (disciplines), Biogeography, plant trait, Biology, 010603 evolutionary biology, 01 natural sciences, Representativeness heuristic, Plot (graphics), community-weighted mean [CWM], global database, Ecology, Evolution, Behavior and Systematics, trait sampling, 2. Zero hunger, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Global and Planetary Change, Ecology, food and beverages, Sampling (statistics), Vegetation, 15. Life on land, Trait, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, vegetation plot, 010606 plant biology & botany
Abstract: International audience; Aim: The characterization of trait–environment relationships over broad-scale gradients is a critical goal for ecology and biogeography. This implies the merging of plot and trait databases to assess community-level trait-based statistics. Potential shortcomings and limitations of this approach are that: (i) species traits are not measured where the community is sampled and (ii) the availability of trait data varies considerably across species and plots. Here we address the effect of trait data representativeness [the sampling effort per species and per plot] on the accuracy of (i) species-level and (ii) community-level trait estimates and (iii) the consequences for the shape and strength of trait–environment relationships across communities. Innovation: We combined information existing in databases of vegetation plots and plant traits to estimate community-weighted means [CWMs] of four key traits [specific leaf area, plant height, seed mass and leaf nitrogen content per dry mass] in permanent grasslands at a country-wide
Published: 2017

22. Recasting the dynamic equilibrium model through a functional lens: the interplay of trait-based community assembly and climate

Author: Pablo Cruz, Frédérique Louault, Sandra Lavorel, Grégory Loucougaray, Nicole Yavercovski, Jessy Loranger, Eric Garnier, François Mesléard, Bill Shipley, Anne Bonis, Cyrille Violle, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Département de Biologie, Université de Sherbrooke (UdeS), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA), Ecosystèmes montagnards (UR EMGR), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Centre de recherche de la Tour du Valat, INRA-EcoGer project DIVHERBE, GDRI 44745 'Dynamique de la biodiversité et traits d'histoire de vie', European Project: 221060,EC:FP7:PEOPLE,FP7-PEOPLE-2007-4-1-IOF,DIVERSITRAITS(2009), European Project: 639706,H2020,ERC-2014-STG,CONSTRAINTS(2015), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Sherbrooke University, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Unité de recherche sur l'Ecosystème Prairial, Ecosyst Montagnards, Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Subjects: 0106 biological sciences, Mixed model, [SDV]Life Sciences [q-bio], Biodiversity, Plant Science, Biology, niche theory, 010603 evolutionary biology, 01 natural sciences, Grassland, facilitation, Ecology, Evolution, Behavior and Systematics, 2. Zero hunger, geography, species packing, geography.geographical_feature_category, Ecology, business.industry, functional space, Environmental resource management, environmental filtering, 15. Life on land, determinants of plant community diversity and structure, Habitat, Productivity (ecology), Disturbance (ecology), Trait, community assembly, Species richness, business, 010606 plant biology & botany
Abstract: [Departement_IRSTEA]Territoires [TR1_IRSTEA]SEDYVIN; International audience; 1. According to the dynamic equilibrium hypothesis (DEH), plant species richness is locally controlled by productivity and disturbance. Given that regional conditions widely affect local environmental variables such as soil nutrient availability, the DEH predictions could be improved by considering how climate influences local controls of species richness. Further, a trait-based approach to community assembly has the potential to reveal a deeper, mechanistic understanding of species richness variation across environments. Here, we bring together DEH and trait-based community assembly expectations to examine whether and how local relationships between diversity, disturbance and productivity are affected by habitat filtering and regional climate.2. We specifically tested how gradients of local nutrient availability and disturbance intensity interact with climatic conditions to drive the species richness of grassland communities. Further, we recast the DEH through a functional lens by exploring how disturbance–diversity and nutrient availability–diversity relationships are shaped by the functional space occupied by species in a community and species packing within this functional space.3. The functional space occupied by co-occurring species and the way they are functionally packed are quantified using multi-trait indices calculated with five core plant functional traits. Working with grassland communities spread across differing regional climatic conditions, we used mixed models to test whether the variation in taxonomic and functional metrics corresponded to the DEH predictions as well as to determine the relationship between those metrics.4. Contrary to the expectations based on the relation between species richness and the functional components considered, taxonomic and functional metrics did not vary in accordance along environmental gradients. Climate strongly interacted with the local environment to modulate local diversity patterns, sometimes even inversing a given trend and falsifying the DEH predictions.5. Synthesis. Our findings quantitatively highlight the interplay between regional and local environmental gradients in driving community assembly. We demonstrate that, depending on climatic conditions, observed patterns of both taxonomic and functional community composition can be opposite to expected productivity–diversity and disturbance–diversity relationships. This emphasizes the relevance of multifaceted studies of biodiversity and the need for a more systematic quantification of regional controls in community assembly studies.
Published: 2016

23. Influence of management regime and harvest date on the forage quality of rangelands plants: the importance of dry matter content

Author: Laurent Bonnal, Elena Kazakou, Eric Garnier, Jean Richarte, Iris Bumb, Denis Bastianelli, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre National de la Recherche Scientifique (CNRS), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL), Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), École Pratique des Hautes Études (EPHE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3)
Subjects: 0106 biological sciences, Tussock, F60 - Physiologie et biochimie végétale, [SDV]Life Sciences [q-bio], Growing season, Forage, Plant Science, Biology, 010603 evolutionary biology, 01 natural sciences, fibre content, Dry matter content, dry matter digestibility, fertilization, fibre, content, grazing, growth form, nitrogen concentration, nutritional value of forage, Grazing, Dry matter, L02 - Alimentation animale, 2. Zero hunger, Biomass (ecology), Herbivore, 04 agricultural and veterinary sciences, 15. Life on land, Agronomy, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Rangeland, Research Article
Abstract: We investigated the sources of variation in forage quality in plants from species-rich Mediterranean rangelands in southern France. Digestibility was affected by species growth form, harvest date, developmental stage and management regime, and differed between leaves, stems and reproductive parts. The dry matter content of the different plant parts, an estimate of the density of their tissues closely related to fibre content, emerged as a good predictor and an easily measured trait to estimate digestibility in the wide range of species spanned in our study., In spite of their recognized ecological value, relatively little is known about the nutritional value of species-rich rangelands for herbivores. We investigated the sources of variation in dry matter digestibility (DMD), neutral detergent fibre content (NDF) and nitrogen concentration (NC) in plants from species-rich Mediterranean rangelands in southern France, and tested whether the dry matter content (DMC) was a good predictor of the forage quality of different plant parts. Sixteen plant species with contrasting growth forms (rosette, tussock, extensive and stemmed-herb) were studied, representative of two management regimes imposed in these rangelands: (i) fertilization and intensive grazing and (ii) non-fertilization and moderate grazing. Among the 16 plant species, four species were found in both treatments, allowing us to assess the intraspecific variability in forage quality and DMC across the treatments. The components of nutritional value (DMD, NDF and NC) as well as the DMC of leaves, stems and reproductive plant parts, were assessed at the beginning of the growing season and at peak standing biomass. All components of nutritional value and DMC were affected by species growth form: rosettes had higher DMD and NC than tussocks; the reverse being found for NDF and DMC. As the season progressed, DMD and NC of the different plant parts decreased while NDF and DMC increased for all species. DMC was negatively related to DMD and NC and positively to NDF, regardless of the source of variation (species, harvest date, management regime or plant part). Path analysis indicated that NDF was the main determinant of DMD. Better assessment of forage quality in species-rich systems requires consideration of their growth form composition. DMC of all plant parts, which is closely related to NDF, emerged as a good predictor and easily measured trait to estimate DMD in these species-rich systems.
Published: 2016

24. TRY - a global database of plant traits

Author: Walter Durka, Peter B. Reich, Sandy P. Harrison, William J. Bond, Bill Shipley, Matthew S. Waldram, Thomas Hickler, Jenny C. Ordoñez, Jon Lloyd, Jérôme Chave, Gerd Esser, Johannes M. H. Knops, Johannes H. C. Cornelissen, Owen K. Atkin, Lawren Sack, Raphaël Proulx, Gerhard Bönisch, Jeffrey Q. Chambers, Ülo Niinemets, H. Ford, Adel Jalili, Benjamin Blonder, Romà Ogaya, Kaoru Kitajima, Frédérique Louault, Andrew J. Kerkhoff, Walton A. Green, Steven Jansen, Andrew Siefert, Jean-François Soussana, Satomi Shiodera, Alvaro G. Gutiérrez, Enio E. Sosinski, David D. Ackerly, Sandra Patiño, Beatriz Salgado-Negret, Björn Reu, Peter E. Thornton, Miguel D. Mahecha, Sönke Zaehle, Leandro da Silva Duarte, Mark Westoby, Juli G. Pausas, Timothy R. Baker, Oliver L. Phillips, Daniel C. Laughlin, Sandra Díaz, Brian J. Enquist, Grégoire T. Freschet, S. J. Wright, Belinda E. Medlyn, Rachael V. Gallagher, Simon L. Lewis, Stefan Klotz, Valério D. Pillar, David A. Coomes, Michael T. White, Ken Thompson, Christian Wirth, Hiroko Kurokawa, Susana Paula, Tara Joy Massad, Ingolf Kühn, Ross A. Bradstock, Tali D. Lee, Joan Llusià, Koen Kramer, Peter Manning, Jens Kattge, F. S. Chapin, Gerhard E. Overbeck, Carlos Alfredo Joly, Shahid Naeem, Markus Reichstein, William K. Cornwell, Michael Kleyer, P.M. van Bodegom, Fernando Fernández-Méndez, Jingyun Fang, Daniel E. Bunker, Alessandra Fidelis, Tanja Lenz, Amy E. Zanne, Karin Nadrowski, William F. Fagan, Nikolaos M. Fyllas, Don Kirkup, Olivier Flores, Sandra Lavorel, S. Nöllert, Michelle R. Leishman, Siyan Ma, Paul Leadley, B. H. Dobrin, Dorothea Frank, Jordi Sardans, Renée M. Bekker, John G. Hodgson, Carolina C. Blanco, Michael Bahn, James J. Elser, Lourens Poorter, S. White, Josep Peñuelas, Marc Estiarte, Julie Messier, Frederic Lens, Ian J. Wright, Peter Poschlod, Madhur Anand, Emily Swaine, Hendrik Poorter, Cyrille Violle, Bryan Finegan, Wim A. Ozinga, Sabine Reinsch, Angela T. Moles, Eric Garnier, Fernando Casanoves, Dennis D. Baldocchi, Nadejda A. Soudzilovskaia, Sandra Cristina Müller, Nathan G. Swenson, Jacek Oleksyn, Jeannine Cavender-Bares, Joseph M. Craine, Anja Rammig, Yusuke Onoda, A. Nüske, Iain Colin Prentice, Steven I. Higgins, Benjamin Yguel, Andreas Prinzing, Evan Weiher, and Vladimir G. Onipchenko
Subjects: 2. Zero hunger, 0106 biological sciences, Global and Planetary Change, Functional ecology, 010504 meteorology & atmospheric sciences, Ecology, Database, Range (biology), Context (language use), Vegetation, 15. Life on land, Biology, Plant functional type, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, Trait, Environmental Chemistry, Biological dispersal, Species richness, computer, 0105 earth and related environmental sciences, General Environmental Science
Abstract: Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.
Published: 2011

25. Two Measurement Methods of Leaf Dry Matter Content Produce Similar Results in a Broad Range of Species

Author: Sandra Díaz, Eric Garnier, Maria Victoria Vaieretti, Denis Vile, Universidad Nacional de Córdoba [Argentina], Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), and FONCyT, CONICET, Universidad Nacional de Córdoba and Inter-American Institute for Global Change Research (IAI) CRN 2015 which is supported by the US National Science Foundation (Grant GEO-0452325).
Subjects: plant comparative ecology, LEAF DRY MATTER CONTENT, 0106 biological sciences, Range (biology), Otras Ciencias Biológicas, Argentina, Short Communications, Plant Science, Biology, 010603 evolutionary biology, 01 natural sciences, Ciencias Biológicas, Botany, Dry matter, Plant traits, leaf dry matter content, leaf rehydration, 2. Zero hunger, ARGENTINA, Measurement method, Functional ecology, plant functional traits, Plants, 15. Life on land, Plant Leaves, Horticulture, Content (measure theory), Resource use, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, PLANT TRAITS, CIENCIAS NATURALES Y EXACTAS, 010606 plant biology & botany
Abstract: Background and Aims Leaf dry matter content (LDMC) is widely used as an indicator of plant resource use in plant functional trait databases. Two main methods have been proposed to measure LDMC, which basically differ in the rehydration procedure to which leaves are subjected after harvesting. These are the ‘complete rehydration’ protocol of Garnier et al. (2001, Functional Ecology 15: 688–695) and the ‘partial rehydration’ protocol of Vendramini et al. (2002, New Phytologist 154: 147–157). † Methods To test differences in LDMC due to the use of different methods, LDMC was measured on 51 native and cultivated species representing a wide range of plant families and growth forms from central-western Argentina, following the complete rehydration and partial rehydration protocols. †Key Results and Conclusions The LDMC values obtained by both methods were strongly and positively correlated, clearly showing that LDMC is highly conserved between the two procedures. These trends were not altered by the exclusion of plants with non-laminar leaves. Although the complete rehydration method is the safest to measure LDMC, the partial rehydration procedure produces similar results and is faster. It therefore appears as an acceptable option for those situations in which the complete rehydration method cannot be applied. Two notes of caution are given for cases in which different datasets are compared or combined: (1) the discrepancy between the two rehydration protocols is greatest in the case of high-LDMC (succulent or tender) leaves; (2) the results suggest that, when comparing many studies across unrelated datasets, differences in the measurement protocol may be less important than differences among seasons, years and the quality of local habitats. Fil: Vaieretti, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Vile, Denis. Université de Sherbrooke; Canadá. Centre d'Ecologie Fonctionnelle et Evolutive; Francia Fil: Garnier, Eric. Centre d'Ecologie Fonctionnelle et Evolutive; Francia
Published: 2007

26. The global spectrum of plant form and function

Author: Stéphane Dray, Andrew N. Gillison, Jérôme Chave, Gerhard Bönisch, Miguel D. Mahecha, Angela Günther, Jens Kattge, Sandra Díaz, S. Joseph Wright, Michael Kleyer, Amy E. Zanne, Angela T. Moles, Hendrik Poorter, Eric Garnier, Bill Shipley, Hervé Jactel, Bruno Enrico Leone Cerabolini, Lucas D. Gorné, Mark Westoby, Björn Reu, Christian Wirth, Johannes H. C. Cornelissen, Don Kirkup, I. Colin Prentice, Simon Pierce, Peter B. Reich, Christopher Baraloto, Julia Joswig, Serge N. Sheremetev, Fernando Casanoves, Nadja Rüger, John B. Dickie, Ian J. Wright, Sandra Lavorel, Valeria Falczuk, AXA Research Fund, Systems Ecology, Amsterdam Global Change Institute, Ecologie quantitative et évolutive des communautés, Département écologie évolutive [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0106 biological sciences, Biodiversity, Databases, Factual, Genetic Variation, Internationality, Models, Biological, Nitrogen, Organ Size, Plant Development, Plant Leaves, Plant Stems, Plants, Reproduction, Seeds, Selection, Genetic, Species Specificity, Phenotype, Plant Physiological Phenomena, Multidisciplinary, [SDV]Life Sciences [q-bio], 01 natural sciences, EVOLUTIONARY ECOLOGY, Models, CLIMATE-CHANGE ECOLOGY, 2. Zero hunger, Spectrum (functional analysis), ECOSYSTEM ECOLOGY, Bioquímica y Biología Molecular, Multidisciplinary Sciences, SEED SIZE, KERNEL DENSITY-ESTIMATION, FOLIAR NITROGEN ISOTOPES, Science & Technology - Other Topics, RAIN-FOREST TREES, ECOPHYSIOLOGY, LEAF ECONOMICS SPECTRUM, Biological system, Ecosystem ecology, PHOTOSYNTHETIC CAPACITY, CIENCIAS NATURALES Y EXACTAS, Scale (ratio), General Science & Technology, Biology, Photosynthesis, 010603 evolutionary biology, Ciencias Biológicas, Databases, Genetic, Form and function, TRAIT-ENVIRONMENT RELATIONSHIPS, Botany, MD Multidisciplinary, Selection, Factual, DRY-MATTER CONTENT, Science & Technology, Plane (geometry), HAWAIIAN METROSIDEROS-POLYMORPHA, 15. Life on land, Biological, Photosynthetic capacity, BIODIVERSITY, RELATIVE GROWTH-RATE, 010606 plant biology & botany
Abstract: Earth is home to a remarkable diversity of plant forms and life histories, yet comparatively few essential trait combinationshave proved evolutionarily viable in today?s terrestrial biosphere. By analysing worldwide variation in six major traitscritical to growth, survival and reproduction within the largest sample of vascular plant species ever compiled, we foundthat occupancy of six-dimensional trait space is strongly concentrated, indicating coordination and trade-offs. Threequartersof trait variation is captured in a two-dimensional global spectrum of plant form and function. One majordimension within this plane reflects the size of whole plants and their parts; the other represents the leaf economicsspectrum, which balances leaf construction costs against growth potential. The global plant trait spectrum provides abackdrop for elucidating constraints on evolution, for functionally qualifying species and ecosystems, and for improvingmodels that predict future vegetation based on continuous variation in plant form and function. Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Kattge, Jens. Max Planck Institute for Biogeochemistry; Alemania Fil: Cornelissen, Johannes H. C.. Vrije Universiteit; Países Bajos Fil: Wright, Ian J.. Macquarie University; Australia Fil: Lavorel, Sandra. Université Grenoble Alpes; Francia Fil: Dray, Stéphane. Université Lyon; Francia Fil: Reu, Björn. University of Leipzig; Francia Fil: Kleyer, Michael. University of Oldenburg; Alemania Fil: Wirth, Christian. Max Planck Institute for Biogeochemistry; Alemania Fil: Prentice, I. Colin. Macquarie University; Australia Fil: Garnier, Eric. Université Paul-Valéry Montpellier; Francia Fil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; Alemania Fil: Westoby, Mark. Macquarie University; Australia Fil: Poorter, Hendrik. Forschungszentrum Jülich GmbH; Alemania Fil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Western Sydney; Australia Fil: Moles, Angela T.. University of New South Wales; Australia Fil: Dickie, John. The Royal Botanic Gardens Kew; Reino Unido Fil: Gillison, Andrew N.. Center for Biodiversity Management; Australia Fil: Zanne, Amy E.. George Washington University; Estados Unidos. Missouri Botanical Garden; Estados Unidos Fil: Chave, Jérôme. Université Paul Sabatier; Francia Fil: Wright, S. Joseph. Smithsonian Tropical Research Institute; Estados Unidos Fil: Sheremetev, Serge N.. Komarov Botanical Institute; Rusia Fil: Jactel, Hervé. Université de Bordeaux; Francia Fil: Baraloto, Christopher. Florida International University; Estados Unidos. Ecologie des Forêts de Guyane; Guayana Francesa Fil: Cerabolini, Bruno. University of Insubria; Italia Fil: Pierce, Simon. University of Milan; Italia Fil: Shipley, Bill. Université de Sherbrooke; Canadá Fil: Kirkup, Donald. The Royal Botanic Gardens Kew; Reino Unido Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa Rica Fil: Joswig, Julia S.. Max Planck Institute for Biogeochemistry; Alemania Fil: Günther, Angela. Max Planck Institute for Biogeochemistry; Alemania Fil: Falczuk, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Rüger, Nadja. German Centre for Integrative Biodiversity Research; Alemania Fil: Mahecha, Miguel D.. Max Planck Institute for Biogeochemistry; Alemania Fil: Gorne, Lucas Damián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Published: 2015

27. A Functional Characterisation of a Wide Range of Cover Crop Species: Growth and Nitrogen Acquisition Rates, Leaf Traits and Ecological Strategies

Author: Olivier Flores, Eric Justes, Hélène Tribouillois, Pablo Cruz, Raphaël Charles, Florian Fort, Eric Garnier, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institute of Plant Production Sciences, Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Arvalis-Institut du Vegetal, Midi-Pyrenees Region, UMR AGIR lab, INRA (Institut national de la recherche agronomique), ANR (Agence nationale de la recherche) (MicMac-design, Programme STRA), ANR-09-STRA-0006,MicMac Design,Conception et évaluation par expérimentation et modélisation de prototypes de systèmes de culture intégrés à bas niveaux d'intrants(2009), Université de Toulouse (UT)-Université de Toulouse (UT), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Subjects: 0106 biological sciences, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Crops, Agricultural, Specific leaf area, Nitrogen, Biodiversité et Ecologie, media_common.quotation_subject, plant trait, lcsh:Medicine, Ecological and Environmental Phenomena, dry-matter content, catch crop, litter quality, wild, grassland, root, decomposability, photosynthesis, domestication, Biology, 01 natural sciences, Competition (biology), Biodiversity and Ecology, Crop, Green manure, Poaceae, lcsh:Science, Cover crop, Nitrogen cycle, media_common, 2. Zero hunger, Multidisciplinary, lcsh:R, Biological Transport, 04 agricultural and veterinary sciences, 15. Life on land, Agricultural sciences, Plant Leaves, Agricultural soil science, Agronomy, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, lcsh:Q, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Sciences agricoles, 010606 plant biology & botany, Research Article
Abstract: International audience; Cover crops can produce ecosystem services during the fallow period, as reducing nitrate leaching and producing green manure. Crop growth rate (CGR) and crop nitrogen acquisition rate (CNR) can be used as two indicators of the ability of cover crops to produce these services in agrosystems. We used leaf functional traits to characterise the growth strategies of 36 cover crops as an approach to assess their ability to grow and acquire N rapidly. We measured specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen content(LNC) and leaf area (LA) and we evaluated their relevance to characterise CGR and CNR. Cover crop species were positioned along the Leaf Economics Spectrum (LES), the SLALDMC plane, and the CSR triangle of plant strategies. LA was positively correlated with CGR and CNR, while LDMC was negatively correlated with CNR. All cover crops could be classified as resource-acquisitive species from their relative position on the LES and theSLA-LDMC plane. Most cover crops were located along the Competition/Ruderality axis in the CSR triangle. In particular, Brassicaceae species were classified as very competitive, which was consistent with their high CGR and CNR. Leaf functional traits, especially LA and LDMC, allowed to differentiate some cover crops strategies related to their ability to grow and acquire N. LDMC was lower and LNC was higher in cover crop than in wild species, pointing to an efficient acquisitive syndrome in the former, corresponding to the high resource availability found in agrosystems. Combining several leaf traits explained approximately half of the CGR and CNR variances, which might be considered insufficient to precisely characterise and rank cover crop species for agronomic purposes. We hypothesised that may be the consequence of domestication process, which has reduced the range of plant strategies and modified the leaf trait syndrome in cultivated species.
Published: 2015

28. Ecosystem productivity can be predicted from potential relative growth rate and species abundance

Author: Eric Garnier, Denis Vile, and Bill Shipley
Subjects: 0106 biological sciences, Biomass (ecology), Secondary succession, Ecology, Species diversity, Ecological succession, 15. Life on land, Biology, 010603 evolutionary biology, 01 natural sciences, Productivity (ecology), Relative growth rate, Ecosystem, Relative species abundance, Ecology, Evolution, Behavior and Systematics, 010606 plant biology & botany
Abstract: We show that ecosystem-specific aboveground net primary productivity (SANPP, g g(-1) day(-1), productivity on a per gram basis) can be predicted from species-level measures of potential relative growth rate (RGRmax), but only if RGRmax is weighted according to the species' relative abundance. This is in agreement with Grime's mass-ratio hypothesis. Productivity was measured in 12 sites in a French Mediterranean post-agricultural succession, while RGRmax was measured on 26 of the most abundant species from this successional sere, grown hydroponically. RGRmax was only weakly correlated (r2 = 0.12, P < 0.05) with field age when species abundance was not considered, but the two variables were strongly correlated (r2 = 0.81, P < 0.001) when the relative abundance of species in each field was taken into account. SANPP also decreased significantly with field age. This resulted in a tight relationship (r2 = 0.77, P < 0.001) between productivity and RGRmax weighted according to species relative biomass contribution. Our study shows that scaling-up from the potential properties of individual species is possible, and that information on potential and realized species traits can be integrated to predict ecosystem functioning.
Published: 2006

29. Plant traits and functional types in response to reduced disturbance in a semi‐natural grassland

Author: Frédérique Louault, Valério D. Pillar, Jean-François Soussana, J. Aufrère, Eric Garnier, UR 0874 Unité de recherche Agronomie de Clermont, Institut National de la Recherche Agronomique (INRA)-Environnement et Agronomie (E.A.)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Institut National de la Recherche Agronomique (INRA)-Unité de recherche Agronomie de Clermont (URAC), Universidade Federal do Rio Grande do Sul (UFRGS), Unité de Recherches sur les Herbivores (URH), Institut National de la Recherche Agronomique (INRA), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud])
Subjects: 0106 biological sciences, Specific leaf area, Functional response, LEAF TRAIT, Plant Science, Biology, 010603 evolutionary biology, 01 natural sciences, Grassland, Grazing, Temperate climate, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Dry matter, 2. Zero hunger, geography, GRAZING, geography.geographical_feature_category, Ecology, Phenology, fungi, PLANT ATTRIBUTE, food and beverages, 04 agricultural and veterinary sciences, 15. Life on land, Agronomy, Shoot, EXTENSIFICATION, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, CARACTERISTIQUE
Abstract: International audience; Question: How do functional types respond to contrasting levels of herbage use in temperate and fertile grasslands? Location: Central France (3 degrees 1' E, 45 degrees 43' N), 870 m a.s.l. Methods: Community structure and the traits of dominant plant species were evaluated after 12 years of contrasted grazing and mowing regimes in a grazing trial, comparing three levels of herbage use (high, medium and low). Results and Conclusions: Of 22 measured traits (including leaf traits, shoot morphology and composition, phenology), seven were significantly affected by the herbage use treatment. A decline in herbage use reduced individual leaf mass, specific leaf area and shoot digestibility, but increased leaf C and dry matter contents. Plants were taller, produced larger seeds and flowered later under low than high herbage use. Nine plant functional response types were identified by multivariate optimization analysis; they were based on four optimal traits: leaf dry matter content, individual leaf area, mature plant height and time of flowering. In the high-use plots, two short and early flowering types were co-dominant, one competitive. grazing-tolerant and moderately grazing-avoiding, and one grazing-avoiding but not -tolerant. Low-use plots were dominated by one type, neither hardly grazing-avoiding C 0 nor grazing-tolerant, but strongly competitive for light.
Published: 2005

30. Plant trait-digestibility relationships across management and climate gradients in permanent grasslands

Author: Bertrand Dumont, Pascal Carrère, Grégory Loucougaray, Nicole Yavercovski, Eric Kerneis, Marie-Pascale Colace, Stéphanie Gaucherand, Sandra Lavorel, François Mesléard, Donato Andueza, P. Cruz, Eric Garnier, Michel Duru, Anne Farruggia, Antoine Gardarin, Elena Kazakou, Karl Grigulis, Frédérique Louault, Anne Bonis, Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Ecologie Alpine (LECA), Université Joseph Fourier - Grenoble 1 (UJF)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes montagnards (UR EMGR), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Station alpine Joseph Fourier - UMS 3370 (SAJF), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Centre de recherche de la Tour du Valat, INRA EcoGer project DivHerbe. We thank the staff of the La Fage INRA experimental station and of the INRA-Theix site of the SOERE-ACBB for support to carry out part of the field work. A.G. was funded by a Montpellier SupAgro postdoctoral fellowship., Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Unité de recherche sur l'Ecosystème Prairial, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Domaine expérimental de Saint-Laurent-de-la-Prée (ST LAURENT DE LA PREE), Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ), Centre d’Ecologie Fonctionnelle et Evolutive ( CEFE ), Université Paul-Valéry - Montpellier 3 ( UM3 ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -École pratique des hautes études ( EPHE ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ) -Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Institut National de la Recherche Agronomique ( INRA ), AGrosystèmes et développement terrItoRial ( AGIR ), Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), Ecosystèmes, biodiversité, évolution [Rennes] ( ECOBIO ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -INEE-Observatoire des Sciences de l'Univers de Rennes ( OSUR ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Ecologie Alpine ( LECA ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ), Ecosystèmes montagnards ( UR EMGR ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), UMS3370 Station alpine Joseph Fourier, Centre National de la Recherche Scientifique ( CNRS ), Domaine expérimental de Saint-Laurent-de-la-Prée ( ST LAURENT DE LA PREE ), Institut méditerranéen de biodiversité et d'écologie marine et continentale ( IMBE ), and Centre National de la Recherche Scientifique ( CNRS ) -Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université ( AMU ) -Université d'Avignon et des Pays de Vaucluse ( UAPV )
Subjects: 0106 biological sciences, Biodiversité et Ecologie, community digestibility, matière sèche, drought, 01 natural sciences, disturbance intensity, communauté, Evapotranspiration, potential evapotranspiration, functional traits, dominance hypothesis, sécheresse, 2. Zero hunger, Abiotic component, Ecology, Phenology, food and beverages, 04 agricultural and veterinary sciences, Trait, évapotranspiration potentielle, feuille, digestibilité, perturbation, nitrogen nutrition index, trait fonctionnel, valeur nutritive, Biology, dominance, écosystème, 010603 evolutionary biology, Biodiversity and Ecology, Dominance (ecology), Dry matter, Plant traits, Relative species abundance, leaf dry matter content, nutritional value, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, ecosystem property, Environmental and Society, 15. Life on land, Agronomy, 13. Climate action, 040103 agronomy & agriculture, indice de nutrition azotée, 0401 agriculture, forestry, and fisheries, Environnement et Société, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: [Departement_IRSTEA]Territoires [TR1_IRSTEA]SEDYVIN; International audience; 1. Dry matter digestibility is a critical component of herbage nutritive value, a major service delivered by grasslands. The aim of this study was to test whether the dominance hypothesis applies to assess the impacts of environmental gradients and management regimes on thiscomponent of herbage nutritive value in permanent grasslands. 2. At the plant level, digestibility has been related to a number of functional traits, but whether this can be scaled up to the community level in species-rich grasslands and how such relationships are modulated by environmental conditions and management regimes remainunknown. Our primary objective was to test whether community-weighted means – species trait values weighted by the species abundance – of morphological, phenological and chemical traits could be used to explain variations in digestibility over a large range of climatic contexts,soil resource levels and management regimes. Our second objective was to explain variations in community digestibility within and among nine contrasting sites along large natural and man-induced environmental gradients.3. Over the whole data set, digestibility and most community-weighted means of traits responded to climatic factors and management regimes, but relations were not always significant when each site was considered separately. Community digestibility was significantly related to one or more plant traits within each site and to all of the measured traits when considering all the sites. Leaf dry matter content (LDMC) had the most consistent effects on digestibility, with a strikingly similar negative effect within each site. Potential evapotranspiration was negatively related to digestibility and contributed to explain a large part of the among-site variance. In addition, a low return interval of disturbance and a high disturbance intensity (biomass removal) were both associated with a high digestibility.4. Synthesis and applications. Disturbance regime, plant traits and local climate impacted dry matter digestibility roughly equally in grasslands. The effects of community composition on digestibility and its response to abiotic factors could be successfully captured by community weightedmeans of leaf dry matter content. This functional marker can be used to develop indicators and grassland management rules to support farmers in the refinement of their practices towards specific needs, such as target production outputs.
Published: 2014

31. Are trait-based species rankings consistent across data sets and spatial scales?

Author: Elena Kazakou, Cyrille Violle, Eric Garnier, Denis Vile, Jens Kattge, Catherine Roumet, Marie-Laure Navas, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, 7th European Community Framework Program (DiversiTraits project, no. 221060), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)
Subjects: observation in situ, caractère fonctionnel, Field, Plant Science, Biology, functional ecology, écologie végétale, écologie fonctionnelle, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Inter-specific variability, variabilité interspécifique, Functional ecology, Intra-specific variability, Ecology, Hierarchy (mathematics), Common garden experiment, 15. Life on land, Comparative ecology, Field (geography), Data set, Plant ecology, Functional trait, observations, Ranking, Evolutionary biology, Trait, variabilité intraspécifique, Trait database, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Species ranking, Global biodiversity
Abstract: Questions: One central assumption of trait screening approaches in comparative plant ecology, i.e. simultaneous measurement of traits on a large number of species or populations, is that the species level captures a major part of trait variation. The current development of large databases has led to a new screening approach that relies on the extraction of trait values from databases, rather than on measurement of traits in the field. We tested this assumption with the following questions: (1) is the magnitude of intra-specific variability of co-occurring species lower than inter-specific variability for a given trait, in comparisons at different spatial scales; (2) is species hierarchy based on trait values conserved across different spatial scales and data sets (stable species hierarchy hypothesis); and (3) when we compare different traits, what is the more stable trait that is conserved across different spatial scales and data sets? Methods: We combined approaches commonly used in functional ecology, i.e. experimental data, field observations and extraction of data from a global database, and analysed the magnitude of intra-specific and inter-specific trait variations for a large number of traits across contrasting environmental conditions for 18-39 (mostly) herbaceous species, according to the data set used. Results: For most traits, inter-specific variability was higher than intra-specific variability, and species ranking was conserved across different data sets and spatial scales. However, we also detected important differential responses in terms of intra-specific trait variability, depending on the trait examined: SLA, LDMC, SM, seed N concentration and onset of flowering were more stable, whereas leaf chemical traits and RH were more flexible traits. Conclusions: Our study validated, for the species studied, the stable species hierarchy hypothesis in the case of several, but not all, widely used traits. The main conclusion is that the strength of the species signal is strong enough for some traits to allow values to be used from different data sets (experiments, databases) to characterize local populations of species: for SM, seed N concentration, RH, SLA and LDMC.
Published: 2014

32. A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services

Author: Isabelle Mougenot, Ulrike Stahl, Lutz Maicher, Marie-Angélique Laporte, Eric Garnier, Jens Kattge, Bioversity International [Montpellier], Bioversity International [Rome], Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), UMR 228 Espace-Dev, Espace pour le développement, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Bioversity International, Consultative Group on International Agricultural Research [CGIAR], Université des Antilles (UA)-Université de Guyane (UG)-Université de Montpellier (UM)-Université de La Réunion (UR)-Avignon Université (AU)-Université de Perpignan Via Domitia (UPVD)-Institut de Recherche pour le Développement (IRD), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Friedrich-Schiller-Universität Jena, and Mougenot, Isabelle
Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 0106 biological sciences, [INFO.INFO-WB] Computer Science [cs]/Web, Computer science, Context (language use), 02 engineering and technology, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 020204 information systems, Controlled vocabulary, 0202 electrical engineering, electronic engineering, information engineering, Semantic Web, ComputingMilieux_MISCELLANEOUS, Thesaurus (information retrieval), [INFO.INFO-WB]Computer Science [cs]/Web, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design/H.2.1.0: Data models, Data discovery, computer.file_format, Linked data, 15. Life on land, Data science, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Simple Knowledge Organization System, Faceted search, Data mining, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer
Abstract: To address biodiversity issues in ecology and to assess the consequences of ecosystem changes, large quantities of long-term observational data from multiple datasets need to be integrated and characterized in a unified way. Linked open data initiatives in ecology aim at promoting and sharing such observational data at the web-scale. Here we present a web infrastructure, named Thesauform, that fully exploits the key principles of the semantic web and associated key data standards in order to guide the scientific community of experts to collectively construct, manage, visualize and query a SKOS thesaurus. The study of a thesaurus dedicated to plant functional traits demonstrates the potential of this approach. A point of great interest is to provide each expert with the opportunity to generate new knowledge and to draw novel plausible conclusions from linked data sources. Consequently, it is required to consider both the scientific topic and the objects of interest for a community of expertise. The goal is to enable users to deal with a small number of familiar and conceptual dimensions, or in other terms, facets. In this regard, a faceted search system, based on SKOS collections and enabling thesaurus browsing according to each end-users requirements is expected to greatly enhance data discovery in the context of biodiversity studies.
Published: 2014

33. Combined effects of climate, resource availability, and plant traits on biomass produced in a Mediterranean rangeland

Author: Didier Foulquié, Simon Chollet, Daniel Hubert, Adeline Fayolle, Serge Rambal, Eric Garnier, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Elevage des ruminants en régions chaudes (UMR ERRC), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), Domaine expérimental de La Fage (LA FAGE), Institut National de la Recherche Agronomique (INRA), and EcoGer project DivHerbe (Structure, diversite et fonctionnement: des cles multi-echelles pour la gestion des prairies permanentes)
Subjects: Mediterranean climate, climate variability, Time Factors, Climate, Plant Development, ECOSYSTEM SERVICES, DETERMINANTS, FUNCTIONAL DIVERSITY, GRASSLAND PRODUCTIVITY, WORLDWIDE, Grazing, FERTILIZATION, Dominance (ecology), nutrient and water availability, grazing, Biomass, dominance hypothesis, Ecology, Evolution, Behavior and Systematics, Ecosystem, 2. Zero hunger, Abiotic component, Herbivore, Biotic component, response and effect framework, interannual variation, Ecology, Mediterranean Region, forage production, food and beverages, functional complementarity, Plant community, 15. Life on land, Plants, VARIABILITY, Agronomy, 13. Climate action, functional structure of communities, Environmental science, France, VEGETATION, Rangeland, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, COMMUNITIES, ABOVEGROUND BIOMASS
Abstract: International audience; Biomass production in grasslands, a key component of food provision for domestic herbivores, is known to depend on climate, resource availability, and on the functional characteristics of communities. However, the combined effects of these different factors remain largely unknown. The aim of the present study was to unravel the causes of variations in the standing biomass of plant communities using a long-term experiment conducted in a Mediterranean rangeland of Southern France. Two management regimes, sheep grazing and grazing associated with mineral fertilization, were applied to different areas of the study site over the past 25 years. Abiotic (temperature, available water, nutrients) and biotic (components of the functional structure communities) factors were considered to explain interannual and spatial variations in standing biomass in these rangelands. Standing biomass was highly predictable, with the best model explaining approximate to 80% of variations in the amount of biomass produced, but the variation explained by abiotic and biotic factors was dependent on the season and on the management regime. Abiotic factors were found to have comparable effects in both management regimes: The amount of biomass produced in the spring was limited by cold temperatures, while it was limited by water availability and high temperatures in the summer. In the fertilized community, the progressive change in the functional structure of the communities had significant effects on the amount of biomass produced: the dominance of few productive species which were functionally close led to higher peak standing biomass in spring.
Published: 2014

34. From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity

Author: Denis Vile, Eric Garnier, Bill Shipley, Université de Sherbrooke (UdeS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud])
Subjects: 0106 biological sciences, Secondary succession, Chronosequence, Population Dynamics, Population, Biodiversity, Plant Development, Environment, Biology, Models, Biological, 010603 evolutionary biology, 01 natural sciences, Abundance (ecology), Biomass, Selection, Genetic, education, Relative species abundance, Ecosystem, Plant Physiological Phenomena, Population Density, education.field_of_study, Models, Statistical, Multidisciplinary, Ecology, 010604 marine biology & hydrobiology, Plant community, Plants, 15. Life on land, Plant cover, France, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Mathematics
Abstract: We developed a quantitative method, analogous to those used in statistical mechanics, to predict how biodiversity will vary across environments, which plant species from a species pool will be found in which relative abundances in a given environment, and which plant traits determine community assembly. This provides a scaling from plant traits to ecological communities while bypassing the complications of population dynamics. Our method treats community development as a sorting process involving species that are ecologically equivalent except with respect to particular functional traits, which leads to a constrained random assembly of species; the relative abundance of each species adheres to a general exponential distribution as a function of its traits. Using data for eight functional traits of 30 herbaceous species and community-aggregated values of these traits in 12 sites along a 42-year chronosequence of secondary succession, we predicted 94% of the variance in the relative abundances.
Published: 2006

35. An evolutionary perspective on leaf economics: phylogenetics of leaf mass per area in vascular plants

Author: Fernanda Vendramini, Sandra Lavorel, Peter B. Reich, Carly Golodets, Jiri Dolezal, Robin J. Pakeman, Maud Bernard-Verdier, Eric Garnier, Guillaume Cornu, Renée M. Bekker, Olivier Flores, Adeline Fayolle, Jan P. Bakker, Graciela M. Rusch, Vasilios P. Papanastasis, Pablo Cruz, Dieter Kunzmann, Michael Kleyer, Helena Freitas, Bruno Enrico Leone Cerabolini, Matthieu Delcamp, John G. Hodgson, Baptiste Testi, Natalia Pérez-Harguindeguy, Sandra Díaz, Ove Eriksson, Guido Brusa, R. M. Ceriani, Evan Weiher, Simon Pierce, Sylvie Gourlet-Fleury, Ian J. Wright, Université de La Réunion (UR), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Department of Biological Sciences, Macquarie University, Hawkesbury Institute for the Environment, Western Sydney University, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Università degli Studi di Milano = University of Milan (UNIMI), Universidad de Córdoba = University of Córdoba [Córdoba], The James Hutton Institute, Norwegian Institute for Nature Research (NINA), University of Groningen, Centro Flora Autoctona, Partenaires INRAE, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institute of Botany, Czech Academy of Sciences [Prague] (CAS), Department of Botany, Stockholm University, Universidade de Coimbra, Tel Aviv University (TAU), University of Sheffield, Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), Landscape Ecology Group, University of Oldenburg, Landscape Ecology and Consulting, Université Joseph Fourier - Grenoble 1 (UJF), Laboratory of Rangeland Ecology, Aristotle University of Thessaloniki, University of Wisconsin-Madison, ANR project A-BI-ME (Activites humaines, dynamique et gestion de la BIodiversite en milieu MEditerraneen) [ANR-05-BDIV-014], Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Università degli Studi di Milano [Milano] (UNIMI), Universidad Nacional de Cordoba, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Tel Aviv University [Tel Aviv], and Università degli Studi dell' Insubria
Subjects: 0106 biological sciences, Phylogénie, Fonction physiologique, Biodiversité et Ecologie, Ornstein-Uhlenbeck model, F62 - Physiologie végétale - Croissance et développement, Évolution, 01 natural sciences, F30 - Génétique et amélioration des plantes, purl.org/becyt/ford/1 [https], Stabilizing selection, Original Research, Brownian model, functional trait, phenotypic evolution, 2. Zero hunger, Ecology, Phylogenetic tree, biology, U10 - Informatique, mathématiques et statistiques, BROWNIAN MODEL, FLOWERING PLANTS, Indice de surface foliaire, Feuille, food and beverages, Ornstein–Uhlenbeck model, Surface, phénotype, SEED SIZE, Functional trait, Phenotypic evolution, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Trait, Plante, masse foliaire, DIVERSIFICATION, Modèle mathématique, CIENCIAS NATURALES Y EXACTAS, TRAITS, Développement biologique, Woody plant, Vascular plant, Evolution, trait fonctionnel, FUNCTIONAL TRAIT, 010603 evolutionary biology, CLASSIFICATION, Biodiversity and Ecology, Ciencias Biológicas, Behavior and Systematics, Molecular evolution, Phylogenetics, RATES, purl.org/becyt/ford/1.6 [https], SEQUENCES, fungi, ANGIOSPERMS, 15. Life on land, Herbaceous plant, Ecología, biology.organism_classification, PHENOTYPIC EVOLUTION, MOLECULAR EVOLUTION, PATTERNS, ORNSTEIN UHLENBECK MODEL, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: In plant leaves, resource use follows a trade-off between rapid resource capture and conservative storage. This “worldwide leaf economics spectrum” consists of a suite of intercorrelated leaf traits, among which leaf mass per area, LMA, is one of the most fundamental as it indicates the cost of leaf construction and light-interception borne by plants. We conducted a broad-scale analysis of the evolutionary history of LMA across a large dataset of 5401 vascular plant species. The phylogenetic signal in LMA displayed low but significant conservatism, that is, leaf economics tended to be more similar among close relatives than expected by chance alone. Models of trait evolution indicated that LMA evolved under weak stabilizing selection. Moreover, results suggest that different optimal phenotypes evolved among large clades within which extremes tended to be selected against. Conservatism in LMA was strongly related to growth form, as were selection intensity and phenotypic evolutionary rates: woody plants showed higher conservatism in relation to stronger stabilizing selection and lower evolutionary rates compared to herbaceous taxa. The evolutionary history of LMA thus paints different evolutionary trajectories of vascular plant species across clades, revealing the coordination of leaf trait evolution with growth forms in response to varying selection regimes. Fil: Flores, Olivier. Centre d’Ecologie Fonctionnelle et Evolutive; Francia. Université de la Réunion; Francia Fil: Garnier, Eric. Centre d’Ecologie Fonctionnelle et Evolutive; Francia Fil: Wright, Ian J.. Macquarie University. Department of Biological Sciences; Australia Fil: Reich, Peter B.. University of Minnesota. Department of Forest Resources and Institute on the Environment; Estados Unidos. University of Western Sydney. Hawkesbury Institute for the Environment; Australia Fil: Pierce, Simon. University of Milan. Department of Plant Production; Italia Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Pakeman, Robin J... James Hutton Institute; Reino Unido Fil: Rusch, Graciela M.. Norwegian Institute for Nature Research; Noruega Fil: Bernard Verdier, Maud. Centre d’Ecologie Fonctionnelle et Evolutive; Francia Fil: Testi, Baptiste. Centre d’Ecologie Fonctionnelle et Evolutive; Francia Fil: Bakker, Jan P.. Community and Conservation Ecology Group; Países Bajos Fil: Bekker, Renee M.. Community and Conservation Ecology Group; Países Bajos Fil: Cerabolini, Bruno. Universita degli Studi dell’Insubria; Italia Fil: Ceriani, Roberta. Centro Flora Autoctona; Italia Fil: Cornu, Guillaume. Department Environment and Societies Research Unit Forests and Societies; Francia Fil: Cruz, Pablo. Institut National de la Recherche Agronomique; Francia Fil: Delcamp, Matthieu. Department Environment and Societies Research Unit Forests and Societies; Francia Fil: Dolezal, Jiri. Academy of Sciences of the Czech Republic. Institute of Botany; República Checa Fil: Eriksson, Ove. Stockholm University. Department of Botany; Suecia Fil: Fayolle, Adeline. Department Environment and Societies Research Unit Forests and Societies; Francia Fil: Freitas, Helena. University of Coimbra. Centre for Functional Ecology; Portugal Fil: Golodets, Carly. Faculty of Life Sciences. Department of Molecular Biology and Ecology of Plants; Israel Fil: Gourlet Fleury, Sylvie. Department Environment and Societies Research Unit Forests and Societies; Francia Fil: Hodgson, John. The University. Department of Archaeology; Reino Unido Fil: Brusa, Guido. Universitá degli Studi dell’Insubria; Italia Fil: Kleyer, Michael. Carl von Ossietzky University of Oldenburg. Landscape Ecology Group; Alemania Fil: Kunzmann, Dieter. Carl von Ossietzky University of Oldenburg. Landscape Ecology Group; Alemania Fil: Lavorel, Sandra. Universite Joseph Fourier. Laboratoire d’Ecologie Alpine and Station Alpine Joseph Fourier; Francia Fil: Papanastasis, Vasilios. Aristotle University of Thessaloniki. Laboratory of Rangeland Ecology; Grecia Fil: Perez Harguindeguy, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Vendramini, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Weiher, Evan. University of Wisconsin Eau Claire. Department of Biology; Estados Unidos
Published: 2013

36. Partitioning phylogenetic and functional diversity into alpha and beta components along an environmental gradient in a Mediterranean rangeland

Author: Eric Garnier, Maud Bernard-Verdier, Marie-Laure Navas, Olivier Flores, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), ANR-09-STRA-0009,O2LA,Organismes et Organisations Localement Adaptés(2009), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), and Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de La Réunion (UR)-Institut National de la Recherche Agronomique (INRA)
Subjects: 0106 biological sciences, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Ecology, Phylogenetic tree, [SDE.MCG]Environmental Sciences/Global Changes, Niche, Plant community, Plant Science, 15. Life on land, Biology, 010603 evolutionary biology, 01 natural sciences, [SDE.ES]Environmental Sciences/Environmental and Society, Habitat, Species evenness, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Functional divergence, ComputingMilieux_MISCELLANEOUS, 010606 plant biology & botany, Environmental gradient
Abstract: Questions To what extent is the functional structure of plant communities captured by phylogenetic structure? Are some functional dimensions better represented by phylogenetic relationships? In an empirical study, we propose to test the congruence between phylogenetic and functional structure at the alpha and the beta scale along an environmental gradient. Location Causse du Larzac, southern France. Methods We measured species abundances and eight key functional traits in 12 plant communities distributed along a gradient of soil depth and resource availability in a Mediterranean rangeland. A phylogenetic super-tree of the species was assembled, and after quantifying the degree of phylogenetic signal present in each trait, we quantified taxonomic (TD), phylogenetic (PD) and functional (FD) diversity both within (alpha scale) and among (beta scale) communities, taking species abundances into account. We tested for trends in diversity along the environmental gradient, and looked for congruence among different facets of diversity, both at the alpha and the beta scale. Results We found a significant phylogenetic signal for seven out of eight traits. However, when accounting for trends in taxonomic diversity (i.e. richness and evenness), PD did not capture the strong functional structure observed within and among the communities. At the alpha scale, we found an overall pattern of phylogenetic convergence of abundant species, which did not reflect the observed functional divergence. At the beta scale, despite some congruence between betaPD and betaFD for three individual traits, phylogenetic dissimilarities did not capture the overall environmental and functional sorting of species according to habitats. Conclusions We show that even when traits display a significant phylogenetic signal, PD does not capture the complex functional structure of communities in response to environmental gradients. Nevertheless, results suggest that phylogenetic relationships may partially capture differences in the beta niche of species and provide additional insights on assembly processes not captured by the set of measured functional traits. Only by accounting for patterns in taxonomic diversity were we able to disentangle the functional and evolutionary determinants of species assembly along the gradient.
Published: 2013

37. A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review

Author: Marie-Laure Navas and Eric Garnier
Subjects: 2. Zero hunger, 0106 biological sciences, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Biomass (ecology), Functional ecology, Environmental Engineering, Community, business.industry, Environmental resource management, Biodiversity, 15. Life on land, Biology, 010603 evolutionary biology, 01 natural sciences, Limiting similarity, Ecoinformatics, Abundance (ecology), Trait, business, Agronomy and Crop Science, ComputingMilieux_MISCELLANEOUS, 010606 plant biology & botany
Abstract: Comparative functional ecology seeks to understand why and how ecological systems and their components operate differently across environments. Although traditionally used in (semi)-natural situations, its concepts and methods could certainly apply to address key issues in the large variety of agricultural systems encountered across the world. In this review, we present major advances in comparative plant functional ecology that were made possible over the last two decades by the rapid development of a trait-based approach to plant functioning and prospects to apply it in agricultural situations. The strength of this approach is that it enables us to assess the interactions between organisms and their environment simultaneously on a large number of species, a prerequisite to address questions relative to species distribution, community assembly and ecosystem functioning. The trait concept will be first defined, before presenting a conceptual framework to understand the effects of environmental factors on plant community structure and ecosystem properties via plant traits. We will then argue that leading dimensions of variation among species can be captured by some selected traits and show that a combination of three easily measured traits—specific leaf area (the ratio of leaf area to leaf dry mass), plant height and seed mass—enables us to assess how different species use their resources, interact with neighbours and disperse in time and space. The use of traits to address central questions in community ecology will be reviewed next. It will be shown that traits allow us to (1) understand how plant species are sorted according to the nature of environmental gradients, (2) evaluate the relative importance of habitat filtering and limiting similarity in the process of community assembly and (3) quantify two main components of community functional structure, namely, community-weighted means of traits and community functional divergence. The relative impacts of these two components on ecosystem properties will then be discussed in the case of several components of primary productivity, litter decomposition, soil water content and carbon sequestration. There is strong support for the biomass ratio hypothesis, which states that the extent to which the traits of a species affect those ecosystem properties depends on the abundance of this species in the community. Assessing the role of functional divergence among species on ecosystem properties will require major methodological breakthroughs, both in terms of metrics and statistical procedures to be used. In agricultural situations, we show that trait-based approaches have been successfully developed to assess the impacts of management practices on (1) the agronomic value of grasslands and (2) the functional composition and structure of crop weed communities and how these could affect the functioning of the crop. Applications in forestry are still poorly developed, especially in temperate regions where the number of species in managed forest remains relatively low. The last decades of research have led to the constitution of large data sets of plant traits, which remain poorly compatible and accessible. Recent advances in the field of ecoinformatics suggest that major progress could be achieved in this area by using improved metadata standards and advancing trait domain ontologies. Finally, concluding remarks, unanswered questions and directions for research using the functional approach to biodiversity made possible by the use of traits will be discussed in the contexts of ecological and agronomical systems. The latter indeed cover a wide range of environmental conditions and biological diversity, and the prospect for reducing environmental impacts in highly productive, low-diversity systems will certainly imply improving our skills for the management of more diverse systems prone to a trait-based approach as reviewed here.
Published: 2012

38. Evidence for a 'plant community economics spectrum' driven by nutrient and water limitations in a Mediterranean rangeland of southern France

Author: Paul Autran, Eric Garnier, Pablo Cruz, Ignacio Manuel Pérez-Ramos, Alain Blanchard, Catherine Roumet, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Domaine expérimental de La Fage (LA FAGE), Institut National de la Recherche Agronomique (INRA), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut de Recherche pour le Développement (IRD [France-Sud])
Subjects: 0106 biological sciences, Mediterranean climate, Plant–soil (below-ground) interactions, environmental gradient, [SDV]Life Sciences [q-bio], interaction, Plant Science, Biology, functional strategie, 010603 evolutionary biology, 01 natural sciences, Intraspecific competition, [SHS]Humanities and Social Sciences, Nutrient, root trait, Ecology, Evolution, Behavior and Systematics, specie turnover, 2. Zero hunger, leaf trait, Ecology, Species turnover, Intraspecific variability, Community structure, Environmental gradients, Plant community, acquisition-conservation trade off, intra-specific variability, Functional strategies, Root traits, 15. Life on land, Acquisition-conservation trade-off, Habitat, below-ground, Leaf traits, Soil water, [SDE]Environmental Sciences, plant-soil, Rangeland, 010606 plant biology & botany
Abstract: 13 pages, 3 figures, 4 tables, 81 references., 1. Plant species composition and community functional structure (i.e. trait composition at the community level) result from a hierarchy of environmental ﬁlters that constrain which species and traits tend to be dominant in a given habitat. 2. We quantiﬁed variation in community functional structure along natural gradients of soil resources using several above- and below-ground parameters and explored links among these attributes to determine whether plant resource economics can be applied at the community level in a Mediterranean rangeland of southern France. 3. Limitation by nitrogen, soil water and soil depth were the main ecological factors driving the functional response at the community level. Most of the community functional parameters considered in this study were more dependent on nitrogen limitation than on the other two factors, mostly related with the acquisition–conservation trade-off at both the leaf and the root level. 4. We found a strong coordination between above-ground and below-ground components, with a high level of concordance along the resource gradients explored. As an example, tissue dry matter content – both in leaves and roots – was positively related to nitrogen limitation. These ﬁndings indicate that the leaf economic spectrum paradigm (resource conservation in resource-poor habitats versus resource acquisition in resource-rich habitats) can be extrapolated to the below-ground component and extends to a plant community spectrum. 5. Changes in the functional structure of communities were promoted by two complementary components of variation: (i) the replacement of species with highly contrasting resource-use strategies and, to a lesser extent, (ii) the intraspeciﬁc variation in several above-ground traits. 6. Synthesis. This study showed that soil water and nutrient limitations are the main drivers controlling functional community structure in the Mediterranean rangelands studied and that shifts in this structure were mainly due to species turnover. In addition, we provided evidence for a plant community economics spectrum, based on a strong coordination between above- and below-ground components in these resource-limited communities., This study was supported by a postdoctoral MEC contract to I. M.P.R. and by the DIVHERBE project (French National Programme ECOGER). This is a paper from GDR 2574 (‘TRAITS’) of CNRS.
Published: 2012

39. Leaf traits capture the effects of land use changes and climate on litter decomposability of grasslands across Europe

Author: Helena Freitas, Claire Fortunel, Vasilios P. Papanastasis, Aurélie Thébault, Matt Robson, Karl Grigulis, Veiko Lehsten, Richard Joffre, Fabien Quétier, Elena Kazakou, Pablo Cruz, Jaime Kigel, J. P. Theau, Jiří Doležal, Helen M. Quested, Tonia Meier, Maria P. Zarovali, Helena Castro, Ove Eriksson, Maria Papadimitriou, Michael Kleyer, Jan Lepš, Robin J. Pakeman, Carly Golodets, Sandra Lavorel, P. Ansquer, Marcelo Sternberg, Eric Garnier, Claire Jouany, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Department of Botany, Stockholm University, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Coimbra [Portugal] (UC), Botany Department, University of South Bohemia, Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem (HUJ), Landscape Ecology Group, University of Oldenburg, Macaulay Institute, Laboratory of Rangeland Ecology, Aristotle University of Thessaloniki, Department of Plant Sciences, Tel Aviv University [Tel Aviv], Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP)
Subjects: 0106 biological sciences, Litter (animal), leaf traits, Nutrient cycle, Time Factors, Nitrogen, [SDE.MCG]Environmental Sciences/Global Changes, community functional parameters, substrate, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, Poaceae, functional types, Lignin, 010603 evolutionary biology, 01 natural sciences, Infrared reflectance spectroscopy, Nutrient, Species Specificity, Ecosystem, Israel, old-field succession, Nitrogen cycle, climate, organic-matter, Ecology, Evolution, Behavior and Systematics, reproductive and urinary physiology, 2. Zero hunger, disturbance, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Ecology, microcosm experiment, Plant community, decomposition rate, central argentina, 15. Life on land, Plant litter, litter decomposability, Europe, Plant Leaves, Plant ecology, 13. Climate action, plant traits, quality, wide-range, litter quality, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: International audience; Land use and climate changes induce shifts in plant functional diversity and community structure, thereby modifying ecosystem processes. This is particularly true for litter decomposition, an essential process in the biogeochemical cycles of carbon and nutrients. In this study, we asked whether changes in functional traits of living leaves in response to changes in land use and climate were related to rates of litter potential decomposition, hereafter denoted litter decomposability, across a range of 10 contrasting sites. To disentangle the different control factors on litter decomposition, we conducted a microcosm experiment to determine the decomposability under standard conditions of litters collected in herbaceous communities from Europe and Israel. We tested how environmental factors ( disturbance and climate) affected functional traits of living leaves and how these traits then modified litter quality and subsequent litter decomposability. Litter decomposability appeared proximately linked to initial litter quality, with particularly clear negative correlations with lignin-dependent indices ( litter lignin concentration, lignin : nitrogen ratio, and fiber component). Litter quality was directly related to community-weighted mean traits. Lignin-dependent indices of litter quality were positively correlated with community-weighted mean leaf dry matter content (LDMC), and negatively correlated with community-weighted mean leaf nitrogen concentration (LNC). Consequently, litter decomposability was correlated negatively with community-weighted mean LDMC, and positively with community-weighted mean LNC. Environmental factors ( disturbance and climate) influenced community-weighted mean traits. Plant communities experiencing less frequent or less intense disturbance exhibited higher community-weighted mean LDMC, and therefore higher litter lignin content and slower litter decomposability. LDMC therefore appears as a powerful marker of both changes in land use and of the pace of nutrient cycling across 10 contrasting sites.
Published: 2009

40. Relative climatic, edaphic and management controls of plant functional trait signatures

Author: Robin J. Pakeman, Jan Lepš, Sandra Lavorel, Eric Garnier, Michael Kleyer, Macaulay Institute, Faculty of Biological Sciences, University of South Bohemia, Institute of Entomology, University of South Bohemia -Czech Academy of Sciences [Prague] (ASCR), Landscape Ecology Group, University of Oldenburg, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Czech Academy of Sciences [Prague] (CAS)-University of South Bohemia, Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3)
Subjects: 0106 biological sciences, Environment-trait relationships, Seed dispersal, [SDE.MCG]Environmental Sciences/Global Changes, Land-use change, Plant Science, Variance, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, 010603 evolutionary biology, 01 natural sciences, soil, Abundance (ecology), partitioning, seed size, nitrogen mineralization, disturbance, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, abundance, Ecology, Edaphic, Vegetation, 15. Life on land, Explained variation, succession, communities, gradient, Agronomy, Trait, Biological dispersal, grassland, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Weighted arithmetic mean, 010606 plant biology & botany
Abstract: International audience; To identify the relative roles of climatic, edaphic and management factors in controlling the weighted mean traits of vegetation. Eleven sites in Europe and one in Israel undergoing transitions in land use. Standardised methods were used to collect information on species traits and attributes from plots covering a range of land uses at each site. This was combined with abundance data to create a plot x trait matrix. Variance partitioning was used to identify the relative roles of climate, soil and management on the weighted and unweighted mean traits of the vegetation in the full data set, and the data set divided into vegetative traits (including life-form, clonality, defence and a range of leaf traits) and traits linked to regeneration via seeds (including seed mass, dispersal and pollination mechanism). Variance partitioning of the full data set showed that climate (18.7%), explained more variance in the weighted mean traits of the vegetation than climate and soil together (9.2), soil (6.9) and management (6.1). There was a similar distribution of variance explained for both vegetative and regeneration via seed traits, although more variance was explained for the latter. This restricted set of climatic, edaphic and management variables could explain 45-50% of the variance in the weighted mean traits of the vegetation between plots. There were only small differences between analyses of the weighted and unweighted data. Despite large variations in climate and soils between sites, there was still a separate and recognisable impact of management on the mean weighted traits of the vegetation. There was also a degree of shared variation between the three groups of factors, indicating that the response of plant traits to one group of factors may not be predictable because they may be modulated by their response to other groups.
Published: 2009

41. Competition, traits and resource depletion in plant communities

Author: Jérémie Lecoeur, Cécile Podeur, Eric Garnier, Catherine Roumet, Cyrille Violle, Alain Blanchard, Marie-Laure Navas, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: 0106 biological sciences, Specific leaf area, media_common.quotation_subject, Plant Development, Growing season, Biology, Models, Biological, 010603 evolutionary biology, 01 natural sciences, Competition (biology), Species Specificity, COMPETITIVE RESPONSE, Ecosystem, Ecology, Evolution, Behavior and Systematics, media_common, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Analysis of Variance, Ecology, PLANT FUNCTIONAL TRAIT, Water, food and beverages, Plant community, Plants, 15. Life on land, Resource depletion, Plant Leaves, Plant ecology, RESOURCE COMPETITION, Agronomy, COMPETITIVE EFFECT, Sunlight, Plant cover, PHYTOMETER, France, Monoculture, ECOLOGIE, 010606 plant biology & botany
Abstract: International audience; Although of primary importance to explain plant community structure, general relationships between plant traits, resource depletion and competitive outcomes remain to be quantified across species. Here, we used a comparative approach to test whether instantaneous measurements of plant traits can capture both the amount of resources depleted under plant cover over time (competitive effect) and the way competitors perceived this resource depletion (competitive response). We performed a large competition experiment in which phytometers from a single grass species were transplanted within 18 different monocultures grown in a common-garden experiment, with a time-integrative quantification of light and water depletion over the phytometers' growing season. Resource-capturing traits were measured on both phytometers (competitive response traits) and monocultures (competitive effect traits). The total amounts of depleted light and water availabilities over the season strongly differed among monocultures; they were best estimated by instantaneous measurements of height and rooting depth, respectively, performed when either light or water became limiting. Specific leaf area and leaf water potential, two competitive response traits measured at the leaf level, were good predictors of changes in phytometer performance under competition, and reflected the amount of light and water, respectively, perceived by plants throughout their lifespan. Our results demonstrated the relevance of instantaneous measures of plant traits as indicators of resource depletion over time, validating the trait-based approach for competition ecology.
Published: 2009

42. Impact of abundance weighting on the response of seed traits to climate and land use

Author: Jiri Doležal, Vasilios P. Papanastasis, Graciela M. Rusch, Ove Eriksson, Robin J. Pakeman, Eric Garnier, Sandra Lavorel, Michael Kleyer, Helena Freitas, Tonia Meier, Maria Papadimitriou, P. Ansquer, Pablo Cruz, Jaime Kigel, Helen M. Quested, J. P. Theau, Denis Vile, Marcelo Sternberg, Jan Lepš, Carly Golodets, Helena Castro, Aurélie Thébault, Fabien Quétier, Macaulay Institute, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Station alpine Joseph Fourier - UMS 3370 (SAJF), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre for Functional Ecology, University of Coimbra [Portugal] (UC), Faculty of Biological Sciences, University of South Bohemia, Institute of Botany, Section of Plant Ecology, Czech Academy of Sciences [Prague] (ASCR), Department of Botany, Stockholm University, Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem (HUJ), Landscape Ecology Group, University of Oldenburg, Institute of Entomology, University of South Bohemia -Czech Academy of Sciences [Prague] (ASCR), Laboratory of Rangeland Ecology, Aristotle University of Thessaloniki, Norwegian Institute for Nature Research (NINA), Department of Plant Sciences, Tel Aviv University [Tel Aviv], Laboratory of Ecological Systems, Ecole Polytechnique Fédérale de Lausanne (EPFL), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Czech Academy of Sciences [Prague] (CAS), University of South Bohemia -Czech Academy of Sciences [Prague] (CAS), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)
Subjects: 0106 biological sciences, species-environment relationships, Range (biology), weighted abundance, growth, species–environment relationships, extensification, Plant Science, arid australia, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, 010603 evolutionary biology, 01 natural sciences, size, soil, traits, Abundance (ecology), establishment, Dominance (ecology), Relative species abundance, Ecology, Evolution, Behavior and Systematics, agricultural abandonment, seed dispersal agent, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, plant functional traits, Ecology, Dispersal spectra, Plant community, Vegetation, 15. Life on land, seed mass, functional, Habitat, evolutionary ecology, plant-communities, Biological dispersal, mass, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: International audience; 1. Many studies have identified relationships between plant reproductive behaviour and environmental conditions. However, they have all been based on cross-species analysis and take no account of the relative abundance of species with vegetation. 2. Using two reproductive traits - seed mass and dispersal vector - as examples, a range of previously identified relationships were tested using both unweighted and weighted-by-abundance data collected from land-use transitions at 12 sites across Europe. 3. Seed mass was correlated positively with most measures of temperature (stronger relationships for unweighted data) and declined against measures of disturbance (stronger relationships with weighted data). It was not related consistently to measures of water availability. 4. There was some evidence that endozoochory was associated with damper environments, hoarding with drier ones and exozoochory with more fertile habitats. 5. Weighting reduced the slope of relationships between seed mass and environmental variables, possibly indicating that dominance within vegetation is determined by land use after the operation of a climatic filter. Fewer significant relationships were detected for weighted dispersal mechanisms compared to unweighted ones, indicating less difference of the dominants from other species with regard to this trait. 6. Synthesis. This analysis shows that weighting by abundance in the vegetation (compared to unweighted analysis) has a significant impact on the relationships between key species traits and a range of environmental parameters related to climate and land use, and that this impact was not consistent in its effects.
Published: 2008

43. Relating root structure and anatomy to whole-plant functioning in 14 herbaceous Mediterranean species

Author: Eric Garnier, Irène Hummel, Jeremy Devaux, Denis Vile, Benoît Ricci, Cyrille Violle, Alain Blanchard, Catherine Roumet, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), and Institut National de la Recherche Agronomique (INRA)
Subjects: 0106 biological sciences, Mediterranean climate, Perennial plant, Physiology, Plant Science, Ecological succession, Root system, Biology, 010603 evolutionary biology, 01 natural sciences, Plant Roots, Magnoliopsida, Species Specificity, PLANT HEIGHT, Relative growth rate, Botany, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, 2. Zero hunger, RELATIVE GROWTH RATE, XYLEM CROSS-SECTIONAL AREA (CSA), Mediterranean Region, Xylem, Anatomy, Interspecific competition, 15. Life on land, Herbaceous plant, TISSUE MASS DENSITY, ROOT ANATOMY, 010606 plant biology & botany
Abstract: International audience; This study investigated the relationships between root structure and anatomy and whole-plant functioning in herbaceous species. Fourteen annual and perennial species representative of a Mediterranean old-field succession were grown in monocultures in a common-garden experiment. Whole-plant functioning was assessed by inherent relative growth rate (RGR max), measured in standardized conditions, and maximum height ( Hmax). Root tissue density (TMD r), considered as a major component of root structure, was measured on roots harvested within in-growth cores. Anatomical characteristics were analysed on cross-sectional areas (CSA). TMD r was correlated positively with Hmax and negatively with RGR max. Root CSA explained interspecific variation in Hmax but not that in TMD r and RGR max. Root xylem CSA and xylem proportion in root CSA were positively correlated with TMD r and Hmax and negatively with RGR max. Mean xylem vessel CSA did not account for variations in TMD r , Hmax and RGR max. These results suggested that RGR max and Hmax are constrained by opposite root structural and anatomical traits, which have potential links with hydraulic conductance, support and longevity.
Published: 2007

44. Assessing the Effects of Land-use Change on Plant Traits, Communities and Ecosystem Functioning in Grasslands: A Standardized Methodology and Lessons from an Application to 11 European Sites

Author: Helena Castro, Veiko Lehsten, Elena Kazakou, Denis Vile, Sandra Lavorel, Karl Grigulis, Matt Robson, Helène Quested, J. P. Theau, Tonia Meier, Vasilios P. Papanastasis, Helena Freitas, Christina Skarpe, Ove Eriksson, Claire Fortunel, Jaime Kigel, Fabien Quétier, Maria Papadimitriou, Michael Kleyer, Jiri Dolezal, Maria P. Zarovali, Marcelo Sternberg, Aurélie Thébault, Robin J. Pakeman, Eric Garnier, Graciela M. Rusch, Claire Jouany, P. Ansquer, Jan Lepš, Catherine Roumet, Carly Golodets, Pablo Cruz, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Department of Botany, University of Coimbra [Portugal] (UC), Botany Department, University of South Bohemia, Stockholm University, Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem (HUJ), Landscape Ecology Group, University of Oldenburg, Macaulay Institute, Laboratory of Rangeland Ecology, Aristotle University of Thessaloniki, Norwegian Institute for Nature Research (NINA), Department of Plant Sciences, Tel Aviv University [Tel Aviv], Département de Biologie, Université de Sherbrooke [Sherbrooke], Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), and Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)
Subjects: 0106 biological sciences, leaf traits, plant community, Climate, Biodiversity, plant, Comparative Plant Ecology, Plant Science, Ecological succession, litter decomposition, 01 natural sciences, land-use change, primary productivity, Soil, Abundance (ecology), soil properties, 11. Sustainability, Land use, land-use change and forestry, Israel, agriculture, 2. Zero hunger, disturbance, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, European marginal agriculture, Ecology, Vegetation, Plants, life-history traits, European marginal, Europe, Old-field succession, ecosystem properties, community, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, Poaceae, 010603 evolutionary biology, methods, diversity, vegetation, Humans, Ecosystem, nutrient limitation, plant functional traits, Primary production, Plant community, 15. Life on land, 13. Climate action, climate gradient, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: International audience; Background and Aims A standardized methodology to assess the impacts of land-use changes on vegetation and ecosystem functioning is presented. It assumes that species traits are central to these impacts, and is designed to be applicable in different historical, climatic contexts and local settings. Preliminary results are presented to show its applicability. Methods Eleven sites, representative of various types of land-use changes occurring in marginal agro-ecosystems across Europe and Israel, were selected. Climatic data were obtained at the site level; soil data, disturbance and nutrition indices were described at the plot level within sites. Sixteen traits describing plant stature, leaf characteristics and reproductive phase were recorded on the most abundant species of each treatment. These data were combined with species abundance to calculate trait values weighed by the abundance of species in the communities. The ecosystem properties selected were components of above-ground net primary productivity and decomposition of litter. Key Results The wide variety of land-use systems that characterize marginal landscapes across Europe was reflected by the different disturbance indices, and were also reflected in soil and/or nutrient availability gradients. The trait toolkit allowed us to describe adequately the functional response of vegetation to land-use changes, but we suggest that some traits (vegetative plant height, stem dry matter content) should be omitted in studies involving mainly herbaceous species. Using the example of the relationship between leaf dry matter content and above-ground dead material, we demonstrate how the data collected may be used to analyse direct effects of climate and land use on ecosystem properties vs. indirect effects via changes in plant traits. Conclusions This work shows the applicability of a set of protocols that can be widely applied to assess the impacts of global change drivers on species, communities and ecosystems.
Published: 2006

45. A structural equation model to integrate changes in functional strategies during old-field succession

Author: Eric Garnier, Denis Vile, Bill Shipley, Université de Sherbrooke (UdeS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud])
Subjects: 0106 biological sciences, 2. Zero hunger, Biomass (ecology), Secondary succession, Ecology, Specific leaf area, Plant Development, Growing season, food and beverages, Ecological succession, Models, Theoretical, 15. Life on land, Biology, 010603 evolutionary biology, 01 natural sciences, Abundance (ecology), Old field, Allometry, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecology, Evolution, Behavior and Systematics, 010606 plant biology & botany
Abstract: From a functional perspective, changes in abundance, and ultimately species replacement, during succession are a consequence of integrated suites of traits conferring different relative ecological advantages as the environment changes over time. Here we use structural equations to model the interspecific relationships between these integrated functional traits using 34 herbaceous species from a Mediterranean old-field succession and thus quantify the notion of a plant strategy. We measured plant traits related to plant vegetative and reproductive size, leaf functioning, reproductive phenology, seed mass, and production on 15 individuals per species monitored during one growing season. The resulting structural equation model successfully accounts for the pattern of trait covariation during the first 45 years post-abandonment using just two forcing variables: time since site abandonment and seed mass; no association between time since field abandonment and seed mass was observed over these herbaceous stages of secondary succession. All other predicted traits values are determined by these two variables and the cause-effect linkage between them. Adding pre-reproductive vegetative mass as a third forcing variable noticeably increased the predictive power of the model. Increasing the time after abandonment favors species with increasing life span and pre-reproductive biomass and decreasing specific leaf area. Allometric coefficients relating vegetative and reproductive components of plant size were in accordance with allometry theory. The model confirmed the trade-off between seed mass and seed number. Maximum plant height and seed mass were major determinants of reproductive phenology. Our results show that beyond verbal conceptualization, plant ecological strategies can be quantified and modeled.
Published: 2006

46. Co-variations in litter decomposition, leaf traits and plant growth in species from a Mediterranean old-field succession

Author: Christiane Gallet, Elena Kazakou, Denis Vile, Eric Garnier, Bill Shipley, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Département de Biologie, Université de Sherbrooke [Sherbrooke], Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3)
Subjects: 0106 biological sciences, Litter (animal), leaf traits, Secondary succession, Dry-matter content, Specific leaf area, Ecological succession, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, functional types, chemistry, worldwide, 010603 evolutionary biology, 01 natural sciences, relative growth rate, vegetation, Relative growth rate, Botany, evolution, Ecosystem, Old field, Ecology, Evolution, Behavior and Systematics, ecosystem, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, fungi, food and beverages, area, 15. Life on land, Herbaceous plant, litter decomposability, succession, mass, chemical-composition, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, secondary, 010606 plant biology & botany
Abstract: International audience; 1. A growing consensus is developing that the impact of species on ecosystem properties is mediated, at least partially, by the traits of their component species. A previous study demonstrated that the field decomposition of complex litters produced by different communities of a Mediterranean successional sere was related to the average trait value of these communities. Here we scale down to the species level, to test whether similar relationships are found for selected species from these communities. We also test whether litter decomposability can be considered as part of the suite of traits characterizing the fast-slow growth continuum in plants. 2. We chose 12 of the most abundant herbaceous species characteristics of three stages of the old-field succession mentioned above. We investigated trait variation and covariation for the eight following traits: specific leaf area (SLA), leaf phosphorus (LPC), nitrogen (LNC) and carbon (LCC) concentrations, leaf dry matter content (LDMC) and leaf total phenols (TPh), all on material collected in the field; and litter decomposability (K-pot) and maximum relative growth rate (RGR(max)), obtained under standardized conditions in the laboratory. 3. Five of these traits were significantly lower in species from the advanced successional stage. These trends were similar when comparisons were conducted either with the 12 species, or on a subset incorporating taxonomic information. LDMC was the single trait best correlated with species RGR(max) and K-pot; the two latter traits were also significantly correlated with one another. 4. These results provide clear evidence of functional links between plant growth, leaf traits and litter decomposability. LDMC appears as a pivotal trait of living leaves related to their structural properties. It influences the quality of the litter produced, and hence species' potential 'after-life effects' on ecosystem properties.
Published: 2006

47. A decadal view of biodiversity informatics: challenges and priorities

Author: Alex, Hardisty, Dave, Roberts, Wouter, Addink, Bart, Aelterman, Donat, Agosti, Linda, Amaral-Zettler, Arturo H, Ariño, Christos, Arvanitidis, Thierry, Backeljau, Nicolas, Bailly, Lee, Belbin, Walter, Berendsohn, Nic, Bertrand, Neil, Caithness, David, Campbell, Guy, Cochrane, Noël, Conruyt, Alastair, Culham, Christian, Damgaard, Neil, Davies, Bruno, Fady, Sarah, Faulwetter, Alan, Feest, Dawn, Field, Eric, Garnier, Guntram, Geser, Jack, Gilbert, Grosche, David, Grosser, Bénédicte, Herbinet, Donald, Hobern, Andrew, Jones, Yde, de Jong, David, King, Sandra, Knapp, Hanna, Koivula, Wouter, Los, Chris, Meyer, Robert A, Morris, Norman, Morrison, David, Morse, Matthias, Obst, Evagelos, Pafilis, Larry M, Page, Roderic, Page, Thomas, Pape, Cynthia, Parr, Alan, Paton, David, Patterson, Elisabeth, Paymal, Lyubomir, Penev, Marc, Pollet, Richard, Pyle, Eckhard, von Raab-Straube, Vincent, Robert, Tim, Robertson, Olivier, Rovellotti, Hannu, Saarenmaa, Peter, Schalk, Joop, Schaminee, Paul, Schofield, Andy, Sier, Soraya, Sierra, Vince, Smith, Edwin, van Spronsen, Simon, Thornton-Wood, Peter, van Tienderen, Jan, van Tol, Éamonn Ó, Tuama, Peter, Uetz, Lea, Vaas, Régine, Vignes Lebbe, Todd, Vision, Duong, Vu, Aaike, De Wever, Richard, White, Kathy, Willis, Fiona, Young, Experimental Plant Systematics (IBED, FNWI), School of Computer Sciences & Informatics [Cardiff], Cardiff University, National History Museum of London, European Union 7th Framework Programme within the Research Infrastructures group (283359 261532), and Fady, Bruno
Subjects: QA75, 0106 biological sciences, data sharing, Information Dissemination, Biodiversity, Biodiversity informatics, 010603 evolutionary biology, 01 natural sciences, Ecosystem services, 03 medical and health sciences, Environmental Science(all), Correspondence, research infrastructure, 11. Sustainability, Animals, Humans, informatics, Sociology, Ecosystem, Ecology, Evolution, Behavior and Systematics, biodiversity, 030304 developmental biology, General Environmental Science, 0303 health sciences, GE, Food security, e-Infrastructure, Ecology, QH, Computational Biology, 15. Life on land, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], systems approaches, Data sharing, decadal vision, grand challenge, 13. Climate action, Informatics, Sustainability, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: Biodiversity informatics plays a central enabling role in the research community's efforts to address scientific\ud conservation and sustainability issues. Great strides have been made in the past decade establishing a framework\ud for sharing data, where taxonomy and systematics has been perceived as the most prominent discipline involved.\ud To some extent this is inevitable, given the use of species names as the pivot around which information is\ud organised. To address the urgent questions around conservation, land-use, environmental change, sustainability,\ud food security and ecosystem services that are facing Governments worldwide, we need to understand how the\ud ecosystem works. So, we need a systems approach to understanding biodiversity that moves significantly beyond\ud taxonomy and species observations. Such an approach needs to look at the whole system to address species\ud interactions, both with their environment and with other species.\ud It is clear that some barriers to progress are sociological, basically persuading people to use the technological\ud solutions that are already available. This is best addressed by developing more effective systems that deliver\ud immediate benefit to the user, hiding the majority of the technology behind simple user interfaces. An\ud infrastructure should be a space in which activities take place and, as such, should be effectively invisible.\ud This community consultation paper positions the role of biodiversity informatics, for the next decade, presenting\ud the actions needed to link the various biodiversity infrastructures invisibly and to facilitate understanding that can\ud support both business and policy-makers. The community considers the goal in biodiversity informatics to be full\ud integration of the biodiversity research community, including citizens’ science, through a commonly-shared,\ud sustainable e-infrastructure across all sub-disciplines that reliably serves science and society alike.
Published: 2013

48. Components of relative growth rate and sensitivity to nitrogen availability in annual and perennial species of Bromus

Author: Bertrand Muller, Eric Garnier, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud])
Subjects: 0106 biological sciences, Bromus sterilis, biology, Perennial plant, Bromus, Nitrate availability, food and beverages, 15. Life on land, biology.organism_classification, 010603 evolutionary biology, 01 natural sciences, Relative growth rate, Nutrient, Agronomy, Annual / perennial, Poaceae, Allocation patterns, Annual plant, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, 010606 plant biology & botany, Bromus erectus
Abstract: Two grass species, the annual Bromus sterilis and the perennial Bromus erectus, were grown from seeds for 28 days in a hydroponic culture system at 1 and 100 μM NO3- in the nutrient solution. At 100 μM NO3-, the relative growth rate (RGR) of the perennial was 30% lower than that of the annual. This was only the consequence of the higher specific mass of its leaves, since its leaf mass ratio was higher than that of the annual and the unit leaf rates (ULR), calculated on an area basis, were similar for the two species. At 1 μM, the RGR of the annual was 50% lower than at 100 μM, while that of the perennial was not significantly lower. This was due mainly to a lower ULR for the annual. while for the perennial ULR was the same in both treatments. These differences between the two species were all the more striking in that the differences in total nitrogen concentrations and nitrate reductase activities between the two treatments were very similar for both species. These different responses together with differences in the nitrogen productivity of the two species suggest that the level of nutrient availability may play an important role in the distribution of these Bromus species in natural habitats.
Published: 1990

49. Occupancy and overlap in trait space along a successional gradient in Mediterranean old fields

Author: Cyrille Violle, Benjamin Blonder, Denis Vile, Jessy Loranger, Bill Shipley, Eric Garnier, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université de Sherbrooke (UdeS), Environmental Change Institute, School of Geography and the Environment, University of Oxford [Oxford], Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)
Subjects: 0106 biological sciences, Secondary succession, Occupancy, Chronosequence, Plant Science, Ecological succession, Biology, 010603 evolutionary biology, 01 natural sciences, Quantitative Trait, Heritable, Limiting similarity, Genetics, Competitive exclusion, Dominance (ecology), Ecology, Evolution, Behavior and Systematics, 2. Zero hunger, Ecology, Community assembly, Mediterranean Region, Plant community, 15. Life on land, Plant Leaves, Trait, Functional convergence and divergence, France, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental filtering, 010606 plant biology & botany
Abstract: International audience; PREMISE OF THE STUDY: Secondary succession is a worldwide phenomenon affecting plant communities. Studying functional variation during succession aids in understanding the mechanisms through which environmental shifts drive succession. We investigated changes in the functional space occupied by herbaceous communities during succession. Furthermore, since different traits are differently affected by environmental conditions, we asked how considering different sets of plant traits impacts those changes. METHODS: Using a chronosequence of Mediterranean old fields (2–42 yr after abandonment), we analyzed shifts of the occupied functional space during succession, how the volume of occupied functional space varies compared with null expectations, and the functional overlap between communities of different successional status. We repeated these analyses considering (1) the leaf–height–seed functional dimensions separately and together and (2) different sets of traits representing those dimensions. KEY RESULTS: From early to late succession, a shift toward nutrient conservative-light competitive species occurred. Functional strategies of mid-successional communities appeared more diverse than expected by chance and less diverse than expected for early and late communities. Early and middle stages overlapped the most. These patterns were generally robust to the choice of functional axes, though important trait-specific exceptions occurred. CONCLUSIONS: We showed evidence for a well-defined history of successive dominance of different assembly mechanisms along succession, resulting in a generally stronger functional diversification in mid-succession. We also demonstrated that different traits typically grouped under one functional dimension can substantially affect the results, discouraging the use of surrogate traits from the same dimension.
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