Author: "Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM)" / Topic: [sdv.bid.spt]life sciences [q-bio]/biodiversity/systematics, phylogenetics and taxonomy - Searchworks@Jio Institute Digital Library Search Results

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Start Over Author "Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM)" Topic [sdv.bid.spt]life sciences [q-bio]/biodiversity/systematics, phylogenetics and taxonomy

89 results on '"Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM)"'

1. Geographical variation in the trait‐based assembly patterns of multitrophic invertebrate communities

Author: Diane S. Srivastava, A. Andrew M. MacDonald, Valério D. Pillar, Pavel Kratina, Vanderlei J. Debastiani, Laura Melissa Guzman, Mark Kurtis Trzcinski, Olivier Dézerald, Ignacio M. Barberis, Paula M. de Omena, Gustavo Q. Romero, Fabiola Ospina‐Bautista, Nicholas A. C. Marino, Céline Leroy, Vinicius F. Farjalla, Barbara A. Richardson, Ana Z. Gonçalves, Bruno Corbara, Jana S. Petermann, Michael J. Richardson, Michael C. Melnychuk, Merlijn Jocqué, Jacqueline T. Ngai, Stanislas Talaga, Gustavo C. O. Piccoli, Guillermo Montero, Kathryn R. Kirby, Brian M. Starzomski, Régis Céréghino, University of British Columbia (UBC), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), 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)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Centre de Synthèse et d’Analyse sur la Biodiversité (CESAB), Fondation pour la recherche sur la Biodiversité (FRB), Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Queen Mary University of London (QMUL), Dynamique et durabilité des écosystèmes : de la source à l’océan (DECOD), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (ECOFOG), Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-Centre National de la Recherche Scientifique (CNRS), Universidad Nacional de Rosario [Santa Fe], Universidade Estadual de Campinas = University of Campinas (UNICAMP), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Microorganismes : Génome et Environnement (LMGE), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut Pasteur de la Guyane, Réseau International des Instituts Pasteur (RIIP), and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Bromeliad invertebrates, Trait-based ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Habitat filtering, Ecology, Evolution, Behavior and Systematics, Functional biogeography
Abstract: International audience; It has been argued that the mechanisms structuring ecological communities may be more generalizable when based on traits than on species identities. If so, patterns in the assembly of community-level traits along environmental gradients should be similar in different places in the world. Alternatively, geographical change in the species pool and regional variation in climate might result in site-specific relationships between community traits and local environments. These competing hypotheses are particularly untested for animal communities. Here we test the geographical constancy of trait-based assembly patterns using a widespread multi-trophic community: aquatic macroinvertebrates within bromeliads. We used data on 615 invertebrate taxa from 1,656 bromeliads in 26 field sites from Mexico to Argentina. We summarized invertebrate traits with four orthogonal axes, and used these trait axes to examine trait convergence and divergence assembly patterns along three environmental gradients: detrital biomass and water volume in bromeliads, and canopy cover over bromeliads. We found no overall signal of trait-based assembly patterns along any of the environmental gradients. However, individual sites did show trait convergence along detrital and water gradients, and we built predictive models to explore these site differences. Sites that showed trait convergence along detrital gradients were all north of the Northern Andes. This geographical pattern may be related to phylogeographical differences in bromeliad morphology. Bromeliads with low detritus were dominated by detritivorous collectors and filter feeders, where those with high detritus had more sclerotized and predatory invertebrates. Sites that showed the strongest trait convergence along gradients in bromeliad water were in regions with seasonal precipitation. In such sites, bromeliads with low water were dominated by soft-bodied, benthic invertebrates with simple life cycles. In less seasonal sites, traits associated with short-term desiccation resistance, such as hard exoskeletons, were more important. In summary, we show that there are strong geographical effects on the trait-based assembly patterns of this invertebrate community, driven by the biogeography of their foundational plant species as well as by regional climate. We suggest that inclusion of biogeography and climate in trait-based community ecology could help make it a truly general theory.
Published: 2022

2. Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions

Author: Miro Demol, Hans Verbeeck, Bert Gielen, John Armston, Andrew Burt, Mathias Disney, Laura Duncanson, Jan Hackenberg, Daniel Kükenbrink, Alvaro Lau, Pierre Ploton, Artie Sewdien, Atticus Stovall, Stéphane Momo Takoudjou, Liubov Volkova, Christopher Weston, Verginia Wortel, Kim Calders, Universiteit Gent = Ghent University (UGENT), University of Antwerp (UA), University of Maryland [Baltimore], Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Université de Yaoundé I, Center for Agricultural Research in Suriname (CELOS), and European Project: 757526
Subjects: Quantitative Structure Modelling, Terrestrial laser scanning, carbon, Ecological Modeling, quantitative Structure Modelling, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, allometric scaling models, Carbon, Chemistry, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Laboratory of Geo-information Science and Remote Sensing, Above-ground biomass, Allometric scaling models, Laboratorium voor Geo-informatiekunde en Remote Sensing, terrestrial laser scanning, 3D reconstruction, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, REDD+, Biology, Ecology, Evolution, Behavior and Systematics, above-ground biomass
Abstract: International audience; Improving the global monitoring of above-ground biomass (AGB) is crucial for forest management to be effective in climate mitigation. In the last decade, methods have been developed for estimating AGB from terrestrial laser scanning (TLS) data. TLS-derived AGB estimates can address current uncertainties in allometric and Earth observation (EO) methods that quantify AGB. We assembled a global dataset of TLS scanned and consecutively destructively measured trees from a variety of forest conditions and reconstruction pipelines. The dataset comprised 391 trees from 111 species with stem diameter ranging 8.5 to 180.3 cm and AGB ranging 13.5–43,950 kg. TLS-derived AGB closely agreed with destructive values (bias 1,000 kg). More effort should go to further understanding and constraining several TLS error sources. We currently lack an objective method of evaluating point cloud quality for tree volume reconstruction, hindering the development of reconstruction algorithms and presenting a bottleneck for tracking down the error sources identified in our synthesis. Since quantifying AGB with TLS requires only a fraction of the efforts as compared to destructive harvesting, TLS-calibrated ASMs can become a powerful tool in AGB upscaling. TLS will be critical for calibrating/validating scheduled and launched remote sensing initiatives aiming at global AGB mapping.
Published: 2022

3. Monitoring vegetation dynamics with open earth observation tools: the case of fire-modulated savanna to forest transitions in Central Africa

Author: Le Bienfaiteur Takougoum Sagang, Pierre Ploton, Gaëlle Viennois, Jean-Baptiste Féret, Bonaventure Sonké, Pierre Couteron, Nicolas Barbier, University of Yaoundé [Cameroun], Institute of Agricultural Research for Development (IRAD), Institut de Recherche Agricole pour le Développement [Yaoundé] (IRAD), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), International Joint Laboratory DYCOFAC, This work was financially supported by the Nachtigal Hydropower Company (Contract n. C006C007-DES-2017) under the environmental impact study associated to the construction of a hydroelectric dam on the Sanaga river in the Centre region of Cameroon. This study is also part of the 3DForMod project (ANR-17-EGAS-0002-01) funded by the framework of the JPI FACCE ERA-GAS call under the European Union's Horizon 2020 research and innovation program (grant agreement no. 696356). L.B.T.S. benefited from the 'Allocations de recherche pour une th`ese au Sud (ARTS)' grant program to fund research stays in France. J. B.F. acknowledges financial support from Agence Nationale de la Recherche (BioCop project-ANR-17-CE32-0001)., ANR-17-CE32-0001,BioCop,Suivi de la biodiversité tropicale avec les satellites Sentinel-2 du programme Copernicus(2017), and European Project: 3DForMod
Subjects: Aboveground biomass, Species assemblage, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Fire, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Atomic and Molecular Physics, and Optics, Forest-savanna transition, Computer Science Applications, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, UAV-LiDAR, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Computers in Earth Sciences, Google Earth Engine, Engineering (miscellaneous)
Abstract: International audience; Woody encroachment and forest progression are widespread in forest-savanna transitional areas in Central Africa. Quantifying these dynamics and understanding their drivers at relevant spatial scales has long been a challenge. Recent progress in open access imagery sources with improved spatial, spectral and temporal resolution combined with cloud computing resources, and the advent of relatively cheap solutions to deploy laser sensors in the field, have transformed this domain of study. We present a study case in the Mpem & Djim National Park (MDNP), a 1,000 km2 protected area in the Centre region of Cameroon. Using open source algorithms in Google Earth Engine (GEE), we characterized vegetation dynamics and the fire regime based on Landsat multispectral imagery archive (1975–2020). Current species assemblages were estimated from Sentinel 2 imagery and the open source biodivMapR package, using spectral dissimilarity. Vegetation structure (aboveground biomass; AGB) was characterized using Unmanned Aerial vehicle (UAV) LiDAR scanning data sampled over the study area. Savanna vegetation, which was initially dominant in the MDNP, lost about 50% of its initial cover in
Published: 2022

4. Microspines in tropical climbing plants: a small-scale fix for life in an obstacle course

Author: Romain Lehnebach, Cloé Paul-Victor, Elisa Courric, Nick P Rowe, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), and European Project: 82407,GROWBOT
Subjects: Microspines, Searcher stems, Physiology, Attachment, GrowBots, Robotics, Plant Science, Plants, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Static force, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Climbing plants, Sliding force, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: Many climbing plants have microspines on their stems, which facilitate attachment and prevent slipping and falling from host plant supports. Extending via growth through complex environments and anchoring stems to substrates with minimal contact forces are key benefits for climbing plants. Microspines are also highly desirable features for new technologies and applications in soft robotics. Using a novel sled-like device, we investigated static and sliding attachment forces generated by stems in 10 species of tropical climber from French Guiana differing in size and climbing habit. Eight species showed higher static and sliding forces when their stems were pulled in the basal direction against a standard surface than in the apical direction. This anisotropic behaviour suggests that tropical climbers have evolved different ratchet-like mechanisms that allow easy sliding forwards but are resistant to slipping downwards. The presence of a downwards ‘stick-and-slip’ phenomenon, where static attachment is not significantly stronger than maximal sliding attachment, was present in most species apart from three showing relatively weak attachment by microspines. This indicates that diverse microspine attachment strategies exist in climbing plants. This diversity of functional properties offers a range of potential design specifications for climbing strategies on different substrates for artificial climbing artefacts.
Published: 2022

5. Novel plant communities after glacial retreat in Colombia: (many) losses and (few) gains

Author: Anthelme, Fabien, Carrasquer, Ines, Ceballos, Jorge Luis, Peyre, Gwendolyn, Ceballos, Jorge, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), and Universidad de los Andes [Bogota] (UNIANDES)
Subjects: Tropical alpine, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Climatic debt, Los Nevados national park, Andes, Plant Science, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Growth forms, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Biogeographic origins, Post-glacial chronosequence, Ecology, Evolution, Behavior and Systematics
Abstract: International audience; Early plant primary succession in recently deglacierized terrains is a good indicator of the species losses and gains that affect novel alpine plant communities migrating under the pressure of climate warming. In the tropical alpine -páramo- region of the northern Andes, home to the world's greatest alpine phyto-diversity, forced primary succession will condition the conservation of many species. Using a post-glacial chronosequence between the little ice age and present below the Conejeras glacier (Colombia) as a space-for-time substitution approach, we sought to determine how time since deglacierization affects the composition, the biogeographic origin and the growth form distribution of novel tropical alpine plant communities. Using an array of multivariate techniques and the Dirichlet model, we assessed relationships among plant communities and with environmental factors. Communities established in less than 169 years lacked a number of characteristic and endemic species usually found in the national park Los Nevados, such as Calamagrostis effusa, Senecio isabelis and Espeletia hartwegiana. Moreover, these communities have been colonized by non-native species, e.g., Rumex acetosella. Upright shrubs and large tussock grasses, characteristic of the alpine tropics, established slowly because they required highly organic, slow-developing soils. Taxa of tropical biogeographic origin were under-represented early after deglacierization in comparison with temperate taxa. These results suggest the existence of a strong climatic debt for some native species, tropical growth forms and taxa of tropical origin, which may translate into significant taxonomic and functional losses whereas the few observed gains concern the establishment of non-native species.
Published: 2022

6. Fragmented landscape generator (flsgen): A neutral landscape generator with control of landscape structure and fragmentation indices

Author: Gregoire Blanchard, Xavier Lorca, Dimitri Justeau-Allaire, Philippe Birnbaum, Ghislain Vieilledent, Thomas, Paul Ibanez, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Institut Agronomique Néo-Calédonien (IAC), IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT), Centre Génie Industriel (CGI), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Systèmes Biologiques (Cirad-BIOS), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Subjects: Neutral landscape, Landscape ecology, Application des ordinateurs, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Artificial landscape generation, Programmation informatique, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Constraint programming, Landscape indices, Ecology, Evolution, Behavior and Systematics, Paysage, fragmentation de l'habitat, U10 - Informatique, mathématiques et statistiques, Contrainte, Ecological Modeling, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Habitat fragmentation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Modèle stochastique, Modèle mathématique
Abstract: International audience; 1. Neutral landscape models have many applications in ecology, such as supporting spatially-explicit simulations, developing, and evaluating landscape indices. However, current approaches provide few options to produce large landscapes with controlled composition and fragmentation indices. 2. We introduce flsgen (Fragmented Landscape Generator), a new neutral landscape generator that address this limitation by providing a high level of control over 14 landscape indices. The main novelty of flsgen is the decomposition of landscape generation into two steps: the solving of a constraint satisfaction problem and the generation of a landscape raster with a stochastic algorithm. The latter relies on a continuous environmental gradient that influences the landscape’s spatial configuration. 3. flsgen can generate fine-grained artificial landscapes in small amounts of time, which makes it suited to produce large landscape series systematically. We demonstrate the features of flsgen through three illustrative use cases. 4. flsgen is a practical and efficient tool that expand the current possibilities of neutral landscape models and widen their potential applications. To facilitate its uptake, flsgen is available as free and open-source software through a Java API, a command-line interface, or an R package.
Published: 2022

7. Ants mediate community composition of root‐associated fungi in an ant‐plant mutualism

Author: Céline Leroy, Arthur QuyManh Maes, Eliane Louisanna, Jean‐François Carrias, Régis Céréghino, Bruno Corbara, Nathalie Séjalon‐Delmas, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Recherche en Sciences Végétales (LRSV), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Laboratoire Microorganismes : Génome et Environnement (LMGE), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), 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)-Institut National Polytechnique (Toulouse) (Toulouse INP), Interactions Microbiennes dans la Rhizosphère et les Racines, Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: ITS metabarcoding, fungi, food and beverages, fungal functional guilds, biochemical phenomena, metabolism, and nutrition, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Camponotus femoratus, Symbiotrophic fungi, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Neoponera goeldii, Carton nest, Aechmea mertensii, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecology, Evolution, Behavior and Systematics, Ant garden
Abstract: International audience; Cross-kingdom interactions with plants were frequently related to microbial pathogens and herbivores. Yet, mutualistic interactions that involve multiple partners can confer cross-kingdom functional benefits, which have been understudied. Ant gardens (AGs) are recognized as one of the most sophisticated of all symbioses between ants and flowering plants, forming good models to study cross-kingdom interactions. The aim of this study was to examine whether ant-plant interactions can influence the community composition of root-associated fungi. We assessed whether two AG ant species, Camponotus femoratus and Neoponera goeldii, confer different physico-chemical properties to their nests, and affect root fungal community composition and fungal functional guilds in the bromeliad Aechmea mertensii. The diversity and community composition of root-associated fungi depended on ant species identity. The two ants had a contrasting influence on the structure and chemistry of the nest, and on the floristic diversity of the AGs. Multiple drivers may therefore determine the root-associated fungal communities. As the outcome of the ant-bromeliad interaction depends on the ant species, and because the plants are also involved in interactions with root-associated symbionts, this study provided evidence that ecologically relevant symbioses can be mediated by cross-kingdom interactions.
Published: 2022

8. Habitat partitioning of soil microbial communities along an elevation gradient: from plant root to landscape scale

Author: Luis Merino‐Martín, Daniel Hernández‐Cáceres, Frédérique Reverchon, Guillermo Angeles‐Alvarez, Guangqi Zhang, Denis Dunoyer de Segonzac, Damien Dezette, Alexia Stokes, Universidad Rey Juan Carlos [Madrid] (URJC), 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)-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, 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 Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Red de Ecología Funcional, Instituto de Ecología, Veracruz, ADNid, Partenaires INRAE, Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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), CONACYT-2, and ANR-16-CE03-0009,ECOPICS,Services écosystémiques souterrains produits par les communautés végétales le long de gradients altitudinaux en France et au Mexique(2016)
Subjects: Microbial diversity, Picea abies, Vaccinium myrtillus, French Alpes, Root traits, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Mountain ecosystem, Juniperus communis, Soil properties, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Alpine ecosystem, Ecology, Evolution, Behavior and Systematics
Abstract: International audience; Within a landscape, multiple habitats exist for soil microbial communities. But how these habitats shape community composition requires an understanding of the way in which microbial diversity is impacted across a broad range of spatial scales. Mountain ecosystems are excellent systems to study microbial communities, because a multitude of climate and soil variables change within a relatively small distance. We investigated microbial community structure in bulk and rhizosphere soils beneath three plant species, Vaccinium myrtillus, Juniperus communis and Picea abies, that structure local plant communities along an elevation gradient in the French Alps. We examined the impact that climate, soil properties, plant diversity and plant root chemical and morphological traits had on microbial αand β-diversities. The most abundant bacterial phyla detected in both bulk and rhizosphere soils were Proteobacteria, Actinobacteria, Acidobacteria and Verrucomicrobia. Along the elevation gradient, bacterial phyla did not display a clear distribution pattern between bulk and rhizosphere soils. For fungi, dominant phyla were Ascomycota and Basidiomycota, and contrasting distribution patterns were found between bulk and rhizosphere soils. Overall, bacterial and fungal α-diversity responded differently to elevation as well to soil compartments (bulk versus rhizosphere soil), revealing no significant patterns in bulk soil beneath any of the structuring plant species, but increasing in the rhizosphere compartment of P. abies just below the treeline. Changes in bacterial β-diversity with elevation were related mostly to soil physical and chemical properties. Bacterial and fungal α-diversity in rhizosphere communities were more related to plant species identity, vegetation diversity and belowground plant traits compared to soil properties, whilst the opposite was found for bulk soil. Our results highlight that environmental changes at the landscape scale (e.g. associated to elevation, soil properties or climate), impact significantly soil microbial communities, but vegetation refines communities at a local scale via the rhizosphere niche.
Published: 2023

9. Piperaceae Raddianae : A taxonomic and nomenclatural study of Giuseppe Raddi's Brazilian Piperaceae

Author: Elsie Franklin Guimarães, George Azevedo de Queiroz, Piero G. Delprete, Riccardo M. Baldini, Instituto de Pesquisas Jardim Botanico do Rio de Janeiro (JBRJ), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), and Università degli Studi di Firenze = University of Florence (UniFI)
Subjects: Neotropics, Rio de Janeiro, Typification, Plant Science, South America, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Piper, Ecology, Evolution, Behavior and Systematics, Peperomia
Abstract: International audience; Giuseppe Raddi collected in the state of Rio de Janeiro, Brazil, from November 1817 to June 1818. He published 12 new names in the family Piperaceae in an article that appeared in 1828. Raddi's article has not been cited in specialized literature and these names were never properly studied. In the present study, these names are typified, and their identity is clarified. Five new combinations are here presented, namely Peperomia callitrichoides, P. catesbaeifolia, P. cylindrica, P. gracillima, and P. plantaginifolia. The new name Piper raddianum is published, honoring him and his botanical accomplishments. In addition, the names Piper scutatum, Piper scolopendrifolium, Piper truncatum, Piper fluminense, Steffensia ampla (≡ Piper amplum), Piper variabile, Piper catesbaeafolium, Piper cylindricum, Piper pumilum, Peperomia martiana, and Piper gracillimum are here lectotypified.
Published: 2023

10. Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates

Author: Correa, Diego F., Stevenson, Pablo R., Umaña, Maria Natalia, Coelho, Luiz de Souza, Lima Filho, Diógenes de Andrade, Salomão, Rafael P., do Amaral, Iêda Leão, Wittmann, Florian, Matos, Francisca Dionízia de Almeida, Castilho, Carolina V., Phillips, Oliver L., Guevara, Juan Ernesto, Carim, Marcelo de Jesus Veiga, Magnusson, William E., Sabatier, Daniel, Molino, Jean-François, Irume, Mariana Victória, Martins, Maria Pires, Guimarães, José Renan da Silva, Bánki, Olaf S., Piedade, Maria Teresa Fernandez, Pitman, Nigel C. A., Monteagudo Mendoza, Abel, Ramos, José Ferreira, Luize, Bruno Garcia, Novo, Evlyn Márcia Moraes de Leão, Núñez Vargas, Percy, Silva, Thiago Sanna Freire, Venticinque, Eduardo Martins, Manzatto, Angelo Gilberto, Reis, Neidiane Farias Costa, Terborgh, John W., Casula, Katia Regina, Honorio Coronado, Euridice N., Montero, Juan Carlos, Schöngart, Jochen, Cárdenas López, Dairon, Costa, Flávia R. C., Quaresma, Adriano Costa, Zartman, Charles Eugene, Killeen, Timothy J., Marimon, Beatriz S., Marimon-Junior, Ben Hur, Vasquez, Rodolfo, Mostacedo, Bonifacio, Demarchi, Layon O., Feldpausch, Ted R., Assis, Rafael L., Baraloto, Christopher, Engel, Julien, Petronelli, Pascal, Castellanos, Hernán, de Medeiros, Marcelo Brilhante, Simon, Marcelo Fragomeni, Andrade, Ana, Camargo, José Luís, Laurance, Susan G. W., Laurance, William F., Maniguaje Rincón, Lorena, Schietti, Juliana, Sousa, Thaiane R., Farias, Emanuelle de Sousa, Lopes, Maria Aparecida, Magalhães, José Leonardo Lima, Nascimento, Henrique Eduardo Mendonça, de Queiroz, Helder Lima, Aymard C., Gerardo A., Brienen, Roel, Cardenas Revilla, Juan David, Vieira, Ima Célia Guimarães, Cintra, Bruno Barçante Ladvocat, Feitosa, Yuri Oliveira, Duivenvoorden, Joost F., Mogollón, Hugo F., Araujo-Murakami, Alejandro, Ferreira, Leandro Valle, Lozada, José Rafael, Comiskey, James A., de Toledo, José Julio, Damasco, Gabriel, Dávila, Nállarett, García-Villacorta, Roosevelt, Lopes, Aline, Vicentini, Alberto, Draper, Freddie C., Castaño Arboleda, Nicolás, Cornejo Valverde, F., Cornejo Valverde, Fernando, Alonso, Alfonso, Dallmeier, Francisco, Gomes, Vitor H. F., Neill, David, de Aguiar, Daniel P. P., Arroyo, Luzmila, Carvalho, Fernanda Antunes, de Souza, Fernanda Coelho, do Amaral, Dário Dantas, Feeley, Kenneth J., Gribel, Rogerio, Pansonato, Marcelo Petratti, Barlow, Jos, Berenguer, Erika, Ferreira, Joice, Fine, Paul V. A., Guedes, Marcelino Carneiro, Jimenez, Eliana M., Licona, Juan Carlos, Peñuela Mora, Maria Cristina, Villa Zegarra, Boris Eduardo, Cerón, Carlos, Fonty, Émile, Henkel, Terry W., Householder, John Ethan, Maas, Paul, Silveira, Marcos, Stropp, Juliana, Thomas, Raquel, Durgante, Flávia Machado, Baker, Tim R., Daly, Doug, Huamantupa-Chuquimaco, Isau, Milliken, William, Pennington, Toby, Ríos Paredes, Marcos, Molina, Pardo, Fuentes, Alfredo, Klitgaard, Bente, Marcelo Peña, José Luis, Peres, Carlos A., Silman, Miles R., Tello, J. Sebastián, Campelo, Wegliane, Chave, Jerome, Di Fiore, Anthony, Hilário, Renato Richard, Phillips, Juan Fernando, Rivas-Torres, Gonzalo, van Andel, Tinde R., von Hildebrand, Patricio, Pereira, Luciana de Oliveira, Barbosa, Edelcilio Marques, Barbosa, Flávia Rodrigues, Bonates, Luiz Carlos de Matos, Carpanedo, Rainiellen de Sá, Dávila Doza, Hilda Paulette, Zárate Gómez, Ricardo, Gonzales, Therany, Gallardo Gonzales, George Pepe, Hoffman, Bruce, Junqueira, André Braga, Malhi, Yadvinder, Miranda, Ires Paula de Andrade, Mozombite Pinto, Linder Felipe, Prieto, Adriana, Jesus Rodrigues, Domingos de, Rudas, Agustín, Ruschel, Ademir R., Silva, Natalino, Vela, César I. A., Vos, Vincent Antoine, Zent, Stanford, Zent, Egleé L., Noronha, Janaína Costa, Albuquerque, Bianca Weiss, Cano, Angela, Carrero Márquez, Yrma Andreina, Costa, Janaina Barbosa Pedrosa, Flores, Bernardo Monteiro, Galbraith, David, Holmgren, Milena, Kalamandeen, Michelle, Nascimento, Marcelo Trindade, Oliveira, Alexandre A., Ramirez-Angulo, Hirma, Rocha, Maira, Scudeller, Veridiana Vizoni, Sierra, Rodrigo, Tirado, Milton, van der Heijden, Geertje, Vilanova Torre, Emilio, Vriesendorp, Corine, Pombo, Maihyra Marina, Ahuite Reategui, Manuel Augusto, Baider, Cláudia, Balslev, Henrik, Cárdenas, Sasha, Casas, Luisa Fernanda, Farfan-Rios, William, Ferreira, Cid, Linares-Palomino, Reynaldo, Mendoza, Casimiro, Mesones, Italo, Torres-Lezama, Armando, Urrego Giraldo, Ligia Estela, Villarroel, Daniel, Zagt, Roderick, Parada, Germaine Alexander, Alexiades, Miguel N., de Oliveira, Edmar Almeida, Garcia-Cabrera, Karina, Hernandez, Lionel, Palacios Cuenca, Walter, Pansini, Susamar, Pauletto, Daniela, Ramirez Arevalo, Freddy, Sampaio, Adeilza Felipe, Valderrama Sandoval, Elvis H., Valenzuela Gamarra, Luis, ter Steege, Hans, DIEGO F. CORREA, UNIVERSIDAD DE LOS ANDES, PABLO R. STEVENSON, UNIVERSIDAD DE LOS ANDES, MARIA NATALIA UMAÑA, UNIVERSITY OF MICHIGAN, LUIZ DE SOUZA COELHO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, DIÓGENES DE ANDRADE LIMA FILHO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, RAFAEL P. SALOMÃO, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA, IÊDA LEÃO DO AMARAL, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, FLORIAN WITTMANN, KARLSRUHE INSTITUTE OF TECHNOLOGY, FRANCISCA DIONÍZIA DE ALMEIDA MATOS, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, CAROLINA VOLKMER DE CASTILHO, CPAF-RR, OLIVER L. PHILLIPS, UNIVERSITY OF LEEDS, JUAN ERNESTO GUEVARA, UNIVERSIDAD DE LAS AMÉRICAS, MARCELO DE JESUS VEIGA CARIM, INSTITUTO DE PESQUISAS CIENTÍFICAS E TECNOLÓGICAS DO AMAPÁ, WILLIAM E. MAGNUSSON, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, DANIEL SABATIER, UNIVERSITÉ DE MONTPELLIER, JEAN-FRANÇOIS MOLINO, UNIVERSITÉ DE MONTPELLIER, MARIANA VICTÓRIA IRUME, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, MARIA PIRES MARTINS, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, JOSÉ RENAN DA SILVA GUIMARÃES, AMCEL AMAPÁ FLORESTAL E CELULOSE, OLAF S. BÁNKI, NATURALIS BIODIVERSITY CENTER, MARIA TERESA FERNANDEZ PIEDADE, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, NIGEL C. A. PITMAN, THE FIELD MUSEUM, ABEL MONTEAGUDO MENDOZA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO, JOSÉ FERREIRA RAMOS, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, BRUNO GARCIA LUIZE, UNIVERSIDADE ESTADUAL DE CAMPINAS, EVLYN MÁRCIA MORAES DE LEÃO NOVO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS, PERCY NÚÑEZ VARGAS, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO, THIAGO SANNA FREIRE SILVA, UNIVERSITY OF STIRLING, EDUARDO MARTINS VENTICINQUE, UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE, ANGELO GILBERTO MANZATTO, UNIVERSIDADE FEDERAL DE RONDÔNIA, NEIDIANE FARIAS COSTA REIS, UNIVERSIDADE FEDERAL DE RONDÔNIA, JOHN W. TERBORGH, UNIVERSITY OF FLORIDA, KATIA REGINA CASULA, UNIVERSIDADE FEDERAL DE RONDÔNIA, EURIDICE N. HONORIO CORONADO, INSTITUTO DE INVESTIGACIONES DE LA AMAZONÍA PERUANA, JUAN CARLOS MONTERO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, JOCHEN SCHÖNGART, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, DAIRON CÁRDENAS LÓPEZ, INSTITUTO SINCHI, FLÁVIA R. C. COSTA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, ADRIANO COSTA QUARESMA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, CHARLES EUGENE ZARTMAN, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, TIMOTHY J. KILLEEN, AGTECA-AMAZONICA, BEATRIZ S. MARIMON, UNIVERSIDADE DO ESTADO DE MATO GROSSO, BEN HUR MARIMON-JUNIOR, UNIVERSIDADE DO ESTADO DE MATO GROSSO, RODOLFO VASQUEZ, JARDÍN BOTÁNICO DE MISSOURI, BONIFACIO MOSTACEDO, UNIVERSIDAD AUTÓNOMA GABRIEL RENÉ MORENO, LAYON O. DEMARCHI, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, TED R. FELDPAUSCH, UNIVERSITY OF LEEDS, RAFAEL L. ASSIS, UNIVERSITY OF OSLO, CHRISTOPHER BARALOTO, FLORIDA INTERNATIONAL UNIVERSITY, JULIEN ENGEL, UNIVERSITÉ DE MONTPELLIER, PASCAL PETRONELLI, CENTRE DE COOPÉRATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LE DÉVELOPPEMENT, HERNÁN CASTELLANOS, UNIVERSIDAD NACIONAL EXPERIMENTAL DE GUAYANA, MARCELO BRILHANTE DE MEDEIROS, Cenargen, MARCELO FRAGOMENI SIMON, Cenargen, ANA ANDRADE, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, JOSÉ LUÍS CAMARGO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, SUSAN G. W. LAURANCE, JAMES COOK UNIVERSITY, WILLIAM F. LAURANCE, JAMES COOK UNIVERSITY, LORENA MANIGUAJE RINCÓN, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, JULIANA SCHIETTI, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, THAIANE R. SOUSA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, EMANUELLE DE SOUSA FARIAS, INSTITUTO LEÔNIDAS E MARIA DEANE, MARIA APARECIDA LOPES, UNIVERSIDADE FEDERAL DO PARÁ, JOSÉ LEONARDO LIMA MAGALHÃES, UNIVERSIDADE FEDERAL DO PARÁ, HENRIQUE EDUARDO MENDONÇA NASCIMENTO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, HELDER LIMA DE QUEIROZ, INSTITUTO DE DESENVOLVIMENTO SUSTENTÁVEL MAMIRAUÁ, GERARDO A. AYMARD C., UNIVERSIDAD NACIONAL EXPERIMENTAL DE LOS LLANOS OCCIDENTALES 'EZEQUIEL ZAMORA', ROEL BRIENEN, UNIVERSITY OF LEEDS, JUAN DAVID CARDENAS REVILLA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, IMA CÉLIA GUIMARÃES VIEIRA, MUSEU PARAENSE EMÍLIO GOELDI, BRUNO BARÇANTE LADVOCAT CINTRA, UNIVERSIDADE DE SAO PAULO, YURI OLIVEIRA FEITOSA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, JOOST F. DUIVENVOORDEN, UNIVERSITY OF AMSTERDAM, HUGO F. MOGOLLÓN, ENDANGERED SPECIES COALITION, ALEJANDRO ARAUJO-MURAKAMI, UNIVERSIDAD AUTÓNOMA GABRIEL RENE MORENO, LEANDRO VALLE FERREIRA, MUSEU PARAENSE EMÍLIO GOELDI, JOSÉ RAFAEL LOZADA, UNIVERSIDAD DE LOS ANDES, JAMES A. COMISKEY, NATIONAL PARK SERVICE, JOSÉ JULIO DE TOLEDO, UNIVERSIDADE FEDERAL DO AMAPÁ, GABRIEL DAMASCO, UNIVERSITY OF GOTHENBURG, NÁLLARETT DÁVILA, UNIVERSIDADE ESTADUAL DE CAMPINAS, ROOSEVELT GARCÍA-VILLACORTA, CENTRO DE INNOVACIÓN CIENTÍFICA AMAZÓNICA, ALINE LOPES, UNIVERSIDADE DE BRASILIA, ALBERTO VICENTINI, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, FREDDIE C. DRAPER, UNIVERSITY OF LIVERPOOL, NICOLÁS CASTAÑO ARBOLEDA, INSTITUTO SINCHI, FERNANDO CORNEJO VALVERDE, ANDES TO AMAZON BIODIVERSITY PROGRAM, ALFONSO ALONSO, SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE, FRANCISCO DALLMEIER, SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE, VITOR H. F. GOMES, CENTRO UNIVERSITÁRIO DO PARÁ, DAVID NEILL, UNIVERSIDAD ESTATAL AMAZÓNICA, DANIEL P. P. DE AGUIAR, MINISTÉRIO PÚBLICO DO ESTADO DO AMAZONAS, LUZMILA ARROYO, UNIVERSIDAD AUTÓNOMA GABRIEL RENE MORENO, FERNANDA ANTUNES CARVALHO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, FERNANDA COELHO DE SOUZA, UNIVERSITY OF LEEDS, DÁRIO DANTAS DO AMARAL, MUSEU PARAENSE EMÍLIO GOELDI, KENNETH J. FEELEY, UNIVERSITY OF MIAMI, ROGERIO GRIBEL, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, MARCELO PETRATTI PANSONATO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, JOS BARLOW, LANCASTER UNIVERSITY, ERIKA BERENGUER, LANCASTER UNIVERSITY, JOICE NUNES FERREIRA, CPATU, PAUL V. A. FINE, UNIVERSITY OF CALIFORNIA, MARCELINO CARNEIRO GUEDES, CPAF-AP, ELIANA M. JIMENEZ, UNIVERSIDAD NACIONAL DE COLOMBIA, JUAN CARLOS LICONA, INSTITUTO BOLIVIANO DE INVESTIGACION FORESTAL, MARIA CRISTINA PEÑUELA MORA, UNIVERSIDAD REGIONAL AMAZÓNICA IKIAM, BORIS EDUARDO VILLA ZEGARRA, DIRECCÍON DE EVALUACIÓN FORESTAL Y DE FAUNA SILVESTRE, CARLOS CERÓN, UNIVERSIDAD CENTRAL DO EQUADOR, ÉMILE FONTY, UNIVERSITÉ DE MONTPELLIER, TERRY W. HENKEL, HUMBOLDT STATE UNIVERSITY, JOHN ETHAN HOUSEHOLDER, KARLSRUHE INSTITUTE OF TECHNOLOGY, PAUL MAAS, NATURALIS BIODIVERSITY CENTER, MARCOS SILVEIRA, UNIVERSIDADE FEDERAL DO ACRE, JULIANA STROPP, MUSEO NACIONAL DE CIENCIAS NATURALES, RAQUEL THOMAS, IWOKRAMA INTERNATIONAL CENTRE FOR RAIN FOREST CONSERVATION AND DEVELOPMENT, FLÁVIA MACHADO DURGANTE, KARLSRUHE INSTITUTE OF TECHNOLOGY, TIM R. BAKER, UNIVERSITY OF LEEDS, DOUG DALY, NEW YORK BOTANICAL GARDEN, ISAU HUAMANTUPA-CHUQUIMACO, UNIVERSIDAD NACIONAL AMAZÓNICA DE MADRE DE DIOS, WILLIAM MILLIKEN, ROYAL BOTANIC GARDENS, TOBY PENNINGTON, UNIVERSITY OF EXETER, MARCOS RÍOS PAREDES, SERVICIOS DE BIODIVERSIDAD EIRL, PARDO MOLINA, UNIVERSIDAD AUTÓNOMA DEL BENI JOSÉ BALLIVIÁN, ALFREDO FUENTES, UNIVERSIDAD MAYOR DE SAN ANDRÉS, BENTE KLITGAARD, ROYAL BOTANIC GARDENS, JOSÉ LUIS MARCELO PEÑA, UNIVERSIDAD NACIONAL DE JAÉN, CARLOS A. PERES, UNIVERSITY OF EAST ANGLIA, MILES R. SILMAN, WAKE FOREST UNIVERSITY, J. SEBASTIÁN TELLO, MISSOURI BOTANICAL GARDEN, WEGLIANE CAMPELO, UNIVERSIDADE FEDERAL DO AMAPÁ, JEROME CHAVE, UNIVERSITÉ PAUL SABATIER, ANTHONY DI FIORE, UNIVERSITY OF TEXAS AT AUSTIN, RENATO RICHARD HILÁRIO, UNIVERSIDADE FEDERAL DO AMAPÁ, JUAN FERNANDO PHILLIPS, FUNDACIÓN PUERTO RASTROJO, GONZALO RIVAS-TORRES, UNIVERSIDAD SAN FRANCISCO DE QUITO, TINDE R. VAN ANDEL, NATURALIS BIODIVERSITY CENTER, PATRICIO VON HILDEBRAND, FUNDACIÓN ESTACIÓN DE BIOLOGÍA, LUCIANA DE OLIVEIRA PEREIRA, UNIVERSITY OF EXETER, EDELCILIO MARQUES BARBOSA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, FLÁVIA RODRIGUES BARBOSA, UNIVERSIDADE FEDERAL DO MATO GROSSO, LUIZ CARLOS DE MATOS BONATES, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, RAINIELLEN DE SÁ CARPANEDO, UNIVERSIDADE FEDERAL DO MATO GROSSO, HILDA PAULETTE DÁVILA DOZA, SERVICIOS DE BIODIVERSIDAD EIRL, RICARDO ZÁRATE GÓMEZ, INSTITUTO DE INVESTIGACIONES DE LA AMAZONÍA PERUANA, THERANY GONZALES, ACEER FOUNDATION, GEORGE PEPE GALLARDO GONZALES, SERVICIOS DE BIODIVERSIDAD EIRL, BRUCE HOFFMAN, AMAZON CONSERVATION TEAM, ANDRÉ BRAGA JUNQUEIRA, UNIVERSITAT AUTÒNOMA DE BARCELONA, YADVINDER MALHI, UNIVERSITY OF OXFORD, IRES PAULA DE ANDRADE MIRANDA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, LINDER FELIPE MOZOMBITE PINTO, SERVICIOS DE BIODIVERSIDAD EIRL, ADRIANA PRIETO, UNIVERSIDAD NACIONAL DE COLOMBIA, DOMINGOS DE JESUS RODRIGUES, UNIVERSIDADE FEDERAL DO MATO GROSSO, AGUSTÍN RUDAS, UNIVERSIDAD NACIONAL DE COLOMBIA, ADEMIR ROBERTO RUSCHEL, CPATU, NATALINO SILVA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA, CÉSAR I. A. VELA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO, VINCENT ANTOINE VOS, UNIVERSIDAD AUTÓNOMA DEL BENI JOSÉ BALLIVIÁN, STANFORD ZENT, INSTITUTO VENEZOLANO DE INVESTIGACIONES CIENTÍFICAS, EGLEÉ L. ZENT, INSTITUTO VENEZOLANO DE INVESTIGACIONES CIENTÍFICAS, JANAÍNA COSTA NORONHA, UNIVERSIDADE FEDERAL DO MATO GROSSO, BIANCA WEISS ALBUQUERQUE, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, ANGELA CANO, UNIVERSIDAD DE LOS ANDES, YRMA ANDREINA CARRERO MÁRQUEZ, UNIVERSIDAD DE LOS ANDES, JANAINA BARBOSA PEDROSA COSTA, BERNARDO MONTEIRO FLORES, UNIVERSIDADE FEDERAL DE SANTA CATARINA, DAVID GALBRAITH, UNIVERSITY OF LEEDS, MILENA HOLMGREN, WAGENINGEN UNIVERSITY & RESEARCH, MICHELLE KALAMANDEEN, MCMASTER UNIVERSITY, MARCELO TRINDADE NASCIMENTO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE, ALEXANDRE A. OLIVEIRA, UNIVERSIDADE DE SAO PAULO, HIRMA RAMIREZ-ANGULO, UNIVERSIDAD DE LOS ANDES, MAIRA ROCHA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, VERIDIANA VIZONI SCUDELLER, UNIVERSIDADE FEDERAL DO AMAZONAS, RODRIGO SIERRA, GEOIS, MILTON TIRADO, GEOIS, GEERTJE VAN DER HEIJDEN, UNIVERSITY OF NOTTINGHAM, EMILIO VILANOVA TORRE, UNIVERSIDAD DE LOS ANDES, CORINE VRIESENDORP, THE FIELD MUSEUM, MAIHYRA MARINA POMBO, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, MANUEL AUGUSTO AHUITE REATEGUI, PLUSPRETOL, CLÁUDIA BAIDER, UNIVERSIDADE DE SAO PAULO, HENRIK BALSLEV, AARHUS UNIVERSITY, SASHA CÁRDENAS, UNIVERSIDAD DE LOS ANDES, LUISA FERNANDA CASAS, UNIVERSIDAD DE LOS ANDES, WILLIAM FARFAN-RIOS, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO, CID FERREIRA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA, REYNALDO LINARES-PALOMINO, SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE, CASIMIRO MENDOZA, UNIVERSIDAD MAYOR DE SAN SIMON, ITALO MESONES, UNIVERSITY OF CALIFORNIA, ARMANDO TORRES-LEZAMA, UNIVERSIDAD DE LOS ANDES, LIGIA ESTELA URREGO GIRALDO, UNIVERSIDAD NACIONAL DE COLOMBIA, DANIEL VILLARROEL, UNIVERSIDAD AUTÓNOMA GABRIEL RENE MORENO, RODERICK ZAGT, TROPENBOS INTERNATIONAL, GERMAINE ALEXANDER PARADA, UNIVERSIDAD AUTÓNOMA GABRIEL RENE MORENO, MIGUEL N. ALEXIADES, UNIVERSITY OF KENT, EDMAR ALMEIDA DE OLIVEIRA, UNIVERSIDADE DO ESTADO DE MATO GROSSO, KARINA GARCIA-CABRERA, WAKE FOREST UNIVERSITY, LIONEL HERNANDEZ, UNIVERSIDAD NACIONAL EXPERIMENTAL DE GUAYANA, WALTER PALACIOS CUENCA, UNIVERSIDAD TÉCNICA DEL NORTE, SUSAMAR PANSINI, UNIVERSIDADE FEDERAL DE RONDÔNIA, DANIELA PAULETTO, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ, FREDDY RAMIREZ AREVALO, UNIVERSIDAD NACIONAL DE LA AMAZONIA PERUANA, ADEILZA FELIPE SAMPAIO, UNIVERSIDADE FEDERAL DE RONDÔNIA, ELVIS H. VALDERRAMA SANDOVAL, UNIVERSIDAD NACIONAL DE LA AMAZONIA PERUANA, LUIS VALENZUELA GAMARRA, JARDÍN BOTÁNICO DE MISSOURI, HANS TER STEEGE, NATURALIS BIODIVERSITY CENTER., University of St Andrews. Geography & Sustainable Development, University of St Andrews. School of Geography & Sustainable Development, Universidad de los Andes [Bogota] (UNIANDES), University of Michigan [Ann Arbor], University of Michigan System, Instituto Nacional de Pesquisas da Amazônia (INPA), Universidade Federal Rural da Amazônia (UFRA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Missouri Botanical Garden, and Naturalis Biodiversity Center [Leiden]
Subjects: Geography & travel, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Florestas inundadas, flooded forests, terra-firme forests, Ecology, Evolution, Behavior and Systematics, ddc:910, Disperser‐availability hypothesis, Global and Planetary Change, Resource‐availability hypothesis, Ecology, anemochory, Terra‐firme forests, resource-availability hypothesis, DAS, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, dispersal agents, Biosystematiek, endozoochory, Floresta de terra firme, MCP, Floresta Pluvial Tropical, Wildlife Ecology and Conservation, synzoochory, Biosystematics, hydrochory, ARBORIZAÇÃO, Rain forests, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, disperser-availability hypothesis, Amazonian rain forests
Abstract: DFC acknowledges financial support from the Colombian institution Departamento Administrativo de Ciencia, Tecnología e Innovación COLCIENCIAS (Convocatoria 529 para estudios de doctorado en el exterior). PRS acknowledges the Faculty of Sciences, Universidad de los Andes, for financial support (INV-2021-128-2268). Aim : To investigate the geographic patterns and ecological correlates in the geographic distribution of the most common tree dispersal modes in Amazonia (endozoochory, synzoochory, anemochory and hydrochory). We examined if the proportional abundance of these dispersal modes could be explained by the availability of dispersal agents (disperser‐availability hypothesis) and/or the availability of resources for constructing zoochorous fruits (resource‐availability hypothesis). Time period : Tree‐inventory plots established between 1934 and 2019. Major taxa studied : Trees with a diameter at breast height (DBH) ≥ 9.55 cm. Location : Amazonia, here defined as the lowland rain forests of the Amazon River basin and the Guiana Shield. Methods : We assigned dispersal modes to a total of 5433 species and morphospecies within 1877 tree‐inventory plots across terra‐firme, seasonally flooded, and permanently flooded forests. We investigated geographic patterns in the proportional abundance of dispersal modes. We performed an abundance‐weighted mean pairwise distance (MPD) test and fit generalized linear models (GLMs) to explain the geographic distribution of dispersal modes. Results : Anemochory was significantly, positively associated with mean annual wind speed, and hydrochory was significantly higher in flooded forests. Dispersal modes did not consistently show significant associations with the availability of resources for constructing zoochorous fruits. A lower dissimilarity in dispersal modes, resulting from a higher dominance of endozoochory, occurred in terra‐firme forests (excluding podzols) compared to flooded forests. Main conclusions : The disperser‐availability hypothesis was well supported for abiotic dispersal modes (anemochory and hydrochory). The availability of resources for constructing zoochorous fruits seems an unlikely explanation for the distribution of dispersal modes in Amazonia. The association between frugivores and the proportional abundance of zoochory requires further research, as tree recruitment not only depends on dispersal vectors but also on conditions that favour or limit seedling recruitment across forest types. Publisher PDF
Published: 2023

11. Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

Author: Gomes‐da‐silva, Janaína, Filardi, Fabiana L.R., Barbosa, Maria Regina V., Baumgratz, José Fernando A., Bicudo, Carlos E.M., Cavalcanti, Taciana, Coelho, Marcus A.N., Costa, Andrea, Costa, Denise, Dalcin, Eduardo Couto, Labiak, Paulo, Lima, Haroldo, Lohmann, Lúcia, Maia, Leonor, Mansano, Vidal, Menezes, Mariângela, Morim, Marli, Moura, Carlos Wallace N., Lughadha, Eimear Nic, Peralta, Denilson, Prado, Jefferson, Roque, Nádia, Stehmann, João Renato, Sylvestre, Lana, Trierveiler‐pereira, Larissa, Walter, Bruno M.T., Zimbrão, Geraldo, Forzza, Rafaela, Abreu, Fernanda, Abreu, Maria, Abreu, Vanessa H.R., Acuña‐castillo, Rafael, Afonso, Edgar A.L., Agra, Leandro A.N.N., Agra, Maria, Aguiar, Daniel P.P., Aires, Elisa, Almeda, Frank, Almeida, Gracineide S.S., Almeida, Mariana, Almeida, Nicolli B.C., Almeida, Rafael, Almeida, Roberto B.P., Almeida, Thaís, Almeida, Eduardo, Alves, Daniela, Alves, Flávio, Alves, Karina N.L., Alves, Maria B.B., Alves, Rodolfo, Amaral, Maria C.E., Amaral, André L.S., Amélio, Leandro, Amorim, André M.A., Amorim, Bruno, Amorim, Eduardo, Amorim, Vivian, Andrade, Ivanilza, Andrade, Ray, André, Thiago, Andreata, Regina H.P., Andrino, Caroline, Ângulo, María, Anjos, Cassiane, Antar, Guilherme, Antonicelli, Mirian C.A., Antunes, Lorena l.C., Aona, Lidyanne Y.S., Arana, Marcelo, Aranha, João L.M., Araújo, Anderson G.A., Araujo, Andréa, Araújo, Camila, Araujo, Cintia A.T., Araujo, Flávia, Araújo, Mário H.T., Arbo, Maria, Arnou, Emily, Asprino, Renata, Assis, Francine, Assis, Leandro C.S., Assis, Marta, Athayde Filho, Francisco, Athiê‐souza, Sarah, Azevedo, Igor H.F., Bacci, Lucas, Barbosa, Camilo V.O., Barbosa, Juliana, Barbosa‐silva, Rafael, Barcellos, Ian, Barboza, Gloria, Barcelos, Flávia R.B., Barcelos, Laísa, Barreto, Kamilla l., Barros, Fábio, Barros, Thamires l.A., Barros‐barreto, Maria B.B., Bastos, Cid J.P., Bastos, Cláudia, Batista, João A.N., Batista, Marcella M.I., Bautista, Hortencia, Benelli, Adarilda, Berguecio, Nicolás, Bernacci, Luís, Beyer, Maila, Bezerra, Andrea C.C., Bezerra, Luísa M.P.A., Bezerra, Yuri R.L., Bianchetti, Luciano, Bigio, Narcísio, Biral, Leonardo, Bissoli, Vinícius, Bittencourt, Felipe, Bochorny, Thuane, Bohn, Amabily, Bohs, Lynn, Bojacá, Gabriel F.P., Boldorini, Abril, Boldrini, Ilsi, Bolson, Mônica, Bordin, Juçara, Bordon, Natali, Borges, Rafael A.X., Borges, Rodrigo l., Bortoluzzi, Roseli l.C., Bove, Claudia, Bovini, Massimo, Braga, João M.A., Braga, Nayara S.S., Branco, Suema, Brauner, Laiana, Braz, Denise, Bringel, João B.A., Brito, Antonio l.V.T., Brito, Eliete, Bruniera, Carla, Buchoski, Monica, Buck, William, Bueno, Norma, Bueno, Vinicius, Büneker, Henrique, Bünger, Mariana, Buril‐vital, Maria T.A., Burton, George, Cabral, Andressa, Cabral, Elsa l., Cabral, Fernanda, Cabral, Tiara, Caddah, Mayara, Caires, Claudenir, Caires, Taiara, Calazans, Luana S.B., Caldas, Diana K.D., Calió, Maria, Calvo, Joel, Câmara, Paulo E.A.S., Camargo, Rodrigo, Camelo, Mel, Campos‐rocha, Antonio, Cândido, Elisa, Canestraro, Bianca, Canto‐dorow, Thais, Cantuária, Patrick, Cara, Álison l., Cárdenas, Gabriela, Cardoso, Andréia, Cardoso, Domingos B.O.S., Cardoso, Jesiane, Cardoso, Leandro J.T., Cardoso, Pedro, Cardozo, Andrey l., M.D. Cardozo, Nállarett, Carmo, Dimas, Carmo, João A.M., Carneiro, Camila, Carneiro, Cláudia, Carrijo, Tatiana, Caruzo, Maria B.R., Carvalho, Catarina, Carvalho, Dariane A.S., Carvalho, Fernanda, Carvalho, Maria l.S., Carvalho, Jefferson, Carvalho‐silva, Micheline, Castello, Ana C.D., Castro, Márcia, Castro E Silva, Isabella, Catenacci, Fernanda, Cavalcanti, Laise, Cavalheiro, Larissa, Cervi, Armando, Chacon, Roberta, Chagas, Aline, Chagas, Earl C.O., Chautems, Alain, Chauveau, Olivier, Chequín, Renata, Christ, Anderson l., Christ, Jheniffer, Cidrão, Bruno, Clark, Lynn, Coelho, Alexa A.O.P., Coelho, Guilherme, Coelho, Rubens l.G., Colletta, Gabriel, Colli‐silva, Matheus, Conceição, Adilva, Conceição, Tulio, Condack, João P.S., Contro, Fernanda l., Cordeiro, Inês, Cordeiro, Luciana, Cordeiro, Wesley P.F.S., Côrtes, Ana l.A., Costa, Daniel, Costa, Fabiane, Costa, Fernanda S.N., Costa, Francisco C.P., Costa, Géssica A.G., Costa, Isabelle G.C.M., Costa, Itayguara, Costa, Jeferson, Costa, Jorge A.S., Costa, José G.S., Costa, Maria T.R., Costa, Mitchel I.A., Costa, Suzana, Costa, Thiago, Costa, Tiago, Costa E Silva, Maria, Costa‐lima, James l., Cota, Matheus M.T., Couceiro, Yuri S.V., Coutinho, Thales, Couto, Dayvid, Couto, Ricardo, Couvo, Anielly, Cyrillo, Stephany, Dal Molin, Luis, Dalastra, Claudenice, Damasceno, Rafaella G.L., de Lazzari, Lara R.P., Deble, Leonardo, Delfini, Carolina, Delgado Junior, Geadelande, Delgado‐salinas, Alfonso, Della, Aline, Delprete, Piero, Dematteis, Massimiliano, Dettke, Greta, Devecchi, Marcelo, Dewes, Talita, Di Maio, Fernando, Dias, Kauê N.L., Dias, Micheli, Dias, Pedro, Díaz, Yani C.A., Dittrich, Vinícius A.O., Domínguez, Yoannis, Dórea, Marcos, Dorneles, Mariane, Dressler, Stefan, Duarte, Marilia, Duran, Juan D.T., Dutilh, Julie H.A., Dutra, Letícia l., Dutra, Valquíria, Echternacht, Livia, Eggers, Lilian, Erkens, Roy H.J., Eslabão, Marcelo, Espírito Santo, Fábio, Esser, Hans‐joachim, Essi, Liliana, Esteves, Gerleni l., Esteves, Roberto l., Everling, Joel, Ezcurra, Cecilia, Facco, Marlon, Fader, Andrea A.C., Falcão, Marcus J.A., Fantecelle, Laura, Farco, Gabriela, Faria, Allan l.A., Faria, Ana P.G., Faria, Aparecida, Faria, Maria, Faria, Jair, Farias, Sabrina, Farias‐singer, Rosana, Farinaccio, Maria, Fernandes, Ana, Fernandes, Fernando, Fernandes, José, Fernandes, Rozijane, Fernandes, Thiago, Fernandes, Ulisses, Fernandes, Aluisio, Fernando, Emanoel M.P., Ferreira, Carlos D.M., Ferreira, Fabrício, Ferreira, Gabriel, Ferreira, João P.R., Ferreira, Priscila P.A., Ferreira, Silvana, Ferrucci, María, Fiaschi, Pedro, Fidanza, Karina, Filgueiras, Tarciso, Firetti, Fabiana, Fleischmann, Andreas, Florentín, Javier, Florentín, Mariela, Flores, Andréia, Flores, Jerônimo M.M., Flores, Thiago, Fonseca, Luiz H.M., Fontelas, Jean, Fontella‐pereira, Jorge, Forster, Wellington, Fraga, Claudio, Fraga, Fernanda R.M., Fraga, Santiago, França, Flávio, França, Juliana R.K.G., Francisco, Jéssica N.C., Freire‐fierro, Alina, Freitas, Fernanda, Freitas, Joelcio, Freitas, Maria, Fritsch, Peter, Funez, Luís, Furtado, Samyra, Gaem, Paulo, Gaglioti, André l., Gagnon, Edeline, Gama, Beatriz R.A., Garcia, Flávia C.P., Gasper, André l., Gerace, Samuele, Giacomin, Leandro l., Giaretta, Augusto, Gil, André S.B., Gissi, Danilo, Giuffre, Pamela M.W., Giulietti, Ana, Giussani, Liliana, Goebel, Gabriela, Goes, Monique, Góes, Luiz A.A., Goldenberg, Renato, Gomes, Beatriz, Gomes, Fernanda, Gomes, Mario, Gomes‐klein, Vera l., Gonçalez, Victor, Gonçalves, Ana P.S., Gonçalves, Deise J.P., Gonella, Paulo, Gonzaga, Augusto F.N., Gonzaga, Diego, González, Favio, Gonzatti, Felipe, Gouvêa, Yuri, Graham, Shirley A.T., Gregório, Bernarda, Grings, Martin, Groppo, Milton, Grossi, Mariana, Guarçoni, Elidio A.E., Guedes, Felipe, Guedes, Juliana, Guerra, Ethiéne, Guimarães, Elsie, Guimarães, Leonardo R.S., Guimarães, Paulo J.F., Gurgel, Ely S.C., Gutiérrez, Diego, Hall, Climbiê, Harley, Raymond, Hassemer, Gustavo, Hattori, Eric K.O., Hechenleitner, Paulina, Hefler, Sonia, Heiden, Gustavo, Henning, Tilo, Henriques, Diego, Hensold, Nancy, Hinoshita, Lucas K.R., Hirai, Regina, Hirao, Yasmin, Hiriart, Florencia, Hopkins, Michael J.G., Hoyos‐gómez, Saúl, Huamantupa, Isau, Hurbath, Fernanda, Iganci, João R.V., Ilkiu‐borges, Anna l., Imig, Daniela, Inácio, Camila, Indriunas, Alexandre, Jacques, Eliane l., Jacques, Suara S.A., Jaimes, Juliana, Jardim, Jomar, Jesus, Jôane, Jesus, Priscila, Jiménez‐mejías, Pedro, Johnson, David, Jordão, Lucas S.B., Jordão, Valner M.M., Jorge, Taciane, Kaehler, Miriam, Kameyama, Cíntia, Kataoka, Eric, Kessous, Igor, Kilipper, Julia, Kinoshita, Luiza, Klein, Viviane, Klitgaard, Bente, Knapp, Sandra, Koch, Ana, Koch, Ingrid, Kochanovski, Fábio, Kominami, Gabriel F.G., Konno, Tatiana U.P., Koschnitzke, Cristiana, Kotovski, Emília, Kriebel, Ricardo, Külkamp, Josimar, Leal, Brígida, Leal, Eduardo, Leite, Áurea C.F., Leite, Wellerson, Leitman, Paula, Lewis, Gwilym, Lima, Adriana, Lima, Alexandre, Lima, Duane F.S., Lima, Eliene, Lima, Jessica, Lima, Laíce F.G., Lima, Laura C.P., Lima, Letícia, Lima, Lucas, Lima, Luis F.P., Lima, Rita, Lima, Vanessa l., Link‐perez, Melanie, Lirio, Elton, Lobão, Adriana, Loeuille, Benoit F.P., Loiola, Maria I.B., Lombardi, Julio, Longhi‐wagner, Hilda, Lopes, Gabriel S.R., Lopes, Jenifer, Lopes, Letícia, Lopes, Raimundo, Lopes, Rosana, López, Maria, Lorencini, Tiago, Lorenzi, Harri, Lourenço, Ana R.L., Lourenço, Arthur, Louzada, Rafael, Lovo, Juliana, Lozano, Eduardo, Luber, Jaquelini, Lucas, Dióber, Lucas, Eve, Lüdtke, Raquel, Luebert, Federico, Luizi‐ponzo, Andrea, Luna, Bruna, Luna, Naédja K.M., Luz, Cíntia l.S., Machado, Anderson F.P., Machado, Evandro, Machado, Talita, Maciel, Jefferson, Maciel, Sebastião, Magalhães, Rodrigo, Magenta, Mara A.G., Maia, Talita, Mamede, Maria C.H., Marchioretto, Maria, Margalho, Luciano, Marinho, Lucas, Marques, Danilo, Marquete, Ronaldo, Marra, Raquel, Martins, Angela, Martins, Márcio l.L., Martins, Marcos B.S., Martins, Milena, Martins, Renata, Martins, Suzana, Masson, Victória, Matias, Ligia, Matos, Agnes M.M.V., Matos, Andreza, Matos, Fernando, Matozinhos, Carolina, Mattos, Cilene M.J., Mattos, Leticia, Matzenauer, William, Mauad, Anna V.S.R., Maya‐lastra, Carlos, Mayo, Simon, Mazine, Fiorella, Medeiros, Débora, Medeiros, Erika V.S.S., Medeiros, Herison, Medeiros, Maria C.M.P., Meerow, Alan, Meireles, Jose, Meireles, Leonardo, Meirelles, Julia, Melchor‐castro, Briggitthe, Mello, Zelia, Mello‐silva, Renato, Melo, André l., Melo, Caio V.V.D., Melo, Efigenia, Melo, José I.M., Mendes, Jone C.R., Mendes, Maria C.Q., Mendes‐silva, Ingrid, Meneguzzo, Thiago E.C., Menezes, Cristine, Menezes, Felipe G.P., Menini Neto, Luiz, Mentz, Lilian, Mesquita, Antônio l., Messias, Patrícia, Mezzonato‐pires, Ana, Michelangeli, Fabián, Miguel, João, Miguel, Laila, Milward‐de‐azevedo, Michaele, Miotto, Silvia T.S., Miranda, Cecília, Miranda, Vitor F.O., Mitchell, John, Molina, José M.P., Mondin, Cláudio, Monge, Marcelo, Monteiro, Daniele, Monteiro, Fernanda K.S., Monteiro, Raquel, Monteiro, Silvana H.N., Monteiro, Thiago, Monzoli, João V.L., Moore, Paloma G.P., Mora, Martha, Moraes, Marta, Moraes, Mónica, Morales, Juan, Morales, Matías, Moran, Robbin, Moreira, André l.C., Moreira, Andréia D.R., Moreira, Ariane, Moreira, Bianca, Moreira, Giselle l., Moreira, Kassio V.C., Moreira, Pablo F.F., Morokawa, Rosemeri, Moroni, Pablo, Mota, Aline, Mota, Michelle C.A., Mota, Nara F.O., Moura, Beryl E.L., Moura, Ingridy, Moura, Luíza, Moura, Ricardo l., Moura, Tania, Mundim, Júlia, Muniz, Francisca, Muniz, Leticia, Muniz Filho, Eduardo, Mynssen, Claudine, Nakajima, Jimi, Nascimento, Janaina G.A., Nascimento, José, Nascimento, Silvia, Nepomuceno, Francisco A.A., Nervo, Michelle, Nery, Eduardo, Neves, Beatriz, Nóbrega, Giseli, Nogueira, Matheus G.C., Nunes, Annelise, Nunes, Clebiana, Nunes, Teonildes, Oellgaard, Benjamin, O'Leary, Nataly, Oliveira, Adriana l.R., Oliveira, Ana C.S., Oliveira, Andreza G.S., Oliveira, Aron, Oliveira, Bárbara, Oliveira, Caetano, Oliveira, Fernanda M.C., Oliveira, Filipe G.A., Oliveira, Gleison, Oliveira, Gustavo, Oliveira, Hermeson, Oliveira, Iasmin l.C., Oliveira, Joésili C.P., Oliveira, José F.C., Oliveira, Juliana, Oliveira, Juliana R.P.M., Oliveira, Leticia G.R., Oliveira, Lilian F.A., Oliveira, Lorena, Oliveira, Luciana S.D., Oliveira, Marcia C.R., Oliveira, Márcio l.B., Oliveira, Marcos G.M., Oliveira, Marise H.V., Oliveira, Marla I.U., Oliveira, Regina, Oliveira, Renata, Oliveira, Reyjane, Oliveira, Rodrigo C.G., Oliveira, Sylvia, Oliveira, Ykaro, Orlandini, Priscila, Orsolano, Guilherme, Pacífico, Ricardo, Paglia, Isis, Paiva, Gabrielle C.P., Paixão, Liliane, Pastore, José F.B., Pastore, Mayara, Pastori, Tamara, Paucar, Jenny O.A., Paula‐souza, Juliana, Pederneiras, Leandro, Peichoto, Myriam, Peixoto, Ariane l., Pell, Susan, Pellegrini, Marco O.O., Pena, Nelson T.L., Pennington, Richard, Pereira, Amanda P.N., Pereira, Andreza S.S., Pereira, Jovani B.S., Pereira, Maria, Pereira, Paulo E.E., Pereira, Sidney, Pereira‐silva, Rafaela, Perez, Ana P.F., Pessoa, Cleiton, Pessoa, Clenia, Pessoa, Edlley, Pessoa, Maria C.R., Petrongari, Fernanda, Philbrick, Thomas, Pignal, Marc, Pimenta, Karena, Pinto, Rafael, Pioner, Natália, Pirani, José, Pizzardo, Raquel, Plos, Anabela, Ponce, Marta, Pontes, Juliana, Pontes, Ricardo A.S., Pontes, Tiago, Pontes‐pires, Aline, Pott, Vali, Prado, Thainá, Praia, Talita, Prance, Ghillean, Prange, Carolina, Prata, Ana P.N., Prochazka, Luana, Proença, Carolyn E.B., Prudêncio, Renato X.A., Pscheidt, Allan, Quaresma, Aclebia, Quaresma, Aline, Queiroz, George, Queiroz, Luciano, Queiroz, Rubens, Quinet, Alexandre, Ramos, Eliana, Ramos, Geraldo J.P., Rando, Juliana, Rebouças, Natanael, Reginato, Marcelo, Reis, Miguel M.R., Reis, Priscila, Reis‐silva, Genilson, Ribas, Osmar, Ribeiro, André R.O., Ribeiro, Carolina l., Ribeiro, José E.L.S., Ribeiro, Michel, Ribeiro, Pétala, Ribeiro, Rayane T.M., Ribeiro, Ricardo, Ribeiro, Rogério, Riina, Ricarda, Ritter, Mara, Rivadavia, Fernando, Rivera, Vanessa l., Rizzo, Beatriz, Rocha, Antônio E.S., Rocha, Lamarck, Rocha, Maria J.R., Rodrigues, Carine, Rodrigues, Christchellyn, Rodrigues, Izabella M.C., Rodrigues, Marianna, Rodrigues, Rodrigo Sampaio, Rodrigues, Rodrigo Schütz, Rodríguez, Juan F.C., Rodríguez, Pedro, Rollim, Isis, Romanini, Rebeca, Romão, Gerson, Romão, Marcos V.V., Romero, María, Romero, Rosana, Rosa, Bárbara, Rosa, Patrícia, Rosa, Priscila, Rosário, Alessandro, Rossa, Iago, Rossetto, Elson F.S., Rossi, Lucia, Rossini, Josiene, Royer, Carla, Rua, Gabriel, Sá, Cyl F.C., Saavedra, Mariana, Saka, Mariana, Sakuragui, Cassia, Salas, Roberto, Sales, Margareth, Salgado, Vanina, Salimena, Fátima R.G., Salino, Alexandre, Salvador, Rafael, Sampaio, Daniela, Sancho, Gisela, Sano, Paulo, Santana, Jéssica C.O., Santana, Karoline, Santana, Mariana, Santiago, Augusto C.P., Santos, Alessandra, Santos, Amanda P.B., Santos, Ana C.A.S., Santos, Andrea K.A., Santos, Carlos A.G., Santos, Emanuelle l., Santos, Felipe, Santos, Fernanda, Santos, João U.M., Santos, Karin, Santos, Leidiana l., Santos, Matheus, Santos, Otilene, Santos, Rafaela, Santos, Renata G.P., Santos, Thaíla V.A., Santos, Thiago, Santos, Vanessa, Santos‐silva, Fernanda, Santos‐silva, Juliana, São‐mateus, Wallace M.B., Saraiva, Deisy, Sarkinen, Tiina, Sartori, Ângela l.B., Sassone, Agostina, Sauthier, Luana, Scalon, Viviane, Scatigna, André, Schaefer, Juliana, Scheidegger, Najla M.B., Schliewe, Marcos, Schmidt, Eduard D.L., Schneider, Angelo, Schneider, Layla J.C., Schuettpelz, Eric, Schwartsburd, Pedro, Schwarz, Elizabeth, Scudeler, Ana l., Sebastiani, Renata, Secco, Ricardo, Secretti, Elisangela, Segalla, Rosane, Seleme, Elidiene, Semir, João, Senna, Luisa, Setubal, Robberson, Shimizu, Gustavo, Shirasuna, Regina, Silva, Adaíses S.M., Silva, Aline V.M., Silva, Amanda l., Silva, Anádria, Silva, Caroline C.A., Silva, Cassio, Silva, Christian, Silva, Cintia, Silva, Diego, Silva, Dilana, Silva, Fabio, Silva, Fernanda, Silva, Francismeire, Silva, Gabriel, Silva, Gledson, Silva, Guilherme, Silva, Gustavo H.L., Silva, João P.S., Silva, Juliana l., Silva, Juliene F.M., Silva, Leonardo, Silva, Lucas, Silva, Luciana, Silva, Luiza, Silva, Márcio, Silva, Marcio R.P., Silva, Marcos, Silva, Marcus F.O., Silva, Maria l.B., Silva, Maria S.D., Silva, Nilda M.F., Silva, Otávio l.M., Silva, Rafael, Silva, Raphael, Silva, Renata S.A., Silva, Renato, Silva, Ronaldo, Silva, Saura, Silva, Suelma, Silva, Tânia R.S., Silva, Tatiane, Silva, Thaynara, Silva, Wanderson l.S., Silva Filho, Pedro J.S., Silva‐castro, Milene, Silva‐cobra, Gisele, Silva‐gonçalves, Kelly, Silveira, Fernanda, Silveira, João, Silveira, Thamyres, Simão‐bianchini, Rosangela., Simões, Ana, Simões, André, Simon, Marcelo, Siniscalchi, Carolina, Siqueira, Carlos, Smidt, Eric, Smith, Alan, Smith, Nathan, Snak, Cristiane, Soares, Abel E.R., Soares, Arthur, Soares, Edson l.C., Soares, Kelen, Soares, Luanda, Soares, Marcos V.B., Soares, Maria l.C., Soares, Polyana, Soares, Raimundo, Sobrado, Sandra, Sobral, Marcos, Somner, Genise, Sothers, Cynthia, Sousa, Ana A.C., Sousa, Danilo J.L., Sousa, Francisco, Sousa, Gardene, Sousa, Hian C.F., Sousa, Leandro O.F., Sousa, Mayco W.S., Sousa, Valdeci, Souza, Aline, Souza, Bruno, Souza, Elnatan, Souza, Élvia, Souza, Filipe, Souza, Luzia, Souza, Marcelo, Souza, Maria A.D., Souza, Raquel M.B.S., Souza, Vinicius, Souza‐buturi, Fátima, Spina, Andréa, Stadnik, Aline M.S., Staggemeier, Vanessa, Stapf, María N.S., Stefano, Rodrigo, Stern, Stephen, Streher, Nathália, Suchoronczek, Andréia, Sundue, Michael, Takeuchi, Cátia, Tardivo, Rosângela, Taylor, Nigel, Teixeira, Michella D.R., Teles, Aristônio, Temponi, Livia, Thode, Verônica, Thomas, William, Tierno, Lorena, Tissot‐squalli, Mara, Toledo, Cássio A.P., Torke, Benjamin, Torres, Alicia, Torres, Daniela S.C., Torres‐leite, Filipe, Tozzi, Ana M.G.A., Trad, Rafaela, Trevisan, Rafael, Trovó, Marcelo, Tuler, Amélia, Tyrrell, Christopher, Udulutsch, Renata, Uribbe, Fernando, Vahl, Daiane, Valadares, Rodrigo, Valdemarin, Karinne, Valduga, Eduardo, Valente, Emilia, Valls, Jose F.M., van den Berg, Cássio, Vasconcelos, Liziane, Vasconcelos, Thaís N.C., Vasques, Diego, Vaz, Angela M.S.F., Versiane, Ana F.A., Versieux, Leonardo, Via Do Pico, Gisela, Viana, Pedro l., Vianna, Suelen, Vianna Filho, Marcelo D.M., Vidal, Kaio V.A., Vidal, João, Vieira, Fábio C.S., Vieira, Jaqueline, Vieira, João P.S., Vieira, Lucas l.A., Vieira, Tamara A.F., Vieira, Tiago l., Viera‐barreto, Jéssica, Vignoli‐silva, Márcia, Vilas Bôas‐bastos, Silvana, Villarreal, Juan, Vincent, Michael, Vita, Marcela, Vitta, Fabio, Viveros, Raquel, Viviurka, Fernanda, Vogel Ely, Cleusa, Volet, Danilo, Völtz, Rafael, Wallnöfer, Bruno, Wanderley, Maria G.L., Watanabe, Mauricio T.C., Weber, Philipy A.P., Weigend, Maximilian, Welker, Cassiano A.D., Windisch, Paulo, Yoshikawa, Vania, Zamengo, Henrique, Zanatta, Maria R.V., Zannin, Ana, Zappi, Daniela, Zeferino, Laís, Zelenski, Andréia, Zuloaga, Fernando, Zuntini, Alexandre, Maastricht Science Programme, RS: FSE MSP, JANAÍNA GOMES-DA-SILVA, Jardim Botânico do Rio de Janeiro, FABIANA L. R. FILARDI, MARIA REGINA V. BARBOSA, UFPB, JOSÉ FERNANDO A. BAUMGRATZ, CARLOS E. M. BICUDO, TACIANA BARBOSA CAVALCANTI, Cenargen, MARCUS A. N. COELHO, Prefeitura Municipal de Campinas, ANDREA F. COSTA, DENISE P. COSTA, Instituto de Pesquisas Jardim Botanico do Rio de Janeiro, EDUARDO COUTO DALCIN, Rio de Janeiro Botanical Garden Research Institute, PAULO LABIAK, UFPR, HAROLDO C. LIMA, Jardim Botânico do Rio de Janeiro, LÚCIA G. LOHMANN, USP, LEONOR C. MAIA, UFPE, VIDAL F. MANSANO, Jardim Botânico do Rio de Janeiro, MARIÂNGELA MENEZES, UFRJ, MARLI P. MORIM, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, CARLOS WALLACE N. MOURA, EIMEAR NIC LUGHADHA, DENILSON F. PERALTA, JEFFERSON PRADO, Instituto de Botânica de São Paulo, NÁDIA ROQUE, UFBA, JOÃO RENATO STEHMANN, LANA S. SYLVESTRE, UFRJ, LARISSA TRIERVEILER-PEREIRA, Instituto de Botânica, São Paulo, BRUNO MACHADO TELES WALTER, Cenargen, GERALDO ZIMBRÃO, RAFAELA C. FORZZA, Jardim Botânico do Rio de Janeiro., Instituto de Pesquisas Jardim Botanico do Rio de Janeiro (JBRJ), Universidade Federal da Paraiba (UFPB), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Herbier de Guyane - IRD, and Institut de Recherche pour le Développement (IRD [Guyane])
Subjects: Grandes Datos, Natural history collections, natural history collections, América del Sur, Plant Science, Repositories, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Colecciones de Historia Natural, Taxonomic impediment, Biodiversidad, Big data, flora, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, big data, taxonomic impedimen, Repositorios, Ecology, Evolution, Behavior and Systematics, biodiversity, Biodiversity, botany, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Impedimento Taxonómico, South America, collaboration, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, repositories, Brazil
Abstract: The shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiver sity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxo nomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world’s known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world’s most biodiverse countries. We further identify collection gaps and summarize future goals that extend be yond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still un equally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the coun try. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora. Fil: Gomes da Silva, Janaina. Jardim Botânico do Rio de Janeiro: Rio de Janeiro, Brasil Fil: Filardi, Fabiana L.R. Jardim Botânico do Rio de Janeiro; Brasil Fil: Barbosa, María Regina de V. Universidade Federal da Paraíba: Joao Pessoa; Brasil Fil: Baumgratz, José Fernando Andrade. Jardim Botânico do Rio de Janeiro; Brasil Fil: de Mattos Bicudo, Carlos Eduardo. Instituto de Botânica. Núcleo de Pesquisa em Ecologia; Brasil Fil: Cavalcanti, Taciana. Empresa Brasileira de Pesquisa Agropecuária Recursos Genéticos e Biotecnologia; Brasil Fil: Coelho, Marcus. Prefeitura Municipal de Campinas; Brasil Fil: Ferreira da Costa, Andrea. Federal University of Rio de Janeiro. Museu Nacional. Department of Botany; Brasil Fil: Costa, Denise. Instituto de Pesquisas Jardim Botanico do Rio de Janeiro; Brasil Fil: Dalcin, Eduardo C. Rio de Janeiro Botanical Garden Research Institute; Brasil Fil: Labiak, Paulo. Universidade Federal do Parana; Brasil Fil: Cavalcante de Lima, Haroldo. Jardim Botânico do Rio de Janeiro; Brasil Fil: Lohmann, Lucia. Universidade de São Paulo; Brasil Fil: Maia, Leonor. Universidade Federal de Pernambuco; Brasil Fil: Mansano, Vidal de Freitas. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro; Brasil. Jardim Botânico do Rio de Janeiro; Brasil Fil: Menezes, Mariângela. Federal University of Rio de Janeiro. Museu Nacional. Department of Botany; Brasil Fil: Morim, Marli. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro; Brasil Fil: Moura, Carlos Wallace do Nascimento. Universidade Estadual de Feira de Santana. Department of Biological Science; Brasil Fil: Lughadha, Eimear NIck. Royal Botanic Gardens; Reino Unido Fil: Peralta, Denilson. Instituto de Pesquisas Ambientais; Brazil Fil: Prado, Jefferson. Instituto de Pesquisas Ambientais; Brasil Fil: Roque, Nádia. Universidade Federal da Bahia; Brasil Fil: Stehmann, Joao. Universidade Federal de Minas Gerais; Brasil Fil: da Silva Sylvestre, Lana. Universidade Federal do Rio de Janeiro; Brasil Fil: Trierveiler-Pereira, Larissa. Universidade Estadual de Maringá. Departamento de Análises Clínicas e Biomedicina; Brasil Fil: Walter, Bruno Machado Teles. EMBRAPA Cenargen Brasília; Brasil Fil: Zimbrão, Geraldo. Universidade Federal do Rio de Janeiro; Brasil Fil: Forzza, Rafaela C. Jardim Botânico do Rio de Janeiro; Brasil Fil: Morales, Matías. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Morón. Facultad de Agronomía y Ciencias Agroalimentarias; Argentina
Published: 2021

12. Spatially balanced sampling methods are always more precise than random ones for estimating the size of aggregated populations

Author: Jan Perret, Anne Charpentier, Roger Pradel, Guillaume Papuga, Aurélien Besnard, 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)-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, 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 Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM)
Subjects: Spatial point process, Survey design, Plant population, Balanced acceptance sampling, Ecological Modeling, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Clustered population, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Autocorrelation, Sampling error, Population monitoring, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecology, Evolution, Behavior and Systematics
Abstract: International audience; Population size is a crucial parameter for both ecological research and conservation planning. When individuals are aggregated, estimating the size of a population through sampling raises methodological challenges, as the high variance between sampling units leads to imprecise estimates. Choosing the right sample design depending on the population aggregation level could improve the precision of estimates; however, this is difficult because studies comparing sample designs for aggregated populations have been limited to a few populations and sampling designs, so their results cannot be generalised. To address this gap, we combined simulations of spatial point populations and field counts of three plant species to compare the relative precision of estimates between three sampling methods: simple random sampling (SRS), systematic sampling (SYS) and spatially balanced sampling (SBS). Comparisons were performed on density and aggregation gradients for a range of sample sizes. Our simulations showed that SYS and SBS were always more precise than SRS when individuals were aggregated, reducing sampling variance up to 80% and 60%. The highest precision for estimating population size was always obtained when the average distance between sampling units equalled the diameter of the clusters (i.e. the groups of individuals). The difference in precision was similar for the natural populations, with sampling variance lowered by up to 75% (SYS) and 60% (SBS) compared to SRS. These findings lead us to recommend using SYS or SBS rather than SRS to estimate population size when individuals are spatially aggregated, as these consistently provide more precise estimates. Assessing cluster diameters in the field enables a quick assessment of the potential gain in precision to expect, and thus the best choice of sampling method depending on the trade-off between precision and field constraints.
Published: 2022

13. Domestication Syndrome in Dacryodes edulis (Burseraceae): Comparison of Morphological and Biochemical Traits between Wild and Cultivated Populations

Author: Franca Marcelle Meguem Mboujda, Marie-Louise Avana-Tientcheu, Stéphane Takoudjou Momo, Alix Mboukap Ntongme, Virginie Vaissayre, Laura N. Azandi, Stéphane Dussert, Hilaire Womeni, Jean-Michel Onana, Bonaventure Sonké, Christopher Tankou, Jérôme Duminil, University of Dschang, Diversité, adaptation, développement des plantes (UMR DIADE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), University of Yaoundé [Cameroun], Université de Yaoundé I, Université libre de Bruxelles (ULB), and ANR-16-IDEX-0006,MUSE,MUSE(2016)
Subjects: Evolutionary history, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Ecology, Fruit tree species, African plum tree, Plant Science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, domestication syndrome, evolutionary history, fruit tree species, non-timber forest products, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Domestication syndrome, Ecology, Evolution, Behavior and Systematics, Non-timber forest products
Abstract: For millennia, people have harvested fruits from the wild for their alimentation. Gradually, they have started selecting wild individuals presenting traits of interest, protecting and cultivating them. This was the starting point of their domestication. The passage from a wild to a cultivated status is accompanied by a modification of a number of morphological and genetic traits, commonly known as the domestication syndrome. We studied the domestication syndrome in Dacryodes edulis (G.Don) H.J.Lam (known as ‘African plum’ or ‘safoutier/prunier’), a socio-economically important indigenous fruit tree species in West and Central Africa. We compared wild and cultivated individuals for their sex distribution; flower, fruit and seed morphometric characteristics; seed germination temporal dynamic and fruit lipid composition. We found a higher percentage of male and male-hermaphrodite sexual types in wild populations than in cultivated ones; a lower fruit and seed mass in wild individuals; and similar mean time of germination, oil content and fatty acid composition between wild and cultivated individuals. Our results are interpreted in light of the presence of a domestication syndrome in D. edulis.
Published: 2022

14. Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction

Author: Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Amanda Navine, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Milan Šulc, Marek Hrúz, Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), California Institute of Technology (CALTECH), ADVanced Analytics for data SciencE (ADVANSE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université Paul-Valéry - Montpellier 3 (UPVM), Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Xeno-canto foundation, University of Hawai'i [Hilo], Google LLC, University of West Bohemia [Plzeň ], Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro, and European Project: 863463,Cos4Cloud project
Subjects: Large-scales, Living organisms, Biodiversity monitoring, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Biodiversity conservation, Species Distribution Prediction, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Species distributions, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Machine learning, LifeCLEF 2022, Monitoring system, Geographics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Machine-learning, Species identification, General publics
Abstract: International audience; Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants, animals and fungi is hindering the aggregation of new data and knowledge. Identifying and naming living organisms is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2022 edition proposes five data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: very large-scale plant identification, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: remote sensing based prediction of species, (iv) SnakeCLEF: snake species identification on a global scale, and (v) FungiCLEF: fungi recognition as an open set classification problem. This paper overviews the motivation, methodology and main outcomes of that five challenges.
Published: 2022

15. Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks

Author: Leblanc, César, Joly, Alexis, Lorieul, Titouan, Servajean, Maximilien, Bonnet, Pierre, Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), ADVanced Analytics for data SciencE (ADVANSE), Université Paul-Valéry - Montpellier 3 (UPVM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, and Martin Potthast
Subjects: Presenceonly data, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Aerial images, Species distribution modelling, Biodiversity, LifeCLEF, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], Environmental features
Abstract: International audience; Predicting which species are likely to be observed at a given location is an important issue both from a scientific point of view and for citizens interested in biodiversity. The aim of the GeoLifeCLEF challenge is to predict the presence of around 17K plant and animal species using 1.6M geo-localized observations from France and the US. Beyond GPS coordinates, additional covariates are provided for each observation: remote sensing imagery, land cover data, altitude data, bioclimatic data and pedologic data. We tested two simple approaches making use of every covariate available: (i) training separate models from them, testing them separately, and, (ii) combining those models together in the simplest manner, i.e., averaging their predicted scores. These simple methods allowed us to reach the fourth position on the private leaderboard of the competition. We also managed to improve our score after the end of the challenge by implementing a multi-modal convolutional neural network with separated features extractors.
Published: 2022

16. Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings

Author: Kahl, Stefan, Navine, Amanda, Denton, Tom, Klinck, Holger, Hart, Patrick, Glotin, Hervé, Goëau, Hervé, Vellinga, Willem-Pier, Planqué, Robert, Joly, Alexis, Cornell University [New York], University of Hawai'i [Hilo], Google LLC, Cornell Laboratory of Ornithology, Université de Toulon (UTLN), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Xeno-canto foundation, Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Subjects: bird, evaluation, call, species, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, passive acoustic monitoring, bioacoustics, benchmark, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, audio, collection, identification, song, LifeCLEF, fine-grained classification, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, retrieval
Abstract: International audience; As the "extinction capital of the world", Hawai'i has lost 68% of its native bird species, the consequences of which can harm entire ecosystems. With physical monitoring difficult, scientists have turned to sound recordings, as this approach could provide a passive, low labor, and cost-effective strategy for monitoring endangered bird populations. Current methods for processing large bioacoustic datasets involve manual review of each recording. This requires specialized training and prohibitively large amounts of time. Recent advances in machine learning have made it possible to automatically identify bird songs for common species with ample training data. However, it remains challenging to develop such tools for rare and endangered species. The main goal of the 2022 edition of BirdCLEF was to advance automated detection of rare and endangered bird species that lack large amounts of training data. The competition challenged participants to develop reliable analysis frameworks to detect and identify the vocalizations of rare bird species in continuous Hawaiian soundscapes utilizing limited training data.
Published: 2022

17. Overview of GeoLifeCLEF 2022: Predicting species presence from multi-modal remote sensing, bioclimatic and pedologic data

Author: Lorieul, Titouan, Cole, Elijah, Deneu, Benjamin, Servajean, Maximilien, Bonnet, Pierre, Joly, Alexis, Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), California Institute of Technology (CALTECH), ADVanced Analytics for data SciencE (ADVANSE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université Paul-Valéry - Montpellier 3 (UPVM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Subjects: evaluation, multi-modal data, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, benchmark, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, remote sensing imagery, environmental data, species distribution, LifeCLEF, presence-only data, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, species distribution models, biodiversity
Abstract: International audience; Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relationship between an environment and the species which may be found there. To advance research in this area, a large-scale machine learning competition called GeoLifeCLEF 2022 was organized. It relied on a dataset of 1.6 million observations from 17K species of animals and plants. These observations were paired with high-resolution remote sensing imagery, land cover data, and altitude, in addition to traditional lowresolution climate and soil variables. The main goal of the challenge was to better understand how to leverage remote sensing data to predict the presence of species at a given location. This paper presents an overview of the competition, synthesizes the approaches used by the participating groups, and analyzes the main results. In particular, we highlight the ability of remote sensing imagery and convolutional neural networks to improve predictive performance, complementary to traditional approaches.
Published: 2022

18. Non-destructive estimation of individual tree biomass : Allometric models, terrestrial and UAV laser scanning

Author: Benjamin Brede, Louise Terryn, Nicolas Barbier, Harm M. Bartholomeus, Renée Bartolo, Kim Calders, Géraldine Derroire, Sruthi M. Krishna Moorthy, Alvaro Lau, Shaun R. Levick, Pasi Raumonen, Hans Verbeeck, Di Wang, Tim Whiteside, Jens van der Zee, Martin Herold, Tampere University, Computing Sciences, Wageningen University and Research [Wageningen] (WUR), Universiteit Gent = Ghent University (UGENT), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Tampere [Finland], and Xidian University
Subjects: Allometric scaling model (ASM), Soil Science, Geology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, K11 - Génie forestier, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, PE&RC, Aboveground biomass (AGB), Unoccupied aerial vehicle laser scanning (UAV-LS), [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Laboratory of Geo-information Science and Remote Sensing, Earth and Environmental Sciences, K01 - Foresterie - Considérations générales, 111 Mathematics, cavelab, Laboratorium voor Geo-informatiekunde en Remote Sensing, Forest, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Terrestrial laser scanning (TLS), Quantitative structure modelling (QSM), Computers in Earth Sciences
Abstract: Calibration and validation of aboveground biomass (AGB) (AGB) products retrieved from satellite-borne sensors require accurate AGB estimates across hectare scales (1 to 100 ha). Recent studies recommend making use of non-destructive terrestrial laser scanning (TLS) based techniques for individual tree AGB estimation that provide unbiased AGB predictors. However, applying these techniques across large sites and landscapes remains logistically challenging. Unoccupied aerial vehicle laser scanning (UAV-LS) has the potential to address this through the collection of high density point clouds across many hectares, but estimation of individual tree AGB based on these data has been challenging so far, especially in dense tropical canopies. In this study, we investigated how TLS and UAV-LS can be used for this purpose by testing different modelling strategies with data availability and modelling framework requirements. The study included data from four forested sites across three biomes: temperate, wet tropical, and tropical savanna. At each site, coincident TLS and UAV-LS campaigns were conducted. Diameter at breast height (DBH) and tree height were estimated from TLS point clouds. Individual tree AGB was estimated for ≥170 trees per site based on TLS tree point clouds and quantitative structure modelling (QSM), and treated as the best available, non-destructive estimate of AGB in the absence of direct, destructive measurements. Individual trees were automatically segmented from the UAV-LS point clouds using a shortest-path algorithm on the full 3D point cloud. Predictions were evaluated in terms of individual tree root mean square error (RMSE) and population bias, the latter being the absolute difference between total tree sample population TLS QSM estimated AGB and predicted AGB. The application of global allometric scaling models (ASM) at local scale and across data modalities, i.e., field-inventory and light detection and ranging LiDAR metrics, resulted in individual tree prediction errors in the range of reported studies, but relatively high population bias. The use of adjustment factors should be considered to translate between data modalities. When calibrating local models, DBH was confirmed as a strong predictor of AGB, and useful when scaling AGB estimates with field inventories. The combination of UAV-LS derived tree metrics with non-parametric modelling generally produced high individual tree RMSE, but very low population bias of ≤5% across sites starting from 55 training samples. UAV-LS has the potential to scale AGB estimates across hectares with reduced fieldwork time. Overall, this study contributes to the exploitation of TLS and UAV-LS for hectare scale, non-destructive AGB estimation relevant for the calibration and validation of space-borne missions targeting AGB estimation. publishedVersion
Published: 2022

19. Assessing the Predictive Power of Democratic Republic of Congo’s National Spaceborne Biomass Map over Independent Test Samples

Author: Lamulamu, Augustin, Ploton, Pierre, Birigazzi, Luca, Xu, Liang, Saatchi, Sassan, Kibambe Lubamba, Jean-Paul, Université Libre de Kinshasa (ULK), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), University of California (UC), and ANR-17-EGAS-0002,3DForMod,Combining remote sensing and 3D forest modelling to improve tropical forests monitoring of GHC emissions(2017)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, satellite remote sensing, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, aboveground biomass, Democratic Republic of Congo, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, UNFCCC REDD+, national forest inventory
Abstract: International audience; Remotely sensed maps of forest carbon stocks have enormous potential for supporting greenhouse gas (GHG) inventory and monitoring in tropical countries. However, most countries have not used maps as the reference data for GHG inventory due to the lack of confidence in the accuracy of maps and of data to perform local validation. Here, we use the first national forest inventory (NFI) data of the Democratic Republic of Congo to perform an independent assessment of the country’s latest national spaceborne carbon stocks map. We compared plot-to-plot variations and areal estimates of forest aboveground biomass (AGB) derived from NFI data and from the map across jurisdictional and ecological domains. Across all plots, map predictions were nearly unbiased and captured c. 60% of the variation in NFI plots AGB. Map performance was not uniform along the AGB gradient, and saturated around c. 290 Mg ha−1, increasingly underestimating forest AGB above this threshold. Splitting NFI plots by land cover types, we found map predictions unbiased in the dominant terra firme Humid forest class, while plot-to-plot variations were poorly captured (R2 of c. 0.33, or c. 0.20 after excluding disturbed plots). In contrast, map predictions underestimated AGB by c. 33% in the small AGB woodland savanna class but captured a much greater share of plot-to-plot AGB variation (R2 of c. 0.41, or 0.58 after excluding disturbed plots). Areal estimates from the map and NFI data depicted a similar trend with a slightly smaller (but statistically indiscernible) mean AGB from the map across the entire study area (i.e., 252.7 vs. 280.6 Mg ha−1), owing to the underestimation of mean AGB in the woodland savanna domain (31.8 vs. 57.3 Mg ha−1), which was broadly consistent with the results obtained at the provincial level. This study provides insights and outlooks for country-wide AGB mapping efforts in the tropics and the computation of emission factors in Democratic Republic of Congo for carbon monitoring initiatives
Published: 2022

20. Mining rare Earth elements: Identifying the plant species most threatened by ore extraction in an insular hotspot

Author: Guillaume Lannuzel, Léa Pouget, David Bruy, Vanessa Hequet, Shankar Meyer, Jérôme Munzinger, Gildas Gâteblé, Institut Agronomique Néo-Calédonien (IAC), Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Herbier de Nouvelle-Calédonie (Herbier NOU), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), New Caledonia Plant Red List Authority Endemia, Villa Thuret (UEVT), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Projet ERMINE :CNRT Nickel et son Environnement, Nouméa, New Caledonia, and 4PS2017-CNRT.IAC/ERMINE
Subjects: narrow endemic taxa, new species, ultramafic substrates, primary biodiversity data, Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, nickel-mining threat, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, New Caledonia, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, conservation planning, data cleaning, Ecology, Evolution, Behavior and Systematics, biodiversity hotspots
Abstract: International audience; Conservation efforts in global biodiversity hotspots often face a common predicament: an urgent need for conservation action hampered by a significant lack of knowledge about that biodiversity. In recent decades, the computerisation of primary biodiversity data worldwide has provided the scientific community with raw material to increase our understanding of the shared natural heritage. These datasets, however, suffer from a lot of geographical and taxonomic inaccuracies. Automated tools developed to enhance their reliability have shown that detailed expert examination remains the best way to achieve robust and exhaustive datasets. In New Caledonia, one of the most important biodiversity hotspots worldwide, the plant diversity inventory is still underway, and most taxa awaiting formal description are narrow endemics, hence by definition hard to discern in the datasets. In the meantime, anthropogenic pressures, such as nickel-ore mining, are threatening the unique ultramafic ecosystems at an increasing rate. The conservation challenge is therefore a race against time, as the rarest species must be identified and protected before they vanish. In this study, based on all available datasets and resources, we applied a workflow capable of highlighting the lesser known taxa. The main challenges addressed were to aggregate all data available worldwide, and tackle the geographical and taxonomic biases, avoiding the data loss resulting from automated filtering. Every doubtful specimen went through a careful taxonomic analysis by a local and international taxonomist panel. Geolocation of the whole dataset was achieved through dataset cross-checking, local botanists’ field knowledge, and historical material examination. Field studies were also conducted to clarify the most unresolved taxa. With the help of this method and by analysing over 85,000 data, we were able to double the number of known narrow endemic taxa, elucidate 68 putative new species, and update our knowledge of the rarest species’ distributions so as to promote conservation measures.
Published: 2022

21. Graph theory applied to agroforestry system co-design

Author: Lemière, Laetitia, Jaeger, Marc, Subsol, Gérard, Gosme, Marie, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Agrosystèmes Biodiversifiés (UMR ABSys), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Image & Interaction (ICAR), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and Brohard, Yannick
Subjects: [SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy, Design, graph theory, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, Augmented reality, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Visualisation, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, Agroforestry, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: International audience; Designing agroforestry systems is a complex task due to the numerous elements and their multiple interactions. Co-design workshops are useful to overcome these difficulties by gathering people from different disciplines. But these workshops use tools that do not provide a standardised representation of agroforestry systems nor the provision of ecosystem services. Our objective is thus to develop a conceptual information framework based on graphs that allows modeling the agroforestry system and its ecosystem functions. In the first step, we infer a topological graph from the position of the physical objects representing system components: trees, crops, tree lines, and their spatial relationships (e.g. adjacency, inclusion...). We represent then the relationship between ecosystem structure and functioning as a graph. Applying graph technics such as subgraph research, we can estimate whether a specific system (graph) can support a specific ecosystem function (subgraph). This results in a new graph-based model to describe both the spatial and functional relationships between elements of agroforestry systems. Figure 1 illustrates the different steps to apply this model to a simple agroforestry system: 1. Create a system mock-up with physical objects 2. Acquire the scene by a camera and identify physical objects 3. Automatically extract the topological graph 4. Perform subgraphs research to identify functions 5. Visualize the scene with both realistic trees and schematic representations of ecosystem functions In the future, this work will be combined with augmented reality to visualize the agroforestry system and the production of ecosystem services directly on the physical mock-up. Thus, our work will improve the efficiency of co-design workshop by (i) formalizing the knowledge on the relationship between structure and function in agroforestry systems and, by (ii) sharing this information with non-specialists in a visual way, while allowing intuitive interaction through the physical mock-up. Thus, the designed system answers farmer's needs better.
Published: 2022

22. Non-structural carbohydrates and morphological traits of leaves, stems and roots from tree species in different climates

Author: Guangqi Zhang, Pascale Maillard, Zhun Mao, Loic Brancheriau, Julien Engel, Bastien Gérard, Claire Fortunel, Jean-Luc Maeght, Jordi Martínez-Vilalta, Merlin Ramel, Sophie Nourissier-Mountou, Stéphane Fourtier, Alexia Stokes, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), BioWooEB (UPR BioWooEB), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), CREAF - Centre for Ecological Research and Applied Forestries, Universitat Autònoma de Barcelona (UAB), and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: Tropical Climate, Temperate, Angiosperms, F40 - Écologie végétale, Carbohydrates, Water, General Medicine, Mediterranean, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, F50 - Anatomie et morphologie des plantes, Carbon, General Biochemistry, Genetics and Molecular Biology, Trees, Plant Leaves, Fibers, Tropical, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Root, Xylem, Non-structural carbohydrates, Parenchyma, Vessels, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Functional traits
Abstract: Objectives Carbon fixed during photosynthesis is exported from leaves towards sink organs as non-structural carbohydrates (NSC), that are a key energy source for metabolic processes in trees. In xylem, NSC are mostly stored as soluble sugars and starch in radial and axial parenchyma. The multi-functional nature of xylem means that cells possess several functions, including water transport, storage and mechanical support. Little is known about how NSC impacts xylem multi-functionality, nor how NSC vary among species and climates. We collected leaves, stem and root xylem from tree species growing in three climates and estimated NSC in each organ. We also measured xylem traits linked to hydraulic and mechanical functioning. Data description The paper describes functional traits in leaves, stems and roots, including NSC, carbon, nitrogen, specific leaf area, stem and root wood density and xylem traits. Data are provided for up to 90 angiosperm species from temperate, Mediterranean and tropical climates. These data are useful for understanding the trade-offs in resource allocation from a whole-plant perspective, and to better quantify xylem structure and function related to water transportation, mechanical support and storage. Data will also give researchers keys to understanding the ability of trees to adjust to a changing climate.
Published: 2022

23. A land plant saga: Tribute to Jean Galtier – Introduction

Author: Anne-Laure Decombeix, Brigitte Meyer-Berthaud, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Anne-Laure Decombeix, and Brigitte Meyer-Berthaud
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Fossils, Paleontology, Paleobotany, Plants, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Ecology, Evolution, Behavior and Systematics
Abstract: International audience; This special issue dedicated to Jean Galtier celebrates the more than 60 years he devoted to palaeobotany. Jean Galtier is recognized as an international authority on Paleozoic floras and paleoenvironments. His expertise in early ferns and early seed plants is acknowledged worldwide.
Published: 2022

24. Effect of tree demography and flexible root water uptake for modeling the carbon and water cycles of Amazonia

Author: Emilie Joetzjer, Fabienne Maignan, Jérôme Chave, Daniel Goll, Ben Poulter, Jonathan Barichivich, Isabelle Maréchaux, Sebastiaan Luyssaert, Matthieu Guimberteau, Kim Naudts, Damien Bonal, Philippe Ciais, Systems Ecology, Earth and Climate, 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), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), 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), NASA Goddard Space Flight Center (GSFC), Universidad Austral de Chile, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Vrije Universiteit Amsterdam [Amsterdam] (VU), Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), and European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Root water uptake, Tropical forest, Ecological Modeling, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Land surface model, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Biogeochemical cycles, Demography
Abstract: International audience; Amazonian forest plays a crucial role in regulating the carbon and water cycles in the global climate system. However, the representation of biogeochemical fluxes and forest structure in dynamic global vegetation models (DGVMs) remains challenging. This situation has considerable implications to simulate the state and dynamics of Amazonian forest. This study aims at simulating the dynamic of the evapotranspiration (ET), productivity (GPP), biomass (AGB) and forest structure of wet tropical forests in the Amazon basin using the updated ORCHIDEE land surface model. The latter is improved for two processes: stand structure and demography, and plant water uptake by roots. Stand structure is simulated by adapting the CAN version of ORCHIDEE, originally developed for temperate forests. Here, we account for the permanent recruitment of young individual trees, the distribution of stand level growth into 20 different cohorts of variable diameter classes, and mortality due to asymmetric competition for light. Plant water uptake is simulated by including soil-to-root hydraulic resistance (RS). To evaluate the effect of the soil resistance alone, we performed factorial simulations with demography only (CAN) and both demography and resistance (CAN-RS). AGB, ET and GPP outputs of CAN-RS are also compared with the standard version of ORCHIDEE (TRUNK) for which eco-hydrological parameters were tuned globally to fit GPP and evapotranspiration at flux tower sites. All the model versions are benchmarked against in situ and regional datasets. We show that CAN-RS correctly reproduce stand level structural variables (as CAN) like diameter classes and tree densities when validated using in-situ data. Besides offering the key advantage to simulate forest's structure, it also correctly simulates ET and GPP and improves fluxes spatial patterns when compared to TRUNK. With the new formulation of soil water uptake, which is driven by soil water availability rather than root-biomass, the simulated trees preferentially use water in the deepest soil layers during the dry seasons. This improves the seasonality of ET and GPP compared to CAN, especially on clay soils for which the soil moisture potential drops rapidly in the dry season. Nevertheless, since demography parameters in CAN-RS are constant for all evergreen tropical forests, spatial variability of AGB and basal area across the Amazon remains too uniform compared to observations, and are very comparable to the TRUNK. Additional processes such as climate driven mortality and phosphorus limitation on growth leading to the prevalence of species with different functional traits across the Amazon need to be included in the future development of this model.
Published: 2022

25. Impact of end‐of‐century climate change on priority non‐timber forest product species across tropical Africa

Author: Biowa Eldys N. Amoussou, Rodrigue Idohou, Romain Glèlè Kakaï, Gilles Dauby, Thomas L. P. Couvreur, Université d’Abomey-Calavi = University of Abomey Calavi (UAC), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Diversité, adaptation, développement des plantes (UMR DIADE), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Representative concentration pathways, Species distribution modelling, Dispersal, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Ecology, Evolution, Behavior and Systematics, NTFP
Abstract: International audience; Plant species providing Non-Timber Forest Products (NTFP) are economically important across Africa. How this heterogeneous and understudied resource will respond to ongoing climate change remains understudied. Here, we modelled the impact of end-of-the-century climate change on the distribution of 40 NTFP plant species distributed across tropical Africa. Occurrence data were extracted from a taxonomically verified database and three different ecological niche modelling algorithms were used. Species distributions were modelled under two end-of-century (2085) climate change models (RCP4.5 and RCP8.5) and two dispersal scenarios (limited and expanded). We show that for the 40 NTFP plant species studied here, different responses are modelled with some species gaining in suitable habitats (47.5%–65% under RCP4.5), whereas others will lose in suitable habitats (35%–52.5% under RCP4.5). Nevertheless, we also show that our results vary between the different methods used, such as modelling algorithms, dispersal scenarios and general circulation models. Overall, our results suggest that the response of NTFP species to climate change depends on their distribution, ecology and dispersal ability.
Published: 2022

26. Local influence of climate on grapevine: an analytical process involving a functional and Bayesian exploration of farm data time series synchronised with an eGDD thermal index

Author: Laurent, Cécile, Le Moguédec, Gilles, Taylor, James, Scholasch, Thibaut, Tisseyre, Bruno, Metay, Aurélie, Fruition Sciences SAS [Montpellier], Agrosystèmes Biodiversifiés (UMR ABSys), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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), Technologies et Méthodes pour les Agricultures de demain (UMR ITAP), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), This work was supported by the French National Research Agency under the Investments for the Future Program, referred to as ANR-16-CONV-0004. The authors also thank the commercial vineyards that provided the data for this article., and ANR-16-CONV-0004,DIGITAG,Institut Convergences en Agriculture Numérique(2016)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, yield development, Vitis Vinifera L, operational conditions, weather, temperature, farm data, Bayesian functional Linear regression with Sparse Steps functions (BLiSS), [MATH]Mathematics [math], [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, extended Growing Degree Days (eGDD), [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy
Abstract: This article is published in cooperation with Terclim 2022 (XIVth International Terroir Congress and 2nd ClimWine Symposium), 3-8 July 2022, Bordeaux, France.; International audience; Climate influence on grapevine physiology is prevalent and this influence is expected to increase with climate change. Climate influence on grapevine physiology can vary depending on the terroir. A better understanding of these local terroir variations is likely to be achieved with analyses that use local data; i.e., farm/vineyard data. Thus, the challenge lies in exploiting farm data to enable grape growers to understand their own terroir and consequently adapt their practices to the local conditions. In such a context, this article proposes an analytical process to site-specifically study climate influence on grapevine physiology by focusing on time series of the weather data often contained in farm data sets. This article focuses on temperature and precipitation influence on yield in the form of a case study. The analytical process includes the Extended Growing Degree Days (eGDD) and the Bayesian functional Linear regression with Sparse Steps functions (BLiSS) methods in order to detect site-specific periods of strong climate influence on grapevine yield. It uses data from three commercial vineyards situated in the Bordeaux region (France), California (USA) and Israel. In general, the periods of climate influence on grapevine yield detected for the three vineyards identified the same stages of yield development, which have already been studied in the scientific literature. However, some vineyard differences were observed, including: i) different periods of influence associated with a given stage of yield development between the vineyards, ii) different influential weather variables between the three vineyards for a given period, and iii) differing duration of the period of influence associated with a given stage of yield development between the vineyards. These results show the potential of the proposed analytical process for analysing the time series of farm weather data in order to extract site-specific climate indicators of grapevine yield.
Published: 2022

27. Lien entre les traits structurels, les glucides non structurels et les stratégies écologiques des arbres sous différents climats

Author: Zhang, Guangqi, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Université de Montpellier (UM), FRA, Alexia Stokes, and Pascale Maillard, co-directrice
Subjects: Trade-offs, Structure-function, Glucides non structuraux, Climate, Traits fonctionnel, Climat, Stockage, Structure-fonction, Storage, Densité du bois, Economics spectrum, wood density, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Radial and axial parenchyma, Functional trait, Spectre économique, Parenchyme radial et axial, Xylem anatomy, Anatomie du xylème, Compromis, Non-structural carbohydrate
Abstract: Functional traits which impact plant fitness indirectly via their effects on growth, reproduction and survival are considered the widely accepted tool for studying the plant strategies. As an important functional trait, non-structural carbohydrates (NSC) are considered as indicator of balance between carbon sources and sinks in plants and reflect the adaptive strategies of plants. In xylem, NSC are mostly stored as soluble sugars and starch in radial and axial parenchyma (RAP). The design of the xylem space of woody plant species also plays important roles in tree growth and multiple functions including water transport, mechanical integrity and carbohydrate storage. However, little is known about how NSC impacts xylem multi-functionality, nor how the relationship between NSC and parenchyma fractions vary among species and climates. Whether NSC content in different organs coordinates with traits linked to the economic specrum, that design plant ecological strategies, is still less known. In this thesis, we firstly carried out a systematic review by compiling a database of NSC, RAP, wood density and maximum tree height data for 68 tree species to explore the relationships among these traits, especially the relationship between NSC and parenchyma fraction. Then, we collected leaves, stems and roots from 90 tree species in temperate, Mediterranean and tropical climates and measured functional traits including NSC, carbon, nitrogen, leaf mass per area, stem and root wood density and xylem anatomical traits to disentangle how NSC and xylem traits are linked to tree physiological processes and ecological strategies and explore the trade-off of xylem structure and function. We found NSC content was positively correlated with RAP fractions confirming the important role of stem parenchyma cells in NSC storage. The analysis of evolutionary relationships demonstrated that RAP fractions and NSC content were always closely related, suggesting that RAP can act as a reliable proxy for potential NSC storage capacity in tree stems. We also found that all xylem traits showed marked interspecific variation and varied significantly across climates and xylem arrangement types. Wood density was positively correlated with total parenchyma fractions in both stems and roots, while it was negatively correlated with vessel fraction, vessel mean diameter and specific xylem hydraulic conductivity (SXHC), which revealed a trade-off between xylem mechanical support and hydraulic conductivity. Moreover, there were positive correlation patterns between NSC and SXHC in stems, but negative correlation in roots, suggesting hydraulic-storage strategies differed between these organs, with more closer ties existing in the stem than in root. In addition, our results revealed there was a covariation between leaf NSC content and leaf economics traits, whereas the variations between woody organs, especially stem NSC content and economics traits were largely decoupled. Tree ecological strategies were influenced by climate and species with different leaf habit exhibit different resource strategies: deciduous species tended to gather on acquisitive side, whereas evergreen species gathered more on conservative side. The results presented in the thesis have not only broadened the scope of our knowledge about the storage and physiology of NSC in trees, but also provided insight on functional strategies related design of xylem space in angiosperms, especially across a broad range of species and climates.; Les traits fonctionnels qui ont un impact indirect sur l'aptitude des plantes par le biais de leurs effets sur la croissance, la reproduction et la survie sont considérés comme un outil largement accepté pour étudier les stratégies des plantes. En tant que trait fonctionnel important, les glucides non structurels (NSC) sont considérés comme des indicateurs de l'équilibre entre les sources. Dans le xylème, les NSC sont principalement stockés sous forme de sucres solubles et d'amidon dans le parenchyme radial et axial (RAP). La construction du xylème des espèces végétales ligneuses joue également des rôles importants dans la croissance des arbres et de multiples fonctions, notamment le transport de l'eau, l'intégrité mécanique et le stockage des glucides. Cependant, on sait peu de choses sur l'impact de NSC sur la multifonctionnalité du xylème, ni sur la manière dont la relation entre les NSC et les fractions du parenchyme varie selon les espèces et les climats. On sait encore moins si la teneur en NSC dans les différents organes est coordonnée avec les traits liés au spectre économique, qui conçoivent les stratégies écologiques des plantes. Dans cette thèse, nous avons d'abord effectué une revue systématique de la littérature internationale sur le sujet et compilé une base de données de NSC, RAP, densité du bois et hauteur maximale de l'arbre pour 68 espèces d'arbres afin d'explorer les relations entre ces traits, en particulier la relation entre NSC et fraction parenchyme. Nous avons ensuite prélevé des feuilles, des tiges et des racines de 90 espèces d’arbres dans des climats tempérés, méditerranéens et tropicaux et mesuré les caractéristiques fonctionnelles, afin de démêler la façon dont les caractéristiques des NSC et du xylème sont liées aux processus physiologiques et aux stratégies écologiques des arbres et d'explorer le compromis entre la structure et la fonction du xylème. Nous avons constaté que la teneur en NSC était positivement corrélée aux fractions RAP, ce qui confirme le rôle important des cellules du parenchyme du tronc dans le stockage des NSC. Nous avons également constaté que tous les traits du xylème présentaient une variation interspécifique marquée et variaient de manière significative entre les climats et les types d'agencement du xylème. La densité du bois était positivement corrélée avec les fractions totales du parenchyme dans le tronc et la racine, tandis qu'elle était négativement corrélée avec la fraction des vaisseaux, le diamètre moyen des vaisseaux et la conductivité hydraulique spécifique du xylème (SXHC), ce qui a révélé un compromis entre le support mécanique du xylème et la conductivité hydraulique. De plus, il y avait des corrélation positive entre NSC et SXHC dans les troncs, mais une corrélation négative dans les racines, suggérant que les stratégies de stockage hydraulique différaient entre ces deux organes, avec des liens plus étroits existant dans le tronc que la recine. En outre, nos résultats ont révélé une covariation entre la teneur en NSC des feuilles et les caractéristiques économiques des feuilles, tandis que la variation entre les organes ligneux, en particulier la teneur en NSC des tiges et les caractéristiques économiques, était largement découplée. Les stratégies écologiques des arbres ont été influencées par les climats et les espèces ayant des caractéristiques foliaires différentes présentent des stratégies de ressources différentes: les espèces à feuilles caduques ont tendance à se rassembler du côté de l'acquisition, tandis que les espèces à feuilles persistantes ont tendance à se rassembler du côté de la conservation. Les résultats présentés dans la thèse ont non seulement élargi le champ de nos connaissances sur le stockage et la physiologie des NSC chez les arbres, mais ont également fourni un aperçu des stratégies fonctionnelles liées à la conception de l'espace du xylème chez les angiospermes, en particulier à travers une large gamme d'espèces et de climats.
Published: 2022

28. The maximum and the minimum: two new species of Tovomita Aubl. (Clusiaceae) from the Guiana Shield with an unusual number of stamens

Author: Julien Engel, Jean-François Molino, Lucas C. Marinho, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Herbier de Guyane - IRD, Institut de Recherche pour le Développement (IRD [Guyane]), Universidade Federal do Maranhão = Federal University of Maranhão (UFMA), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), and ANR-11-INBS-0004,E-RECOLNAT,Valorisation de 350 ans de collections d'histoire naturelle : une plateforme numérique(2011)
Subjects: Malpighiales, Biodiversity, Plant Science, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, French Guiana, New species, Guttiferae, Tracheophyta, Magnoliopsida, Guiana Shield, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Clusiaceae, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Plantae, Clusieae, Taxonomy
Abstract: International audience; Two new species of Tovomita Aubl. (Clusiaceae) from the Guiana Shield are described and illustrated. Tovomita maxima Molino & J.Engel, sp. nov., known from French Guiana, Guyana and Brazil, stands out by its large size (up to 30 m high), large leaves with eucamptodromous venation, calyptrate bracteoles and an unusual variation in the number of stamens (74-145). Tovomita saulensis J.Engel & Molino, sp. nov., probably endemic to central French Guiana, is an understory tree with small leaves with brochidodromous venation and flowers with few stamens (9-15). Illustrations, descriptions, photographs in vivo, a preliminary conservation status, distribution map and comments on the morphology of related species are provided.
Published: 2022

29. Re-investigation of Stauroxylon beckii, an early Carboniferous species with possible Devonian relationships

Author: Durieux, Thibault, Decombeix, Anne-Laure, Harper, Carla J., Galtier, Jean, Trinity College Dublin, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM)
Subjects: Palaeobotany, Carboniferous, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], Stauroxylon beckii, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy
Abstract: International audience
Published: 2022

30. Reinvestigating the late Devonian plant bearing localities of Co. Kerry and Co. Wexford

Author: Decombeix, Anne-Laure, Durieux, Thibault, Harper, Carla J., Meyer-Berthaud, Brigitte, Prestianni, Cyrille, Ramel, Merlin, Horajska-Shaikh, Malgorzata, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Trinity College Dublin, and Royal Belgian Institute of Natural Sciences (RBINS)
Subjects: Palaeobotany, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy
Abstract: International audience; Our understanding vegetation changes around the devonian-carbonierou boundary remains limited by the smell number of plant-bearing deposits close in age to the boundary.
Published: 2022

31. A new Givetian assemblage of permineralized plants from Anti-Atlas, Morocco

Author: Meyer-Berthaud, Brigitte, Becker, Ralph, Bert, Candys, Decombeix, Anne-Laure, El Hassani, Ahmed, Klug, Christian, Lacan, Marion, Ramel, Merlin, Tahiri, Abdelfatah, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Paläontologisches Institut und Museum, Universität Zürich [Zürich] = University of Zurich (UZH), and Université Mohammed V de Rabat [Agdal] (UM5)
Subjects: Morocco, Gondwana, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], Devonian, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Permineralized plant
Abstract: International audience; Despite its importance for the evolution of vascular plants, Gondwana, the largest palaeocontinent in the Devonian, is the least studied for its floras. This talk is part of a long-term project initiated in Montpellier on Devonian plant assemblages from Morocco, on the northern edge of Gondwana. This project aims to document their composition, evaluate their diversity and discuss their relationship with contemporary floras from Laurussia. We report the discovery of a new permineralized plant assemblage at Oum el Jerane, a locality in a palaeoregion of eastern Anti-Atlas corresponding to the Tafilalt Platform. The fossiliferous deposit is marine and dated to the upper Givetian (Middle Devonian) from its rich invertebrate fauna. Oum el Jerane and Imouzzer-du-Kandar, another Moroccan site with Middle Devonian strata located further north in the Middle Atlas Mountains, host the oldest deposits in North Africa containing anatomically preserved plant remains that have been studied systematically. Specimens from Oum El Jerane are limonitized and small. They measure 4‒14 mm wide and do not exceed 30 mm in length. Apart from a small lycophyte strobilus, all other remains consist of axes referable to Aneurophytales, Pseudosporochnales and Iridopteridales. In this last order, the best-preserved axis is assignable to Arachnoxylon sp. Assemblages combining basal fern allies and aneurophytalean progymnosperms are usual in the Givetian localities of Europe, the eastern USA, and Venezuela. These occurrences indicate that floral exchange occurred between northern Gondwana and Laurussia. The lack of complete specific correspondence of the Oum el Jerane plants with those of Laurussia results from the incompleteness of the fossils. It may also suggest a certain level of provinciality of the Moroccan flora.
Published: 2022

32. Global relationships in tree functional traits

Author: Daniel S. Maynard, Lalasia Bialic-Murphy, Constantin M. Zohner, Colin Averill, Johan van den Hoogen, Haozhi Ma, Lidong Mo, Gabriel Reuben Smith, Alicia T. R. Acosta, Isabelle Aubin, Erika Berenguer, Coline C. F. Boonman, Jane A. Catford, Bruno E. L. Cerabolini, Arildo S. Dias, Andrés González-Melo, Peter Hietz, Christopher H. Lusk, Akira S. Mori, Ülo Niinemets, Valério D. Pillar, Bruno X. Pinho, Julieta A. Rosell, Frank M. Schurr, Serge N. Sheremetev, Ana Carolina da Silva, Ênio Sosinski, Peter M. van Bodegom, Evan Weiher, Gerhard Bönisch, Jens Kattge, Thomas W. Crowther, Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Estonian University of Life Sciences (EMU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Universidade Federal de Pernambuco [Recife] (UFPE), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, DANIEL S. MAYNARD, LALASIA BIALIC-MURPHY, CONSTANTIN M. ZOHNER, COLIN AVERILL, JOHAN VAN DEN HOOGEN, HAOZHI MA, LIDONG MO, GABRIEL REUBEN SMITH, ALICIA T. R. ACOSTA, ISABELLE AUBIN, ERIKA BERENGUER, COLINE C. F. BOONMAN, JANE A. CATFORD, BRUNO E. L. CERABOLINI, ARILDO S. DIAS, Goethe University, ANDRÉS GONZÁLEZ-MELO, PETER HIETZ, CHRISTOPHER H. LUSK, AKIRA S. MORI, ÜLO NIINEMETS, VALÉRIO D. PILLAR, BRUNO X. PINHO, JULIETA A. ROSELL, FRANK M. SCHURR, SERGE N. SHEREMETEV, ANA CAROLINA DA SILVA, ENIO EGON SOSINSKI JUNIOR, CPACT, PETER M. VAN BODEGOM, EVAN WEIHER, GERHARD BÖNISCH, JENS KATTGE, THOMAS W. CROWTHER., Maynard, Daniel S, Bialic-Murphy, Lalasia, Zohner, Constantin M, Averill, Colin, van den Hoogen, Johan, Ma, Haozhi, Mo, Lidong, Smith, Gabriel Reuben, Acosta, A. T. R., Aubin, Isabelle, Berenguer, Erika, Boonman, Coline C F, Catford, Jane A, Cerabolini, Bruno E L, Dias, Arildo S, González-Melo, André, Hietz, Peter, Lusk, Christopher H, Mori, Akira S, Niinemets, Ülo, Pillar, Valério D, Pinho, Bruno X, Rosell, Julieta A, Schurr, Frank M, Sheremetev, Serge N, da Silva, Ana Carolina, Sosinski, Ênio, van Bodegom, Peter M, Weiher, Evan, Bönisch, Gerhard, Kattge, Jen, and Crowther, Thomas W
Subjects: Multidisciplinary, Ecology, Ecophysiology, Biodiversidade, General Physics and Astronomy, Aquatic Ecology, Floresta, General Chemistry, Árvore, Biodiversity, Forests, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Plant Roots, Wood, General Biochemistry, Genetics and Molecular Biology, Trees, Plant Leaves, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Biogeography, Seeds, Plant Bark, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: Due to massive energetic investments in woody support structures, trees are subject to unique physiological, mechanical, and ecological pressures not experienced by herbaceous plants. Despite a wealth of studies exploring trait relationships across the entire plant kingdom, the dominant traits underpinning these unique aspects of tree form and function remain unclear. Here, by considering 18 functional traits, encompassing leaf, seed, bark, wood, crown, and root characteristics, we quantify the multidimensional relationships in tree trait expression. We find that nearly half of trait variation is captured by two axes: one reflecting leaf economics, the other reflecting tree size and competition for light. Yet these orthogonal axes reveal strong environmental convergence, exhibiting correlated responses to temperature, moisture, and elevation. By subsequently exploring multidimensional trait relationships, we show that the full dimensionality of trait space is captured by eight distinct clusters, each reflecting a unique aspect of tree form and function. Collectively, this work identifies a core set of traits needed to quantify global patterns in functional biodiversity, and it contributes to our fundamental understanding of the functioning of forests worldwide.Understanding patterns in woody plant trait relationships and trade-offs is challenging. Here, by applying machine learning and data imputation methods to a global database of georeferenced trait measurements, the authors unravel key relationships in tree functional traits at the global scale.
Published: 2022

33. Prioritization of natural habitats: A methodological framework applied to the French Mediterranean

Author: Louise Turpin, Katia Diadema, Arnault Lalanne, Maëlle Le Berre, Guillaume Papuga, Olivier Argagnon, Conservatoire Botanique National Méditerranéen de Porquerolles, Géoarchitecture : Territoires, Urbanisation, Biodiversité, Environnement, Université de Rennes (UR)-Université de Brest (UBO), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM)
Subjects: Habitat, Habitats Directive, RESEDA-Flore, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Ecology, Conservation, Ranking, Mediterranean, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Nature and Landscape Conservation
Abstract: International audience; Long-term preservation of habitats has become a cornerstone of modern conservation policies. As resources allocated to conservation actions are often limited, developing relevant prioritizing methods is necessary. Although many studies have been published on species prioritization, habitats have been the subject of less research. This study aims to develop a simple prioritization method suitable for habitats and appropriate to any typology. We analyzed literature to select criteria that would be the most accurate to rank habitats. Our final method consists in calculating a score based on four criteria: legal obligation, territorial responsibility, conservation condition and an extra criterion designed to fit local interests and objectives. The method is applied on habitats listed in Annex I of the Habitats Directive (92/43/EEC) on the territory of RESEDA-Flore, a network of stakeholders involved in the conservation of Mediterranean flora. Results highlight that dune habitats show the highest conservation values, while rocky habitats and caves obtain relatively low scores. At the top of the ranking, Mediterranean temporary ponds (3170), Dunes with Pinus pinea and/or Pinus pinaster forests (2270) and Coastal dunes with Juniperus spp. (2250) appear to be a high priority. These results can be used to design and implement habitat conservation strategies in the French Mediterranean.
Published: 2022

34. Additional taxonomic and nomenclatural notes on New Caledonian Eugenia (Myrtaceae)

Author: Neil Snow, John W. Dawson, Jérôme Munzinger, Martin W. Callmander, Pennsylvania State University (Penn State), Penn State System, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), and Conservatoire et Jardin Botaniques
Subjects: Nomenclature, Myrtaceae, Myrtales, Plant Science, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Eugenia, Tracheophyta, Magnoliopsida, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, New Caledonia, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Plantae, Ecology, Evolution, Behavior and Systematics, Taxonomy
Abstract: International audience; Snow, N., J.W. Dawson†, J. Munzinger & M.W. Callmander (2022). Additional taxonomic and nomenclatural notes on New Caledonian Eugenia (Myrtaceae). Candollea 77: 71–79. In English, English and French abstracts. Ongoing taxonomic studies on Eugenia L. (Myrtaceae) in New Caledonia revealed a number of taxonomic and nomenclatural issues in need of clarification. A new synonymy is proposed: Schizocalyx neocaledonica Brongn. & Gris is reduced to synonymy under Eugenia ovigera Brongn. & Gris. A new name E. pubiflora N. Snow & Callm. is proposed for the illegitimate name E. calycorectoides Guillaumin. Lectotypes are proposed for 15 names: E. bullata Pancher ex Guillaumin, E. daenikeri Guillaumin, E. ericoides Guillaumin, E. horizontalis Pancher ex Brongn. & Gris, E. huerlimannii Guillaumin, E. kaalensis Guillaumin, E. littoralis Pancher ex Brongn. & Gris, E. littoralis var. deplanchei Brongn. & Gris, E. magnifica Brongn. & Gris, E. paludosa Pancher ex Brongn. & Gris, E. stricta Pancher ex Brongn. & Gris, Jambosa canalensis Guillaumin, Myrtus poimbailensis Guillaumin, Schizocalyx neocaledonica Brongn. & Gris, and Xanthomyrtus pergracilis Diels. A neotype is also designated for Eugenia gacognei Montrouz.
Published: 2022

35. Asynchronous recovery of predators and prey conditions resilience to drought in a neotropical ecosystem

Author: Thomas Ruiz, Jean-François Carrias, Camille Bonhomme, Vinicius F. Farjalla, Vincent E. J. Jassey, Joséphine Leflaive, Arthur Compin, Céline Leroy, Bruno Corbara, Diane S. Srivastava, Régis Céréghino, Laboratoire Microorganismes : Génome et Environnement (LMGE), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Universidade Federal do Rio de Janeiro (UFRJ), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), 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)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of British Columbia (UBC), ANR-18-CE02-0015,RESILIENCE,Démêler les rôles des traits biologiques et de la dynamique des métacommunautés sur la résilience multifonctionnelle des écosystèmes néotropicaux(2018), and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: Food Chain, Multidisciplinary, Ecology, Ecosystem ecology, Climate Change, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Tropical ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Droughts, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Freshwater ecology, Biomass, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecosystem
Abstract: The predicted increase in the intensity and frequency of drought events associated with global climate change will impose severe hydrological stress to freshwater ecosystems, potentially altering their structure and function. Unlike freshwater communities’ direct response to drought, their post-drought recovery capacities remain understudied despite being an essential component driving ecosystem resilience. Here we used tank bromeliad as model ecosystem to emulate droughts of different duration and then assess the recovery capacities of ecosystem structure and function. We followed macroinvertebrate predator and prey biomass to characterize the recovery dynamics of trophic structure (i.e. predator–prey biomass ratio) during the post-drought rewetting phase. We showed that drought significantly affects the trophic structure of macroinvertebrates by reducing the predator–prey biomass ratio. The asynchronous recovery of predator and prey biomass appeared as a critical driver of the post-drought recovery trajectory of trophic structure. Litter decomposition rate, which is an essential ecosystem function, remained stable after drought events, indicating the presence of compensatory effects between detritivores biomass and detritivores feeding activity. We conclude that, in a context of global change, the asynchrony in post-drought recovery of different trophic levels may impact the overall drought resilience of small freshwater ecosystems in a more complex way than expected.
Published: 2022

36. Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?

Author: Benjamin Deneu, Alexis Joly, Pierre Bonnet, Maximilien Servajean, François Munoz, Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Université Paul-Valéry - Montpellier 3 (UPVM), ADVanced Analytics for data SciencE (ADVANSE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Laboratoire Interdisciplinaire de Physique [Saint Martin d’Hères] (LIPhy ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), and ANR-16-CONV-0004,DIGITAG,Institut Convergences en Agriculture Numérique(2016)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Remote-sensing imagery, Plant functional traits, Species distribution model, Convolutional neural network, Plant Science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Ecological interpretation, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, t-SNE, Very fine scale prediction
Abstract: Species Distribution Models (SDMs) are fundamental tools in ecology for predicting the geographic distribution of species based on environmental data. They are also very useful from an application point of view, whether for the implementation of conservation plans for threatened species or for monitoring invasive species. The generalizability and spatial accuracy of an SDM depend very strongly on the type of model used and the environmental data used as explanatory variables. In this article, we study a country-wide species distribution model based on very high resolution (VHR) (1 m) remote sensing images processed by a convolutional neural network. We demonstrate that this model can capture landscape and habitat information at very fine spatial scales while providing overall better predictive performance than conventional models. Moreover, to demonstrate the ecological significance of the model, we propose an original analysis based on the t-distributed Stochastic Neighbor Embedding (t-SNE) dimension reduction technique. It allows visualizing the relation between input data and species traits or environment learned by the model as well as conducting some statistical tests verifying them. We also analyze the spatial mapping of the t-SNE dimensions at both national and local levels, showing the model benefit of automatically learning environmental variation at multiple scales.
Published: 2022

37. Wind Speed Controls Forest Structure in a Subtropical Forest Exposed to Cyclones: A Case Study Using an Individual-Based Model

Author: Rau, E-Ping, Gardiner, Barry A., Fischer, Fabian Jörg, Maréchaux, Isabelle, Joetzjer, Emilie, Sun, I-Fang, Chave, Jérôme, Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Européen de la Forêt Cultivée, Partenaires INRAE, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), National Dong Hwa University (NDHU), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), ANR-10-LABX-0041,TULIP,Towards a Unified theory of biotic Interactions: the roLe of environmental(2010), and ANR-11-INBS-0001,ANAEE-FR,ANAEE-Services(2011)
Subjects: Topography, Global and Planetary Change, Windthrow, Ecology, Forestry, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Environmental Science (miscellaneous), Disturbance regime, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Tree mortality, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Forest recovery, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecosystem resilience, Nature and Landscape Conservation
Abstract: International audience; Extreme wind blowdown events can significantly modify the structure and composition of forests, and the predicted shift in tropical cyclone regimes due to climate change could strongly impact forests across the tropics. In this study, we coupled an individual-based and spatially-explicit forest dynamics model (TROLL) with a mechanistic model estimating wind damage as a function of tree size, traits, and allometry (ForestGALES). We assimilated floristic trait data and climate data from a subtropical forest site in Taiwan to explore the effect of wind regimes on forest properties. We found that the average canopy height and biomass stocks decreased as wind disturbance strength increased, but biomass stocks showed a nonlinear response. Above a wind intensity threshold, both canopy height and biomass drastically decreased to near-zero, exhibiting a transition to a non-forest state. Wind intensity strongly regulated wind impact, but varying wind frequency did not cause discernible effects. The implementation of within-stand topographic heterogeneity led to weak effects on within-stand forest structure heterogeneity at the study site. In conclusion, the intensity of wind disturbances can potentially greatly impact forest structure by modifying mortality. Individual-based modeling provides a framework in which to investigate the impact of wind regimes on mortality, other factors influencing wind-induced tree mortality, as well as interaction between wind and other forms of forest disturbance and human land use legacy.
Published: 2022

38. LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction

Author: Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Isabelle Bolon, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller, Milan Šulc, Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Cornell University [New York], University of West Bohemia [Plzeň ], Computer Science Department (CS CALTECH), California Institute of Technology (CALTECH), ADVanced Analytics for data SciencE (ADVANSE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Florida Gulf Coast University, Université de Genève = University of Geneva (UNIGE), Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Xeno-canto foundation, Google LLC, Haute Ecole Spécialisée de Suisse Occidentale (HES-SO), Czech Technical University in Prague (CTU), DigitAG, Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty, and European Project: 863463,Cos4Cloud project
Subjects: Bird identification, Machine-Learning, Species distribution model, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, AI, Machine learning, Species Identification, [INFO]Computer Science [cs], LifeCLEF, Plant identification, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Species prediction, Snake identification
Abstract: International audience; Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants, animals and fungi is hindering the aggregation of new data and knowledge. Identifying and naming living organisms is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2022 edition proposes five data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: very large-scale plant identification, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: remote sensing based prediction of species, (iv) SnakeCLEF: Snake Species Identification in Medically Important scenarios, and (v) FungiCLEF: Fungi recognition from images and metadata.
Published: 2022

39. Relationships between species richness and ecosystem services inAmazonian forests strongly infuenced by biogeographical strata and forest types

Author: Steur, Gijs, ter Steege, Hans, Verburg, René W., Sabatier, Daniel, Molino, Jean‑François, Bánki, Olaf S., Castellanos, Hernan, Stropp, Juliana, Fonty, Émile, Ruysschaert, Sofie, Galbraith, David, Kalamandeen, Michelle, van Andel, Tinde R., Brienen, Roel J. W., Phillips, Oliver L., Feeley, Kenneth J., Terborgh, John, Verweij, Pita A., Energy and Resources, Afd Biologie Algemeen, Afd. Botanische tuinen, Energy System Analysis, Sub Algemeen Biologie, Dutch Research Council, Agence Nationale de la Recherche (France), Afd. Botanische tuinen, Energy System Analysis, Energy and Resources, Systems Ecology, Apollo - University of Cambridge Repository, Utrecht University [Utrecht], Naturalis Biodiversity Center [Leiden], Vrije Universiteit Amsterdam [Amsterdam] (VU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Universidad Nacional Experimental de Guayana, Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Universiteit Gent = Ghent University (UGENT), University of Leeds, University of Cambridge [UK] (CAM), Laurentian University, Wageningen University and Research [Wageningen] (WUR), University of Miami, University of Florida [Gainesville] (UF), James Cook University (JCU), G.S. was supported by grant 022.006.011 from the Dutch Research Council (‘NWO’) for the Graduate Programme ‘Nature Conservation, Management and Restoration’. D.S. & J-F.M. benefited from an 'Investissement d’Avenir' grant managed by the Agence Nationale de la Recherche (CEBA: ANR-10-LABX-25-01), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), Afd Biologie Algemeen, and Sub Algemeen Biologie
Subjects: Earth Observation and Environmental Informatics, Multidisciplinary, Tropical forests, Aboveground biomass, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Carbon, Biosystematiek, Trees, Carbon stocks, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Plant diversity, Aardobservatie en omgevingsinformatica, Ecosystem services, Life Science, Biosystematics, Tree diversity, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, General, Plant ecology, Ecosystem, Productivity
Abstract: Despite increasing attention for relationships between species richness and ecosystem services, for tropical forests such relationships are still under discussion. Contradicting relationships have been reported concerning carbon stock, while little is known about relationships concerning timber stock and the abundance of non-timber forest product producing plant species (NTFP abundance). Using 151 1-ha plots, we related tree and arborescent palm species richness to carbon stock, timber stock and NTFP abundance across the Guiana Shield, and using 283 1-ha plots, to carbon stock across all of Amazonia. We analysed how environmental heterogeneity influenced these relationships, assessing differences across and within multiple forest types, biogeographic regions and subregions. Species richness showed significant relationships with all three ecosystem services, but relationships differed between forest types and among biogeographical strata. We found that species richness was positively associated to carbon stock in all biogeographical strata. This association became obscured by variation across biogeographical regions at the scale of Amazonia, resembling a Simpson’s paradox. By contrast, species richness was weakly or not significantly related to timber stock and NTFP abundance, suggesting that species richness is not a good predictor for these ecosystem services. Our findings illustrate the importance of environmental stratification in analysing biodiversity-ecosystem services relationships., G.S. was supported by grant 022.006.011 from the Dutch Research Council (‘NWO’) for the Graduate Programme ‘Nature Conservation, Management and Restoration’. D.S. & J-F.M. benefited from an “Investissement d’Avenir” grant managed by the Agence Nationale de la Recherche (CEBA: ANR-10-LABX-25-01).
Published: 2022

40. Patterns of Plumericin Concentration in Leaves of Himatanthus tarapotensis (Apocynaceae) and Its Interactions with Herbivory in the Peruvian Amazon

Author: Carlos A. Amasifuen Guerra, Kirti Patel, Piero G. Delprete, Andréa P. Spina, Juan Grados, Pedro Vásquez-Ocmín, Alice Gadea, Rosario Rojas, Jesús Guzmán, Michel Sauvain, Universidad Peruana Cayetano Heredia (UPCH), Laboratorio Andino-Amazónico de Química de la Vida (LAVI), Universidad Peruana Cayetano Heredia (UPCH)-Institut de Recherche pour le Développement (IRD [Pérou]), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Herbier de Guyane - IRD, Institut de Recherche pour le Développement (IRD [Guyane]), Universidad Nacional Mayor de San Marcos (UNMSM), Pharmacochimie et Biologie pour le Développement (PHARMA-DEV), Institut de Recherche pour le Développement (IRD)-Institut de Chimie de Toulouse (ICT), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université de Toulouse (UT)
Subjects: Ecology, fungi, Plumericin, Plant Science, Precipitation, Soil types, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, plant-herbivore interactions, plumericin, soil types, precipitation, Peru, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Plant-herbivore interactions, Ecology, Evolution, Behavior and Systematics, purl.org/pe-repo/ocde/ford#4.01.01 [https]
Abstract: 18 páginas We explored the concentration patterns of the bioactive metabolite plumericin produced by Himatanthus tarapotensis (Apocynaceae) under different edaphic conditions and variations in rainfall intensity, as well as its potential role in the chemical defense against insect herbivores. Values of plumericin concentration from leaves were obtained by High-Performance Liquid Chromatography, and evaluated as a function of differences in soil types, variation of precipitation, and variation of the abundance of insect herbivores, using first a Repeated Measures Correlation (rmcorr) and then a Generalized Linear Mixed Model (GLMM) analysis. Plumericin concentration is highly variable among plants, but with a significantly higher concentration in plants growing on clay soil compared to that of the white-sand soil habitat (p < 0.001). Plumericin concentration is not affected by precipitation. The caterpillar of Isognathus leachii (Lepidoptera: Sphingidae) is the most conspicuous herbivore of H. tarapotensis, and its presence is continuous but not related to plumericin concentration, probably because of its capacity to elude the chemical defense of this plant. Nevertheless, our multivariate model revealed that plumericin concentration is related to the abundance of Hymenoptera (Formicidae), and this relationship is significantly influenced by the soil parameters of carbon percentage, clay percentage, and phosphorous percentage (p < 0.001). Plumericin is a mediating agent in the interaction between H. tarapotensis and its natural environment. Variation in plumericin concentration would be induced by the abundance of Hymenoptera (Formicidae), probably as a chemical response against these insects, and by differences in soil nutrient availability. 1. Introduction. 2. Results. 3. Discussion. 4. Materials and methods. References.
Published: 2022

41. Ontogenetic changes in root traits and root-associated fungal community composition in an heteroblastic epiphytic bromeliad

Author: Leroy, Céline, Maes, Arthur QuyManh, Louisanna, Eliane, Séjalon-Delmas, Nathalie, Erktan, Amandine, Schimann, Heidy, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Recherche en Sciences Végétales (LRSV), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Interactions Microbiennes dans la Rhizosphère et les Racines, Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-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), Georg-August-University = Georg-August-Universität Göttingen, Pioneer Company through ANRT support., and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: Bromeliaceae, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, ITS metabarcoding, Ontogeny, Fungal functional guilds, Heteroblasty, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Root trait gradients, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Bromeliaceae, Fungal functional guilds, heteroblasty, ITS metabarcoding, ontogeny, root trait gradients, Ecology, Evolution, Behavior and Systematics
Abstract: csv file and appendix of manuscript entitled "Ontogenetic changes in root traits and root-associated fungal community composition in an heteroblastic epiphytic bromeliad" by Leroy C., Maes AQ, Louisanna, Séjalon-Delmas N, Erktan A, Schimann H and accepted for publication in Oikos (10.1111/oik.09213) Abstract: Heteroblastic variations among leaf traits is a well‐known process, especially in bromeliad species that show abrupt changes, but little effort was directed to test whether comparable ontogenetic variation occurs among root traits and their fungal partners. Usually considered for their mechanical role, roots of bromeliads may also play a role in resource use that we expect to differ between ontogenetic stages, namely nutrient pulse-supplied atmospherics (young stage) and continuously-supplied tanks (later stage). On a selection of adventitious roots of the heteroblastic epiphyte Lutheria splendens, we explored (i) ontogenetic variations in morphological and anatomical root traits, namely the number of adventitious roots and tips, total root length, average root diameter, root tissue density, specific root length, and root tissue areas, and (ii) ontogenetic changes in the composition of the root-associated fungal communities using ITS1 region-based high-throughput sequencing. Plant size, taken as an indicator of gradual ontogenetic variations, and plant stage had significant effects on root traits, unless for root tissue density. The number of adventitious roots and tips, the total root length, average root diameter, and all root tissue areas (i.e., velamen, outer cortex, inner cortex, vascular cylinder) increased gradually with ontogeny while the specific root length decreased abruptly. The root-associated fungal communities varied with plant stage. The tank stage showed higher proportion of mycorrhizal fungi and a lower abundance of dark septate endophyte as compared to atmospheric stage. Overall, we demonstrated significant ontogenetic variations of root traits and fungal partners in bromeliad species that suggest important changes in the strategy for resource use as plants mature. We invite future root trait studies to better account for ontogenetic variations.
Published: 2022
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42. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

Author: Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Nicolas Labriere, Pedro Rodriguez-Veiga, Valerio Avitabile, Maurizio Santoro, Edward T.A. Mitchard, Casey M. Ryan, Oliver L. Phillips, Simon Willcock, Hans Verbeeck, Joao Carreiras, Lars Hein, Mart-Jan Schelhaas, Ana Maria Pacheco-Pascagaza, Polyanna da Conceição Bispo, Gaia Vaglio Laurin, Ghislain Vieilledent, Ferry Slik, Arief Wijaya, Simon L. Lewis, Alexandra Morel, Jingjing Liang, Hansrajie Sukhdeo, Dmitry Schepaschenko, Jura Cavlovic, Hammad Gilani, Richard Lucas, Wageningen University and Research [Wageningen] (WUR), NERC National Centre for Earth Observation (NCEO), Natural Environment Research Council (NERC), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), University of Leicester, Gamma Remote Sensing Research and Consulting AG, 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)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Subjects: Map validation, Bos- en Landschapsecologie, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, CARBON, biomasse aérienne des arbres, Laboratory of Geo-information Science and Remote Sensing, K01 - Foresterie - Considérations générales, Forest and Landscape Ecology, GROUND DATA, GROWING STOCK VOLUME, Inventaire forestier, Geology, Carbon cycle, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Remote sensing, Milieusysteemanalyse, Incertitude, Vegetatie, Bos- en Landschapsecologie, Mad validation, Télédétection, RETRIEVAL, MODELS, Soil Science, ERRORS, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, AGB, Couverture végétale, Laboratorium voor Geo-informatiekunde en Remote Sensing, Uncertainty assessment, Computers in Earth Sciences, FIELD, Modélisation environnementale, Vegetatie, Vegetation, AREA, FOREST BIOMASS, 15. Life on land, cartographie des fonctions de la forêt, Environmental Systems Analysis, 13. Climate action, Earth and Environmental Sciences, cavelab, Vegetation, Forest and Landscape Ecology, U30 - Méthodes de recherche, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: International audience; Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, and also for national estimates of forest carbon stocks and their changes. The number of such maps is anticipated to increase because of new satellite missions dedicated to measuring AGB. Objective and consistent methods to estimate the accuracy and uncertainty of AGB maps are therefore urgently needed. This paper develops and demonstrates a framework aimed at achieving this. The framework provides a means to compare AGB maps with AGB estimates from a global collection of National Forest Inventories and research plots that accounts for the uncertainty of plot AGB errors. This uncertainty depends strongly on plot size, and is dominated by the combined errors from tree measurements and allometric models (inter-quartile range of their standard deviation (SD) = 30–151 Mg ha−1). Estimates of sampling errors are also important, especially in the most common case where plots are smaller than map pixels (SD = 16–44 Mg ha−1). Plot uncertainty estimates are used to calculate the minimum-variance linear unbiased estimates of the mean forest AGB when averaged to 0.1∘. These are used to assess four AGB maps: Baccini (2000), GEOCARBON (2008), GlobBiomass (2010) and CCI Biomass (2017). Map bias, estimated using the differences between the plot and 0.1∘ map averages, is modelled using random forest regression driven by variables shown to affect the map estimates. The bias model is particularly sensitive to the map estimate of AGB and tree cover, and exhibits strong regional biases. Variograms indicate that AGB map errors have map-specific spatial correlation up to a range of 50–104 km, which increases the variance of spatially aggregated AGB map estimates compared to when pixel errors are independent. After bias adjustment, total pantropical AGB and its associated SD are derived for the four map epochs. This total becomes closer to the value estimated by the Forest Resources Assessment after every epoch and shows a similar decrease. The framework is applicable to both local and global-scale analysis, and is available at https://github.com/arnanaraza/PlotToMap. Our study therefore constitutes a major step towards improved AGB map validation and improvement.
Published: 2022

43. The impact of termites on soil sheeting properties is better explained by environmental factors than by their feeding and building strategies

Author: Pascal Jouquet, Ajay Harit, Vincent Hervé, Hemanth Moger, Tiago Carrijo, David A. Donoso, David Eldridge, Hélida Ferreira da Cunha, Chutinan Choosai, Jean-Louis Janeau, Jean-Luc Maeght, Thuy Doan Thu, Alexia Briandon, Myriam Dahbi Skali, John van Thuyne, Ali Mainga, Olga Patricia Pinzon Florian, Oumarou Malam Issa, Pascal Podwojewski, Jean-Louis Rajot, Thierry Henri-des-Tureaux, Lotfi Smaili, Mohamed Labiadh, Hanane Aroui Boukbida, Rashmi Shanbhag, Ratha Muon, Vannak Ann, Sougueh Cheik, Saliou Fall, Saran Traoré, Simon Dupont, Thomas Chouvenc, Aaron J. Mullins, Syaukani Syaukani, Rainer Zaiss, Tran Minh Tien, Jan Šobotník, Apolline Auclerc, Rongliang Qiu, Ye-Tao Tang, Hermine Huot, David Sillam-Dussès, Nicolas Bottinelli, Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), School of Chemical Sciences, Mahatma Gandhi University, Kottayam, Mahatma Gandhi University [Kerala], Institut de recherche sur la biologie de l'insecte UMR7261 (IRBI), Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Science, Universidade Federal do ABC = Federal University of ABC = Université Fédérale de l'ABC [Brazil] (UFABC), Escuela Politécnica Nacional (EPN), University of New South Wales [Canberra Campus] (UNSW), Universidade Estadual de Goiás (UEG), Khon Kaen University [Thailand] (KKU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Soils and Fertilizers Research Institute (SFRI), Vietnam Academy of Agricultural Sciences (VAAS), Université de Lausanne = University of Lausanne (UNIL), Universidad Distrital Francisco Jose de Caldas [Bogota], Institut des Régions Arides (IRA), Institute of Technology of Cambodia [Cambodge] (KHM), Centre d’Etudes et de Recherche de Djibouti (CERD), Institut Sénégalais de Recherches Agricoles [Dakar] (ISRA), Université Joseph Ki-Zerbo [Ouagadougou] (UJZK), University of Florida [Gainesville] (UF), Universitas Syiah Kuala, Czech University of Life Sciences Prague (CZU), Laboratoire Sols et Environnement (LSE), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Sun Yat-Sen University [Guangzhou] (SYSU), Laboratoire d'Ethologie Expérimentale et Comparée (LEEC), Université Sorbonne Paris Nord, French national Institute of Research for Development (IRD), and Indo-French Cell for Water Science (LMI CEFIRSE, http://www.cefirse.ird.fr)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Feeding guilds, Ecosystem engineers, Soil Science, Biostructures, Bioturbation, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, complex mixtures, Fungus-growing termites
Abstract: International audience; Termites are key soil bioturbators in tropical ecosystems. Apart from mound nests constructed by some advanced lineages, most of the species use their faeces, oral secretions, debris, or soil aggregates to protect themselves from predators and desiccation when they go out to forage. Although this soil ‘sheeting’ is considered to play a key role in soil functioning, the properties of this termite-made material has been poorly studied. The few available data showed that sheeting properties are highly variable with positive, neutral or negative impacts on soil C and clay content, and consequently on soil aggregate stability. Therefore, the objective of this study was to determine the factors controlling the physical (particle size fractions and structural stability) and chemical (pH, electrical conductivity and carbon content) properties of soil sheeting produced by termite species encompassing all feeding and building categories using a dataset representative of an important diversity of biotopes coming from 21 countries from all continents colonized by termites. We showed that sheeting properties were explained by the properties of their environment, and especially by those of the bulk soil (linear relationships), followed in a lesser extent by the mean annual precipitation and biotope. Classic hypotheses related to termite feeding and building strategies were not hold by our analysis. However, the distinction of termites into fungus-growing and non-fungus growing species was useful when differentiating the impact of termites on soil electrical conductivity, C content, and structural stability. The large variability observed suggests the need to redefine termite functional groups based on their impacts on soil properties using a trait-based approach from morphological, anatomical and/or physiological traits.
Published: 2022

44. Deep Species Distribution Modeling From Sentinel-2 Image Time-Series: A Global Scale Analysis on the Orchid Family

Author: Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, François Munoz, Alexis Joly, Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), ADVanced Analytics for data SciencE (ADVANSE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Laboratoire Interdisciplinaire de Physique [Saint Martin d’Hères] (LIPhy ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), and CACTUS Fund - INRIA
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Deep learning, Convolutional neural networks, Plant Science, Remote sensing, Sentinel-2, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Macroecology, Image time-series, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Data science, Species distribution modeling
Abstract: Species distribution models (SDMs) are widely used numerical tools that rely on correlations between geolocated presences (and possibly absences) and environmental predictors to model the ecological preferences of species. Recently, SDMs exploiting deep learning and remote sensing images have emerged and have demonstrated high predictive performance. In particular, it has been shown that one of the key advantages of these models (called deep-SDMs) is their ability to capture the spatial structure of the landscape, unlike prior models. In this paper, we examine whether the temporal dimension of remote sensing images can also be exploited by deep-SDMs. Indeed, satellites such as Sentinel-2 are now providing data with a high temporal revisit, and it is likely that the resulting time-series of images contain relevant information about the seasonal variations of the environment and vegetation. To confirm this hypothesis, we built a substantial and original dataset (calledDeepOrchidSeries) aimed at modeling the distribution of orchids on a global scale based on Sentinel-2 image time series. It includes around 1 million occurrences of orchids worldwide, each being paired with a 12-month-long time series of high-resolution images (640 x 640 m RGB+IR patches centered on the geolocated observations). This ambitious dataset enabled us to train several deep-SDMs based on convolutional neural networks (CNNs) whose input was extended to include the temporal dimension. To quantify the contribution of the temporal dimension, we designed a novel interpretability methodology based on temporal permutation tests, temporal sampling, and temporal averaging. We show that the predictive performance of the model is greatly increased by the seasonality information contained in the temporal series. In particular, occurrence-poor species and diversity-rich regions are the ones that benefit the most from this improvement, revealing the importance of habitat's temporal dynamics to characterize species distribution.
Published: 2022

45. How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators

Author: Sasha Marie Woods, Maria Daskolia, Alexis Joly, Pierre Bonnet, Karen Soacha, Sonia Liñan, Tim Woods, Jaume Piera, Luigi Ceccaroni, Earthwatch Institute, National and Kapodistrian University of Athens (NKUA), Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Spanish National Research Council (CSIC), Open University of Catalonia [Barcelona], ICM-CSIC authors acknowledge the institutional support of the 'Severo Ochoa Centre of Excellence' accreditation (CEX2019-000928-S, European Project: 863463,Cos4Cloud project, European Commission, and Agencia Estatal de Investigación (España)
Subjects: Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Sustainable Development Goals, citizen science, citizen observatory, interoperability, co-design, education, Management, Monitoring, Policy and Law, Citizen science, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Interoperability, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Citizen observatory, Education, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, ComputerSystemsOrganization_MISCELLANEOUS, Co-design, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: Special Issue Citizen Science Projects for Environmental Challenges and Sustainable Development Goals.-- 17 pages, 2 pages, 1 figure.-- Data Availability Statement: Not applicable, There is a growing acknowledgement that citizen observatories, and other forms of citizen-generated data, have a significant role in tracking progress towards the Sustainable Development Goals. This is evident in the increasing number of Sustainable Development Goals’ indicators for which such data are already being used and in the high-level recognition of the potential role that citizen science can play. In this article, we argue that networks of citizen observatories will help realise this potential. Drawing on the Cos4Cloud project as an example, we highlight how such networks can make citizen-generated data more interoperable and accessible (among other qualities), increasing their impact and usefulness. Furthermore, we highlight other, perhaps overlooked, advantages of citizen observatories and citizen-generated data: educating and informing citizen scientists about the Sustainable Development Goals and co-creating solutions to the global challenges they address, The research described in this paper was funded by the European Commission via the Cos4Cloud and MICS projects, which have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements 863463 and 824711. ICM-CSIC authors acknowledge the institutional support of the “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S)
Published: 2022

46. Contrasting strategies of nutrient demand and use between savanna and forest ecosystems in a Neotropical transition zone

Author: Marina Corrêa Scalon, Imma Oliveras Menor, Renata Freitag, Karine S. Peixoto, Sami W. Rifai, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, Yadvinder Malhi, University of Oxford, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Universidade do Estado de Mato Grosso (UNEMAT), ARC Centre of Excellence for Climate Extremes, University of Tasmania [Hobart, Australia] (UTAS), and NERC (Natural Environmental Research Council) BIO-RED (#ACR00460)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Ecology, Evolution, Behavior and Systematics, Earth-Surface Processes
Abstract: The total demand for and uptake of nutrients by vegetation is rarely quantified or compared across vegetation types. Here, we describe different nutrient use and allocation strategies in neotropical savanna (cerrado) and transitional forest (cerradão) tree communities composed of different species, report leaf nutrient resorption and calculate ecosystem-level nutrient use efficiency. We couple net primary productivity (NPP) estimates with nutrient stoichiometry to quantify nutrient demand and nutrient flows at the whole-stand scale for different components of vegetation biomass. Species from the two vegetation communities showed similar mean nutrient concentrations and nutrient resorption efficiency, except for wood P concentration that was fourfold higher in cerrado than cerradão species. The cerradão showed higher canopy NPP, while fine roots and wood NPP were similar for the two vegetation types. Nutrient requirement in the two vegetation types was dominated by the demands of the canopy, with canopy resorption generally contributing more than 50 % of the total canopy demand for nutrients, while less than 35 % of N, P, K, Ca and Mg were allocated to wood or fine roots. Proportionally, cerrado showed higher nutrient demand from fine roots (over 35 % of the total nutrient demand) and for the wood component (over 13 % of the total nutrient demand), while ∼ 60 %–70 % of the cerradão nutrient demand was allocated to the canopy. The proportional difference in nutrient allocation to the different biomass components suggests cerrado species allocate less nutrients to a given fine root biomass, but more nutrients to a given wood biomass. Our findings suggest that cerradão species are more limited in P and K than cerrado species, inducing higher resorption to compensate for low uptake. Moreover, we found that N uptake for cerradão was higher with lower N use efficiency, i.e. the amount of production per nutrient unit, leading higher N demand compared to the cerrado. This difference in nutrient dynamics explains how similar soils and the same climate dominated by savanna vegetation can also support forest-like formations. Tree species composition is likely the major factor regulating nutrient use, limiting vegetation transitions and influencing nutrient demand at landscape scales.
Published: 2022

47. Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning

Author: Eduardo Eiji Maeda, Matheus Henrique Nunes, Kim Calders, Yhasmin Mendes de Moura, Pasi Raumonen, Hanna Tuomisto, Philippe Verley, Gregoire Vincent, Gabriela Zuquim, José Luís Camargo, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), TreeD lab - Terrestrial Ecosystem Dynamics, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Universiteit Gent = Ghent University (UGENT), Karlsruhe Institute of Technology (KIT), University of Leicester, University of Tampere [Finland], University of Turku, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Aarhus University [Aarhus], National Institute for Amazonian Research, Academy of Finland (decision numbers 318252, 319905 and 340175). This publication is number 833 of theTechnical Series of the Biological Dynamics of Forest Fragment Forest (BDFFP). Y.M.M. was supported by a research grant from the Royal Society through the Newton International Fellowship funding, grant number NF170036 and HPC-Europa3 (process n: HPC17TA3RL) supported by European Commission H2020. KC was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 835398. GZ was funded by the Danish Council for Independent Research - Natural Sciences (#9040-00136B). G.V. received support from 'Investissement d’Avenir' grant managed by Agence Nationale de la Recherche (CEBA, ref. ANR- 10-LABX-25-01), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), Tampere University, and Computing Sciences
Subjects: LiDAR, Geography & travel, Forest fragmentation, Tropical forests, LEAF-AREA, Soil Science, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, BIOMASS, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Structural traits, MICROCLIMATE, Computers in Earth Sciences, 1172 Environmental sciences, FRAGMENTS, INDEX, ddc:910, Geology, RAIN-FOREST, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, 113 Computer and information sciences, LIGHT, AIRBORNE LIDAR, Earth and Environmental Sciences, DENSITY, cavelab, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, TROPICAL FOREST
Abstract: Forest edges are an increasingly common feature of Amazonian landscapes due to human-induced forest fragmentation. Substantial evidence shows that edge effects cause profound changes in forest biodiversity and productivity. However, the broader impacts of edge effects on ecosystem functioning remain unclear. Assessing the three-dimensional arrangement of forest elements has the potential to unveil structural traits that are scalable and closely linked to important functional characteristics of the forest. Using over 600 high-resolution terrestrial laser scanning measurements, we present a detailed assessment of forest structural metrics linked to ecosystem processes such as energy harvesting and light use efficiency. Our results show a persistent change in forest structural characteristics along the edges of forest fragments, which resulted in a significantly lower structural diversity, in comparison with the interior of the forest fragments. These structural changes could be observed up to 35 m from the forest edges and are likely to reflect even deeper impacts on other ecosystem variables such as microclimate and biodiversity. Traits related to vertical plant material allocation were more affected than traits related to canopy height. We demonstrate a divergent response from the forest understory (higher vegetation density close to the edge) and the upper canopy (lower vegetation density close to the edge), indicating that assessing forest disturbances using vertically integrated metrics, such as total plant area index, can lead to an erroneous interpretation of no change. Our results demonstrate the strong potential of terrestrial laser scanning for benchmarking broader-scale (e.g. airborne and space-borne) remote sensing assessments of forest disturbances, as well as to provide a more robust interpretation of biophysical changes detected at coarser resolutions. publishedVersion
Published: 2022

48. Hydraulic hysteresis of natural pyroclastic soils in partially saturated conditions: experimental investigation and modelling

Author: Gianfranco Urciuoli, Ana Sofia Dias, Marianna Pirone, Marco Valerio Nicotera, Durham University, University of Naples Federico II = Università degli studi di Napoli Federico II, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Open access funding provided by Universita` degli Studi di Napoli Federico II within the CRUI-CARE Agreement., The research was funded by the Italian Ministry of Education, University and Research through the research programme MIUR PRIN 2015, ‘‘Innovative Monitoring and Design Strategies for Sustainable Landslide Risk’’, Dias, A. S., Pirone, M., Nicotera, M. V., Urciuoli, G., Università degli studi di Napoli Federico II, and 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)
Subjects: 010504 meteorology & atmospheric sciences, Soil test, Water retention curve, 0211 other engineering and technologies, Evaporation, Pyroclastic rock, Pyroclastic soil, 02 engineering and technology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Hydraulic conductivity, Earth and Planetary Sciences (miscellaneous), Geotechnical engineering, Unsaturated soil, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Hysteresis, Landslide, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Geotechnical Engineering and Engineering Geology, Soil water, Hysteresi, Soil hydraulic characterization, Wetting, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Geology
Abstract: In many geotechnical applications, especially in the study of weather-induced landslides, a reliable soil hydraulic characterization in unsaturated conditions is required. Currently, the experimental techniques that neglect the hydraulic hysteresis represent the greatest limitation to landslide forecasting. In this paper, a procedure to obtain an unsaturated soil hydraulic characterization on natural pyroclastic samples is proposed and verified. The approach enables the evaluation of the soil hydraulic properties along the main drying path and wetting/drying cycles to fully quantify the effects of the hydraulic hysteresis. Pyroclastic soil samples collected at a test site at Mount Faito in the Campania region (southern Italy) were tested. The experimental investigation consisted of a sequence of testing phases: a constant-head hydraulic conductivity test, a forced evaporation test followed by several wetting–drying cycles, and a drying test in a pressure plate apparatus. The hysteretic model proposed by Parker and Lenhard (1987) was adopted to fit the data, while inverse modelling of the forced evaporation tests allowed to derive the model parameters. Therefore, the main drying and wetting branches and the soil response to drying and wetting cycles from any reversal point were reproduced with the model, which suitably described the hysteretic behaviour of the pyroclastic soil under all conditions and along all paths.
Published: 2022

49. Etudes floristique et ethnobotanique du massif de Maadid (M’sila, Algérie)

Author: Guechi, Narimène Ouafa, Université Mohamed Boudiaf de M'sila, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Université de M'Sila (Algérie), and Khellaf REBBAS
Subjects: Plantes médicinales, Enquête ethnobotanique, Transmission of knowledge, Taxonomie, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Transmission des savoirs, Ethnobotanical survey, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Medicinal plants, Développement durable, Sustainable development, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Phytothérapie, Phytotherapy, Taxonomy
Abstract: In the Maghreb countries, aromatic and medicinal plants are used by people who have know-how in terms of use, cultivation and conservation. The Jebel Maadid in the Hodna Mountains in Algeria is known for its floristic diversity, coupled with essential ethnobotanical value, according to the significant use of these plants in traditional medicine by the indigenous population.This ethnobotanical study sheds light on the medicinal plants used in this region and the place they occupy in the daily life of the villagers. Using a questionnaire during the period (2017-2020), 319 people practicing herbal medicine were interviewed. The Use-Value of species (UVs), Drug Informant Agreement Ratio (Med. IARs), Fidelity Level (FL) and Informant Consensus Factor (ICF) were analyzed. 134 species with therapeutic properties have been inventoried, belonging to 118 genera and 57 botanical families among which the Lamiaceae are the most used. Informants most often use the leaves of plants, in the form of infusions. The plants which show the most important UVs are Mentha spicata, Artemisia herba-alba and Juniperus phoenicea subsp. turbinata, 15 species have maximum values for the Med index. IARs, while thyroid disease and digestive disorders have the highest ICF value. Despite the development of the chemical drug industry, the study population prefers to use medicinal plants to cure various diseases, for the efficiency of the plants and their lower cost. Respondents indicated 12 taxa possessing toxicity but did not indicate the limits of toxicity for each plant.From a biogeographical point of view, four taxa are endemic to Algeria or the Maghreb (Origanum vulgare subsp. glandulosum, Thymus algeriensis, Thymus ciliatus and Zygophyllum album) while 18 are from other countries. 66 rare species s.l. have been identified in the Maadid massif: 38 rare species, 7 very rare species, 21 fairly rare species. Most of the species listed in the inventory are common to Tell with 128 species, fairly common 71 species, very common 107 species and extremely common 20 taxa.It is important to better understand this traditional phytotherapeutic knowledge on the botanical, taxonomic and chorological level in order to ensure their conservation and sustainable use in situ.; Au Maghreb, les plantes médicinales sont utilisées par les populations qui possèdent un savoir-faire en matière d’usage, de culture et de conservation. Le Djebel Maadid dans les Monts du Hodna en Algérie est connu pour sa diversité floristique, doublée d’une valeur ethnobotanique essentielle, dans l’utilisation importante de ces plantes en médecine traditionnelle par la population autochtone. Cette étude ethnobotanique fait la lumière sur les plantes médicinales utilisées dans cette région et la place qu’elles occupent dans la vie quotidienne des villageois. À l’aide d’un questionnaire pendant la période (2017-2020), 319 personnes pratiquant la phytothérapie ont été interrogées. Ont été analysées la Valeur d'Usage des espèces (UVs), le Ratio d'Accord des Informateurs sur les médicaments (Med. IARs), le Niveau de Fidélité (FL) et le Facteur de Consensus des Informateurs (ICF). 134 espèces à vertus thérapeutiques ont été inventoriées, appartenant à 118 genres et 57 familles botaniques parmi lesquelles les Lamiaceae sont les plus utilisées. Les informateurs utilisent le plus souvent les feuilles de plantes, sous forme d'infusions. Les plantes qui présentent les plus importants UVs sont Mentha spicata, Artemisia herba-alba et Juniperus phoenicea subsp. turbinata, 15 espèces ont des valeurs maximales pour l'indice Med. IARs, tandis que la maladie thyroïdienne et les affections digestives sont celles qui ont la valeur ICF la plus élevée. En outre la population étudiée préfère utiliser les plantes médicinales pour soigner diverses maladies, pour l’efficacité des plantes et leur coût moins élevé. Les personnes interrogées ont indiqué 12 taxons possédant une toxicité mais n'ont pas indiqué les limites de toxicité de chaque plante. D’un point de vue biogéographique, 4 taxons sont endémiques d’Algérie ou du Maghreb (Origanum vulgare subsp. glandulosum, Thymus algeriensis, Thymus ciliatus et Zygophyllum album) tandis que 18 sont originaires d’autres pays. 66 espèces rares s.l. ont été recensées dans le massif de Maadid : 38 espèces rares, 7 espèces très rares, 21 espèces assez rares. La plupart des espèces répertoriées dans l’inventaire sont communes au Tell avec 128 espèces, assez communes 71 espèces, très communes 107 espèces et extrêmement communes 20 taxons.Il est important de mieux les comprendre ces connaissances phytothérapeutiques traditionnelles sur le plan botanique, taxonomique et chorologique afin d’assurer leur conservation et utilisation durables in situ.
Published: 2022

50. Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest

Author: Hervé Goëau, Titouan Lorieul, Patrick Heuret, Alexis Joly, Pierre Bonnet, Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Scientific Data Management (ZENITH), 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)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), and ANR-11-INBS-0004,E-RECOLNAT,Valorisation de 350 ans de collections d'histoire naturelle : une plateforme numérique(2011)
Subjects: Ecology, Deep learning, Plant Science, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Neural network, Natural history collection, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Machine learning, Visual analysis, Vegetative phenology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, vegetative phenology, plant growth, herbarium specimens, natural history collection, deep learning, machine learning, neural network, visual analysis, Ecology, Evolution, Behavior and Systematics, Plant growth, Herbarium specimens
Abstract: International audience; A better knowledge of tree vegetative growth phenology and its relationship to environmental variables is crucial to understanding forest growth dynamics and how climate change may affect it. Less studied than reproductive structures, vegetative growth phenology focuses primarily on the analysis of growing shoots, from buds to leaf fall. In temperate regions, low winter temperatures impose a cessation of vegetative growth shoots and lead to a well-known annual growth cycle pattern for most species. The humid tropics, on the other hand, have less seasonality and contain many more tree species, leading to a diversity of patterns that is still poorly known and understood. The work in this study aims to advance knowledge in this area, focusing specifically on herbarium scans, as herbariums offer the promise of tracking phenology over long periods of time. However, such a study requires a large number of shoots to be able to draw statistically relevant conclusions. We propose to investigate the extent to which the use of deep learning can help detect and type-classify these relatively rare vegetative structures in herbarium collections. Our results demonstrate the relevance of using herbarium data in vegetative phenology research as well as the potential of deep learning approaches for growing shoot detection.
Published: 2022
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