Author: "Bruelheide, Helge" / Topic: ecology - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Bruelheide, Helge"' showing total 46 results

Start Over Author "Bruelheide, Helge" Topic ecology

46 results on '"Bruelheide, Helge"'

1. The importance of trait selection in ecology.

Author: Weigelt A, Mommer L, Andraczek K, Iversen CM, Bergmann J, Bruelheide H, Freschet GT, Guerrero-Ramírez NR, Kattge J, Kuyper TW, Laughlin DC, Meier IC, van der Plas F, Poorter H, Roumet C, van Ruijven J, Sabatini FM, Semchenko M, Sweeney CJ, Valverde-Barrantes OJ, York LM, and McCormack ML
Subjects: Ecology
Published: 2023
Full Text: View/download PDF

2. Current Challenges in Plant Eco-Metabolomics.

Author: Peters K, Worrich A, Weinhold A, Alka O, Balcke G, Birkemeyer C, Bruelheide H, Calf OW, Dietz S, Dührkop K, Gaquerel E, Heinig U, Kücklich M, Macel M, Müller C, Poeschl Y, Pohnert G, Ristok C, Rodríguez VM, Ruttkies C, Schuman M, Schweiger R, Shahaf N, Steinbeck C, Tortosa M, Treutler H, Ueberschaar N, Velasco P, Weiß BM, Widdig A, Neumann S, and Dam NMV
Subjects: Plants metabolism, Ecology, Metabolomics trends, Plants genetics
Abstract: The relatively new research discipline of Eco-Metabolomics is the application of metabolomics techniques to ecology with the aim to characterise biochemical interactions of organisms across different spatial and temporal scales. Metabolomics is an untargeted biochemical approach to measure many thousands of metabolites in different species, including plants and animals. Changes in metabolite concentrations can provide mechanistic evidence for biochemical processes that are relevant at ecological scales. These include physiological, phenotypic and morphological responses of plants and communities to environmental changes and also interactions with other organisms. Traditionally, research in biochemistry and ecology comes from two different directions and is performed at distinct spatiotemporal scales. Biochemical studies most often focus on intrinsic processes in individuals at physiological and cellular scales. Generally, they take a bottom-up approach scaling up cellular processes from spatiotemporally fine to coarser scales. Ecological studies usually focus on extrinsic processes acting upon organisms at population and community scales and typically study top-down and bottom-up processes in combination. Eco-Metabolomics is a transdisciplinary research discipline that links biochemistry and ecology and connects the distinct spatiotemporal scales. In this review, we focus on approaches to study chemical and biochemical interactions of plants at various ecological levels, mainly plant⁻organismal interactions, and discuss related examples from other domains. We present recent developments and highlight advancements in Eco-Metabolomics over the last decade from various angles. We further address the five key challenges: (1) complex experimental designs and large variation of metabolite profiles; (2) feature extraction; (3) metabolite identification; (4) statistical analyses; and (5) bioinformatics software tools and workflows. The presented solutions to these challenges will advance connecting the distinct spatiotemporal scales and bridging biochemistry and ecology.
Published: 2018
Full Text: View/download PDF

3. The global distribution and drivers of wood density and their impact on forest carbon stocks.

Author: Mo, Lidong, Crowther, Thomas W, Maynard, Daniel S, van den Hoogen, Johan, Ma, Haozhi, Bialic-Murphy, Lalasia, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B, Phillips, Oliver L, Abegg, Meinrad, Adou Yao, Yves C, Alberti, Giorgio, Almeyda Zambrano, Angelica M, Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F, Amaral, Iêda, Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A, Baker, Timothy R, Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G, Bastian, Meredith L, Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Boonman, Coline CF, Bouriaud, Olivier, Brancalion, Pedro HS, Brandl, Susanne, Brearley, Francis Q, Brienen, Roel, Broadbent, Eben N, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G, Cesljar, Goran, Chazdon, Robin, Chen, Han YH, Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D, Coomes, David A, Valverde, Fernando Cornejo, Corral-Rivas, José J, Crim, Philip M, Cumming, Jonathan R, Dayanandan, Selvadurai, de Gasper, André L, Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J, Eyre, Teresa J, Fandohan, Adandé Belarmain, Fayle, Tom M, Feldpausch, Ted R, Ferreira, Leandro V, Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier GP, Gianelle, Damiano, Glick, Henry B, Harris, David J, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L, Herold, Martin, Hietz, Peter, Hillers, Annika, Honorio Coronado, Eurídice N, Hui, Cang, Ibanez, Thomas, Imai, Nobuo, Jagodziński, Andrzej M, Jaroszewicz, Bogdan, and Johannsen, Vivian Kvist
Subjects: Ecology, Evolutionary biology, Environmental management
Abstract: The density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to 30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems.
Published: 2024

4. Dominance and rarity in tree communities across the globe: Patterns, predictors and threats

Author: Hordijk, Iris, Bialic‐Murphy, Lalasia, Lauber, Thomas, Routh, Devin, Poorter, Lourens, Rivers, Malin C, Steege, Hans ter, Liang, Jingjing, Reich, Peter B, de‐Miguel, Sergio, Nabuurs, Gert‐Jan, Gamarra, Javier GP, Chen, Han YH, Zhou, Mo, Wiser, Susan K, Pretzsch, Hans, Paquette, Alain, Picard, Nicolas, Hérault, Bruno, Bastin, Jean‐Francois, Alberti, Giorgio, Abegg, Meinrad, Yao, Yves C Adou, Zambrano, Angelica M Almeyda, Alvarado, Braulio V, Alvarez‐Davila, Esteban, Alvarez‐Loayza, Patricia, Alves, Luciana F, Ammer, Christian, Antón‐Fernández, Clara, Araujo‐Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Corredor, Gerardo A Aymard, Baker, Timothy, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro HS, Brandl, Susanne, Brienen, Roel, Broadbent, Eben N, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo G, Cesljar, Goran, Chazdon, Robin, Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J, Clar, David B, Colletta, Gabriel, Coomes, David, Valverde, Fernando Cornejo, Corral‐Rivas, Jose J, Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, André L, Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Iêda, Amaral, Dourdain, Aurélie, Dolezal, Jiri, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adandé Belarmain, Fayle, Tom M, Ferreira, Leandro V, Feldpausch, Ted R, Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B, Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Hillers, Annika, Coronado, Eurídice N Honorio, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M, and Jaroszewicz, Bogdan
Subjects: Environmental Sciences, Ecological Applications, Ecology, Biological Sciences, Machine Learning and Artificial Intelligence, Life on Land, Life Below Water
Abstract: Aim: Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species?. Location: Global. Time period: 1990–2017. Major taxa studied: Trees. Methods: We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Results: Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation. Main conclusions: By linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.
Published: 2024

5. The global biogeography of tree leaf form and habit

Author: Ma, Haozhi, Crowther, Thomas W, Mo, Lidong, Maynard, Daniel S, Renner, Susanne S, van den Hoogen, Johan, Zou, Yibiao, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B, Niinemets, Ülo, Abegg, Meinrad, Adou Yao, Yves C, Alberti, Giorgio, Almeyda Zambrano, Angelica M, Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F, Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A, Baker, Timothy R, Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G, Bastian, Meredith L, Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro HS, Brandl, Susanne, Brearley, Francis Q, Brienen, Roel, Broadbent, Eben N, Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G, Cesljar, Goran, Chazdon, Robin, Chen, Han YH, Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D, Coomes, David A, Valverde, Fernando Cornejo, Corral-Rivas, José J, Crim, Philip M, Cumming, Jonathan R, Dayanandan, Selvadurai, de Gasper, André L, Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J, Eyre, Teresa J, Fandohan, Adandé Belarmain, Fayle, Tom M, Feldpausch, Ted R, Ferreira, Leandro V, Finér, Leena, Fischer, Markus, Fletcher, Christine, Fridman, Jonas, Frizzera, Lorenzo, Gamarra, Javier GP, Gianelle, Damiano, Glick, Henry B, Harris, David J, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L, Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N, Hui, Cang, Ibanez, Thomas T, Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M, Jaroszewicz, Bogdan, and Johannsen, Vivian Kvist
Subjects: Biological Sciences, Ecology, Climate Action, Plant Biology, Crop and Pasture Production, Plant biology
Abstract: Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling.
Published: 2023

6. Evenness mediates the global relationship between forest productivity and richness

Author: Hordijk, Iris, Maynard, Daniel S, Hart, Simon P, Lidong, Mo, ter Steege, Hans, Liang, Jingjing, de‐Miguel, Sergio, Nabuurs, Gert‐Jan, Reich, Peter B, Abegg, Meinrad, Adou Yao, C Yves, Alberti, Giorgio, Almeyda Zambrano, Angelica M, Alvarado, Braulio V, Esteban, Alvarez‐Davila, Alvarez‐Loayza, Patricia, Alves, Luciana F, Ammer, Christian, Antón‐Fernández, Clara, Araujo‐Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard C, Gerardo A, Baker, Timothy, Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L, Bastin, Jean‐Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro HS, Brandl, Susanne, Brienen, Roel, Broadbent, Eben N, Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G, Cesljar, Goran, Chazdon, Robin, Chen, Han YH, Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J, Clark, David B, Colletta, Gabriel, Coomes, David, Cornejo Valverde, Fernando, Corral‐Rivas, Jose J, Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, André L, Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Iêda, Amaral, Dourdain, Aurélie, Nestor Laurier, Engone Obiang, Enquist, Brian, Eyre, Teresa, Fandohan, Adandé Belarmain, Fayle, Tom M, Ferreira, Leandro V, Feldpausch, Ted R, Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier GP, Gianelle, Damiano, Glick, Henry B, Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John, Hillers, Annika, Honorio Coronado, Eurídice N, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Bin Jung, Il, Imai, Nobuo, Jagodzinski, Andrzej M, Jaroszewicz, Bogdan, Johanssen, Vivian, Joly, Carlos A, Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, and Kenfack, David
Subjects: Biological Sciences, Ecology, Life Below Water, diversity, ecosystem function and services, evenness, forests, global, productivity, species richness, Environmental Sciences, Agricultural and Veterinary Sciences
Abstract: 1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explained by low evenness in speciose communities. Productivity generally increases with species richness, until reduced evenness limits the overall increases in community diversity. Our research suggests that evenness is a fundamental component of biodiversity–ecosystem function relationships, and is of critical importance for guiding conservation and sustainable ecosystem management decisions.
Published: 2023

7. TRY plant trait database – enhanced coverage and open access

Author: Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert DA, Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia TR, Adamidis, George C, Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H, Alcántara, Julio M, C, Carolina Alcázar, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M, Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimarães, Ashman, Tia‐Lynn, Asmara, Degi Harja, Asner, Gregory P, Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup‐Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J, Bakker, Jan P, Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R, Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo‐Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Carlucci, Marcos Bergmann, Berner, Logan, Bernhardt‐Römermann, Markus, Bigler, Christof, Bjorkman, Anne D, Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra‐González, Kelly T, Boeckx, Pascal, Bohlman, Stephanie, Böhning‐Gaese, Katrin, Boisvert‐Marsh, Laura, Bond, William, Bond‐Lamberty, Ben, Boom, Arnoud, Boonman, Coline CF, Bordin, Kauane, Boughton, Elizabeth H, Boukili, Vanessa, Bowman, David MJS, Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R, Brown, Kerry A, Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W, Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E, and Bürger, Jana
Subjects: Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Access to Information, Biodiversity, Ecosystem, Plants, data coverage, data integration, data representativeness, functional diversity, plant traits, TRY plant trait database, Nutrient Network, Biological sciences, Earth sciences, Environmental sciences
Abstract: Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Published: 2020

8. Tundra Trait Team: A database of plant traits spanning the tundra biome

Author: Bjorkman, Anne D, Myers‐Smith, Isla H, Elmendorf, Sarah C, Normand, Signe, Thomas, Haydn JD, Alatalo, Juha M, Alexander, Heather, Anadon‐Rosell, Alba, Angers‐Blondin, Sandra, Bai, Yang, Baruah, Gaurav, Beest, Mariska te, Berner, Logan, Björk, Robert G, Blok, Daan, Bruelheide, Helge, Buchwal, Agata, Buras, Allan, Carbognani, Michele, Christie, Katherine, Collier, Laura S, Cooper, Elisabeth J, Cornelissen, J Hans C, Dickinson, Katharine JM, Dullinger, Stefan, Elberling, Bo, Eskelinen, Anu, Forbes, Bruce C, Frei, Esther R, Iturrate‐Garcia, Maitane, Good, Megan K, Grau, Oriol, Green, Peter, Greve, Michelle, Grogan, Paul, Haider, Sylvia, Hájek, Tomáš, Hallinger, Martin, Happonen, Konsta, Harper, Karen A, Heijmans, Monique MPD, Henry, Gregory HR, Hermanutz, Luise, Hewitt, Rebecca E, Hollister, Robert D, Hudson, James, Hülber, Karl, Iversen, Colleen M, Jaroszynska, Francesca, Jiménez‐Alfaro, Borja, Johnstone, Jill, Jorgensen, Rasmus Halfdan, Kaarlejärvi, Elina, Klady, Rebecca, Klimešová, Jitka, Korsten, Annika, Kuleza, Sara, Kulonen, Aino, Lamarque, Laurent J, Lantz, Trevor, Lavalle, Amanda, Lembrechts, Jonas J, Lévesque, Esther, Little, Chelsea J, Luoto, Miska, Macek, Petr, Mack, Michelle C, Mathakutha, Rabia, Michelsen, Anders, Milbau, Ann, Molau, Ulf, Morgan, John W, Mörsdorf, Martin Alfons, Nabe‐Nielsen, Jacob, Nielsen, Sigrid Schøler, Ninot, Josep M, Oberbauer, Steven F, Olofsson, Johan, Onipchenko, Vladimir G, Petraglia, Alessandro, Pickering, Catherine, Prevéy, Janet S, Rixen, Christian, Rumpf, Sabine B, Schaepman‐Strub, Gabriela, Semenchuk, Philipp, Shetti, Rohan, Soudzilovskaia, Nadejda A, Spasojevic, Marko J, Speed, James David Mervyn, Street, Lorna E, Suding, Katharine, Tape, Ken D, Tomaselli, Marcello, Trant, Andrew, Treier, Urs A, Tremblay, Jean‐Pierre, Tremblay, Maxime, Venn, Susanna, and Virkkala, Anna‐Maria
Subjects: alpine, Arctic, plant functional traits, tundra, Ecology
Published: 2018

9. BioTIME: A database of biodiversity time series for the Anthropocene.

Author: Dornelas, Maria, Antão, Laura H, Moyes, Faye, Bates, Amanda E, Magurran, Anne E, Adam, Dušan, Akhmetzhanova, Asem A, Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H, Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti-Cecchi, Lisandro, Bett, Brian J, Bjorkman, Anne D, Błażewicz, Magdalena, Blowes, Shane A, Bloch, Christopher P, Bonebrake, Timothy C, Boyd, Susan, Bradford, Matt, Brooks, Andrew J, Brown, James H, Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda-Moya, Edward, Chen, Chaolun Allen, Chamblee, John F, Chase, Tory J, Siegwart Collier, Laura, Collinge, Sharon K, Condit, Richard, Cooper, Elisabeth J, Cornelissen, J Hans C, Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H, Davis, Robert A, Day, Frank P, Degraer, Steven, Doherty, Tim S, Dunn, Timothy E, Durigan, Giselda, Duffy, J Emmett, Edelist, Dor, Edgar, Graham J, Elahi, Robin, Elmendorf, Sarah C, Enemar, Anders, Ernest, SK Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S, Fan, Tung-Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z, Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E, Fraser, William R, García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone-Barbosa, Elizabeth, Gould, William A, Gries, Corinna, Grossman, Gary D, Gutierréz, Julio R, Hale, Stephen, Harmon, Mark E, Harte, John, Haskins, Gary, Henshaw, Donald L, Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D, Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih-Hao, Hubbell, Stephen P, Huettmann, Falk, Huffard, Christine L, Hurlbert, Allen H, and Macedo Ivanauskas, Natália
Subjects: biodiversity, global, spatial, species richness, temporal, turnover, Ecology, Physical Geography and Environmental Geoscience, Ecological Applications
Abstract: MotivationThe BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables includedThe database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.Spatial location and grainBioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).Time period and grainBioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurementBioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format.csv and .SQL.
Published: 2018

10. Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why

Author: Paine, CE Timothy, Amissah, Lucy, Auge, Harald, Baraloto, Christopher, Baruffol, Martin, Bourland, Nils, Bruelheide, Helge, Daïnou, Kasso, Gouvenain, Roland C, Doucet, Jean‐Louis, Doust, Susan, Fine, Paul VA, Fortunel, Claire, Haase, Josephine, Holl, Karen D, Jactel, Hervé, Li, Xuefei, Kitajima, Kaoru, Koricheva, Julia, Martínez‐Garza, Cristina, Messier, Christian, Paquette, Alain, Philipson, Christopher, Piotto, Daniel, Poorter, Lourens, Posada, Juan M, Potvin, Catherine, Rainio, Kalle, Russo, Sabrina E, Ruiz‐Jaen, Mariacarmen, Scherer‐Lorenzen, Michael, Webb, Campbell O, Wright, S Joseph, Zahawi, Rakan A, and Hector, Andy
Subjects: functional ecology, FunDivEurope, growth, hierarchical models, plant population and community dynamics, relative growth rate, size-standardized growth rate, TreeDivNet, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Ecology
Abstract: Plant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin a new generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38% of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1% of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. Synthesis. We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer. The most widely studied functional traits in plant ecology, specific leaf area, wood density and seed mass, were only weakly associated with tree growth rates over broad scales. Assessing trait-growth relationships under specific environmental conditions may generate more insight than a global relationship can offer.
Published: 2015

11. Tree diversity effects on soil microbial biomass and respiration are context dependent across forest diversity experiments

Author: Cesarz, Simone, Craven, Dylan, Auge, Harald, Bruelheide, Helge, Castagneyrol, Bastien, Gutknecht, Jessica, Hector, Andy, Jactel, Herve, Koricheva, Julia, Messier, Christian, Muys, Bart, O'Brien, Michael J, Paquette, Alain, Ponette, Quentin, Potvin, Catherine, Reich, Peter B, Scherer-Lorenzen, Michael, Smith, Andrew R, Verheyen, Kris, Eisenhauer, Nico, Xu, Xiaofeng, Xu, Xiaofeng, and UCL - SST/ELI/ELIE - Environmental Sciences
Subjects: DECOMPOSITION, aboveground-belowground interactions, soil microorganisms, Evolution, context dependence, biodiversity-ecosystem functioning, Environmental Sciences & Ecology, complex mixtures, soil biota, CARBON, biodiversity loss, Behavior and Systematics, RICHNESS, tree diversity, DRIVERS, global change, Ecology, Evolution, Behavior and Systematics, PLANT DIVERSITY, Global and Planetary Change, Science & Technology, soil microbial functions, PRODUCTIVITY, Ecology, SPECIES-DIVERSITY, Geography, Physical, TreeDivNet, Physical Geography, Earth and Environmental Sciences, Physical Sciences, PATTERNS, BIODIVERSITY, COMMUNITIES, human activities, Life Sciences & Biomedicine
Abstract: Aim Soil microorganisms are essential for the functioning of terrestrial ecosystems. Although soil microbial communities and functions are linked to tree species composition and diversity, there has been no comprehensive study of the generality or context dependence of these relationships. Here, we examine tree diversity–soil microbial biomass and respiration relationships across environmental gradients using a global network of tree diversity experiments. Location Boreal, temperate, subtropical and tropical forests. Time period 2013. Major taxa studied Soil microorganisms. Methods Soil samples collected from 11 tree diversity experiments were used to measure microbial respiration, biomass and respiratory quotient using the substrate-induced respiration method. All samples were measured using the same analytical device, method and procedure to reduce measurement bias. We used linear mixed-effects models and principal components analysis (PCA) to examine the effects of tree diversity (taxonomic and phylogenetic), environmental conditions and interactions on soil microbial properties. Results Abiotic drivers, mainly soil water content, but also soil carbon and soil pH, significantly increased soil microbial biomass and respiration. High soil water content reduced the importance of other abiotic drivers. Tree diversity had no effect on the soil microbial properties, but interactions with phylogenetic diversity indicated that the effects of diversity were context dependent and stronger in drier soils. Similar results were found for soil carbon and soil pH. Main conclusions Our results indicate the importance of abiotic variables, especially soil water content, for maintaining high levels of soil microbial functions and modulating the effects of other environmental drivers. Planting tree species with diverse water-use strategies and structurally complex canopies and high leaf area might be crucial for maintaining high soil microbial biomass and respiration. Given that greater phylogenetic distance alleviated unfavourable soil water conditions, reforestation efforts that account for traits improving soil water content or select more phylogenetically distant species might assist in increasing soil microbial functions.
Published: 2022

12. Forest structure and composition alleviate human thermal stress

Author: Gillerot, Loïc, Landuyt, Dries, Oh, Rachel, Chow, Winston, Haluza, Daniela, Ponette, Quentin, Jactel, Hervé, Bruelheide, Helge, Jaroszewicz, Bogdan, Scherer‐Lorenzen, Michael, De Frenne, Pieter, Muys, Bart, Verheyen, Kris, and UCL - SST/ELI/ELIE - Environmental Sciences
Subjects: COMFORT, Climate Change, thermal, heat stress, CANOPY, nature-based solution, Environmental Chemistry, Humans, MICROCLIMATE, Forest, physiologically equivalent temperature, TEMPERATURE, AREA INDEX, General Environmental Science, Global and Planetary Change, Ecology, MORTALITY, Temperature, heat mitigation, Microclimate, GREEN INFRASTRUCTURE, CLIMATE, Europe, HEAT MITIGATION STRATEGIES, Dr, forest microclimate, Earth and Environmental Sciences, TREES
Abstract: Current climate change aggravates human health hazards posed by heat stress. Forests can locally mitigate this by acting as strong thermal buffers, yet potential mediation by forest ecological characteristics remains underexplored. We report over 14 months of hourly microclimate data from 131 forest plots across four European countries and compare these to open-field controls using physiologically equivalent temperature (PET) to reflect human thermal perception. Forests slightly tempered cold extremes, but the strongest buffering occurred under very hot conditions (PET >35 degrees C), where forests reduced strong to extreme heat stress day occurrence by 84.1%. Mature forests cooled the microclimate by 12.1 to 14.5 degrees C PET under, respectively, strong and extreme heat stress conditions. Even young plantations reduced those conditions by 10 degrees C PET. Forest structure strongly modulated the buffering capacity, which was enhanced by increasing stand density, canopy height and canopy closure. Tree species composition had a more modest yet significant influence: that is, strongly shade-casting, small-leaved evergreen species amplified cooling. Tree diversity had little direct influences, though indirect effects through stand structure remain possible. Forests in general, both young and mature, are thus strong thermal stress reducers, but their cooling potential can be even further amplified, given targeted (urban) forest management that considers these new insights.
Published: 2022

13. Species richness stabilizes productivity via asynchrony and drought-tolerance diversity in a large-scale tree biodiversity experiment

Author: Schnabel, Florian, Liu, Xiaojuan, Kunz, Matthias, Barry, Kathryn E, Bongers, Franca J, Bruelheide, Helge, Fichtner, Andreas, Härdtle, Werner, Li, Shan, Pfaff, Claas-Thido, Schmid, Bernhard, Schwarz, Julia A, Tang, Zhiyao, Yang, Bo, Bauhus, Jürgen, von Oheimb, Goddert, Ma, Keping, Wirth, Christian, Ecology and Biodiversity, Sub Ecology and Biodiversity, University of Zurich, Schnabel, Florian, Liu, Xiaojuan, Kunz, Matthias, Ecology and Biodiversity, and Sub Ecology and Biodiversity
Subjects: 1000 Multidisciplinary, Earth, Environmental, Ecological, and Space Sciences, 10122 Institute of Geography, Multidisciplinary, Ecosystems Research, Ecology, SciAdv r-articles, Agriculture, 910 Geography & travel, Research Article
Abstract: Description, Species richness promotes forest stability via enhanced asynchrony, which is positively related to drought-tolerance diversity., Extreme climatic events threaten forests and their climate mitigation potential globally. Understanding the drivers promoting ecosystem stability is therefore considered crucial for mitigating adverse climate change effects on forests. Here, we use structural equation models to explain how tree species richness, asynchronous species dynamics, species-level population stability, and drought-tolerance traits relate to the stability of forest productivity along an experimentally manipulated species richness gradient ranging from 1 to 24 tree species. Tree species richness improved community stability by increasing asynchrony. That is, at higher species richness, interannual variation in productivity among tree species buffered the community against stress-related productivity declines. This effect was positively related to variation in stomatal control and resistance-acquisition strategies among species, but not to the community-weighted means of these trait syndromes. The identified mechanisms by which tree species richness stabilizes forest productivity emphasize the importance of diverse, mixed-species forests to adapt to climate change.
Published: 2021

14. Radial growth response of trees to seasonal soil humidity in a subtropical forest

Author: Gheyret, Gheyur, Zhang, Hong-Tu, Guo, Yanpei, Liu, Tong-Yan, Bai, Yun-Hao, Li, Shan, Schmid, Bernhard, Bruelheide, Helge, Ma, Keping, Tang, Zhiyao, University of Zurich, and Tang, Zhiyao
Subjects: 10122 Institute of Geography, 1105 Ecology, Evolution, Behavior and Systematics, Ecology, Behavior and Systematics, Evolution, 910 Geography & travel
Published: 2021

15. sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots

Author: Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Kattge, Jens, Levesley, Aurora, Purschke, Oliver, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, A?i?, Svetlana, Acosta, Alicia T.R., Agrillo, Emiliano, Alvarez, Miguel, Apostolova, Iva, Arfin Khan, Mohammed A.S., Arroyo, Luzmila, Attorre, Fabio, Aubin, Isabelle, Banerjee, Arindam, Bauters, Marijn, Bergeron, Yves, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Bonari, Gianmaria, Bondareva, Viktoria, Casella, Laura, Cayuela, Luis, Chepinoga, Victor, De Bie, Els, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El-Sheikh, Mohamed Abd El Rouf Mousa, Enquist, Brian, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John?Arvid, Guerin, Gregory Richard, Haider, Sylvia, Hatim, Mohamed Z., Hinojos Mendoza, Guillermo, Hubau, Wannes, Indreica, Adrian, Janssen, John A. M., Jedrzejek, Birgit, Jentsch, Anke, K?cki, Zygmunt, Kapfer, Jutta, Karger, Dirk Nikolaus, Kavgac?, Ali, Kearsley, Elizabeth, Kessler, Michael, Khanina, Larisa, Killeen, Timothy, Korolyuk, Andrey, Kreft, Holger, Kuzemko, Anna, Landucci, Flavia, Lengyel, Attila, Lens, Frederic, Liu, Hongyan, Lysenko, Tatiana, Mahecha, Miguel D., Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Monteagudo Mendoza, Abel, Mucina, Ladislav, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Peet, Robert K., Peyre, Gwendolyn, Phillips, Oliver L., Prokhorov, Vadim, Revermann, Rasmus, Rivas?Torres, Gonzalo, Rodwell, John S., Ruprecht, Eszter, R?si?a, Solvita, Samimi, Cyrus, Schmidt, Marco, Schrodt, Franziska, Shan, Hanhuai, Shirokikh, Pavel, Sparrow, Ben, Sperandii, Marta Gaia, Stan?i?, Zvjezdana, Svenning, Jens?Christian, Tang, Zhiyao, Tang, Cindy Q., Tsiripidis, Ioannis, Vassilev, Kiril, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Waller, Donald M., Wang, Hua?Feng, Wesche, Karsten, Whitfeld, Timothy J. S., Willner, Wolfgang, Wiser, Susan K., Wohlgemuth, Thomas, Yamalov, Sergey, Zobel, Martin, and Bruelheide, Helge
Subjects: Global and Planetary Change, Ecology, Geography: Geosciences, Ecology, Evolution, Behavior and Systematics
Abstract: Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n=95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c.50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01–40,000m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records. Software format: Three main matrices (.csv), relationally linked.
Published: 2021

16. The relationship between niche breadth and range size of beech (Fagus) species worldwide

Author: Cai, Qiong, Welk, Erik, Ji, Chengjun, Fang, Wenjing, Sabatini, Francesco M., Zhu, Jianxiao, Zhu, Jiangling, Tang, Zhiyao, Attorre, Fabio, Campos, Juan A., Dolezal, Jiri, Field, Richard, Gholizadeh, Hamid, Indreica, Adrian, Jandt, Ute, Karger, Dirk N., Lenoir, Jonathan, Peet, Robert K., Pielech, Remigiusz, De Sanctis, Michele, Schrodt, Franziska, Svenning, Jens Christian, Tang, Cindy Q., Tsiripidis, Ioannis, Willner, Wolfgang, Yasuhiro, Kubota, Fang, Jingyun, and Bruelheide, Helge
Subjects: Ecology, Geography: Geosciences, Ecology, Evolution, Behavior and Systematics
Abstract: Aim: This work explores whether the commonly observed positive range size–niche breadth relationship exists for Fagus, one of the most dominant and widespread broad-leaved deciduous tree genera in temperate forests of the Northern Hemisphere. Additionally, we ask whether the 10 extant Fagus species’ niche breadths and climatic tolerances are under phylogenetic control. Location: Northern Hemisphere temperate forests. Taxon: Fagus L. Methods: Combining the global vegetation database sPlot with Chinese vegetation data, we extracted 107,758 relevés containing Fagus species. We estimated biotic and climatic niche breadths per species using plot-based co-occurrence data and a resource-based approach, respectively. We examined the relationships of these estimates with range size and tested for their phylogenetic signal, prior to which a Random Forest (RF) analysis was applied to test which climatic properties are most conserved across the Fagus species. Results: Neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Notably, the widespread North American F. grandifolia had a distinctly smaller biotic niche breadth than the Chinese Fagus species (F. engleriana, F. hayatae, F. longipetiolata and F. lucida) with restricted distributions in isolated mountains. The RF analysis revealed that cold tolerance did not differ among the 10 species, and thus may represent an ancestral, fixed trait. In addition, neither biotic nor climatic niche breadths are under phylogenetic control. Main Conclusions: We interpret the lack of a general positive range size–niche breadth relationship within the genus Fagus as a result of the widespread distribution, high among-region variation in available niche space, landscape heterogeneity and Quaternary history. The results hold when estimating niche sizes either by fine-scale co-occurrence data or coarse-scale climate data, suggesting a mechanistic link between factors operating across spatial scales. Besides, there was no evidence for diverging ecological specialization within the genus Fagus.
Published: 2021

17. For the sake of resilience and multifunctionality, let's diversify planted forests!

Author: Messier, Christian, Bauhus, Jürgen, Sousa‐Silva, Rita, Auge, Harald, Baeten, Lander, Barsoum, Nadia, Bruelheide, Helge, Caldwell, Benjamin, Cavender‐Bares, Jeannine, Dhiedt, Els, Eisenhauer, Nico, Ganade, Gislene, Gravel, Dominique, Guillemot, Joannès, Hall, Jefferson S., Hector, Andrew, Hérault, Bruno, Jactel, Hervé, Koricheva, Julia, Kreft, Holger, Mereu, Simone, Muys, Bart, Nock, Charles A., Paquette, Alain, Parker, John D., Perring, Michael P., Ponette, Quentin, Potvin, Catherine, Reich, Peter B., Scherer‐Lorenzen, Michael, Schnabel, Florian, Verheyen, Kris, Weih, Martin, Wollni, Meike, Zemp, Delphine Clara, Université du Québec en Outaouais (UQO), University of Freiburg [Freiburg], Université du Québec à Montréal = University of Québec in Montréal (UQAM), German Centre for Integrative Biodiversity Research (iDiv), Universiteit Gent = Ghent University [Belgium] (UGENT), Forest Research [Great Britain], Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), University of Minnesota [Morris], University of Minnesota System, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Escola Superior de Agricultura 'Luiz de Queiroz' (ESALQ), Universidade de São Paulo (USP), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Smithsonian Tropical Research Institute, University of Oxford [Oxford], 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), Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Royal Holloway [University of London] (RHUL), University of Göttingen - Georg-August-Universität Göttingen, Euro-Mediterranean Center on Climate Change (CMCC), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), University of Alberta, UK Centre of Ecology and Hydrology (UKCEH), Université Catholique de Louvain = Catholic University of Louvain (UCL), McGill University = Université McGill [Montréal, Canada], University of Minnesota [Crookston], Swedish University of Agricultural Sciences (SLU), Institute of Biology of the University of Neuchâtel, Université de Neuchâtel (UNINE), Universiteit Gent = Ghent University (UGENT), 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), Universidade de São Paulo = University of São Paulo (USP), University of Oxford, Georg-August-University = Georg-August-Universität Göttingen, and UCL - SST/ELI/ELIE - Environmental Sciences
Subjects: IMPACTS, Science & Technology, Ecology, PRODUCTIVITY, Evolution, Biodiversity & Conservation, General. Including nature conservation, geographical distribution, forest functioning, Biodiversity, QH1-199.5, Ecology and Environment, climate change mitigation, sustainable forest management, PLANTATIONS, forest landscape restoration, Behavior and Systematics, Earth and Environmental Sciences, [SDE]Environmental Sciences, Biodiversity Conservation, ecosystem services, plantations, Life Sciences & Biomedicine, resilience, Nature and Landscape Conservation
Abstract: International audience; As of 2020, the world has an estimated 290 million ha of planted forests and this number is continuously increasing. Of these, 131 million ha are monospecific planted forests under intensive management. Although monospecific planted forests are important in providing timber, they harbor less biodiversity and are potentially more susceptible to disturbances than natural or diverse planted forests. Here, we point out the increasing scientific evidence for increased resilience and ecosystem service provision of functionally and species diverse planted forests (hereafter referred to as diverse planted forests) compared to monospecific ones. Furthermore, we propose five concrete steps to foster the adoption of diverse planted forests: (1) improve awareness of benefits and practical options of diverse planted forests among land-owners, managers, and investors; (2) incentivize tree species diversity in public funding of afforestation and programs to diversify current maladapted planted forests of low diversity; (3) develop new wood-based products that can be derived from many different tree species not yet in use; (4) invest in research to assess landscape benefits of diverse planted forests for functional connectivity and resilience to global-change threats; and (5) improve the evidence base on diverse planted forests, in particular in currently under-represented regions, where new options could be tested.
Published: 2021

18. sPlot – A new tool for global vegetation analyses

Author: Bruelheide, Helge, Dengler, Jürgen, Jiménez‐Alfaro, Borja, et al, Kessler, Michael, University of Zurich, Chiarucci, Alessandro, and Bruelheide, Helge
Subjects: 10121 Department of Systematic and Evolutionary Botany, Ecology, 1110 Plant Science, Plant Science, 580 Plants (Botany), 10211 Zurich-Basel Plant Science Center, 2303 Ecology
Published: 2019

19. Biodiversity across trophic levels drives multifunctionality in highly diverse forests

Author: Schuldt, Andreas, Assmann, Thorsten, Brezzi, Matteo, Buscot, François, Eichenberg, David, Gutknecht, Jessica, Härdtle, Werner, He, Jin-Sheng, Klein, Alexandra-Maria, Kühn, Peter, Liu, Xiaojuan, Ma, Keping, Niklaus, Pascal A., Pietsch, Katherina A., Purahong, Witoon, Scherer-Lorenzen, Michael, Schmid, Bernhard, Scholten, Thomas, Staab, Michael, Tang, Zhiyao, Trogisch, Stefan, von Oheimb, Goddert, Wirth, Christian, Wubet, Tesfaye, Zhu, Chao-Dong, and Bruelheide, Helge
Subjects: Ecology, Science, Ecosystem services, lcsh:Q, Biodiversity, Forest ecology, Tropical ecology, lcsh:Science, Article, Environmental planning
Abstract: Human-induced biodiversity change impairs ecosystem functions crucial to human well-being. However, the consequences of this change for ecosystem multifunctionality are poorly understood beyond effects of plant species loss, particularly in regions with high biodiversity across trophic levels. Here we adopt a multitrophic perspective to analyze how biodiversity affects multifunctionality in biodiverse subtropical forests. We consider 22 independent measurements of nine ecosystem functions central to energy and nutrient flow across trophic levels. We find that individual functions and multifunctionality are more strongly affected by the diversity of heterotrophs promoting decomposition and nutrient cycling, and by plant functional-trait diversity and composition, than by tree species richness. Moreover, cascading effects of higher trophic-level diversity on functions originating from lower trophic-level processes highlight that multitrophic biodiversity is key to understanding drivers of multifunctionality. A broader perspective on biodiversity-multifunctionality relationships is crucial for sustainable ecosystem management in light of non-random species loss and intensified biotic disturbances under future environmental change., Biodiversity change can impact ecosystem functioning, though this is primarily studied at lower trophic levels. Here, Schuldt et al. find that biodiversity components other than tree species richness are particularly important, and higher trophic level diversity plays a role in multifunctionality.
Published: 2018

20. Comparison of catchment scale 3D and 2.5D modelling of soil organic carbon stocks in Jiangxi Province, PR China

Author: Rentschler, Tobias, Gries, Philipp, Behrens, Thorsten, Bruelheide, Helge, Kühn, Peter, Seitz, Steffen, Shi, Xuezheng, Trogisch, Stefan, Scholten, Thomas, and Schmidt, Karsten
Subjects: Computer and Information Sciences, China, Science, Forests, Research and Analysis Methods, Polynomials, Ecosystems, Trees, Machine Learning, Soil, Mathematical and Statistical Techniques, Artificial Intelligence, Support Vector Machines, Computer Graphics, Computer Simulation, Terrain, Ecology, Ecology and Environmental Sciences, Organisms, Biology and Life Sciences, Eukaryota, Geomorphology, Biodiversity, Plants, Terrestrial Environments, Carbon, Algebra, Models, Chemical, Physical Sciences, Exponential Functions, Earth Sciences, Medicine, Mathematical Functions, Mathematics, Research Article
Abstract: As limited resources, soils are the largest terrestrial sinks of organic carbon. In this respect, 3D modelling of soil organic carbon (SOC) offers substantial improvements in the understanding and assessment of the spatial distribution of SOC stocks. Previous three-dimensional SOC modelling approaches usually averaged each depth increment for multi-layer two-dimensional predictions. Therefore, these models are limited in their vertical resolution and thus in the interpretability of the soil as a volume as well as in the accuracy of the SOC stock predictions. So far, only few approaches used spatially modelled depth functions for SOC predictions. This study implemented and evaluated an approach that compared polynomial, logarithmic and exponential depth functions using non-linear machine learning techniques, i.e. multivariate adaptive regression splines, random forests and support vector machines to quantify SOC stocks spatially and depth-related in the context of biodiversity and ecosystem functioning research. The legacy datasets used for modelling include profile data for SOC and bulk density (BD), sampled at five depth increments (0-5, 5-10, 10-20, 20-30, 30-50 cm). The samples were taken in an experimental forest in the Chinese subtropics as part of the biodiversity and ecosystem functioning (BEF) China experiment. Here we compared the depth functions by means of the results of the different machine learning approaches obtained based on multi-layer 2D models as well as 3D models. The main findings were (i) that 3rd degree polynomials provided the best results for SOC and BD (R2 = 0.99 and R2 = 0.98; RMSE = 0.36% and 0.07 g cm-3). However, they did not adequately describe the general asymptotic trend of SOC and BD. In this respect the exponential (SOC: R2 = 0.94; RMSE = 0.56%) and logarithmic (BD: R2 = 84; RMSE = 0.21 g cm-3) functions provided more reliable estimates. (ii) random forests with the exponential function for SOC correlated better with the corresponding 2.5D predictions (R2: 0.96 to 0.75), compared to the 3rd degree polynomials (R2: 0.89 to 0.15) which support vector machines fitted best. We recommend not to use polynomial functions with sparsely sampled profiles, as they have many turning points and tend to overfit the data on a given profile. This may limit the spatial prediction capacities. Instead, less adaptive functions with a higher degree of generalisation such as exponential and logarithmic functions should be used to spatially map sparse vertical soil profile datasets. We conclude that spatial prediction of SOC using exponential depth functions, in conjunction with random forests is well suited for 3D SOC stock modelling, and provides much finer vertical resolutions compared to 2.5D approaches.
Published: 2019

21. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

Author: Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., Reich, P. B., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K. G., Abegg, Meinrad, Yao, C. Yves Adou, Alberti, Giorgio, Zambrano, Angelica Almeyda, Alvarez-Davila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Anton-Fernandez, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo, Baker, Timothy, Balazy, Radomir, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith, Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo, Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J., Clark, David, Colletta, Gabriel, Condit, Richard, Coomes, David, Cornejo Valverde, Fernando, Corral-Rivas, Jose J., Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, Andre L., Decuyper, Mathieu, Derroire, Geraldine, DeVries, Ben, Djordjevic, Ilija, Ieda, Amaral, Dourdain, Aurelie, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adande Belarmain, Fayle, Tom M., Feldpausch, Ted R., Finer, Leena, Fischer, Markus, Fletcher, Christine, Fridman, Jonas, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Herold, Martin, Hillers, Annika, Honorio Coronado, Euridice N., Huber, Markus, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian, Joly, Carlos A., Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah, Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy, Kim, Hyun Seok, Kitayama, Kanehiro, Kohl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon, Lu, Huicui, Lukina, Natalia, Maitner, Brian, Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew Robert, Martin, Emanuel, Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa, Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, Maria G., Neill, David, Neldner, Victor, Nevenic, Radovan, Ngugi, Michael, Niklaus, Pascal, Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena, Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver, Piedade, Maria Teresa, Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Arevalo, Freddy Ramirez, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir, Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schongart, Jochen, Searle, Eric, Seben, Vladimir, Serra-Diaz, Josep M., Salas-Eljatib, Christian, Sheil, Douglas, Shvidenko, Anatoly, Silva-Espejo, Javier, Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonke, Bonaventure, Souza, Alexandre F., Sterenczak, Krzysztof, Svenning, Jens-Christian, Svoboda, Miroslav, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter, Usoltsev, Vladimir, Valladares, Fernando, van der Plas, Fons, Tran Van Do, Vasquez Martinez, Rodolfo, Verbeeck, Hans, Viana, Helder, Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James, Westerlund, Bertil, Wiser, Susan, Wittmann, Florian, Wortel, Verginia, Zagt, Roderick, Zawila-Niedzwiecki, Tomasz, Zhu, Zhi-Xin, Zo-Bi, Irie Casimir, Valladares, Fernando, Stanford University, Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Purdue University [West Lafayette], Beijing Forestry University, University of Oxford [Oxford], University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Western Sydney University, Wageningen University and Research [Wageningen] (WUR), Universitat de Lleida, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National Polytechnique Yamoussoukro, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Stanford University [Stanford], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), University of Minnesota [Twin Cities], Western Sydney University (UWS), Wageningen University and Research Centre [Wageningen] (WUR), Forest Science and Technology Centre of Catalonia, Food and Agricultural Organization of the United Nations (FAO), United Nations Organization, Forêts et Sociétés (Cirad-Es-UPR 105 Forêts et Sociétés), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Lorraine (UL), Steidinger B.S., Crowther T.W., Liang J., Van Nuland M.E., Werner G.D.A., Reich P.B., Nabuurs G., de-Miguel S., Zhou M., Picard N., Herault B., Zhao X., Zhang C., Routh D., Peay K.G., Abegg M., AdouYao C.Y., Alberti G., AlmeydaZambrano A., Alvarez-Davila E., Alvarez-Loayza P., Alves L.F., Ammer C., Anton-Fernandez C., Araujo-Murakami A., Arroyo L., Avitabile V., Aymard G., Baker T., Balazy R., Banki O., Barroso J., Bastian M., Bastin J.-F., Birigazzi L., Birnbaum P., Bitariho R., Boeckx P., Bongers F., Bouriaud O., Brancalion P.H.S., Brandl S., Brearley F.Q., Brienen R., Broadbent E., Bruelheide H., Bussotti F., Cazzolla Gatti R., Cesar R., Cesljar G., Chazdon R., Chen H.Y.H., Chisholm C., Cienciala E., Clark C.J., Clark D., Colletta G., Condit R., Coomes D., CornejoValverde F., Corral-Rivas J.J., Crim P., Cumming J., Dayanandan S., de Gasper A.L., Decuyper M., Derroire G., DeVries B., Djordjevic I., Ieda A., Dourdain A., Obiang N.L.E., Enquist B., Eyre T., Fandohan A.B., Fayle T.M., Feldpausch T.R., Finer L., Fischer M., Fletcher C., Fridman J., Frizzera L., Gamarra J.G.P., Gianelle D., Glick H.B., Harris D., Hector A., Hemp A., Hengeveld G., Herbohn J., Herold M., Hillers A., Honorio Coronado E.N., Huber M., Hui C., Cho H., Ibanez T., Jung I., Imai N., Jagodzinski A.M., Jaroszewicz B., Johannsen V., Joly C.A., Jucker T., Karminov V., Kartawinata K., Kearsley E., Kenfack D., Kennard D., Kepfer-Rojas S., Keppel G., Khan M.L., Killeen T., Kim H.S., Kitayama K., Kohl M., Korjus H., Kraxner F., Laarmann D., Lang M., Lewis S., Lu H., Lukina N., Maitner B., Malhi Y., Marcon E., Marimon B.S., Marimon-Junior B.H., Marshall A.R., Martin E., Martynenko O., Meave J.A., Melo-Cruz O., Mendoza C., Merow C., MonteagudoMendoza A., Moreno V., Mukul S.A., Mundhenk P., Nava-Miranda M.G., Neill D., Neldner V., Nevenic R., Ngugi M., Niklaus P., Oleksyn J., Ontikov P., Ortiz-Malavasi E., Pan Y., Paquette A., Parada-Gutierrez A., Parfenova E., Park M., Parren M., Parthasarathy N., Peri P.L., Pfautsch S., Phillips O., Piedade M.T., Piotto D., Pitman N.C.A., Polo I., Poorter L., Poulsen A.D., Poulsen J.R., Pretzsch H., RamirezArevalo F., Restrepo-Correa Z., Rodeghiero M., Rolim S., Roopsind A., Rovero F., Rutishauser E., Saikia P., Saner P., Schall P., Schelhaas M.-J., Schepaschenko D., Scherer-Lorenzen M., Schmid B., Schongart J., Searle E., Seben V., Serra-Diaz J.M., Salas-Eljatib C., Sheil D., Shvidenko A., Silva-Espejo J., Silveira M., Singh J., Sist P., Slik F., Sonke B., Souza A.F., Sterenczak K., Svenning J.-C., Svoboda M., Targhetta N., Tchebakova N., Steege H., Thomas R., Tikhonova E., Umunay P., Usoltsev V., Valladares F., van der Plas F., Van Do T., VasquezMartinez R., Verbeeck H., Viana H., Vieira S., von Gadow K., Wang H.-F., Watson J., Westerlund B., Wiser S., Wittmann F., Wortel V., Zagt R., Zawila-Niedzwiecki T., Zhu Z.-X., Zo-Bi I.C., Systems Ecology, Steidinger, BS, Crowther, TW, Liang, J, Van Nuland, ME, Werner, GDA, Reich, PB, Nabuurs, G, de-Miguel, S, Zhou, M, Picard, N, Herault, B, Zhao, X, Zhang, C, Routh, D, Peay, KG, Keppel, G, GFBI consortium, and Valladares, Fernando [0000-0002-5374-4682]
Subjects: symbiosi, 0106 biological sciences, Forest Ecology, SOM decomposition, biogeography, forest-tree symbioses, Bos- en Landschapsecologie, Biome, 01 natural sciences, forest-tree symbioses, Microbial ecology, Laboratory of Geo-information Science and Remote Sensing, K01 - Foresterie - Considérations générales, Bos- en Natuurbeleid, Forest and Landscape Ecology, Multidisciplinary, Ecology, forest ecosystems, PE&RC, séquestration du carbone, Biometris, Biogeography, Forêt, Écosystème forestier, Vegetatie, Bos- en Landschapsecologie, P33 - Chimie et physique du sol, Climate control, Forest Ecology, P40 - Météorologie et climatologie, Symbiose, 010603 evolutionary biology, Forest and Nature Conservation Policy, Symbiosis, Settore BIO/07 - ECOLOGIA, Forest ecology, Temperate climate, Symbioses, Life Science, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, Forest, climate, Vegetatie, biogeography, Changement climatique, decomposition, Vegetation, Forest inventory, симбиозы, P34 - Biologie du sol, FUNGI, климат, 15. Life on land, Arid, Forest Ecology and Forest Management, SOM decomposition, forest inventory plots, лесные экосистемы, Environmental science, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: [EN] The identity of the dominant root-associated microbial symbionts in a forest determines the ability of trees to access limiting nutrients from atmospheric or soil pools, sequester carbon and withstand the effects of climate change. Characterizing the global distribution of these symbioses and identifying the factors that control this distribution are thus integral to understanding the present and future functioning of forest ecosystems. Here we generate a spatially explicit global map of the symbiotic status of forests, using a database of over 1.1 million forest inventory plots that collectively contain over 28,000 tree species. Our analyses indicate that climate variables—in particular, climatically controlled variation in the rate of decomposition—are the primary drivers of the global distribution of major symbioses. We estimate that ectomycorrhizal trees, which represent only 2% of all plant species, constitute approximately 60% of tree stems on Earth. Ectomycorrhizal symbiosis dominates forests in which seasonally cold and dry climates inhibit decomposition, and is the predominant form of symbiosis at high latitudes and elevation. By contrast, arbuscular mycorrhizal trees dominate in aseasonal, warm tropical forests, and occur with ectomycorrhizal trees in temperate biomes in which seasonally warm-and-wet climates enhance decomposition. Continental transitions between forests dominated by ectomycorrhizal or arbuscular mycorrhizal trees occur relatively abruptly along climate-driven decomposition gradients; these transitions are probably caused by positive feedback effects between plants and microorganisms. Symbiotic nitrogen fixers—which are insensitive to climatic controls on decomposition (compared with mycorrhizal fungi)—are most abundant in arid biomes with alkaline soils and high maximum temperatures. The climatically driven global symbiosis gradient that we document provides a spatially explicit quantitative understanding of microbial symbioses at the global scale, and demonstrates the critical role of microbial mutualisms in shaping the distribution of plant species., This work was made possible by the Global Forest Biodiversity Database, which represents the work of over 200 independent investigators and their public and private funding agencies (see Supplementary Acknowledgements), Supplementary information is available for this paper at https://doi.org/10.1038/s41586-019-1128-0.
Published: 2019

22. Identifying the tree species compositions that maximize ecosystem functioning in European forests

Author: Baeten, Lander, Bruelheide, Helge, van der Plas, Fons, Kambach, Stephan, Ratcliffe, Sophia, Jucker, Tommaso, Allan, Eric, Ampoorter, Evy, Barbaro, Luc, Bastias, Cristina C, Bauhus, Jürgen, Benavides, Raquel, Bonal, Damien, Bouriaud, Olivier, and Joly, François-Xavier
Subjects: species interactions, productivity, Ecology, forest management, forestry, FunDivEUROPE, tree species mixtures, ecosystem multifunctionality, overyielding
Abstract: 1. Forest ecosystem functioning generally benefits from higher tree species richness, but variation within richness levels is typically large. This is mostly due to the contrasting performances of communities with different compositions. Evidence‐based understanding of composition effects on forest productivity, as well as on multiple other functions will enable forest managers to focus on the selection of species that maximise functioning, rather than with diversity per se. 2. We used a dataset of thirty ecosystem functions measured in stands with different species richness and composition in six European forest types. First, we quantified whether the compositions that maximise annual above ground wood production (productivity) generally also fulfil the multiple other ecosystem functions (multifunctionality). Then, we quantified the species identity effects and strength of interspecific interactions to identify the ‘best’ and ‘worst’ species composition for multifunctionality. Finally, we evaluated the real‐world frequency of occurrence of best and worst mixtures, using harmonised data from multiple national forest inventories. 3. The most productive tree species combinations also tended to express relatively high multifunctionality, although we found a relatively wide range of compositions with high or low average multifunctionality for the same level of productivity. Monocultures were distributed among the highest as well as the lowest performing compositions. The variation in functioning between compositions was generally driven by differences in the performance of the component species and, to a lesser extent, by particular interspecific interactions. Finally, we found that the most frequent species compositions in inventory data were monospecific stands and that the most common compositions showed below‐average multifunctionality and productivity. 4. Synthesis and applications. Species identity and composition effects are essential to the development of high‐performing production systems, for instance in forestry and agriculture. They therefore deserve great attention in the analysis and design of functional biodiversity studies if the aim is to inform ecosystem management. A management focus on tree productivity does not necessarily trade‐off against other ecosystem functions; high productivity and multifunctionality can be combined with an informed selection of tree species and species combinations.
Published: 2019

23. How do trees respond to species mixing in experimental compared to observational studies?

Author: Kambach, Stephan, Allan, Eric, Bilodeau‐Gauthier, Simon, Coomes, David A., Haase, Josephine, Jucker, Tommaso, Kunstler, Georges, Müller, Sandra, Nock, Charles, Paquette, Alain, Van der Plas, Fons, Ratcliffe, Sophia, Roger, Fabian, Ruiz‐Benito, Paloma, Scherer‐Lorenzen, Michael, Auge, Harald, Bouriaud, Olivier, Castagneyrol, Bastien, Dahlgren, Jonas, Gamfeldt, Lars, Jactel, Hervé, Kändler, Gerald, Koricheva, Julia, Lehtonen, Aleksi, Muys, Bart, Ponette, Quentin, Setiawan, Nuri Nurlaila, Van de Peer, Thomas, Verheyen, Kris, Zavala, Miguel A., Bruelheide, Helge, MARTIN LUTHER UNIVERSITY HALLE DEU, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), UNIVERSITY OF BERN CHE, MINISTRY OF FOREST QUEBEC CAN, UNIVERSITY OF CAMBRIDGE GBR, ETHZ ZURICH CHE, UNIVERSITY OF BRISTOL GBR, Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), UNIVERSITY OF FREIBURG DEU, UNIVERSITE DU QUEBEC MONTREAL CAN, LEIPZIG UNIVERSITY DEU, LUND UNIVERSITY SWE, UNIVERSIDAD DE ALCALA MADRID ESP, UFZ HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH HALLE DEU, University Stefan cel Mare of Suceava (USU), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Swedish University of Agricultural Sciences (SLU), UNIVERSITY OF GOTTENBURG DEU, FOREST RESEARCH INSTITUTE BADEN WURTTEMBERG FREIBURG DEU, ROYAL HOLLOWAY UNIVERSITY OF LONDON GBR, LUKE NATURAL RESOURCES INSTITUTE FIN, UNIVERSITY OF LEUVEN BEL, Université Catholique de Louvain = Catholic University of Louvain (UCL), UNIVERSITY OF GHENT BEL, and UCL - SST/ELI/ELIE - Environmental Sciences
Subjects: productivity, synthesis, INCREASES, Evolution, tree growth, ecosystem function and services, COMPETITION, 580 Plants (Botany), DIVERSITY-PRODUCTIVITY RELATIONSHIPS, FUNCTIONAL DIVERSITY, Behavior and Systematics, RICHNESS, lcsh:QH540-549.5, Biodiversity, Ecosystem function and services, FunDivEUROPE, National forest inventories, Productivity, Species richness, Synthesis, Tree growth, TreeDivNet, species richness, Original Research, Nature and Landscape Conservation, biodiversity, Ecology, national inventories, ECOSYSTEM FUNCTION, Biology and Life Sciences, WOOD PRODUCTION, Earth and Environmental Sciences, [SDE]Environmental Sciences, BIODIVERSITY LOSS, PATTERNS, GROWTH, national forest inventories, lcsh:Ecology, FunDivEurope
Abstract: For decades, ecologists have investigated the effects of tree species diversity on tree productivity at different scales and with different approaches ranging from observational to experimental study designs. Using data from five European national forest inventories (16,773 plots), six tree species diversity experiments (584 plots), and six networks of comparative plots (169 plots), we tested whether tree species growth responses to species mixing are consistent and therefore transferrable between those different research approaches. Our results confirm the general positive effect of tree species mixing on species growth (16% on average) but we found no consistency in species‐specific responses to mixing between any of the three approaches, even after restricting comparisons to only those plots that shared similar mixtures compositions and forest types. These findings highlight the necessity to consider results from different research approaches when selecting species mixtures that should maximize positive forest biodiversity and functioning relationships., Using data from five European national forest inventories, six tree species diversity experiments, and six networks of comparative plots, we confirmed a general positive of species mixing on tree growth. Species‐specific responses to mixing were inconsistent between any of the tree approaches, even after restricting comparisons to only those plots that shared similar mixtures compositions and forest types. We thereby highlight the necessity to consider results from different research approaches to select species mixtures for maximizing biodiversity effects on tree growth.
Published: 2019

24. Response to Comment on 'Impacts of species richness on productivity in a large-scale subtropical forest experiment'

Author: Bruelheide, Helge, Chen, Yuxin, Huang, Yuanyuan, Ma, Keping, Niklaus, Pascal A, Schmid, Bernhard, and University of Zurich
Subjects: 1000 Multidisciplinary, Multidisciplinary, UFSP13-8 Global Change and Biodiversity, Range (biology), Ecology, Biome, Biodiversity, Subtropics, Forests, Trees, 10127 Institute of Evolutionary Biology and Environmental Studies, 10122 Institute of Geography, Geography, Productivity (ecology), 570 Life sciences, biology, 590 Animals (Zoology), Ecosystem, Species richness, Tropical and subtropical moist broadleaf forests
Abstract: Yang et al . have raised criticism that the results reported by us would not be relevant for natural forests. We argue that productivity is positively related to species richness also in subtropical natural forests, and that both the species pools and the range of tree species richness used in our experiment are representative of many natural forests of this biome.
Published: 2018

25. Seasonal variation of secondary metabolites in nine different bryophytes

Author: Peters, Kristian, Gorzolka, Karin, Bruelheide, Helge, and Neumann, Steffen
Subjects: chemotaxonomy, ecometabolomics, biochemistry, phylogeny, ecology, environment, mosses, liverworts, bryophytes
Abstract: Bryophytes occur in almost all land ecosystems and contribute to global biogeochemical cycles, ecosystem functioning, and influence vegetation dynamics. As growth and biochemistry of bryophytes are strongly dependent on the season, we analyzed metabolic variation across seasons with regard to ecological characteristics and phylogeny. Using bioinformatics methods, we present an integrative and reproducible approach to connect ecology with biochemistry. Nine different bryophyte species were collected in three composite samples in four seasons. Untargeted liquid chromatography coupled with mass spectrometry (LC/MS) was performed to obtain metabolite profiles. Redundancy analysis, Pearson's correlation, Shannon diversity, and hierarchical clustering were used to determine relationships among species, seasons, ecological characteristics, and hierarchical clustering. Metabolite profiles of Marchantia polymorpha and Fissidens taxifolius which are species with ruderal life strategy (R‐selected) showed low seasonal variability, while the profiles of the pleurocarpous mosses and Grimmia pulvinata which have characteristics of a competitive strategy (C‐selected) were more variable. Polytrichum strictum and Plagiomnium undulatum had intermediary life strategies. Our study revealed strong species‐specific differences in metabolite profiles between the seasons. Life strategies, growth forms, and indicator values for light and soil were among the most important ecological predictors. We demonstrate that untargeted Eco‐Metabolomics provide useful biochemical insight that improves our understanding of fundamental ecological strategies.
Published: 2018

26. Tundra Trait Team:A database of plant traits spanning the tundra biome

Author: Bjorkman, Anne D., Myers-Smith, Isla H., Elmendorf, Sarah C., Normand, Signe, Thomas, Haydn J. D., Alatalo, Juha M., Alexander, Heather, Anadon-Rosell, Alba, Angers-Blondin, Sandra, Bai, Yang, Baruah, Gaurav, te Beest, Mariska, Berner, Logan, Bjork, Robert G., Blok, Daan, Bruelheide, Helge, Buchwal, Agata, Buras, Allan, Carbognani, Michele, Christie, Katherine, Collier, Laura S., Cooper, Elisabeth J., Cornelissen, J. Hans C., Dickinson, Katharine J. M., Dullinger, Stefan, Elberling, Bo, Eskelinen, Anu, Forbes, Bruce C., Frei, Esther R., Iturrate-Garcia, Maitane, Good, Megan K., Grau, Oriol, Green, Peter, Greve, Michelle, Grogan, Paul, Haider, Sylvia, Hajek, Tomas, Hallinger, Martin, Happonen, Konsta, Harper, Karen A., Heijmans, Monique M. P. D., Henry, Gregory H. R., Hermanutz, Luise, Hewitt, Rebecca E., Hollister, Robert D., Hudson, James, Huelber, Karl, Iversen, Colleen M., Jaroszynska, Francesca, Jimenez-Alfaro, Borja, Johnstone, Jill, Jorgensen, Rasmus Halfdan, Kaarlejarvi, Elina, Klady, Rebecca, Klimesova, Jitka, Korsten, Annika, Kuleza, Sara, Kulonen, Aino, Lamarque, Laurent J., Lantz, Trevor, Lavalle, Amanda, Lembrechts, Jonas J., Levesque, Esther, Little, Chelsea J., Luoto, Miska, Macek, Petr, Mack, Michelle C., Mathakutha, Rabia, Michelsen, Anders, Milbau, Ann, Molau, Ulf, Morgan, John W., Morsdorf, Martin Alfons, Nabe-Nielsen, Jacob, Nielsen, Sigrid Scholer, Ninot, Josep M., Oberbauer, Steven F., Olofsson, Johan, Onipchenko, Vladimir G., Petraglia, Alessandro, Pickering, Catherine, Prevey, Janet S., Rixen, Christian, Rumpf, Sabine B., Schaepman-Strub, Gabriela, Semenchuk, Philipp, Shetti, Rohan, Soudzilovskaia, Nadejda A., Spasojevic, Marko J., Speed, James David Mervyn, Street, Lorna E., Suding, Katharine, Tape, Ken D., Tomaselli, Marcello, Trant, Andrew, Treier, Urs A., Tremblay, Jean-Pierre, Tremblay, Maxime, Venn, Susanna, Virkkala, Anna-Maria, Vowles, Tage, Weijers, Stef, Wilmking, Martin, Wipf, Sonja, Zamin, Tara, Systems Ecology, Spatial Ecology and Global Change, and Environmental Sciences
Subjects: Ekologi, Chemistry, Arctic, plant functional traits, tundra, Ecology, Economics, Ecological Applications, alpine, VDP::Mathematics and natural science: 400::Zoology and botany: 480::Marine biology: 497, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497, Biology
Abstract: Motivation: The Tundra Trait Team (TTT) database includes field-based measurements of key traits related to plant form and function at multiple sites across the tundra biome. This dataset can be used to address theoretical questions about plant strategy and trade-offs, trait environment relationships and environmental filtering, and trait variation across spatial scales, to validate satellite data, and to inform Earth system model parameters. Main types of variable contained: The database contains 91,970 measurements of 18 plant traits. The most frequently measured traits (>1,000 observations each) include plant height, leaf area, specific leaf area, leaf fresh and dry mass, leaf dry matter content, leaf nitrogen, carbon and phosphorus content, leaf C:N and N:P, seed mass, and stem specific density. Spatial location and grain: Measurements were collected in tundra habitats in both the Northern and Southern Hemispheres, including Arctic sites in Alaska, Canada, Greenland, Fennoscandia and Siberia, alpine sites in the European Alps, Colorado Rockies, Caucasus, Ural Mountains, Pyrenees, Australian Alps, and Central Otago Mountains (New Zealand), and sub-Antarctic Marion Island. More than 99% of observations are georeferenced. Time period and grain: All data were collected between 1964 and 2018. A small number of sites have repeated trait measurements at two or more time periods. Major taxa and level of measurement: Trait measurements were made on 978 terrestrial vascular plant species growing in tundra habitats. Most observations are on individuals (86%), while the remainder represent plot or site means or maximums per species. Software format: csv file and GitHub repository with data cleaning scripts in R; contribution to TRY plant trait database (www.try-db.org) to be included in the next version release. 2Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark 3Senckenberg Gesellschaft fD?r Naturforschung, Biodiversity and Climate Research Centre (BiK?F), Frankfurt, Germany 4Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 5National Ecological Observatory Network, Boulder, Colorado 6Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado 7Arctic Research Center, Department of Bioscience, Aarhus University, Aarhus, Denmark 8Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Bioscience, Aarhus University, Aarhus, Denmark 9Department of Biological and Environmental Sciences, Qatar University, Doha, Qatar 10Department of Forestry, Forest and Wildlife Research Center, Mississippi State University, Mississippi 11Department of Evolutionary Biology, Ecology and Environmental Sciences, University of Barcelona, Barcelona, Spain 12Biodiversity Research Institute, University of Barcelona, Barcelona, Spain 13Institute of Botany and Landscape Ecology, Greifswald University, Greifswald, Germany 14Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna, China 15Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland 16Department of Ecology and Environmental Science, Ume� University, Ume�, Sweden 17Environmental Sciences, Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands 18School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona 19Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden 20Gothenburg Global Biodiversity Centre, GD?teborg, Sweden 21Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden 22Martin Luther University Halle?Wittenberg, Institute of Biology / Geobotany and Botanical Garden, Halle (Saale), Germany 23German Centre for Integrative Biodiversity Research (iDiv) Halle?Jena?Leipzig, Leipzig, Germany 24Adam Mickiewicz University, Institute of Geoecology and Geoinformation, Poznan, Poland 25University of Alaska Anchorage, Department of Biological Sciences, Anchorage, Alaska 26Technische Universit�t MD?nchen, Freising, Germany 27Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy 28The Alaska Department of Fish and Game, Anchorage, Alaska 29Department of Biology, Memorial University, St. John�s, Newfoundland and Labrador, Canada 30Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, UiT? The Arctic University of Norway, Troms�, Norway 31Systems Ecology, Department of Ecological Science, Vrije Universiteit, Amsterdam, The Netherlands 32Department of Botany, University of Otago, Dunedin, New Zealand 33Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria 34Center for Permafrost (CENPERM), Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark 35Department of Physiological Diversity, Helmholtz Centre for Environmental Research ? UFZ, Leipzig, Germany 36Department of Ecology and Genetics, University of Oulu, Oulu, Finland 37Arctic Centre, University of Lapland, Rovaniemi, Finland 38Swiss Federal Research Institute WSL, Birmensdorf, Switzerland 39Department of Geography, University of British Columbia, Vancouver, British Columbia, Canada 40Faculty of Science and Technology, Federation University, Ballarat, Victoria, Australia 41Global Ecology Unit, CREAF?CSIC?UAB, Bellaterra, Catalonia, Spain 42CREAF, Bellaterra, Cerdanyola del Vall�s, Catalonia, Spain 43Department of Ecology, Environment and Evolution, La Trobe University, Bundoora, Australia 44Department of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa 45Department of Biology, Queen�s University, Kingston, Ontario, Canada Scopus
Published: 2018

27. Linking root exudates to functional plant traits

Author: Herz, Katharina, Dietz, Sophie, Gorzolka, Karin, Haider, Sylvia, Jandt, Ute, Scheel, Dierk, and Bruelheide, Helge
Subjects: Ecological Metrics, lcsh:Medicine, Plant Science, Research and Analysis Methods, Biochemistry, Mathematical and Statistical Techniques, Metabolites, Grasses, Statistical Methods, lcsh:Science, Plant Communities, Principal Component Analysis, Ecology, Plant Biochemistry, Plant Anatomy, Plant Ecology, Ecology and Environmental Sciences, lcsh:R, Organisms, Biology and Life Sciences, Eukaryota, food and beverages, Species Diversity, Plants, Terrestrial Environments, Metabolism, Grasslands, Multivariate Analysis, Physical Sciences, Seeds, lcsh:Q, Mathematics, Statistics (Mathematics), Research Article
Abstract: Primary and secondary metabolites exuded by plant roots have mainly been studied under laboratory conditions, while knowledge of root exudate patterns of plants growing in natural communities is very limited. Focusing on ten common European grassland plant species, we asked to which degree exuded metabolite compositions are specific to species or growth forms (forbs and grasses), depend on environments and local neighbourhoods, and reflect traditional plant functional traits. Root exudates were collected under field conditions and analysed using a non-targeted gas chromatography coupled mass spectrometry (GC-MS) approach. In total, we annotated 153 compounds of which 36 were identified by structure and name as metabolites mainly derived from the primary metabolism. Here we show by using variance partitioning, that the composition of exuded polar metabolites was mostly explained by plot identity, followed by plant species identity while plant species composition of the local neighbourhood played no role. Total and root dry biomass explained the largest proportion of variance in exudate composition, with additional variance explained by traditional plant traits. Although the exudate composition was quite similar between the two growth forms, we found some metabolites that occurred only in one of the two growth forms. Our study demonstrated the feasibility of measuring polar exudates under non-sterile field conditions by mass spectrometry, which opens new avenues of research for functional plant ecology.
Published: 2018

28. Plant diversity effects on grassland productivity are robust to both nutrient enrichment and drought

Author: Craven, Dylan, Isbell, Forest, Manning, Pete, Connolly, John, Bruelheide, Helge, Ebeling, Anne, Roscher, Christiane, van Ruijven, Jasper, Weigelt, Alexandra, Wilsey, Brian, Beierkuhnlein, Carl, de Luca, Enrica, Griffin, John N., Hautier, Yann, Hector, Andy, Jentsch, Anke, Kreyling, Jürgen, Lanta, Vojtech, Loreau, Michel, Meyer, Sebastian T., Mori, Akira S., Naeem, Shahid, Palmborg, Cecilia, Wayne Polley, H., Reich, Peter B., Schmid, Bernhard, Siebenkäs, Alrun, Seabloom, Eric, Thakur, Madhav P., Tilman, David, Vogel, Anja, Eisenhauer, Nico, Ecology and Biodiversity, Sub Ecology and Biodiversity, Leipzig University, German Centre for Integrative Biodiversity Research (iDiv), University of Bern, University College Dublin [Dublin] (UCD), Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Wageningen University, Iowa State University (ISU), University of Bayreuth, Universität Zürich [Zürich] = University of Zurich (UZH), Swansea University, Utrecht University [Utrecht], University of Oxford [Oxford], Universität Greifswald - University of Greifswald, University of South Bohemia, Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Yokohama National University, Columbia University [New York], Swedish University of Agricultural Sciences (SLU), National Center for Cool and Cold Water Aquaculture, ARS-USDA, USDA-ARS : Agricultural Research Service, Western Sydney University, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Ecology and Biodiversity, and Sub Ecology and Biodiversity
Subjects: 0106 biological sciences, Soil nutrients, 010504 meteorology & atmospheric sciences, Biodiversity, drought, 580 Plants (Botany), Biochemistry, 01 natural sciences, Global change drivers, Resource reduction, global change drivers, Nutrient, Taverne, 2. Zero hunger, Biomass (ecology), Agricultural and Biological Sciences(all), Ecology, food and beverages, Articles, Eutrophication, PE&RC, Grassland, Droughts, Europe, Productivity (ecology), [SDE]Environmental Sciences, Plantenecologie en Natuurbeheer, soil nutrients, General Agricultural and Biological Sciences, Research Article, Plant Ecology and Nature Conservation, Biology, 010603 evolutionary biology, General Biochemistry, Genetics and Molecular Biology, Ecosystem, Plant Physiological Phenomena, 0105 earth and related environmental sciences, Drought, Biochemistry, Genetics and Molecular Biology(all), Resource amendment, 15. Life on land, resource reduction, plant diversity, Plant diversity, 13. Climate action, Complementarity (molecular biology), North America, Species richness, resource amendment, Genetics and Molecular Biology(all)
Abstract: Global change drivers are rapidly altering resource availability and reducing biodiversity. Here we evaluate the extent to which biodiversity buffers ecosystem responses to increases or decreases in resource availability. For both types of resource alterations we hypothesized that relative changes in primary productivity would be lower in more diverse plant communities i.e. we expected resistance to resource alterations to increase with biodiversity. Further we hypothesized that plant communities with legumes and grasses would exhibit contrasting responses to changes in resource availability. We tested both hypotheses using a meta analysis of 16 grassland experiments across North America and Europe that manipulate plant species richness and nutrient or water availability. We show that plant diversity strongly buffered the relative magnitude of community response to increases in resource availability but did not influence community response to decreases in resource availability. The presence of legumes reduced the impact of increased resource availability on plant productivity while that of grasses had the opposite effect. In both cases functional composition had no effect when resource availability was reduced. Our results suggest that the capacity of biodiversity to mitigate impacts of resource alterations is contingent upon whether resource availability is increased or decreased as well as functional composition.
Published: 2016

29. Fungal disease incidence along tree diversity gradients depends on latitude in European forests

Author: Nguyen, Diem, Castagneyrol, Bastien, Bruelheide, Helge, Bussotti, Filippo, Guyot, Virginie, Jactel, Hervé, Jaroszewicz, Bogdan, Valladares, Fernando, Stenlid, Jan, Boberg, Johanna, Consejo Superior de Investigaciones Científicas - CSIC (SPAIN), Deutsche Forschungsgemeinschaft - DFG (GERMANY), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Martin-Luther-Universität Halle-Wittenberg - MLU (GERMANY), Sveriges lantbruksuniversitet - SLU (SWEDEN), Université de Bordeaux (FRANCE), Università degli Studi di Firenze (ITALY), Uniwersytet Warszawski - UW (POLAND), Biodiversité Gènes et Communautés - BIOGECO (Bordeaux, France), Dynamiques et Ecologie des Paysages Agriforestiers - DYNAFOR (Castanet-Tolosan, France), Swedish University of Agricultural Sciences (SLU), Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de la Recherche Agronomique (INRA), German Centre for Integrative Biodiversity Research (iDiv), German Centre for Integrative Biodiversity Research, Martin-Luther-Universität Halle Wittenberg (MLU), Università degli Studi di Firenze [Firenze], Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Warsaw (UW), Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), and Institut National Polytechnique de Toulouse - INPT (FRANCE)
Subjects: 0106 biological sciences, Mediterranean climate, [SDE.MCG]Environmental Sciences/Global Changes, Biodiversité et Ecologie, Biology, Forests, 010603 evolutionary biology, 01 natural sciences, pathogène fongique, Fundiveurope, Abundance (ecology), forêt, Forest ecology, diversity gradient, europe, foliar fungal pathogen, forests, fundiveurope, latitudinal gradient, tree species richness, Foliar fungal pathogen, Forest, Milieux et Changements globaux, Diversity gradient, Europe, FunDivEUROPE, Latitudinal gradient, Tree species richness, Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation, Original Research, Forest Science, Taiga, Species diversity, 15. Life on land, Phylogenetic diversity, Microbiology (Microbiology in the medical area to be 30109), Threatened species, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract: European forests host a diversity of tree species that are increasingly threatened by fungal pathogens, which may have cascading consequences for forest ecosystems and their functioning. Previous experimental studies suggest that foliar and root pathogen abundance and disease severity decrease with increasing tree species diversity, but evidences from natural forests are rare. Here, we tested whether foliar fungal disease incidence was negatively affected by tree species diversity in different forest types across Europe. We measured the foliar fungal disease incidence on 16 different tree species in 209 plots in six European countries, representing a forest-type gradient from the Mediterranean to boreal forests. Forest plots of single species (monoculture plots) and those with different combinations of two to five tree species (mixed species plots) were compared. Specifically, we analyzed the influence of tree species richness, functional type (conifer vs. broadleaved) and phylogenetic diversity on overall fungal disease incidence. The effect of tree species richness on disease incidence varied with latitude and functional type. Disease incidence tended to increase with tree diversity, in particular in northern latitudes. Disease incidence decreased with tree species richness in conifers, but not in broadleaved trees. However, for specific damage symptoms, no tree species richness effects were observed. Although the patterns were weak, susceptibility of forests to disease appears to depend on the forest site and tree type., This project has received funding from the European Union’s Seventh Programme (FP7/2007–2013) under grant agreement No. 26517
Published: 2016

30. Jack-of-all-trades effects drive biodiversity-ecosystem multifunctionality relationships in European forests

Author: Van der Plas, Fons, Manning, Peter, Allan, Eric, Scherer-Lorenzen, Michael, Verheyen, Kris, Wirth, Christian, Zavala, Miguel Angel, Hector, Andy, Ampoorter, Evy, Baeten, Lander, Barbaro, Luc, Bauhus, Jürgen, Benavides, Raquel, Benneter, Adam, Berthold, Felix, Bonal, Damien, Bouriaud, Olivier, Bruelheide, Helge, Bussotti, Filippo, Carnol, Monique, Castagneyrol, Bastien, Charbonnier, Yohan, Coomes, David, Coppi, Andrea, Bastias, Cristina C., Muhie Dawud, Seid, De Wandeler, Hans, Domisch, Timo, Finér, Leena, Gessler, Arthur, Granier, André, Grossiord, Charlotte, Guyot, Virginie, Hättenschwiler, Stephan, Jactel, Hervé, Jaroszewicz, Bogdan, Joly, François-Xavier, Jucker, Tommaso, Koricheva, Julia, Milligan, Harriet, Müller, Sandra, Muys, Bart, Nguyen, Diem, Pollastrini, Martina, Raulund-Rasmussen, Karsten, Selvi, Federico, Stenlid, Jan, Valladares, Fernando, Vesterdal, Lars, Zielínski, Dawid, Fischer, Markus, Universidad de Alcalá. Departamento de Ciencias de la Vida, Bouriaud, Olivier [0000-0002-8046-466X], Nguyen, Diem [0000-0002-9680-5772], Apollo - University of Cambridge Repository, University of Bern, Senckenberg biodiversität und klima forschungszentrum (BIK-F), Forschungsinstitut Senckenberg (SGN), University of Freiburg [Freiburg], Universiteit Gent = Ghent University [Belgium] (UGENT), Universität Leipzig [Leipzig], German Centre for Integrative Biodiversity Research (iDiv), Universidad de Alcalá - University of Alcalá (UAH), University of Oxford [Oxford], Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Martin-Luther-Universität Halle Wittenberg (MLU), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Universitatea Stefan cel Mare Suceava (USU), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Université de Liège, University of Cambridge [UK] (CAM), Museo Nacional de Ciencias Naturales (MNCN), University of Copenhagen = Københavns Universitet (KU), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Natural Resources Institute Finland (LUKE), Institut fédéral de recherches WSL, Los Alamos National Laboratory (LANL), Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Uniwersytet Warszawski, Royal Holloway [University of London] (RHUL), Swedish University of Agricultural Sciences (SLU), Universidad Rey Juan Carlos [Madrid] (URJC), Universiteit Gent = Ghent University (UGENT), Universität Leipzig, University of Oxford, Università degli Studi di Firenze = University of Florence (UniFI), Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), University of Copenhagen = Københavns Universitet (UCPH), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Universiteit Gent [Ghent], Università degli Studi di Firenze [Firenze], Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Biodiversität und Klima Forschungszentrum - BiK-F (GERMANY), Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Martin-Luther-Universität Halle-Wittenberg - MLU (GERMANY), Universidad de Alcalá - UAH (SPAIN), Université de Bordeaux 1 (FRANCE), University of Cambridge (UNITED KINGDOM), Universidad Rey Juan Carlos - URJC (SPAIN), Universitatea Stefan cel Mare Suceava - USU (ROMANIA), Université de Liège (BELGIUM), Royal Holloway University of London - RHUL (UNITED KINGDOM), German Centre for Integrative Biodiversity Research - iDiv (GERMANY), Los Alamos National Laboratory - LANL (USA), Universität Leipzig (GERMANY), Luonnonvarakeskus - LUKE (FINLAND), Museo Nacional de Ciencias Naturales (SPAIN), Sveriges lantbruksuniversitet - SLU (SWEDEN), Forschungsanstalt für Wald, Schnee und Landschaft - WSL (SWITZERLAND), Universiteit Gent - UGENT (BELGIUM), University of Bern (SWITZERLAND), Københavns Universitet - KU (DENMARK), Università degli Studi di Firenze (ITALY), Universität Freiburg (GERMANY), Katholieke Universiteit Leuven - KU LEUVEN (BELGIUM), Université de Lorraine (FRANCE), University of Oxford (UNITED KINGDOM), Uniwersytet Warszawski - UW (POLAND), Biodiversité Gènes et Communautés - BIOGECO (Bordeaux, France), Ecologie et Ecophysiologie Forestières - EEF (Champenoux, France), Dynamiques et Ecologie des Paysages Agriforestiers - DYNAFOR (Castanet-Tolosan, France), and Institut National Polytechnique de Toulouse - INPT (FRANCE)
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Biodiversité et Ecologie, Biodiversity, SOIL MICROBIAL BIOMASS, General Physics and Astronomy, 580 Plants (Botany), Forests, 01 natural sciences, Ecosystem services, biodiversité, Trees, CARBON, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Multidisciplinary, CHALLENGES, Ecology, SPECIES RICHNESS, STATISTICAL INEVITABILITY, Europe, Biological sciences, Ecosystèmes, Multifunctionality, Biodiversité, Science, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, 010603 evolutionary biology, écosystème, General Biochemistry, Genetics and Molecular Biology, Article, Environmental science, multifonctionalité, Biodiversity and Ecology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Sylviculture, foresterie, Species Specificity, Forest ecology, Ecosystem, 0105 earth and related environmental sciences, PLANT DIVERSITY, Mechanism (biology), Environmental and Society, CURRENT KNOWLEDGE, General Chemistry, 15. Life on land, SERVICES, Models, Theoretical, EXTRACTION METHOD, NITROGEN, Medio Ambiente, Biochemistry, Genetics and Molecular Biology (all), Chemistry (all), Physics and Astronomy (all), Complementarity (molecular biology), Earth and Environmental Sciences, Spatial ecology, Species richness, Environnement et Société
Abstract: Fons van der Plas [et al.].- Received 8 September 2015, Accepted 19 February 2016, Published 24 March 2016, There is considerable evidence that biodiversity promotes multiple ecosystem functions (multifunctionality), thus ensuring the delivery of ecosystem services important for human well-being. However, the mechanisms underlying this relationship are poorly understood, especially in natural ecosystems. We develop a novel approach to partition biodiversity effects on multifunctionality into three mechanisms and apply this to European forest data. We show that throughout Europe, tree diversity is positively related with multifunctionality when moderate levels of functioning are required, but negatively when very high function levels are desired. For two well-known mechanisms, ‘complementarity’ and ‘selection’, we detect only minor effects on multifunctionality. Instead a third, so far overlooked mechanism, the ‘jack-of-all-trades’ effect, caused by the averaging of individual species effects on function, drives observed patterns. Simulations demonstrate that jack-of-all-trades effects occur whenever species effects on different functions are not perfectly correlated, meaning they may contribute to diversity–multifunctionality relationships in many of the world’s ecosystems.
Published: 2016

31. The impact of tree diversity on different aspects of insect herbivory along a global temperature gradient - A meta-analysis

Author: Kambach, Stephan, Kuhn, Ingolf, Castagneyrol, Bastien, Bruelheide, Helge, Martin-Luther-University Halle-Wittenberg, German Centre for Integrative Biodiversity Research (iDiv), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Institute of Biology/Geobotany and Botanical Garden, and Martin-Luther-Universität Halle Wittenberg (MLU)
Subjects: Insecta, [SDV]Life Sciences [q-bio], Population Dynamics, lcsh:Medicine, Plant Science, Forests, Trees, Mathematical and Statistical Techniques, forêt, lcsh:Science, Ecology, Temperature, Biodiversity, Plants, Terrestrial Environments, phénologie, Trophic Interactions, Insects, Community Ecology, Physical Sciences, condition climatique, Statistics (Mathematics), Research Article, Ecological Metrics, Arthropoda, biogeographie, Research and Analysis Methods, Ecosystems, Host-Parasite Interactions, Plant-Animal Interactions, Dendrology, Animals, Herbivory, structure arboréscente, Statistical Methods, Models, Statistical, Plant Ecology, lcsh:R, Ecology and Environmental Sciences, Organisms, Biology and Life Sciences, Plant-Herbivore Interactions, Species Diversity, insecte herbivore, Invertebrates, Sample Size, lcsh:Q, Animal Distribution, human activities, Mathematics, Meta-Analysis
Abstract: International audience; Forests with higher tree diversity are often assumed to be more resistant to insect herbivores but whether this effect depends on climatic conditions is so far poorly understood. In particular, a forest's resistance to herbivory may depend on mean annual temperature (MAT) as a key driver of plant and insect phenology. We carried out a global meta-analysis on regression coefficients between tree diversity and four aspects of insect herbivory, namely herbivore damage, abundance, incidence rate and species richness. To test for a potential shift of tree diversity effects along a global gradient of MAT we applied mixed-effects models and estimated grand mean effect sizes and the influence of MAT, experimental vs. observational studies and herbivores diet breadth. There was no overall effect of tree diversity on the pooled effect sizes of insect herbivore damage, abundance and incidence rate. However, when analysed separately, we found positive grand mean effect sizes for herbivore abundance and species richness. For herbivore damage and incidence rate we found a significant but opposing shift along a gradient of MAT indicating that with increasing MAT diversity effects on herbivore damage tend towards associational resistance whereas diversity effects on incidence rates tend towards associational susceptibility. Our results contradict previous meta-analyses reporting overall associational resistance to insect herbivores in mixed forests. Instead, we report that tree diversity effects on insect herbivores can follow a biogeographic pattern calling for further in-depth studies in this field.
Published: 2016

32. Linking Xylem Hydraulic Conductivity and Vulnerability to the Leaf Economics Spectrum—A Cross-Species Study of 39 Evergreen and Deciduous Broadleaved Subtropical Tree Species.

Author: Kröber, Wenzel, Zhang, Shouren, Ehmig, Merten, and Bruelheide, Helge
Subjects: XYLEM, HYDRAULIC conductivity, TROPICAL plants, PLANT species, PLANT stems, CARBON sequestration
Abstract: While the fundamental trade-off in leaf traits related to carbon capture as described by the leaf economics spectrum is well-established among plant species, the relationship of the leaf economics spectrum to stem hydraulics is much less known. Since carbon capture and transpiration are coupled, a close connection between leaf traits and stem hydraulics should be expected. We thus asked whether xylem traits that describe drought tolerance and vulnerability to cavitation are linked to particular leaf traits. We assessed xylem vulnerability, using the pressure sleeve technique, and anatomical xylem characteristics in 39 subtropical tree species grown under common garden conditions in the BEF-China experiment and tested for correlations with traits related to the leaf economics spectrum as well as to stomatal control, including maximum stomatal conductance, vapor pressure deficit at maximum stomatal conductance and vapor pressure deficit at which stomatal conductance is down-regulated. Our results revealed that specific xylem hydraulic conductivity and cavitation resistance were closely linked to traits represented in the leaf economic spectrum, in particular to leaf nitrogen concentration, as well as to log leaf area and leaf carbon to nitrogen ratio but not to any parameter of stomatal conductance. The study highlights the potential use of well-known leaf traits from the leaf economics spectrum to predict plant species' drought resistance. [ABSTRACT FROM AUTHOR]
Published: 2014
Full Text: View/download PDF

33. Tree diversity does not always improve resistance of forest ecosystems to drought.

Author: Grossiord, Charlotte, Granier, André, Ratcliffe, Sophia, Bouriaud, Olivier, Bruelheide, Helge, Chećko, Ewa, Forrester, David Ian, Dawud, Seid Muhie, Finér, Leena, Pollastrini, Martina, Scherer-Lorenzen, Michael, Valladares, Fernando, Bonal, Damien, and Gessler, Arthur
Subjects: PLANT diversity, BIODIVERSITY, FORESTS & forestry, ECOSYSTEMS, DROUGHTS & the environment
Abstract: Climate models predict an increase in the intensity and frequency of drought episodes in the Northern Hemisphere. Among terrestrial ecosystems, forests will be profoundly impacted by drier climatic conditions, with drastic consequences for the functions and services they supply. Simultaneously, biodiversity is known to support a wide range of forest ecosystem functions and services. However, whether biodiversity also improves the resistance of these ecosystems to drought remains unclear. We compared soil drought exposure levels in a total of 160 forest stands within five major forest types across Europe along a gradient of tree species diversity. We assessed soil drought exposure in each forest stand by calculating the stand-level increase in carbon isotope composition of late wood from a wet to a dry year (Δδ13CS). Δδ13CS exhibited a negative linear relationship with tree species diversity in two forest types, suggesting that species interactions in these forests diminished the drought exposure of the ecosystem. However, the other three forest types were unaffected by tree species diversity. We conclude that higher diversity enhances resistance to drought events only in drought-prone environments. Managing forest ecosystems for high tree species diversity does not necessarily assure improved adaptability to the more severe and frequent drought events predicted for the future. [ABSTRACT FROM AUTHOR]
Published: 2014
Full Text: View/download PDF

34. Biotic Interactions Overrule Plant Responses to Climate, Depending on the Species' Biogeography.

Author: Welk, Astrid, Welk, Erik, and Bruelheide, Helge
Subjects: SPACIAL distribution, BIOGEOGRAPHY, CLINES, PLANT defenses, PLANT ecology, PLANT species
Abstract: This study presents an experimental approach to assess the relative importance of climatic and biotic factors as determinants of species' geographical distributions. We asked to what extent responses of grassland plant species to biotic interactions vary with climate, and to what degree this variation depends on the species' biogeography. Using a gradient from oceanic to continental climate represented by nine common garden transplant sites in Germany, we experimentally tested whether congeneric grassland species of different geographic distribution (oceanic vs. continental plant range type) responded differently to combinations of climate, competition and mollusc herbivory. We found the relative importance of biotic interactions and climate to vary between the different components of plant performance. While survival and plant height increased with precipitation, temperature had no effect on plant performance. Additionally, species with continental plant range type increased their growth in more benign climatic conditions, while those with oceanic range type were largely unable to take a similar advantage of better climatic conditions. Competition generally caused strong reductions of aboveground biomass and growth. In contrast, herbivory had minor effects on survival and growth. Against expectation, these negative effects of competition and herbivory were not mitigated under more stressful continental climate conditions. In conclusion we suggest variation in relative importance of climate and biotic interactions on broader scales, mediated via species-specific sensitivities and factor-specific response patterns. Our results have important implications for species distribution models, as they emphasize the large-scale impact of biotic interactions on plant distribution patterns and the necessity to take plant range types into account. [ABSTRACT FROM AUTHOR]
Published: 2014
Full Text: View/download PDF

35. Tree Species Traits but Not Diversity Mitigate Stem Breakage in a Subtropical Forest following a Rare and Extreme Ice Storm.

Author: Nadrowski, Karin, Pietsch, Katherina, Baruffol, Martin, Both, Sabine, Gutknecht, Jessica, Bruelheide, Helge, Heklau, Heike, Kahl, Anja, Kahl, Tiemo, Niklaus, Pascal, Kröber, Wenzel, Liu, Xiaojuan, Mi, Xiangcheng, Michalski, Stefan, von Oheimb, Goddert, Purschke, Oliver, Schmid, Bernhard, Fang, Teng, Welk, Erik, and Wirth, Christian
Subjects: FORESTS & forestry, FOREST biodiversity, ICE storms, CLIMATE change, ECOSYSTEMS, LEAF area
Abstract: Future climates are likely to include extreme events, which in turn have great impacts on ecological systems. In this study, we investigated possible effects that could mitigate stem breakage caused by a rare and extreme ice storm in a Chinese subtropical forest across a gradient of forest diversity. We used Bayesian modeling to correct stem breakage for tree size and variance components analysis to quantify the influence of taxon, leaf and wood functional traits, and stand level properties on the probability of stem breakage. We show that the taxon explained four times more variance in individual stem breakage than did stand level properties; trees with higher specific leaf area (SLA) were less susceptible to breakage. However, a large part of the variation at the taxon scale remained unexplained, implying that unmeasured or undefined traits could be used to predict damage caused by ice storms. When aggregated at the plot level, functional diversity and wood density increased after the ice storm. We suggest that for the adaption of forest management to climate change, much can still be learned from looking at functional traits at the taxon level. [ABSTRACT FROM AUTHOR]
Published: 2014
Full Text: View/download PDF

36. Designing forest biodiversity experiments: general considerations illustrated by a new large experiment in subtropical China.

Author: Bruelheide, Helge, Nadrowski, Karin, Assmann, Thorsten, Bauhus, Jürgen, Both, Sabine, Buscot, François, Chen, Xiao‐Yong, Ding, Bingyang, Durka, Walter, Erfmeier, Alexandra, Gutknecht, Jessica L. M., Guo, Dali, Guo, Liang‐Dong, Härdtle, Werner, He, Jin‐Sheng, Klein, Alexandra‐Maria, Kühn, Peter, Liang, Yu, Liu, Xiaojuan, and Michalski, Stefan
Subjects: FOREST biodiversity, CARBON sequestration in forests, FOREST management, GRASSLANDS, ECOLOGY
Abstract: Biodiversity-ecosystem functioning ( BEF) experiments address ecosystem-level consequences of species loss by comparing communities of high species richness with communities from which species have been gradually eliminated. BEF experiments originally started with microcosms in the laboratory and with grassland ecosystems. A new frontier in experimental BEF research is manipulating tree diversity in forest ecosystems, compelling researchers to think big and comprehensively., We present and discuss some of the major issues to be considered in the design of BEF experiments with trees and illustrate these with a new forest biodiversity experiment established in subtropical China ( Xingangshan, Jiangxi Province) in 2009/2010. Using a pool of 40 tree species, extinction scenarios were simulated with tree richness levels of 1, 2, 4, 8 and 16 species on a total of 566 plots of 25·8 × 25·8 m each., The goal of this experiment is to estimate effects of tree and shrub species richness on carbon storage and soil erosion; therefore, the experiment was established on sloped terrain. The following important design choices were made: (i) establishing many small rather than fewer larger plots, (ii) using high planting density and random mixing of species rather than lower planting density and patchwise mixing of species, (iii) establishing a map of the initial 'ecoscape' to characterize site heterogeneity before the onset of biodiversity effects and (iv) manipulating tree species richness not only in random but also in trait-oriented extinction scenarios., Data management and analysis are particularly challenging in BEF experiments with their hierarchical designs nesting individuals within-species populations within plots within-species compositions. Statistical analysis best proceeds by partitioning these random terms into fixed-term contrasts, for example, species composition into contrasts for species richness and the presence of particular functional groups, which can then be tested against the remaining random variation among compositions., We conclude that forest BEF experiments provide exciting and timely research options. They especially require careful thinking to allow multiple disciplines to measure and analyse data jointly and effectively. Achieving specific research goals and synergy with previous experiments involves trade-offs between different designs and requires manifold design decisions. [ABSTRACT FROM AUTHOR]
Published: 2014
Full Text: View/download PDF

37. Forest Age and Plant Species Composition Determine the Soil Fungal Community Composition in a Chinese Subtropical Forest.

Author: Wu, Yu Ting, Wubet, Tesfaye, Trogisch, Stefan, Both, Sabine, Scholten, Thomas, Bruelheide, Helge, and Buscot, François
Subjects: PLANT species, CHEMICAL composition of plants, SOIL fungi, PLANT diversity, FUNGAL communities, TROPICAL plants, PLANT communities, PLANT-soil relationships
Abstract: Fungal diversity and community composition are mainly related to soil and vegetation factors. However, the relative contribution of the different drivers remains largely unexplored, especially in subtropical forest ecosystems. We studied the fungal diversity and community composition of soils sampled from 12 comparative study plots representing three forest age classes (Young: 10–40 yrs; Medium: 40–80 yrs; Old: ≥80 yrs) in Gutianshan National Nature Reserve in South-eastern China. Soil fungal communities were assessed employing ITS rDNA pyrotag sequencing. Members of Basidiomycota and Ascomycota dominated the fungal community, with 22 putative ectomycorrhizal fungal families, where Russulaceae and Thelephoraceae were the most abundant taxa. Analysis of similarity showed that the fungal community composition significantly differed among the three forest age classes. Forest age class, elevation of the study plots, and soil organic carbon (SOC) were the most important factors shaping the fungal community composition. We found a significant correlation between plant and fungal communities at different taxonomic and functional group levels, including a strong relationship between ectomycorrhizal fungal and non-ectomycorrhizal plant communities. Our results suggest that in subtropical forests, plant species community composition is the main driver of the soil fungal diversity and community composition. [ABSTRACT FROM AUTHOR]
Published: 2013
Full Text: View/download PDF

38. The Role of Propagule Pressure, Genetic Diversity and Microsite Availability for Senecio vernalis Invasion.

Author: Erfmeier, Alexandra, Hantsch, Lydia, and Bruelheide, Helge
Subjects: PLANT genetics, PLANT diversity, PLANT species, PLANT colonization, PLANT population genetics, PLANT growth, PLANT mechanics, PLANT ecology
Abstract: Genetic diversity is supposed to support the colonization success of expanding species, in particular in situations where microsite availability is constrained. Addressing the role of genetic diversity in plant invasion experimentally requires its manipulation independent of propagule pressure. To assess the relative importance of these components for the invasion of Senecio vernalis, we created propagule mixtures of four levels of genotype diversity by combining seeds across remote populations, across proximate populations, within single populations and within seed families. In a first container experiment with constant Festuca rupicola density as matrix, genotype diversity was crossed with three levels of seed density. In a second experiment, we tested for effects of establishment limitation and genotype diversity by manipulating Festuca densities. Increasing genetic diversity had no effects on abundance and biomass of S. vernalis but positively affected the proportion of large individuals to small individuals. Mixtures composed from proximate populations had a significantly higher proportion of large individuals than mixtures composed from within seed families only. High propagule pressure increased emergence and establishment of S. vernalis but had no effect on individual growth performance. Establishment was favoured in containers with Festuca, but performance of surviving seedlings was higher in open soil treatments. For S. vernalis invasion, we found a shift in driving factors from density dependence to effects of genetic diversity across life stages. While initial abundance was mostly linked to the amount of seed input, genetic diversity, in contrast, affected later stages of colonization probably via sampling effects and seemed to contribute to filtering the genotypes that finally grew up. In consequence, when disentangling the mechanistic relationships of genetic diversity, seed density and microsite limitation in colonization of invasive plants, a clear differentiation between initial emergence and subsequent survival to juvenile and adult stages is required. [ABSTRACT FROM AUTHOR]
Published: 2013
Full Text: View/download PDF

39. Kinetic Energy of Throughfall in Subtropical Forests of SE China – Effects of Tree Canopy Structure, Functional Traits, and Biodiversity.

Author: Geißler, Christian, Nadrowski, Karin, Kühn, Peter, Baruffol, Martin, Bruelheide, Helge, Schmid, Bernhard, and Scholten, Thomas
Subjects: KINETIC energy, SOIL erosion, PLANT canopies, LEAF area index, PLANT diversity, SOIL ecology, GEOMORPHOLOGY
Abstract: Throughfall kinetic energy (TKE) plays an important role in soil erosion in forests. We studied TKE as a function of biodiversity, functional diversity as well as structural stand variables in a secondary subtropical broad-leaved forest in the Gutianshan National Nature Reserve (GNNR) in south-east China, a biodiversity hotspot in the northern hemisphere with more than 250 woody species present. Using a mixed model approach we could identify significant effects of all these variables on TKE: TKE increased with rarefied tree species richness and decreased with increasing proportion of needle-leaved species and increasing leaf area index (LAI). Furthermore, for average rainfall amounts TKE was decreasing with tree canopy height whereas for high rainfall amounts this was not the case. The spatial pattern of throughfall was stable across several rain events. The temporal variation of TKE decreased with rainfall intensity and increased with tree diversity. Our results show that more diverse forest stands over the season have to cope with higher cumulative raindrop energy than less diverse stands. However, the kinetic energy (KE) of one single raindrop is less predictable in diverse stands since the variability in KE is higher. This paper is the first to contribute to the understanding of the ecosystem function of soil erosion prevention in diverse subtropical forests. [ABSTRACT FROM AUTHOR]
Published: 2013
Full Text: View/download PDF

40. Long-term datasets: From descriptive to predictive data using ecoinformatics.

Author: Bekker, Renée, van der Maarel, Eddy, Bruelheide, Helge, and Woods, Kerry
Subjects: VEGETATION management, ECOLOGY, BOTANY -- Congresses, BIOGEOGRAPHY, BIOINFORMATICS, WILDLIFE conservation, DATABASES, BIODIVERSITY, COMPUTER network resources
Abstract: This Special Feature includes contributions on data-processing of large ecological datasets under the heading ecoinformatics. Herewith the latter term is now also established in the Journal of Vegetation Science. Ecoinfomatics is introduced as a rapid growing field within community ecology which is generating exciting new developments in ecology and in particular vegetation ecology. In our field, ecoinformatics deals with the understanding of patterns of species distributions at local and regional scales, and on the assemblages of species in relation to their properties, the local environment and their distribution in the region. Community ecology using ecoinformatics is related to bioinformatics, community ecology, biogeography and macroecology. We make clear how ecoinformatics in vegetation science and particularly the IAVS Working Group on Ecoinformatics has developed from the work of the old Working Group for Data Processing which was active during the 1970s and 1980s. Recent developments, including the creation of TURBOVEG and SynBioSys in Europa and VEGBANK in the USA, form a direct link with these pioneer activities, both scientifically and personally. The contributions collected in this Special Feature present examples of seco-infeveral types of the use of databases and the application of programmes and models. The main types are the study of long-term vegetation dynamics in different cases of primary and secondary succession and the understanding of successional developments in terms of species traits. Among the future developments of great significance we mention the use of a variety of different large datasets for the study of the distribution and ecology and conservation of rare and threatened species. [ABSTRACT FROM AUTHOR]
Published: 2007
Full Text: View/download PDF

41. ORIGINAL ARTICLE Using standardized sampling designs from population ecology to assess biodiversity patterns of therophyte vegetation across scales.

Author: Kluth, Christian and Bruelheide, Helge
Subjects: *ANNUALS (Plants), *PLANT species diversity, *SPECIES, *SPECIES diversity, *ECOLOGY
Abstract: The analysis of diversity across multiple scales is hampered by methodological difficulties resulting from the use of different sampling methods at different scales and by the application of different definitions of the communities to be sampled at different scales. It is our aim to analyse diversity in a nested hierarchy of scales by applying a formalized sampling concept used in population ecology when analysing population structure. This concept involved a precise definition of the sampled vegetation type by the presence of a target species, in our case Hornungia petraea. We compared separate indices of inventory diversity (i.e. number of species) and differentiation diversity (i.e. extent of change in species composition or dissimilarity) with indices derived from species accumulation curves and related diversity patterns to topographical plot characteristics such as area and distance. Ten plots were established systematically over a distance of 100 km each in the distribution centre of H. petraea in Italy (i.e. Marche and Umbria) and in a peripheral exclave in Germany (i.e. Thuringia and Saxony-Anhalt). We used a nested sampling design of 10 random subplots within plots and 10 systematically placed plots within regions. Internal α-diversity (species richness) and internal β-diversity (dissimilarity) were calculated on the basis of subplots, α-, β- and γ-diversity on the basis of plots in Italy and Germany. In addition, indices of inventory diversity and differentiation diversity were derived by fitting species accumulation curves to the Michaelis–Menten equation. There was no significant difference in the internal α-diversity between German and Italian plots but the α- and γ-diversity were higher in Italy than in Germany. In Germany, the internal β-diversity and β-diversity were lower than in Italy. The differentiation diversity increased with increasing scale from subplots over plots to regions. The same results were obtained by calculating species accumulation curves. Significant positive correlations were encountered between the internal α-diversity and α-diversity in both countries, while the internal β-diversity and internal α-diversity showed a correlation only for the Italian plots. Similarity decay was found for German plots with respect to inter-plot distance and for Italian plots with respect to altitudinal difference and to a smaller degree to distance between plots. The design chosen and the consistent analysis of species accumulation curves by the Michaelis–Menten equation yielded consistent results over different scales. The specific therophyte vegetation type in this study reflected diversity patterns also observed in other studies, e.g. a greater differentiation diversity in central than in peripheral habitats and a trend of increasing species richness towards lower altitudes. No asymptotic saturation of species richness between different scales was observed. Indications were found that the absolute level of inventory diversity at a particular scale and the completeness of the sampling procedure are the main clues for explaining the relationship between inventory and differentiation diversity at this particular scale. [ABSTRACT FROM AUTHOR]
Published: 2004
Full Text: View/download PDF

42. Ellenberg-type indicator values for European vascular plant species

Author: Lubomír, Tichý, Irena, Axmanová, Jürgen, Dengler, Riccardo, Guarino, Florian, Jansen, Gabriele, Midolo, Nobis, Michael P., Koenraad, Van&nbsp, Meerbeek, Svetlana, Aćić, Attorre, Fabio, Erwin, Bergmeier, Idoia, Biurrun, Gianmaria, Bonari, Helge, Bruelheide, Juan Antonio Campos, Andraž, Čarni, Alessandro, Chiarucci, Mirjana, Ćuk, Renata, Ćušterevska, Yakiv, Didukh, Daniel, Dítě, Zuzana, Dítě, Tetiana, Dziuba, Fanelli, Giuliano, Eduardo, Fernández‐pascual, Emmanuel, Garbolino, Gavilán, Rosario G., Jean‐claude, Gégout, Ulrich, Graf, Behlül, Güler, Michal, Hájek, Hennekens, Stephan M., Ute, Jandt, Anni, Jašková, Borja, Jiménez‐alfaro, Philippe, Julve, Stephan, Kambach, Dirk Nikolaus Karger, Gerhard, Karrer, Ali, Kavgacı, Ilona, Knollová, Anna, Kuzemko, Filip, Küzmič, Flavia, Landucci, Attila, Lengyel, Jonathan, Lenoir, Corrado, Marcenò, Jesper Erenskjold Moeslund, Pavel, Novák, Aaron, Pérez‐haase, Tomáš, Peterka, Remigiusz, Pielech, Pignatti, Alessandro, Valerijus, Rašomavičius, Solvita, Rūsiņa, Arne, Saatkamp, Urban, Šilc, Željko, Škvorc, Jean‐paul, Theurillat, Thomas, Wohlgemuth, Milan, Chytrý, Tichy L., Axmanova I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., VanMeerbeek K., Acic S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Carni A., Chiarucci A., Cuk M., Custerevska R., Didukh Y., Dite D., Dite Z., Dziuba T., Fanelli G., Fernandez-Pascual E., Garbolino E., Gavilan R.G., Gegout J.-C., Graf U., Guler B., Hajek M., Hennekens S.M., Jandt U., Jaskova A., Jimenez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgaci A., Knollova I., Kuzemko A., Kuzmic F., Landucci F., Lengyel A., Lenoir J., Marceno C., Moeslund J.E., Novak P., Perez-Haase A., Peterka T., Pielech R., Pignatti A., Rasomavicius V., Rusina S., Saatkamp A., Silc U., Skvorc Z., Theurillat J.-P., Wohlgemuth T., Chytry M., Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández‐Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean‐Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez‐Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolau, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez‐Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valeriju, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean‐Paul, Wohlgemuth, Thoma, and Chytrý, Milan
Subjects: Vascular plant, bioindication, Ellenberg indicator values, light, moisture, nutrients, reaction, salinity, temperature, vascular plants, Bos- en Landschapsecologie, Environmental Sciences & Ecology, Plant Science, MOISTURE, RICHNESS, FORESTS, GRADIENT, ECOLOGICAL BEHAVIOR, Forest and Landscape Ecology, 577: Ökologie, Vegetatie, Ellenberg indicator value, Vegetation, Science & Technology, NORTH, Ecology, Plant Sciences, SHIFTS, Forestry, bioindication, Ellenberg indicator values, light, moisture, nutrients, reaction, salinity, temperature, vascular plants, REGIONS, 580: Pflanzen (Botanik), Settore BIO/03 - Botanica Ambientale E Applicata, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, Life Sciences & Biomedicine, Nutrient
Abstract: This is a dataset of Ellenberg-type indicator values for European vascular plant species described in this article: Tichý L., Axmanová I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., Van Meerbeek K., Aćić S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Čarni A., Chiarucci A., Ćuk M., Ćušterevska M., Didukh Y., Dítě D., Dítě Z., Dziuba T., Fanelli G., Fernández-Pascual E., Garbolino E., Gavilán R.G., Gégout J.-C., Graf U., Güler B., Hájek M., Hennekens S.M., Jandt U., Jašková A., Jiménez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgacı A., Knollová I., Kuzemko A., Küzmič F., Landucci F., Lengyel A., Lenoir J., Marcenò C., Moeslund J.E., Novák P., Pérez-Haase A., Peterka T., Pielech R., Pignatti A., Rašomavičius V., Rūsiņa S., Saatkamp A., Šilc U., Škvorc Ž., Theurillat J.-P., Wohlgemuth T. & Chytrý M. (2023) Ellenberg-type indicator values for European vascular plant species. Journal of Vegetation Science, 34, e13168. https://doi.org/10.1111/jvs.13168 The dataset contains: 1) Harmonized Ellenberg-type indicator values for light, temperature, moisture, reaction, nutrients, and salinity for European vascular plants. 2) Original indicator values from 13 datasets of Ellenberg-type indicator values: - Germany (Ellenberg & Leuschner 2010) - Austria (Karrer 1992) - Cantabrian Range (Jiménez-Alfaro et al. 2021) - Czech Republic (Chytrý et al. 2018) - European mires (Hájek et al. 2020) - France (Julve 2015) - Great Britain (Hill et al. 2000) - Greece (South Aegean) (Böhling et al. 2002) - Hungary (Borhidi 1995) - Italy (Guarino & La Rosa 2019, modified) - Saline habitats (Dítě et al. 2023) - Switzerland and the Alps (Landolt et al. 2010) - Ukraine (Didukh 2011) 3) Species nomenclature is standardized according to the Euro+Med PlantBase (http://europlusmed.org)., The final version of the paper (accepted 8th Dec 2022; published 22nd Dec 2022). Difference from version 1.0: Minor changes in newly added species values calculated from co-occurrence with other species in the EVA database. They were corrected using straight-line calibration.
Published: 2022
Full Text: View/download PDF

43. Distance decay 2.0. A global synthesis of taxonomic and functional turnover in ecological communities

Author: Caio Graco‐Roza, Sonja Aarnio, Nerea Abrego, Alicia T. R. Acosta, Janne Alahuhta, Jan Altman, Claudia Angiolini, Jukka Aroviita, Fabio Attorre, Lars Baastrup‐Spohr, José J. Barrera‐Alba, Jonathan Belmaker, Idoia Biurrun, Gianmaria Bonari, Helge Bruelheide, Sabina Burrascano, Marta Carboni, Pedro Cardoso, José C. Carvalho, Giuseppe Castaldelli, Morten Christensen, Gilsineia Correa, Iwona Dembicz, Jürgen Dengler, Jiri Dolezal, Patricia Domingos, Tibor Erös, Carlos E. L. Ferreira, Goffredo Filibeck, Sergio R. Floeter, Alan M. Friedlander, Johanna Gammal, Anna Gavioli, Martin M. Gossner, Itai Granot, Riccardo Guarino, Camilla Gustafsson, Brian Hayden, Siwen He, Jacob Heilmann‐Clausen, Jani Heino, John T. Hunter, Vera L. M. Huszar, Monika Janišová, Jenny Jyrkänkallio‐Mikkola, Kimmo K. Kahilainen, Julia Kemppinen, Łukasz Kozub, Carla Kruk, Michel Kulbiki, Anna Kuzemko, Peter Christiaan le Roux, Aleksi Lehikoinen, Domênica Teixeira de Lima, Angel Lopez‐Urrutia, Balázs A. Lukács, Miska Luoto, Stefano Mammola, Marcelo M. Marinho, Luciana S. Menezes, Marco Milardi, Marcela Miranda, Gleyci A. O. Moser, Joerg Mueller, Pekka Niittynen, Alf Norkko, Arkadiusz Nowak, Jean P. Ometto, Otso Ovaskainen, Gerhard E. Overbeck, Felipe S. Pacheco, Virpi Pajunen, Salza Palpurina, Félix Picazo, Juan Antonio Campos, Iván F. Rodil, Francesco M. Sabatini, Shira Salingré, Michele De Sanctis, Angel M. Segura, Lucia H. S. da Silva, Zora D. Stevanovic, Grzegorz Swacha, Anette Teittinen, Kimmo T. Tolonen, Ioannis Tsiripidis, Leena Virta, Beixin Wang, Jianjun Wang, Wolfgang Weisser, Yuan Xu, Janne Soininen, Graco-Roza C., Aarnio S., Abrego N., Acosta A.T.R., Alahuhta J., Altman J., Angiolini C., Aroviita J., Attorre F., Baastrup-Spohr L., Barrera-Alba J.J., Belmaker J., Biurrun I., Bonari G., Bruelheide H., Burrascano S., Carboni M., Cardoso P., Carvalho J.C., Castaldelli G., Christensen M., Correa G., Dembicz I., Dengler J., Dolezal J., Domingos P., Eros T., Ferreira C.E.L., Filibeck G., Floeter S.R., Friedlander A.M., Gammal J., Gavioli A., Gossner M.M., Granot I., Guarino R., Gustafsson C., Hayden B., He S., Heilmann-Clausen J., Heino J., Hunter J.T., Huszar V.L.M., Janisova M., Jyrkankallio-Mikkola J., Kahilainen K.K., Kemppinen J., Kozub L., Kruk C., Kulbiki M., Kuzemko A., Christiaan le Roux P., Lehikoinen A., Teixeira de Lima D., Lopez-Urrutia A., Lukacs B.A., Luoto M., Mammola S., Marinho M.M., Menezes L.S., Milardi M., Miranda M., Moser G.A.O., Mueller J., Niittynen P., Norkko A., Nowak A., Ometto J.P., Ovaskainen O., Overbeck G.E., Pacheco F.S., Pajunen V., Palpurina S., Picazo F., Prieto J.A.C., Rodil I.F., Sabatini F.M., Salingre S., De Sanctis M., Segura A.M., da Silva L.H.S., Stevanovic Z.D., Swacha G., Teittinen A., Tolonen K.T., Tsiripidis I., Virta L., Wang B., Wang J., Weisser W., Xu Y., Soininen J., Suomen ympäristökeskus, The Finnish Environment Institute, Department of Geosciences and Geography, Plant Production Sciences, Department of Agricultural Sciences, Zoology, Tvärminne Benthic Ecology Team, Marine Ecosystems Research Group, Ecosystems and Environment Research Programme, Biological stations, Tvärminne Zoological Station, Faculty Common Matters (Faculty of Biology and Environmental Sciences), Helsinki Institute of Sustainability Science (HELSUS), BioGeoClimate Modelling Lab, Finnish Museum of Natural History, Biosciences, Organismal and Evolutionary Biology Research Programme, Otso Ovaskainen / Principal Investigator, European Commission, Anna Kuzemko, Caio Graco Rodrigues Leandro Roza, Pedro Cardoso, Lars Baastrup-Spohr, Otso Ovaskainen, Sergio Floeter, Lukasz Kozub, Miska Luoto, Jianjun Wang, Aleksi Lehikoinen, Janne Soininen, Janne Alahuhta, Kimmo Kahilainen, Pekka Niittynen, Ivan Rodil, Iwona Dembicz, Claudia Angiolini, Julia Kemppinen, Fabio Attorre, Idoia Biurrun, Jukka Aroviita, Ioannis Tsiripidis, Riccardo Guarino, Jürgen Dengler, Jani Heino, Gleyci A. Moser, Félix Picazo, Lúcia H. S. Silva, Alicia T. R. Acosta, Jean Pierre Ometto, Camilla Gustafsson, Graco‐Roza, Caio, Aarnio, Sonja, Abrego, Nerea, Acosta, Alicia T. R., Alahuhta, Janne, Altman, Jan, Angiolini, Claudia, Aroviita, Jukka, Attorre, Fabio, Baastrup‐Spohr, Lar, Barrera‐Alba, José J., Belmaker, Jonathan, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Burrascano, Sabina, Carboni, Marta, Cardoso, Pedro, Carvalho, José C., Castaldelli, Giuseppe, Christensen, Morten, Correa, Gilsineia, Dembicz, Iwona, Dengler, Jürgen, Dolezal, Jiri, Domingos, Patricia, Erös, Tibor, Ferreira, Carlos E. L., Filibeck, Goffredo, Floeter, Sergio R., Friedlander, Alan M., Gammal, Johanna, Gavioli, Anna, Gossner, Martin M., Granot, Itai, Guarino, Riccardo, Gustafsson, Camilla, Hayden, Brian, He, Siwen, Heilmann‐Clausen, Jacob, Heino, Jani, Hunter, John T., Huszar, Vera L. M., Janišová, Monika, Jyrkänkallio‐Mikkola, Jenny, Kahilainen, Kimmo K., Kemppinen, Julia, Kozub, Łukasz, Kruk, Carla, Kulbiki, Michel, Kuzemko, Anna, Christiaan le Roux, Peter, Lehikoinen, Aleksi, Teixeira de Lima, Domênica, Lopez‐Urrutia, Angel, Lukács, Balázs A., Luoto, Miska, Mammola, Stefano, Marinho, Marcelo M., Menezes, Luciana S., Milardi, Marco, Miranda, Marcela, Moser, Gleyci A. O., Mueller, Joerg, Niittynen, Pekka, Norkko, Alf, Nowak, Arkadiusz, Ometto, Jean P., Ovaskainen, Otso, Overbeck, Gerhard E., Pacheco, Felipe S., Pajunen, Virpi, Palpurina, Salza, Picazo, Félix, Prieto, Juan A. C., Rodil, Iván F., Sabatini, Francesco M., Salingré, Shira, De Sanctis, Michele, Segura, Angel M., da Silva, Lucia H. S., Stevanovic, Zora D., Swacha, Grzegorz, Teittinen, Anette, Tolonen, Kimmo T., Tsiripidis, Ioanni, Virta, Leena, Wang, Beixin, Wang, Jianjun, Weisser, Wolfgang, Xu, Yuan, Soininen, Janne, Graco-Roza, Caio, Acosta, Alicia T R, Baastrup-Spohr, Lar, Barrera-Alba, José J, Carvalho, José C, Ferreira, Carlos E L, Floeter, Sergio R, Friedlander, Alan M, Gossner, Martin M, Heilmann-Clausen, Jacob, Hunter, John T, Huszar, Vera L M, Jyrkänkallio-Mikkola, Jenny, Kahilainen, Kimmo K, Lopez-Urrutia, Angel, Lukács, Balázs A, Marinho, Marcelo M, Menezes, Luciana S, Moser, Gleyci A O, Ometto, Jean P, Overbeck, Gerhard E, Pacheco, Felipe S, Prieto, Juan A C, Rodil, Iván F, Sabatini, Francesco M, Segura, Angel M, da Silva, Lucia H S, Stevanovic, Zora D, and Tolonen, Kimmo T
Subjects: environmental gradient, ASSEMBLY PROCESSES, latitudinal gradient, 333.7: Landflächen, Naturerholungsgebiete, Trait, access, β-diversity, DRIVERS, Quantitative Biology::Populations and Evolution, spatial distance, beta-diversity, biogeography, environmental gradient, spatial distance, trait, SCALE DEPENDENCY, Centro Oceanográfico de Gijón, biodiversity, Global and Planetary Change, Ecology, trait, drivers, eliöyhteisöt, ekologia, ENVIRONMENTAL-CONDITIONS, Biogeography, SIMILARITY, 1181 Ecology, evolutionary biology, Spatial distance, 1171 Geosciences, beta-diversity, biogeography, scale dependency, β- diversity, beta-diversity patterns, β‐diversity, eliömaantiede, 4111 Agronomy, β-diversity, biogeography, environmental gradient, spatial distance, trait, species traits, distribution, environmental-conditions, Environmental gradient, assembly processes, Medio Marino, similarity, 1172 Environmental sciences, Ecology, Evolution, Behavior and Systematics, biodiversiteetti, LATITUDINAL GRADIENT, responses, BIODIVERSITY, High Energy Physics::Experiment, BETA-DIVERSITY PATTERNS, SPECIES TRAITS, RESPONSES
Abstract: Caio Graco-Roza was funded by the Coordination for the Improvement of Higher Education Personnel (CAPES), the Carlos Chagas Filho Research Support Foundation (FAPERJ) and the Ella and Georg Erhnrooth Foundation; Jan Altman by research grants INTER-EXCELLENCE LTAUSA19137 provided by Czech Ministry of Education, Youth and Sports, 20-05840Y of the Czech Science Foundation, and long-term research development project no. RVO 67985939 of the Czech Academy of Sciences; Otso Ovaskainen was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 856506; ERC-synergy project LIFEPLAN); and Jianjun Wang was funded by CAS Key Research Program of Frontier Sciences (QYZDB-SSW-DQC043) and National Natural Science Foundation of China (91851117). The "sPlot" project was initiated by sDiv, the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG FZT 118), and is now a platform of iDiv. The study was supported by the TRY initiative on plant traits (). We are also grateful to Jens Kattge and TRY database. TRY is hosted, developed and maintained at the Max Planck Institute for Biogeochemistry (MPI-BGC) in Jena, Germany, in collaboration with the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. The CESTES database of metacommunities is also an initiative of iDiv led by Alienor Jeliazkov. We thank sDiv for supporting the open science initiative., Aim: Understanding the variation in community composition and species abundances (i.e., β-diversity) is at the heart of community ecology. A common approach to examine β-diversity is to evaluate directional variation in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distance. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 148 datasets comprising different types of organisms and environments. Location: Global. Time period: 1990 to present. Major taxa studied: From diatoms to mammals. Method: We measured the strength of the decay using ranked Mantel tests (Mantel r) and the rate of distance decay as the slope of an exponential fit using generalized linear models. We used null models to test whether functional similarity decays faster or slower than expected given the taxonomic decay along the spatial and environmental distance. We also unveiled the factors driving the rate of decay across the datasets, including latitude, spatial extent, realm and organismal features. Results: Taxonomic distance decay was stronger than functional distance decay along both spatial and environmental distance. Functional distance decay was random given the taxonomic distance decay. The rate of taxonomic and functional spatial distance decay was fastest in the datasets from mid-latitudes. Overall, datasets covering larger spatial extents showed a lower rate of decay along spatial distance but a higher rate of decay along environmental distance. Marine ecosystems had the slowest rate of decay along environmental distances. Main conclusions: In general, taxonomic distance decay is a useful tool for biogeographical research because it reflects dispersal-related factors in addition to species responses to climatic and environmental variables. Moreover, functional distance decay might be a cost-effective option for investigating community changes in heterogeneous environments., Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ), Ella and Georg Erhnrooth Foundation, Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137 Grant Agency of the Czech Republic 20-05840Y Czech Academy of Sciences RVO 67985939, Academy of Finland 309581, Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme 223257, European Research Council (ERC) 856506, CAS Key Research Program of Frontier Sciences QYZDB-SSW-DQC043, National Natural Science Foundation of China (NSFC) 91851117, German Research Foundation (DFG) DFG FZT 118, TRY initiative on plant traits
Published: 2022

44. Root traits explain plant species distributions along climatic gradients yet challenge the nature of ecological trade-offs

Author: Oscar J. Valverde-Barrantes, Jasper van Ruijven, M. Luke McCormack, Ülo Niinemets, Hendrik Poorter, Renata Ćušterevska, Jonathan Lenoir, Ina C. Meier, Marco Schmidt, Fons van der Plas, Peter B. Reich, Grégoire T. Freschet, Francesco Maria Sabatini, Joana Bergmann, Thomas W. Kuyper, Jens Kattge, Catherine Roumet, Marina Semchenko, Josep Peñuelas, Isabelle Aubin, Gregory Richard Guerin, Wim A. Ozinga, Chaeho Byun, Helge Bruelheide, Franziska Schrodt, Olivia R. Burge, Christopher J. Sweeney, Nathaly R. Guerrero-Ramírez, Daniel C. Laughlin, Larry M. York, Colleen M. Iversen, Robert B. Jackson, Estelle Forey, Eduardo Velázquez, Liesje Mommer, Jürgen Dengler, Tatiana Lysenko, Bruno Hérault, Dirk Nikolaus Karger, Patrick Meir, Alexandra Weigelt, Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Département écologie et biodiversité des milieux forestiers, prairiaux et aquatiques (ECODIV), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), German Research Foundation, Biological and Environmental Research (US), University of Göttingen, Laughlin, Daniel C., Mommer, Liesje, Sabatini, Francesco Maria, Bruelheide, Helge, Kuyper, Thom W., McCormack, M. Luke, Bergmann, Joana, Freschet, Grégoire T., Guerrero-Ramírez, Nathaly R., Iversen, Colleen M., Kattge, Jens, Meier, Ina C., Poorter, Hendrik, Roumet, Catherine, Semchenko, Marina, Valverde-Barrantes, Oscar J., van der Plas, Fons, van Ruijven, Jasper, York, Larry M., Aubin, Isabelle, Burge, Olivia R., Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, Forey, Estelle, Guerin, Greg R., Hérault, Bruno, Jackson, Robert B., Karger, Dirk Nikolaus, Lenoir, Jonathan, Lysenko, Tatiana, Meir, Patrick, Niinemets, Ülo, Ozinga, Wim A., Peñuelas, Josep, Reich, Peter B., Schmidt, Marco, Schrodt, Franziska, Weigelt, Alexandra, University of Wyoming (UW), Wageningen University and Research [Wageningen] (WUR), German Centre for Integrative Biodiversity Research (iDiv), Martin-Luther-University Halle-Wittenberg, The Morton Arboretum, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Station d'Ecologie Théorique et Expérimentale (SETE), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Agrobiosciences, Interactions et Biodiversité (FR AIB), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University = Georg-August-Universität Göttingen, Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Universität Hamburg (UHH), IBG-2, Institute for Bio and Geosciences, Macquarie University, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), University of Manchester [Manchester], University of Tartu, Florida International University [Miami] (FIU), Leipzig University, Noble Research Institute, Great Lakes Forestry Centre, Sault Sainte Marie, Ontario, Manaaki Whenua – Landcare Research [Lincoln], Andong National University, Ss. Cyril and Methodius University in Skopje (UKIM), Zürich University of Applied Sciences (ZHAW), University of Bayreuth, University of Adelaide, University of Queensland [Brisbane], Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National Polytechnique Félix Houphouët Boigny de Yamoussoukro (INP-HB), Stanford University, Stanford Woods Institute for the Environment, Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL), Institut Fédéral de Recherches [Suisse], Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Russian Academy of Sciences [Moscow] (RAS), Australian National University (ANU), University of Edinburgh, Estonian University of Life Sciences (EMU), CREAF - Centre for Ecological Research and Applied Forestries, University of Minnesota System, Western Sydney University, Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, University of Nottingham, UK (UON), Universidad de Valladolid [Valladolid] (UVa), Laughlin D.C., Mommer L., Sabatini F.M., Bruelheide H., Kuyper T.W., McCormack M.L., Bergmann J., Freschet G.T., Guerrero-Ramirez N.R., Iversen C.M., Kattge J., Meier I.C., Poorter H., Roumet C., Semchenko M., Sweeney C.J., Valverde-Barrantes O.J., van der Plas F., van Ruijven J., York L.M., Aubin I., Burge O.R., Byun C., Custerevska R., Dengler J., Forey E., Guerin G.R., Herault B., Jackson R.B., Karger D.N., Lenoir J., Lysenko T., Meir P., Niinemets U., Ozinga W.A., Penuelas J., Reich P.B., Schmidt M., Schrodt F., Velazquez E., and Weigelt A.
Subjects: 0106 biological sciences, Environmental change, Range (biology), Climate, Ecophysiology, Bos- en Landschapsecologie, Forests, 01 natural sciences, Système racinaire, Forest and Landscape Ecology, ComputingMilieux_MISCELLANEOUS, Ecology, Facteur du milieu, Soil Biology, PE&RC, Physiologie végétale, Phenotype, 580: Pflanzen (Botanik), Biogeography, [SDE]Environmental Sciences, Trait, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Écologie, F40 - Écologie végétale, Facteur écologique, F60 - Physiologie et biochimie végétale, Biogéographie, Plant Ecology and Nature Conservation, Biology, 010603 evolutionary biology, ddc:570, Life Science, Forest, Community ecology, 577: Ökologie, Plant Dispersal, Vegetatie, Ecology, Evolution, Behavior and Systematics, Bodembiologie, Environmental gradient, Vegetation, Community, Directional selection, Water, 15. Life on land, Natural variation in plants, Vegetation, Forest and Landscape Ecology, 010606 plant biology & botany
Abstract: 21 Pág. Instituto de Ciencias Forestales (ICIFOR), Ecological theory is built on trade-offs, where trait differences among species evolved as adaptations to different environments. Trade-offs are often assumed to be bidirectional, where opposite ends of a gradient in trait values confer advantages in different environments. However, unidirectional benefits could be widespread if extreme trait values confer advantages at one end of an environmental gradient, whereas a wide range of trait values are equally beneficial at the other end. Here, we show that root traits explain species occurrences along broad gradients of temperature and water availability, but model predictions only resembled trade-offs in two out of 24 models. Forest species with low specific root length and high root tissue density (RTD) were more likely to occur in warm climates but species with high specific root length and low RTD were more likely to occur in cold climates. Unidirectional benefits were more prevalent than trade-offs: for example, species with large-diameter roots and high RTD were more commonly associated with dry climates, but species with the opposite trait values were not associated with wet climates. Directional selection for traits consistently occurred in cold or dry climates, whereas a diversity of root trait values were equally viable in warm or wet climates. Explicit integration of unidirectional benefits into ecological theory is needed to advance our understanding of the consequences of trait variation on species responses to environmental change., sPlot was initiated by sDiv and funded by the German Research Foundation (FZT 118) and is now a platform of iDiv. The sRoot workshops and L.M. were also supported by NWO-Vidi grant 864.14.006. C.M.I. and the Fine-Root Ecology Database were supported by the Biological and Environmental Research program in the US Department of Energy’s Office of Science. J.B. was supported by Deutsche Forschungsgemeinschaft (DFG) project 432975993. N.R.G.-R. thanks the Dorothea Schlözer Postdoctoral Programme of the Georg-August-Universität.
Published: 2021

45. TRY plant trait database – enhanced coverage and open access

Author: Kattge, J., Bonisch, G., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., Acosta, A. T. R., Adamidis, G. C., Adamson, K., Aiba, M., Albert, C. H., Alcantara, J. M., Alcazar, C C., Aleixo, I., Ali, H., Amiaud, B., Ammer, C., Amoroso, M. M., Anand, M., Anderson, C., Anten, N., Antos, J., Apgaua, D. M. G., Ashman, T. L., Asmara, D. H., Asner, G. P., Aspinwall, M., Atkin, O., Aubin, I., Baastrup-Spohr, L., Bahalkeh, K., Bahn, M., Baker, T., Baker, W. J., Bakker, J. P., Baldocchi, D., Baltzer, J., Banerjee, A., Baranger, A., Barlow, J., Barneche, D. R., Baruch, Z., Bastianelli, D., Battles, J., Bauerle, W., Bauters, M., Bazzato, E., Beckmann, M., Beeckman, H., Beierkuhnlein, C., Bekker, R., Belfry, G., Belluau, M., Beloiu, M., Benavides, R., Benomar, L., Berdugo-Lattke, M. L., Berenguer, E., Bergamin, R., Bergmann, J., Bergmann Carlucci, M., Berner, L., Bernhardt Romermann, M., Bigler, C., Bjorkman, A. D., Blackman, C., Blanco, C., Blonder, B., Blumenthal, D., Bocanegra Gonzalez, K. T., Boeckx, P., Bohlman, S., Bohning Gaese, K., Boisvert Marsh, L., Bond, W., Bond-Lamberty, B., Boom, A., Boonman, C. C. F., Bordin, K., Boughton, E. H., Boukili, V., Bowman, D. M. J. S., Bravo, S., Brende, l M. R., Broadley, M. R., Brown, K. A., Bruelheide, H., Brumnich, F., Bruun, H. H., Bruy, D., Buchanan, S. W., Bucher, S. F., Buchmann, N., Buitenwerf, R., Bunker, D. E., Burge, r J., Burrascano, S., Burslem, D. F. R. P., Butterfield, B. J., Byun, C., Marques, M., Scalon, M. C., Caccianiga, M., Cadotte, M., Cailleret, M., Camac, J., Camarero, J. J., Campany, C., Campetella, G., Campos, J. A., Cano Arboleda, L., Canullo, R., Carbognani, M., Carvalho, F., Casanoves, F., Castagneyrol, B., Catford, J. A., Cavender Bares, J., Cerabolini, B. E. L., Cervellini, M., Chacon Madrigal, E., Chapin, K., Chapin, F. S., Chelli, S., Chen, S. C., Chen, A., Cherubini, P., Chianucci, F., Choat, B., Chung, K. S., Chytry, M., Ciccarelli, D., Coll, L., Collins, C. G., Conti, L., Coomes, D., Cornelissen, J. H. C., Cornwell, W. K., Corona, P., Coyea, M., Craine, J., Craven, D., Cromsigt, J. P. G. M., Csecserits, A., Cufar, K., Cuntz, M., da Silva, A. C., Dahlin, K. M., Dainese, M., Dalke, I., Dalle Fratte, M., Dang Le, A. T., Danihelka, J., Dannoura, M., Dawson, S., de Beer, A. J., De Frutos, A., De Long, J. R., Dechant, B., Delagrange, S., Delpierre, N., Derroire, G., Dias, A. S., Diaz Toribio, M. H., Dimitrakopoulos, P. G., Dobrowolski, M., Doktor, D., Drevojan, P., Dong, N., Dransfield, J., Dressler, S., Duarte, L., Ducouret, E., Dullinger, S., Durka, W., Duursma, R., Dymova, O., E- Vojtko, A., Eckstein, R. L., Ejtehadi, H., Elser, J., Emilio, T., Engemann, K., Erfanian, M. B., Erfmeier, A., Esquivel Muelbert, A., Esser, G., Estiarte, M., Domingues, T. F., Fagan, W. F., Fagundez, J., Falster, D. S., Fan, Y., Fang, J., Farris, E., Fazlioglu, F., Feng, Y., Fernandez, Mendez, Ferrara, C., Ferreira, J., Fidelis, A., Finegan, B., Firn, J., Flowers, T. J., Flynn, D. F. B., Fontana, V., Forey, E., Forgiarini, C., Francois, L., Frangipani, M., Frank, D., Frenette Dussault, C., Freschet, G. T., Fry, E. L., Fyllas, N. M., Mazzochini, G. G., Gachet, S., Gallagher, R., Ganade, G., Ganga, F., Garcia Palacios, P., Gargaglione, V., Garnier, E., Garrido, J. L., de Gasper, A. L., Gea Izquierdo, G., Gibson, D., Gillison, A. N., Giroldo, A., Glasenhardt, M. C., Gleason, S., Gliesch, M., Goldberg, E., Goldel, B., Gonzalez Akre, E., Gonzalez Andujar, J. L., Gonzalez Melo, A., Gonzalez Robles, A., Graae, B. J., Granda, E., Graves, S., Green, W. A., Gregor, T., Gross, N., Guerin, G. R., Gunther, A., Gutierrez, A. G., Haddock, L., Haines, A., Hall, J., Hambuckers, A., Han, W., Harrison, S. P., Hattingh, W., Hawes, J. E., He, T., He, P., Heberling, J. M., Helm, A., Hempel, S., Hentschel, J., Herault, B., Heres, A. M., Herz, K., Heuertz, M., Hickler, T., Hietz, P., Higuchi, P., Hipp, A. L., Hirons, A., Hock, M., Hogan, J. A., Holl, K., Honnay, O., Hornstein, D., Hou, E., Hough Snee, N., Hovstad, K. A., Ichie, T., Igic, B., Illa, E., Isaac, M., Ishihara, M., Ivanov, L., Ivanova, L., Iversen, C. M., Izquierdo, J., Jackson, R. B., Jackson, B., Jactel, H., Jagodzinsk, A. M., Jandt, U., Jansen, S., Jenkins, T., Jentsch, A., Jespersen, J. R. P., Jiang, G. F., Johansen, J. L., Johnson, D., Jokela, E. J., Joly, C. A., Jordan, G. J., Joseph, G. S., Junaedi, D., Junker, R. R., Justes, E., Kabzems, R., Kane, J., Kaplan, Z., Kattenborn, T., Kavelenova, L., Kearsley, E., Kempel, A., Kenzo, T., Kerkhoff, A., Khalil, M. I., Kinlock, N. L., Kissling, W. D., Kitajima, K., Kitzberger, T., Kjoller, R., Klein, T., Kleyer, M., Klimesova, J., Klipel, J., Kloeppel, B., Klotz, S., Knops, J. M. H., Kohyama, T., Koike, F., Kollmann, J., Komac, B., Komatsu, K., Konig, C., Kraft, N. J. B., Kramer, K., Kreft, H., Kuhn, I., Kumarathune, D., Kuppler, J., Kurokawa, H., Kurosawa, Y., Kuyah, S., Laclau, J. P., Lafleur, B., Lallai, E., Lamb, E., Lamprecht, A., Larkin, D. J., Laughlin, D., Le Bagousse Pinguet, Y., le Maire, G., le Roux, P. C., le Roux, E., Lee, T., Lens, F., Lewis, S. L., Lhotsky, B., Li, Y., Li, X., Lichstein, J. W., Liebergesell, M., Lim, J. Y., Lin, Y. S., Linares, Y. C., Liu, C., Liu, D., Liu, U., Livingstone, S., Llusia, J., Lohbeck, M., Lopez Garcia, A., Lopez Gonzalez, G., Lososov, a Z., Louault, F., Lukacs, B. A., Lukes, P., Luo, Y., Lussu, M., Ma, S., Maciel Rabelo Pereira, C., Mack, M., Maire, V., Makela, A., Makinen, H., Malhado, A. C. M., Mallik, A., Manning, P., Manzoni, S., Marchetti, Z., Marchino, L., Marcilio Silva, V., Marcon, E., Marignani, M., Markesteijn, L., Martin, A., Martinez Garza, C., Martinez Vilalta, J., Maskova, T., Mason, K., Mason, N., Massad, T. J., Masse, J., Mayrose, I., Mccarthy, J., Mccormack, M. L., Mcculloh, K., Mcfadden, I., Mcgill, B. J., Mcpartland, M. Y., Medeiros, J., Medlyn, B., Meerts, P., Mehrabi, Z., Meir, P., Melo, F., P. L., Mencuccini, M., Meredieu, C., Messier, J., Meszaros, I., Metsaranta, J., Michaletz, S. T., Michelaki, C., Migalina, S., Milla, R., Miller, J., E. D., Minden, V., Ming, R., Mokany, K., Moles, A. T., Molnar, A., Molofsky, J., Molz, M., Montgomery, R. A., Monty, A., Moravcova, L., Moreno Martinez, A., Moretti, M., Mori, A. S., Mori, S., Morris, D., Morrison, J., Mucina, L., Mueller, S., Muir, C. D., Muller, S. C., Munoz, F., Myers Smith, I. H., Myster, R. W., Nagano, M., Naidu, S., Narayanan, A., Natesan, B., Negoita, L., Nelson, A. S., Neuschulz, E. L., Ni, J., Niedrist, G., Nieto, J., Niinemets, U., Nolan, R., Nottebrock, H., Nouvellon, Y., Novakovskiy, A., Nystuen, K. O., O'Grady, A., O'Hara, K., O'Reilly Nugent, A., Oakley, S., Oberhuber, W., Ohtsuka, T., Oliveira, R., Ollerer, K., Olson, M. E., Onipchenko, V., Onoda, Y., Onstein, R. E., Ordonez, J. C., Osada, N., Ostonen, I., Ottaviani, G., Otto, S., Overbeck, G. E., Ozinga, W. A., Pahl, A. T., Paine, C. E. T., Pakeman, R. J., Papageorgiou, A. C., Parfionova, E., Partel, M., Patacca, M., Paula, S., Paule, J., Pauli, H., Pausas, J., Peco, B., Penuelas, J., Perea, A., Peri, P. L., Petisco Souza, A. C., Petraglia, A., Petritan, A. M., Phillips, O. L., Pierce, S., Pillar, V. D., Pisek, J., Pomogaybin, A., Poorter, H., Portsmuth, A., Poschlod, P., Potvin, C., Pounds, D., Powell, A., Power, S. A., Prinzing, A., Puglielli, G., Pysek, P., Raevel, V., Rammig, A., Ransijn, J., Ray, C. A., Reich, P. B., Reichstein, M., Reid, D. E. B., Rejou Mechain, M., de Dios, V. R., Ribeiro, S., Richardson, S., Riibak, K., Rillig, M. C., Riviera, F., Robert, E. M. R., Roberts, S., Robroek, B., Roddy, A., Rodrigues, A. V., Rogers, A., Rollinson, E., Rolo, V., Romermann, C., Ronzhina, D., Roscher, C., Rosell, J. A., Rosenfield, M. F., Rossi, C., Roy, D. B., Royer Tardif, S., Ruger, N., Ruiz Peinado, R., Rumpf, S. B., Rusch, G. M., Ryo, M., Sack, L., Saldana, A., Salgado Negret, B., Salguero Gomez, R., Santa Regina, I., Santacruz Garcia, A. C., Santos, J., Sardans, J., Schamp, B., Scherer Lorenzen, M., Schleuning, M., Schmid, B., Schmidt, M., Schmitt, S., Schneider, J. V., Schowanek, S. D., Schrader, J., Schrodt, F., Schuldt, B., Schurr, F., Selaya Garvizu, G., Semchenko, M., Seymour, C., Sfair, J. C., Sharpe, J. M., Sheppard, C. S., Sheremetiev, S., Shiodera, S., Shipley, B., Shovon, T. A., Siebenkas, A., Sierra, C., Silva, V., Silva, M., Sitzia, T., Sjoman, H., Slot, M., Smith, N. G., Sodhi, D., Soltis, P., Soltis, D., Somers, B., Sonnier, G., Sorensen, M. V., Sosinski, E. E., Soudzilovskaia, N. A., Souza, A. F., Spasojevic, M., Sperandii, M. G., Stan, A. B., Stegen, J., Steinbauer, K., Stephan, J. G., Sterck, F., Stojanovic, D. B., Strydom, T., Suarez, M. L., Svenning, J. C., Svitkova, I., Svitok, M., Svoboda, M., Swaine, E., Swenson, N., Tabarelli, M., Takagi, K., Tappeiner, U., Tarifa, R., Tauugourdeau, S., Tavsanoglu, C., te Beest, M., Tedersoo, L., Thiffault, N., Thom, D., Thomas, E., Thompson, K., Thornton, P. E., Thuiller, W., Tichy, L., Tissue, D., Tjoelker, M. G., Tng, D. Y. P., Tobias, J., Torok, P., Tarin, T., Torres Ruiz, J. M., Tothmeresz, B., Treurnicht, M., Trivellone, V., Trolliet, F., Trotsiuk, V., Tsakalos, J. L., Tsiripidis, I., Tysklind, N., Umehara, T., Usoltsev, V., Vadeboncoeur, M., Vaezi, J., Valladares, F., Vamosi, J., van Bodegom, P. M., van Breugel, M., Van Cleemput, E., van de Weg, M., van der Merwe, S., van der Plas, F., van der Sande, M. T., van Kleunen, M., Van Meerbeek, K., Vanderwel, M., Vanselow, K. A., Varhammar, A., Varone, L., Vasquez Valderrama, M. Y., Vassilev, K., Vellend, M., Veneklaas, E. J., Verbeeck, H., Verheyen, K., Vibrans, A., Vieira, I., Villacis, J., Violle, C., Vivek, P., Wagner, K., Waldram, M., Waldron, A., Walker, A . P., Waller, M., Walther, G., Wang, H., Wang, F., Wang, W., Watkins, H., Watkins, J., Weber, U., Weedon, J. T., Wei, L., Weigelt, P., Weiher, E., Wells, A. W., Wellstein, C., Wenk, E., Westoby, M., Westwood, A., White, P. J., Whitten, M., Williams, M., Winkler, D. E., Winter, K., Womack, C., Wright, I. J., Wright, S. J., Wright, J., Pinho, B. X., Ximenes, F., Yamada, T., Yamaji, K., Yanai, R., Yankov, N., Yguel, B., Zanini, K. J., Zanne, A. E., Zeleny, D., Zhao, Y. P., Zheng, J., Zieminska, K., Zirbel, C. R., Zizka, G., Zo Bi, I. C., Zotz, G., Wirth, C., Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant - Clermont Auvergne (PIAF), Université Clermont Auvergne (UCA)-Institut National de la Recherche Agronomique (INRA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), 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 la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Unité Expérimentale Forêt Pierroton (UEFP), Institut National de la Recherche Agronomique (INRA), Max Planck Institute for Biogeochemistry Max Planck SocietyFoundation CELLEX German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig International Programme of Biodiversity Science (DIVERSITAS) International Geosphere-Biosphere Programme (IGBP) French Foundation for Biodiversity Research (FRB) GIS 'Climat, Environnement et Societe' France AXA Research Fund NERC Natural Environment Research Council Future Earth, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, German Centre for Integrative Biodiversity Research (iDiv), Instituto Multidisciplinario de Biología Vegetal [Córdoba] (IMBIV), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas, Físicas y Naturales [Córdoba], Universidad Nacional de Córdoba [Argentina]-Universidad Nacional de Córdoba [Argentina], Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Imperial College London, Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Zoology [Oxford], University of Oxford, Balliol College, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Tarbiat Modares University [Tehran], Università degli Studi Roma Tre = Roma Tre University (ROMA TRE), Department of Environment [Aegean], University of the Aegean, Institute of Ecology and Evolution [Bern, Switzerland], University of Bern, University of Tartu, Tohoku University [Sendai], Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Universidad de Jaén (UJA), Instituto Alexander Von Humboldt, Bogota, Colombia, National Institute of Amazonian Research (INPA), Manaus, Brazil, Botany Department, Faculty of Science, Suez Canal University, Ismailia, Egypt, Laboratoire Agronomie et Environnement - Antenne Colmar (LAE-Colmar ), Laboratoire Agronomie et Environnement (LAE), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Forest Sciences, University of Göttingen, Göttingen, Germany, Centre for Biodiversity and Sustainable Land-use [University of Göttingen] (CBL), Georg-August-University = Georg-August-Universität Göttingen, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD), Universidad Nacional de Río Negro, El Bolsón, Argentina, Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), School of Environmental Sciences, University of Guelph, Pacific Northwest National Laboratory, Richland, WA, USA, University of Massachusetts [Amherst] (UMass Amherst), University of Massachusetts System (UMASS), Centre for Crop Systems Analysis, Wageningen University and Research [Wageningen] (WUR), University of Victoria [Canada] (UVIC), College of Science & Engineering, James Cook University, Smithfield, Qld, Australia, University of Pittsburgh, Pittsburgh, PA, USA, Centre for Forest Research, Institute for Integrative Systems Biology, Université Laval, Quebec, QC, Canada, Arizona State University, Tempe, AZ, USA, University of North Florida [Jacksonville] (UNF), Australian National University (ANU), Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, Sault Ste. Marie, ON, Canada, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Department of Ecology [Innsbruck], Leopold Franzens Universität Innsbruck - University of Innsbruck, University of Leeds, Royal Botanic Gardens Kew, Richmond, UK, Conservation Ecology, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Biology Department, Wilfrid Laurier University, Waterloo, ON, Canada, Department of Forest Resources, University of Minnesota, St. Paul, MN, USA, AgroParisTech, Lancaster Environment Centre, Lancaster University, University of Exeter, University of Adelaide, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA, Universiteit Gent = Ghent University (UGENT), Università degli Studi di Cagliari = University of Cagliari (UniCa), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Royal Museum for Central Africa, Tervuren, Belgium, Bayreuth Center of Ecology and Environmental Research (BayCEER), Groningen Institute of Archaeology (GIA), University of Groningen, Groningen, The Netherlands, Department of Biological Sciences, University of Tennessee, Knoxville, TN, USA, Rocky Mountain Biological Laboratory, Crested Butte, CO, USA, Département des Science, Université du Québec À Montréal, Montreal, QC, Canada, Department of Biogeography, University of Bayreuth, Bayreuth, Germany, Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Laval, Quebec, QC, Canada, Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogota, Colombia, Fundación Natura, Bogota, Colombia, Environmental Change Institute, Laboratório de Estudos em Vegetação Campestre (LEVCamp), Programa de Pós-Graduação em Botânica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Freie Universität Berlin, Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany, Laboratório de Ecologia Funcional de Comunidades (LABEF), Departamento de Botânica, Universidade Federal do Paraná, Curitiba, Brazil, School of Informatics, Computing, and Cyber Systems (SICCS), Northern Arizona University [Flagstaff], Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany, ETH Zurich, Universitatstrasse 16, 8092 Zurich, Switzerland, University of Gothenburg (GU), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), School of Life Sciences, Arizona State University, Tempe, AZ, USA, USDA-ARS Rangeland Resources & Systems Research Unit, Fort Collins, CO, USA, Grupo de Investigación en Biodiversidad y Dinámica de Ecosistémas Tropicales - Universidad del Tolima, Ibagué, Colombia, Laboratory of Applied Physical Chemistry - ISOFYS (Gent, Belgium), School of Forest Resources and Conservation [Gainesville] (UF|IFAS|FFGS), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany, Department of Biological Sciences, Goethe Universität Frankfurt, Frankfurt am Main, Germany, Department of Biological Sciences, University of Cape Town, Cape Town, South Africa, SAEON Fynbos Node, Claremont, South Africa, Pacific Northwest National Laboratory, College Park, MD, USA, University of Leicester, Department of Environmental Science, Institute for Water and Wetland Research, Radboud University, Nijmegen, The Netherlands, Laboratório de Ecologia Vegetal (LEVEG), Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Archbold Biological Station’s Buck Island Ranch, FL, Lake Placid, USA, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA, University of Tasmania [Hobart, Australia] (UTAS), Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina, Universität Hohenheim, School of Geography, University of Nottingham, Nottingham, UK, Department of Geography and Geology, Kingston University, Kingston upon Thames, UK, Martin-Luther-Universität Halle Wittenberg (MLU), Facultad de Ingeniería y Ciencias Hídricas, Universidad Nacional del Litoral (FICH-UNL), Santa Fe, Argentina, 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), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), University of Toronto at Scarborough, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark, Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Bioscience, Aarhus University, Aarhus, Denmark, New Jersey Institute of Technology [Newark] (NJIT), University of Rostock, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), School of Biological Sciences, University of Aberdeen, Aberdeen, UK, Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, School of Civil and Environmental Engineering, Yonsei University, Seoul, Korea, Departamento de Botânica, SCB, UFPR – Federal University of Parana, Curitiba, Brazil, Centro Politécnico, Universidade Federal do Paraná, Curitiba, Brazil, Università degli Studi di Milano = University of Milan (UNIMI), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Centre of Excellence for Bioscurity Risk Analysis, The University of Melbourne, Melbourne, Vic., Australia, Centro de Investigaciones Biológicas (CSIC), Colgate University, Hamilton, NY, USA, School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy, University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Departamento de Geociencias y Medio Ambiente, Universidad Nacional de Colombia, Medellin, Colombia, Università degli studi di Parma = University of Parma (UNIPR), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Geography, King’s College London, London, UK, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Universidad de Costa Rica (UCR), University of Arizona, Institute of Arctic Biology, University of Alaska [Fairbanks] (UAF), Royal Botanic Gardens [Kew], Department of Biology [Fort Collins], Colorado State University [Fort Collins] (CSU), WSL Swiss Federal Research Institute, Birmensdorf, Switzerland, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada, CREA – Research Centre for Forestry and Wood, Arezzo, Italy, Western Sydney University, ungwon University, Goesan, Chungbuk, Korea, Department of Botany and Zoology [Brno] (SCI / MUNI), Faculty of Science [Brno] (SCI / MUNI), Masaryk University [Brno] (MUNI)-Masaryk University [Brno] (MUNI), University of Pisa - Università di Pisa, Department of Agriculture and Forest Engineering (EAGROF), University of Lleida, Lleida, Spain, Joint Research Unit CTFC – AGROTECNIO, Solsona, Spain, University of California Riverside, Riverside, CA, USA, Faculty of Environmental Sciences, University of Life Sciences Prague, Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), University of Cambridge [UK] (CAM), Systems Ecology, Department of Ecological Science, Vrije Universiteit, Amsterdam, The Netherlands, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia, Faculté de foresterie, de géographie et de géomatique, Université Laval, Quebec, QC, Canada, Jonah Ventures, Boulder, CO, USA, Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor, Santiago, Chile, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Centre for African Conservation Ecology, Department of Zoology, Nelson Mandela University, Port Elizabeth, South Africa, MTA Centre for Ecological Research [Tihany], Hungarian Academy of Sciences (MTA), University of Ljubljana, Santa Catarina State University, Lages, SC, Brazil, Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA, Eurac Research, Institute for Alpine Environment, Bozen-Bolzano, Italy, Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Syktyvkar, Komi Republic, Russia, University of Science – Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam, Graduate School of Agriculture, Kyoto University, Kyoto, Japan, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan, Swedish Species Information Centre, University of Pretoria [South Africa], Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany, Department of Terrestrial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands, Department Computational Landscape Ecology [UFZ Leipsig], Department Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany, Seoul National University [Seoul] (SNU), Institute of Temperate Forest Sciences (ISFORT), Ripon, QC, Canada, UQO, Department of Natural Sciences, Ripon, QC, Canada, Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), 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), Goethe-Universität Frankfurt am Main, University of Florida [Gainesville] (UF), The University of Western Australia (UWA), School of Biological Sciences, The University of Western Australia, Department of Biological Sciences, Macquarie University, Department of Botany and Molecular Evolution, Senckenberg Research Institute and Natural History Museum, Universität Wien, Karlstad University [Sweden], Ferdowsi University of Mashhad (FUM), Flathead Lake Biological Station, University of Montana, School of Sustainability, Arizona State University, Programa Nacional de Pós-Doutorado (PNPD), Programa de Pós Graduação em Ecologia, Institute of Biology, University of Campinas UNICAMP, Institute for Ecosystem Research/Geobotany, Kiel University, School of Geography, Earth and Environmental Sciences [Birmingham], University of Birmingham [Birmingham], Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona (UAB), FFCLRP-USP, Department of Biology [USA], University of Maryland [College Park], University of Maryland System-University of Maryland System, University of A Coruña (UDC), School of Physics [UNSW Sydney] (UNSW), University of New South Wales [Sydney] (UNSW), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Peking, Peking University [Beijing], Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), Ordu University - Ordu Üniversitesi, Lanzhou University, Universidad del Tolima, Research Centre for Forestry and Wood, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Brazilian Agricultural Research Corporation (Embrapa), Universidade de São Paulo = University of São Paulo (USP), Centro Agronomico Tropical de Investigacion y Ensenanza (CATIE), Queensland University of Technology [Brisbane] (QUT), University of Sussex, Harvard University, Institute for Alpine Environment, European Academy of Bozen-Bolzano (EURAC), Étude et compréhension de la biodiversité (ECODIV), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Laboratoire de Physique Atmosphérique et Planétaire (LPAP), Université de Liège, Université de Sherbrooke (UdeS), Station d'écologie théorique et expérimentale (SETE), 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), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, University of Manchester [Manchester], Universidade Estadual de Campinas = University of Campinas (UNICAMP), Macquarie University, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universidad Rey Juan Carlos [Madrid] (URJC), Universidad Nacional de la Patagonia Austral (UNPA), Universidade Regional de Blumenau (FURB), INIA-CIFOR, Southern Illinois University [Carbondale] (SIU), Center for Biodiversity Management, Instituto Federal de Educação Ciência e Tecnologia do Cearà, The Morton Arboretum, United States Department of Agriculture (USDA), Swiss Federal Institute of Technology, Aarhus University [Aarhus], Smithsonian Conservation Biology Institute, Centre Supérieur de la Recherche Scientifique (CSIC), Centre Supérieur de la Recherche Scientifique, Universidad del Rosario [Bogota], Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Université Paris Sud (Paris 11), Senckenberg Research Institutes and Natural History Museums, Universidad de Chile = University of Chile [Santiago] (UCHILE), Joint Global Change Research Institute, Pacific Northwest National Laboratory (PNNL)-University of Maryland [College Park], Smithsonian Tropical Research Institute, University of Liege, Université de Liège - Gembloux, Institut Pasteur de Shanghai, Académie des Sciences de Chine - Chinese Academy of Sciences (IPS-CAS), Réseau International des Instituts Pasteur (RIIP), University of Bristol [Bristol], University of the Witwatersrand [Johannesburg] (WITS), Norwegian University of Life Sciences (NMBU), Murdoch University, Carnegie Museum of Natural History [Pittsburgh], Transilvania University of Brasov, Martin-Luther-University Halle-Wittenberg, Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Santa Catarina State University (UDESC), University Centre Myerscough, Kiel University, Florida International University [Miami] (FIU), Division of Plant Ststematic and Ecology, Biology department, Université Catholique de Louvain = Catholic University of Louvain (UCL), University of Applied Sciences of Weihenstephan, Four Peaks Environmental Science and Data Solutions, Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), Kochi University of Technology (KUT), University of Illinois [Chicago] (UIC), University of Illinois System, Universitat de Barcelona (UB), Kyoto University, Tyumen State University, Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, Universitat Politècnica de Catalunya [Barcelona] (UPC), Stanford University, University of Edinburgh, Polish Academy of Sciences (PAN), Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Institute for Systematic Botany and Ecology, Universität Ulm - Ulm University [Ulm, Allemagne], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Universität Bayreuth, University of Copenhagen = Københavns Universitet (UCPH), Guangxi Normal University, University College of London [London] (UCL), Hobart - Tasmania 7001, University of Venda [South Africa] (UNIVEN), University of Melbourne, Philipps Universität Marburg = Philipps University of Marburg, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Natural Resource Operations and Rural Development, Humboldt State University (HSU), Charles University [Prague] (CU), Karlsruhe Institute of Technology (KIT), Samara National Research University, Institute of Plant Sciences, Forestry and Forest Products Research Institute (FFPRI), Kenyon College, University of Garmian, State University of New York (SUNY), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam [Amsterdam] (UvA), Universidad Nacional del Comahue [Neuquén] (UNCOMA), IT University of Copenhagen (ITU), Agricultural Research Organization, Landscape Ecology Group, University of Oldenburg, Western Carolina University, Xi'an Jiaotong-Liverpool University [Suzhou], Hokkaido University [Sapporo, Japan], Yokohama National University, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Institut d Estudis Andorrans, Smithsonian Environmental Research Center (SERC), Humboldt University Of Berlin, University of California [Los Angeles] (UCLA), Department of Biodiversity, Macroecology and Biogeography, Yamagata University, Jomo Kenyatta University of Agriculture and Technology (JKUAT), 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, Université du Québec en Abitibi-Témiscamingue (UQAT), University of Saskatchewan [Saskatoon] (U of S), University of Natural Resources and Life Sciences, Institute of Mountain Risk Engineering - Vienna, Austria, University of Wyoming (UW), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Nelson Mandela University [Port Elizabeth], University of Wisconsin - Eau Claire, Naturalis Biodiversity Center [Leiden], Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Yangzhou University, Leipzig University, University Pablo de Olavide, Shanghai Jiao Tong University [Shanghai], Royal Botanical Gardens, Masaryk University [Brno] (MUNI), Department of Physiology, University of Debrecen Egyetem [Debrecen]-Research Centre for Molecular Medicine-Medical and Health Science Centre, Global Change Research Centre (CzechGlobe), Université du Québec à Trois-Rivières (UQTR), Natural Resources Institute Finland (LUKE), Universidade Federal de Alagoas = Federal University of Alagoas (UFAL), Lakehead University, Stockholm University, Universidad Nacional del Litoral [Santa Fe] (UNL), Universidade Federal do Paraná (UFPR), Bangor University, Universidad Autonoma del Estado de Morelos (UAEM), Manaaki Whenua – Landcare Research [Lincoln], Gorongosa National Park, Université de Montréal (UdeM), Tel Aviv University (TAU), University of Queensland [Brisbane], University of Wisconsin-Madison, University of Maine, Holden Arboretum, Hawkesbury Institute for he Environment, Laboratoire d'Ecologie Végétale et Biogéochimie, Université libre de Bruxelles (ULB), University of British Columbia (UBC), Research School of Biology, Universidade Federal de Pernambuco [Recife] (UFPE), School of Geosciences [Edinburgh], Ecology and Evolutionary Biology [Tucson] (EEB), University of Debrecen, Northern Forestry Centre, Canadian Forest Service - CFS (CANADA), University of Illinois at Urbana-Champaign [Urbana], Data61 [Canberra] (CSIRO), Australian National University (ANU)-Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Debrecen Egyetem [Debrecen], University of Vermont [Burlington], Fundação Zoobotânica do Rio Grande do Sul, University of Montana, Institut de RadioAstronomie Millimétrique (IRAM), Centre National de la Recherche Scientifique (CNRS), University of Freiburg [Freiburg], University of Hawaii, Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Oklahoma State University [Stillwater] (OSU), Osaka City University, Charles Darwin Research Station (CDRS), Charles Darwin Foundation, Los Alamos National Laboratory (LANL), Zhejiang Normal University, European Academy of Bolzano, Universidad Distrital Francisco Jose de Caldas [Bogota], University of Bayreuth, Institute of Biology of Komi Scientific Centre of the Ural Branch of the Russian Academy of Sciences, Russian Academy of Sciences [Moscow] (RAS), CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Canberra, CEH, Department of Systems and Science, Graduate School of Informatics, Kyoto University-Kyoto University, Departamento de Telemática, Faculdade de Engenharia Elétrica e de Computação (DT/FEEC), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Moscow State University, Vrije Universiteit Amsterdam [Amsterdam] (VU), Meijo University, Institute of Ecology and Earth Sciences [Tartu], Astronomical Institute of the Czech Academy of Sciences (ASU / CAS), University of Nijmegen, University of New England (UNE), The James Hutton Institute, Democritus University of Thrace (DUTH), Institute of Ecology and Earth Sciences, University of Tartu, Spanish National Research Council (CSIC), Senckenberg Research Institute and Natural History Museum, University of Vienna [Vienna], Center for Desertification Research (CIDE), Universitat de València (UV), Universidad Autónoma de Madrid (UAM), Université de Jaén, National Institute for Research and Development in Forestry, Department of Plant Production (University of Milan), Tartu Observatory, Botanical Garden of the Samara University, Forschungszentrum Jülich GmbH, Tallinn University, Universität Regensburg (REGENSBURG), Universität Regensburg, School of Social Sciences [Cardiff], Cardiff University, Estonian University of Life Sciences (EMU), Sch Life Sci Weihenstephan, Arizona State University [Tempe] (ASU), Department of Forest Resources, University of Minnesota System-University of Minnesota System, Research Institute for Networks and Communications Engineering (RINCE), Dublin City University [Dublin] (DCU)-Science Foundation Ireland-Enterprise Ireland-Higher Education Authority-School of Electronic Engineering, Southwest University of Science and Technology [Mianyang] (SWUST), Universidade Federal do Acre (UFAC), Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Centre méditérannéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Mississippi State University [Mississippi], University of Southampton, Yale University [New Haven], Brookhaven National Laboratory [Upton, NY] (BNL), UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE), East Stroudsburg University, INDEHESA, Forestry School, Universidad de Extremadura - University of Extremadura (UEX), Institute of Physical Geography [Frankfurt am Main], Universität Zürich [Zürich] = University of Zurich (UZH), Lake Ecosystems Group [Lancaster, U.K.] (Centre for Ecology & Hydrology), Lancaster Environment Centre [Lancaster, U.K.], University of Valladolid, Norwegian Institute for Nature Research (NINA), Universidad Nacional de Colombia [Bogotà] (UNAL), Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA), Universidade de Coimbra [Coimbra], Algoma University, Senckenberg biodiversität und klima forschungszentrum (BIK-F), Forschungsinstitut Senckenberg (SGN), University of Nottingham, UK (UON), University of Würzburg = Universität Würzburg, Agence Française de Sécurité Sanitaire des Aliments (AFSSA), Herencia, Kirstenbosch Research Centre, South African National Biodiversity Institute, Federal University of Pernambuco [Recife], Sharplex Services, University of Hohenheim, Komarov Botanical Institute RAS, Center for Sustainability Science, Hokkaido, Département de Biologie, University of Regina (UR), Technische Universität Ilmenau (TU ), Universidade de Lisboa = University of Lisbon (ULISBOA), Universidade Federal de Lavras = Federal University of Lavras (UFLA), Università degli Studi di Padova = University of Padua (Unipd), Gothenburg Global Biodiversity Centre, Department of Biology [Gainesville] (UF|Biology), Texas Tech University [Lubbock] (TTU), Florida Museum of Natural History [Gainesville], KU Leuven, Embrapa Recursos Genéticos e Biotecnologia [Brasília], Universiteit Leiden, University of California [Riverside] (UC Riverside), Pacific Northwest National Laboratory (PNNL), University of Natural Resources and Applied Life Sciences, Vienna, (BOKU) and Competence Centre Wood K plus, University of Novi Sad, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Slovak Academy of Sciences (SAS), Technical University in Zvolen (TUZVO), Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague (CZU), University of Aberdeen, University of Maryland System, Universität Innsbruck [Innsbruck], Estacion Experimental de Zonas Aridas, Hacettepe University = Hacettepe Üniversitesi, Centre for Forest Research (CFR), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Bioversity International [Montpellier], Bioversity International [Rome], Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Department of Animal and Plant Sciences [Sheffield], University of Sheffield [Sheffield], The School for Field Studies, Quantum Optics and Laser Science, Blackett Laboratory, Blackett Laboratory, Imperial College London-Imperial College London, University of Delaware [Newark], Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Biodiversity and Ecosystem Services Research Group, Stellenbosch University, Czech University of Life Science, Aristotle University of Thessaloniki, Osaka Natural History Center, Ural State Forest Engineering University, University of New Hampshire (UNH), University of Calgary, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Hawkesbury Institute for the Environment [Richmond] (HIE), Computational & Applied Vegetation Ecology (CAVElab), Dept Forest & Water Management, Lab Forestry, Museu Paraense Emílio Goeldi, Federal University of Para - Universidade Federal do Pará - UFPA [Belém, Brazil] (UFPA), State Key Laboratory of Natural and Biomimetic Drugs, Fudan University [Shanghai], Department of Ecological Science [Amsterdam], Vrije Universiteit Brussel (VUB), Laboratoire de Biologie des Ligneux et des Grandes Cultures (LBLGC), Université d'Orléans (UO)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Biology, Free University of Bozen-Bolzano, Dpt Biological Sciences, Macquarie University, Duke University [Durham], IFP Energies nouvelles (IFPEN), Department of Primary Industries, Graduate School of Integrated Arts and Sciences, Hiroshima University, Université de Tsukuba = University of Tsukuba, SUNY College of Environmental Science and Forestry (SUNY-ESF), Biological Sciences Department (BIOLOGICAL SCIENCES DEPARTMENT), Nanjing University (NJU), National Taiwan University [Taiwan] (NTU), Zhejiang University, Beijing Forestry University, Institut National Polytechnique Félix Houphouët-Boigny, Universität Leipzig, Max Planck Fellow Program for Christian Wirth, the International Programme of Biodiversity Science (DIVERSITAS), the International Geosphere‐Biosphere Programme (IGBP), Future Earth, the French Foundation for Biodiversity Research (FRB), and GIS ‘Climat, Environnement et Société’ France, JENS KATTGE, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, ELLEN L. FRY, UNIVERSITY OF LIÈGE, BELGIUM, NIKOLAOS M. FYLLAS, UNIVERSITY OF THE AEGEAN, GREECE, GERHARD BÖNISCH, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, SUSANNE TAUTENHAHN, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, JENA, GERMANY, GIJSBERT D. A. WERNER, UNIVERSITY OF OXFORD, OXFORD, UK, TUOMAS AAKALA, UNIVERSITY OF HELSINKI, FINLAND, MEHDI ABEDI, TARBIAT MODARES UNIVERSITY, IRAN, ALICIA T. R. ACOSTA, UNIVERSITY OF ROMA TRE, ITALY, GEORGE C. ADAMIDIS, UNIVERSITY OF BERN, SWITZERLAND, KAIRI ADAMSON, UNIVERSITY OF TARTU, ESTONIA, MASAHIRO AIBA, TOHOKU UNIVERSITY, JAPAN., CÉCILE H. ALBERT, AIX MARSEILLE UNIV, UNIV AVIGNON, FRANCE., JULIO M. ALCÁNTARA, UNIVERSIDAD DE JAÉN, SPAIN, CAROLINA ALCÁZAR C, Instituto Alexander Von Humboldt, Colombia., HAMADA ALI, SUEZ CANAL UNIVERSITY, EGYPT, BERNARD AMIAUD, UNIVERSITÉ DE LORRAINE, FRANCE., CHRISTIAN AMMER, UNIVERSITY OF GÖTTINGEN, GERMANY, MARIANO M. AMOROSO, UNIVERSIDAD NACIONAL DE RÍO NEGRO, ARGENTINA, MADHUR ANAND, UNIVERSITY OF GUELPH, CANADA., MARIJN BAUTERS, GHENT UNIVERSITY, BELGIUM., ERIKA BAZZATO, UNIVERSITY OF CAGLIARI, ITALY., MICHAEL BECKMANN, Helmholtz Centre for Environmental Research, Germany., HANS BEECKMAN, ROYAL MUSEUM FOR CENTRAL AFRICA, BELGIUM., CARL BEIERKUHNLEIN, UNIVERSITY OF BAYREUTH, GERMANY., RENEE BEKKER, UNIVERSITY OF GRONINGEN, THE NETHERLANDS., JOANA BERGMANN, FREIE UNIVERSITÄT BERLIN, GERMANY., MARCOS BERGMANN CARLUCCI, UFPC, LOGAN BERNER, NORTHERN ARIZONA UNIVERSITY, USA., MARKUS BERNHARDT-RÖMERMANN, FRIEDRICH SCHILLER UNIVERSITY JENA, GERMANY., CHRISTOF BIGLER, ETH ZURICH, SWITZERLAND., FEDERICO BRUMNICH, UNIVERSIDAD NACIONAL DEL LITORAL (FICH-UNL), ARGENTINA, HANS HENRIK BRUUN, UNIVERSITY OF COPENHAGEN, DENMARK, DAVID BRUY, UNIVERSITÉ DE MONTPELLIER, FRANCE, SERRA W. BUCHANAN, UNIVERSITY OF TORONTO SCARBOROUGH, CANADA, ROBERT BUITENWERF, AARHUS UNIVERSITY, DENMARK, DANIEL E. BUNKER, NEW JERSEY INSTITUTE OF TECHNOLOGY, USA, JANA BÜRGER, UNIVERSITY OF ROSTOCK, GERMANY, SABINA BURRASCANO, SAPIENZA UNIVERSITY OF ROME, ITALY, DAVID F. R. P. BURSLEM, UNIVERSITY OF ABERDEEN, UK, BRADLEY J. BUTTERFIELD, NORTHERN ARIZONA UNIVERSITY, USA, CHAEHO BYUN, YONSEI UNIVERSITY, KOREA, MARINA C. SCALON, UFP, MARCO CACCIANIGA, UNIVERSITÀ DEGLI STUDI DI MILANO, ITALY, MARC CADOTTE, UNIVERSITY OF TORONTO SCARBOROUGH, CANADA, MAXIME CAILLERET, AIX?MARSEILLE UNIVERSITY, FRANCE, JAMES CAMAC, THE UNIVERSITY OF MELBOURNE, AUSTRALIA, JESÚS JULIO CAMARERO, INSTITUTO PIRENAICO DE ECOLOGÍA (IPE?CSIC), SPAIN, COURTNEY CAMPANY, COLGATE UNIVERSITY, USA, GIANDIEGO CAMPETELLA, UNIVERSITY OF CAMERINO, ITALY, JUAN ANTONIO CAMPOS, UNIVERSITY OF THE BASQUE COUNTRY UPV/EHU, SPAIN, LAURA CANO-ARBOLEDA, UNIVERSIDAD NACIONAL DE COLOMBIA, COLOMBIA, ROBERTO CANULLO, UNIVERSITY OF CAMERINO, ITALY, MICHELE CARBOGNANI, UNIVERSITY OF PARMA, ITALY, FABIO CARVALHO, LANCASTER UNIVERSITY, UK, BASTIEN CASTAGNEYROL, UNIV. BORDEAUX, FRANCE, JANE A. CATFORD, KING'S COLLEGE LONDON, UK, JEANNINE CAVENDER-BARES, UNIVERSITY OF MINNESOTA, USA, BRUNO E. L. CERABOLINI, UNIVERSITY OF INSUBRIA, ITALY, MARCO CERVELLINI, UNIVERSITY OF BOLOGNA, ITALY, EDUARDO CHACÓN-MADRIGAL, UNIVERSIDAD DE COSTA RICA, COSTA RICA, KENNETH CHAPIN, THE UNIVERSITY OF ARIZONA, USA, SAMANTHA DAWSON, SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES, AREND JACOBUS DE BEER, UNIVERSITY OF PRETORIA, SOUTH AFRICA, ANGEL DE FRUTOS, HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH, GERMANY, LEANDRO DUARTE, UFRGS, EMILIE DUCOURET, UMR ECOFOG (AGROPARISTECH, CNRS, INRA, UNIVERSITÉ DES ANTILLES, UNIVERSITÉ DE LA GUYANE), FRANCE, STEFAN DULLINGER, UNIVERSITY OF VIENNA, AUSTRIA, DAN F. B. FLYNN, ARNOLD ARBORETUM OF HARVARD UNIVERSITY, USA, VERONIKA FONTANA, INSTITUTE FOR ALPINE ENVIRONMENT, ITALY, KYONG-SOOK CHUNG, JUNGWON UNIVERSITY, KOREA, MILAN CHYTRÝ, MASARYK UNIVERSITY, CZECH REPUBLIC, DANIELA CICCARELLI, UNIVERSITY OF PISA, ITALY, LLUÍS COLL, UNIVERSITY OF LLEIDA, SPAIN, COURTNEY G. COLLINS, UNIVERSITY OF CALIFORNIA RIVERSIDE, USA, LUISA CONTI, UNIVERSITY OF LIFE SCIENCES PRAGUE, CZECH REPUBLIC, DAVID COOMES, UNIVERSITY OF CAMBRIDGE, UK, JOHANNES H. C. CORNELISSEN, VRIJE UNIVERSITEIT, THE NETHERLANDS, WILLIAM K. CORNWELL, EARTH AND ENVIRONMENTAL SCIENCES, AUSTRALIA, PIERMARIA CORONA, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, MARIE COYEA, UNIVERSITÉ LAVAL, CANADA, JOSEPH CRAINE, JONAH VENTURES, USA, DYLAN CRAVEN, UNIVERSIDAD MAYOR, CHILE, JORIS P. G. M. CROMSIGT, SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES, SWEDEN, ANIKÓ CSECSERITS, MTA CENTRE FOR ECOLOGICAL RESEARCH, HUNGARY, KATARINA CUFAR, UNIVERSITY OF LJUBLJANA, SLOVENIA, MATTHIAS CUNTZ, UNIVERSITÉ DE LORRAINE, FRANCE, ANA CAROLINA DA SILVA, SANTA CATARINA STATE UNIVERSITY, BRAZIL, KYLA M. DAHLIN, MICHIGAN STATE UNIVERSITY, USA, MATTEO DAINESE, INSTITUTE FOR ALPINE ENVIRONMENT, ITALY, IGOR DALKE, INSTITUTE OF BIOLOGY OF KOMI SCIENCE CENTRE OF THE URAL BRANCH OF THE RUSSIAN ACADEMY OF SCIENCES, RUSSIA, MICHELE DALLE FRATTE, UNIVERSITY OF INSUBRIA, ITALY, ANH TUAN DANG-LE, UNIVERSITY HO CHI MINH CITY, VIETNAM, JIRÍ DANIHELKA, MASARYK UNIVERSITY, CZECH REPUBLIC, MASAKO DANNOURA, KYOTO UNIVERSITY, JAPAN, JONATHAN R. DE LONG, NETHERLANDS INSTITUTE OF ECOLOGY, THE NETHERLANDS, BENJAMIN DECHANT, SEOUL NATIONAL UNIVERSITY, REPUBLIC OF KOREA, SYLVAIN DELAGRANGE, INSTITUTE OF TEMPERATE FOREST SCIENCES (ISFORT), CANADA, NICOLAS DELPIERRE, UNIVERSITY OF PARIS?SUD, FRANCE, GÉRALDINE DERROIRE, UNIVERSITÉ DES ANTILLES, FRANCE, ARILDO S. DIAS, UNIVERSITÄT FRANKFURT, GERMANY, MILTON HUGO DIAZ-TORIBIO, UNIVERSITY OF FLORIDA, USA, PANAYIOTIS G. DIMITRAKOPOULOS, UNIVERSITY OF THE AEGEAN, GREECE, MARK DOBROWOLSKI, THE UNIVERSITY OF WESTERN AUSTRALIA, AUSTRALIA, DANIEL DOKTOR, HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH – UFZ, GERMANY, PAVEL DREVOJAN, MASARYK UNIVERSITY, CZECH REPUBLIC, NING DONG, MACQUARIE UNIVERSITY, AUSTRALIA, JOHN DRANSFIELD, ROYAL BOTANIC GARDENS KEW, UK, STEFAN DRESSLER, DEPARTMENT OF BOTANY AND MOLECULAR EVOLUTION, GERMANY, WALTER DURKA, GERMAN CENTER FOR INTEGRATIVE BIODIVERSITY RESEARCH (IDIV) HALLE?JENA?LEIPZIG, GERMANY, REMKO DUURSMA, WESTERN SYDNEY UNIVERSITY, AUSTRALIA, OLGA DYMOVA, KOMI REPUBLIC, RUSSIA, E-VOJTKÓ, A., UNIVERSITY OF SOUTH BOHEMIA, CZECH REPUBLIC, ROLF LUTZ ECKSTEIN, KARLSTAD UNIVERSITY, SWEDEN, HAMID EJTEHADI, FERDOWSI UNIVERSITY OF MASHHAD, IRAN, JAMES ELSER, UNIVERSITY OF MONTANA, USA, THAISE EMILIO, UNIVERSITY OF CAMPINAS UNICAMP, BRAZIL, KRISTINE ENGEMANN, AARHUS UNIVERSITY, DENMARK, MOHAMMAD BAGHER ERFANIAN, FERDOWSI UNIVERSITY OF MASHHAD, IRAN, ALEXANDRA ERFMEIER, KIEL UNIVERSITY, KIEL, GERMANY, ADRIANE ESQUIVEL-MUELBERT, EARTH AND ENVIRONMENTAL SCIENCES, AUSTRALIA, GERD ESSER, JUSTUS LIEBIG UNIVERSITY, GERMANY, MARC ESTIARTE, SPANISH NATIONAL RESEARCH COUNCIL – CSIC, SPAIN, TOMAS F. DOMINGUES, DEPARTMENT OF BIOLOGY – FFCLRP/USP, BRAZIL, WILLIAM F. FAGAN, UNIVERSITY OF MARYLAND, USA, JAIME FAGÚNDEZ, UNIVERSITY OF A CORUÑA, SPAIN, DANIEL S. FALSTER, EVOLUTION & ECOLOGY RESEARCH CENTRE, AUSTRALIA, YING FAN, RUTGERS UNIVERSITY, USA, JINGYUN FANG, PEKING UNIVERSITY, CHINA, EMMANUELE FARRIS, UNIVERSITY OF SASSARI, ITALY, FATIH FAZLIOGLU, ORDU UNIVERSITY, TURKEY, YANHAO FENG, LANZHOU UNIVERSITY, CHINA, FERNANDO FERNANDEZ-MENDEZ, UNIVERSIDAD DEL TOLIMA, COLOMBIA, CARLOTTA FERRARA, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, JOICE NUNES FERREIRA, CPATU, ALESSANDRA FIDELIS, (UNESP), RIO CLARO, BRAZIL, BRYAN FINEGAN, CATIE-CENTRO AGRONÓMICO TROPICAL DE INVESTIGACIÓN Y ENSEÑANZA, COSTA RICA, JENNIFER FIRN, QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT), AUSTRALIA, TIMOTHY J. FLOWERS, UNIVERSITY OF SUSSEX, UK, ESTELLE FOREY, UNIVERSITÉ DE ROUEN, FRANCE, CRISTIANE FORGIARINI, UFRGS, BRAZIL., LOUIS FRANÇOIS, UNIVERSITY OF LIÈGE, BELGIUM., MARCELO FRANGIPANI, UFRGS, BRAZIL, DOROTHEA FRANK, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, CEDRIC FRENETTE-DUSSAULT, GÉOPOLE DE L'UNIVERSITÉ DE SHERBROOKE, CANADA, GRÉGOIRE T. FRESCHET, PAUL SABATIER UNIVERSITY TOULOUSE, FRANCE, PAUL LEADLEY, UNIVERSITY OF PARIS-SUD, UNIVERSITÉ PARIS-SACLAY, ORSAY, FRANCE, IZABELA ALEIXO, NATIONAL INSTITUTE OF AMAZONIAN RESEARCH (INPA), BRAZIL, SANDRA DÍAZ, UNIVERSIDAD NACIONAL DE CÓRDOBA, ARGENTINA, SANDRA LAVOREL, UNIV. SAVOIE MONT BLANC, LECA, GRENOBLE, FRANCE, IAIN COLIN PRENTICE, IMPERIAL COLLEGE, UK., CAROLYN ANDERSON, UNIVERSITY OF MASSACHUSETTS AMHERST, USA, NIELS ANTEN, WAGENINGEN UNIVERSITY, THE NETHERLANDS, JOSEPH ANTOS, UNIVERSITY OF VICTORIA, CANADA, DEBORAH MATTOS GUIMARÃES APGAUA, JAMES COOK UNIVERSITY, AUSTRALIA, TIA-LYNN ASHMAN, UNIVERSITY OF PITTSBURGH, USA, DEGI HARJA ASMARA, UNIVERSITÉ LAVAL, CANADA, GREGORY P. ASNER, ARIZONA STATE UNIVERSITY, USA., MICHAEL ASPINWALL, UNIVERSITY OF NORTH FLORIDA, USA., OWEN ATKIN, AUSTRALIAN NATIONAL UNIVERSITY, AUSTRALIA., ISABELLE AUBIN, NATURAL RESOURCES CANADA, LARS BAASTRUP-SPOHR, UNIVERSITY OF COPENHAGEN, DENMARK., KHADIJEH BAHALKEH, TARBIAT MODARES UNIVERSITY, IRAN., MICHAEL BAHN, UNIVERSITY OF INNSBRUCK, AUSTRIA., TIMOTHY BAKER, UNIVERSITY OF LEEDS, LEEDS, UK., WILLIAM J. BAKER, ROYAL BOTANIC GARDENS KEW, UK., JAN P. BAKKER, UNIVERSITY OF GRONINGEN, THE NETHERLANDS., DENNIS BALDOCCHI, UNIVERSITY OF CALIFORNIA BERKELEY, USA., JENNIFER BALTZER, WILFRID LAURIER UNIVERSITY, CANADA, ARINDAM BANERJEE, UNIVERSITY OF MINNESOTA, USA., ANNE BARANGER, AGROPARISTECH, FRANCE., JOS BARLOW, LANCASTER UNIVERSITY, UK., DIEGO R. BARNECHE, UNIVERSITY OF EXETER, UK., ZDRAVKO BARUCH, THE UNIVERSITY OF ADELAIDE, AUSTRALIA., DENIS BASTIANELLI, UNIV MONTPELLIER, FRANCE., JOHN BATTLES, UNIVERSITY OF CALIFORNIA AT BERKELEY, USA, WILLIAM BAUERLE, COLORADO STATE UNIVERSITY, USA, SOLVEIG FRANZISKA BUCHER, FRIEDRICH?SCHILLER?UNIVERSITÄT JENA, GERMANY, GAVIN BELFRY, UNIVERSITY OF TENNESSEE, USA., MICHAEL BELLUAU, UNIVERSITÉ DU QUÉBEC À MONTRÉAL, CANADA., MIRELA BELOIU, UNIVERSITY OF BAYREUTH, GERMANY., RAQUEL BENAVIDES, MUSEO NACIONAL DE CIENCIAS NATURALES-CSIC, SPAIN., LAHCEN BENOMAR, UNIVERSITÉ LAVAL, CANADA., MARY LEE BERDUGO-LATTKE, UNIVERSIDAD NACIONAL DE COLOMBIA, COLOMBIA., ERIKA BERENGUER, UNIVERSITY OF OXFORD, UK., RODRIGO BERGAMIN, UFRS, NINA BUCHMANN, ETH ZURICH, ZURICH, SWITZERLAND, ANNE D. BJORKMAN, UNIVERSITY OF GOTHENBURG, SWEDEN., CHRIS BLACKMAN, UNIVERSITÉ CLERMONT-AUVERGNE, FRANCE., CAROLINA BLANCO, UFRGS, BENJAMIN BLONDER, ARIZONA STATE UNIVERSITY, USA., DANA BLUMENTHAL, USDA-ARS RANGELAND RESOURCES & SYSTEMS RESEARCH UNIT, USA., KELLY T. BOCANEGRA-GONZÁLEZ, UNIVERSIDAD DEL TOLIMA, COLOMBIA., PASCAL BOECKX, GHENT UNIVERSITY, BELGIUM., STEPHANIE BOHLMAN, UNIVERSITY OF FLORIDA, USA., KATRIN BÖHNING-GAESE, UNIVERSITÄT FRANKFURT, GERMANY., LAURA BOISVERT-MARSH, UNIVERSITÄT FRANKFURT, GERMANY., WILLIAM BOND, UNIVERSITY OF CAPE TOWN, SOUTH AFRICA., BEN BOND-LAMBERTY, COLLEGE PARK, USA., ARNOUD BOOM, UNIVERSITY OF LEICESTER, UK., COLINE C. F. BOONMAN, RADBOUD UNIVERSITY, THE NETHERLANDS., KAUANE BORDIN, UFRGS, ELIZABETH H. BOUGHTON, ARCHBOLD BIOLOGICAL STATION'S BUCK ISLAND RANCH, USA., VANESSA BOUKILI, UNIVERSITY OF CONNECTICUT, USA, DAVID M. J. S. BOWMAN, UNIVERSITY OF TASMANIA, AUSTRALIA., SANDRA BRAVO, UNIVERSIDAD NACIONAL DE SANTIAGO DEL ESTERO, MARCO RICHARD BRENDEL, UNIVERSITY OF HOHENHEIM, MARTIN R. BROADLEY, UNIVERSITY OF NOTTINGHAM, UK, KERRY A. BROWN, KINGSTON UNIVERSITY, UK., HELGE BRUELHEIDE, MARTIN LUTHER UNIVERSITY HALLE?WITTENBERG, GERMANY, FERNANDO CASANOVES, CATIE-CENTRO AGRONÓMICO TROPICAL DE INVESTIGACIÓN Y ENSEÑANZA, COSTA RICA, F. STUART CHAPIN, UNIVERSITY OF ALASKA FAIRBANKS, USA, STEFANO CHELLI, UNIVERSITY OF CAMERINO, ITALY, SI?CHONG CHEN, ROYAL BOTANIC GARDENS, UK, ANPING CHEN, COLORADO STATE UNIVERSITY, USA, PAOLO CHERUBINI, UNIVERSITY OF BRITISH COLUMBIA, CANADA, FRANCESCO CHIANUCCI, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, BRENDAN CHOAT, WESTERN SYDNEY UNIVERSITY, AUSTRALIA, GUILHERME G. MAZZOCHINI, UNIVERSITY OF CAMPINAS, CAMPINAS, BRAZIL, SOPHIE GACHET, UNIV AVIGNON, FRANCE, RACHAEL GALLAGHER, MACQUARIE UNIVERSITY, AUSTRALIA, GISLENE GANADE, UFRN, BRAZIL., MARY-CLAIRE GLASENHARDT, THE MORTON ARBORETUM, USA, ALAIN HAMBUCKERS, UNIVERSITY OF LIÈGE, BELGIUM, MASAE ISHIHARA, KYOTO UNIVERSITY, JAPAN, LEONID IVANOV, TYUMEN STATE UNIVERSITY, RUSSIA, LARISSA IVANOVA, TYUMEN STATE UNIVERSITY, RUSSIA., COLLEEN M. IVERSEN, OAK RIDGE NATIONAL LABORATORY, USA, JORDI IZQUIERDO, Universitat Politècnica de Catalunya, Spain, ROBERT B. JACKSON, STANFORD UNIVERSITY, USA, FRANCESCA GANGA, UNIVERSITY OF CAGLIARI, ITALY, PABLO GARCÍA-PALACIOS, UNIVERSIDAD REY JUAN CARLOS, SPAIN, VERÓNICA GARGAGLIONE, UNIVERSIDAD NACIONAL DE LA PATAGONIA AUSTRAL, ARGENTINA, ERIC GARNIER, UNIV. MONTPELLIER, FRANCE, JOSE LUIS GARRIDO, ESTACIÓN EXPERIMENTAL DEL ZAIDÍN, SPAIN, ANDRÉ LUÍS DE GASPER, UNIVERSIDADE REGIONAL DE BLUMENAU, BRAZIL, GUILLERMO GEAIZQUIERDO, INIA?CIFOR, SPAIN, DAVID GIBSON, SOUTHERN ILLINOIS UNIVERSITY CARBONDALE, USA, ANDREW N. GILLISON, CENTER FOR BIODIVERSITY MANAGEMENT, AUSTRALIA, AELTON GIROLDO, INSTITUTO FEDERAL DE EDUCAÇÃO CIÊNCIA E TECNOLOGIA DO CEARÁ, BRAZIL, SEAN GLEASON, WATER MANAGEMENT AND SYSTEMS RESEARCH UNIT, USA, MARIANA GLIESCH, INSTITUTE OF INTEGRATIVE BIOLOGY, SWITZERLAND, EMMA GOLDBERG, UNIVERSITY OF MINNESOTA, USA, BASTIAN GÖLDEL, AARHUS UNIVERSITY, DENMARK, ERIKA GONZALEZ-AKRE, NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY NTNU, NORWAY, JOSE L. GONZALEZ-ANDUJAR, CSIC-INSTITUTE FOR SUSTAINABLE AGRICULTURE (IAS), SPAIN, ANDRÉS GONZÁLEZ-MELO, UNIVERSIDAD DEL ROSARIO, COLOMBIA, ANA GONZÁLEZ-ROBLES, UNIVERSIDAD DE JAÉN, SPAIN, BENTE JESSEN GRAAE, NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY NTNU, NORWAY, ELENA GRANDA, UNIVERSITY OF ALCALÁ, SPAIN, SARAH GRAVES, UNIVERSITY OF FLORIDA, USA, WALTON A. GREEN, HARVARD UNIVERSITY, USA, THOMAS GREGOR, SENCKENBERG RESEARCH INSTITUTE AND NATURAL HISTORY MUSEUM, GERMANY, NICOLAS GROSS, UNIVERSIDAD REY JUAN CARLOS, SPAIN, GREG R. GUERIN, THE UNIVERSITY OF ADELAIDE, AUSTRALIA, ANGELA GÜNTHER, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, ALVARO G. GUTIÉRREZ, UNIVERSIDAD DE CHILE, CHILE, LILLIE HADDOCK, COLLEGE PARK, USA, ANNA HAINES, THE UNIVERSITY OF MANCHESTER, UK, JEFFERSON HALL, SMITHSONIAN TROPICAL RESEARCH INSTITUTE, REPUBLIC OF PANAMA, WENXUAN HAN, CHINA AGRICULTURAL UNIVERSITY, CHINA, SANDY P. HARRISON, UNIVERSITY OF READING, UK, WESLEY HATTINGH, UNIVERSITY OF THE WITWATERSRAND, SOUTH AFRICA, JOSEPH E. HAWES, ANGLIA RUSKIN UNIVERSITY, UK, TIANHUA HE, CURTIN UNIVERSITY, AUSTRALIA, PENGCHENG HE, CHINESE ACADEMY OF SCIENCES, CHINA, JACOB MASON HEBERLING, CARNEGIE MUSEUM OF NATURAL HISTORY, USA, AVELIINA HELM, UNIVERSITY OF TARTU, ESTONIA, STEFAN HEMPEL, FREIE UNIVERSITÄT BERLIN, GERMANY, JÖRN HENTSCHEL, FRIEDRICH-SCHILLER-UNIVERSITÄT JENA, GERMANY, BRUNO HÉRAULT, UNIVERSITÉ DE MONTPELLIER, FRANCE, ANA-MARIA HERE, TRANSILVANIA UNIVERSITY OF BRASOV, ROMANIA, KATHARINA HERZ, MARTIN LUTHER UNIVERSITY HALLE?WITTENBERG, GERMANY, MYRIAM HEUERTZ, UNIV. BORDEAUX, FRANCE, THOMAS HICKLER, GOETHE UNIVERSITY, GERMANY, PETER HIETZ, UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES, AUSTRIA, PEDRO HIGUCHI, SANTA CATARINA STATE UNIVERSITY, BRAZIL, ANDREW L. HIPP, THE MORTON ARBORETUM, USA, ANDREW HIRONS, UNIVERSITY CENTRE MYERSCOUGH, UK, MARIA HOCK, INSTITUTE FOR ECOSYSTEM RESEARCH/GEOBOTANY, GERMANY, JAMES AARON HOGAN, FLORIDA INTERNATIONAL UNIVERSITY, USA, KAREN HOLL, UNIVERSITY OF CALIFORNIA, USA, OLIVIER HONNAY, PLANT CONSERVATION AND POPULATION BIOLOGY, BELGIUM, KNUT ANDERS HOVSTAD, DEPARTMENT OF LANDSCAPE AND BIODIVERSITY, NORWAY, TOMOAKI ICHIE, KOCHI UNIVERSITY, JAPAN, BORIS IGIC, UNIVERSITY OF ILLINOIS AT CHICAGO, USA, ESTELA ILLA, UNIVERSITAT DE BARCELONA, SPAIN, MARNEY ISAAC, UNIVERSITY OF TORONTO, CANADA, BENJAMIN JACKSON, UNIVERSITY OF EDINBURGH, SCOTLAND, HERVÉ JACTEL, UNIV. BORDEAUX, FRANCE, ANDRZEJ M. JAGODZINSKI, UNIVERSITY OF LIFE SCIENCES, POLAND, UTE JANDT, MARTIN LUTHER UNIVERSITY HALLE-WITTENBERG, GERMANY, STEVEN JANSEN, ULM UNIVERSITY, GERMANY, THOMAS, University of Oxford [Oxford], University of Helsinki, Tarbiat Modaras University, Roma Tre University, Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Centre for Biodiversity and Sustainable Land-use, University of Göttingen, Göttingen, Germany, Department of Biology, University of North Florida, Jacksonville, FL, USA, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Department of Range Management, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran, University of Innsbruck, School of Geography, University of Leeds, Leeds, UK, Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, UK., School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of California at Berkeley, Berkeley, CA, USA, Department of Green Chemistry and Technology, Ghent University, Gent, Belgium, Department of Environment, Ghent University, Gent, Belgium, Department of Life and Environmental Sciences, Botany Division, University of Cagliari, Cagliari, Italy, Museo Nacional de Ciencias Naturales-CSIC, Madrid, Spain, Environmental Change Institute, University of Oxford, Oxford, UK, Institut für Biologie, Freie Universität Berlin, Berlin, Germany, Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Universiteit Gent = Ghent University [Belgium] (UGENT), School of Geography, Geology and Environment, University of Leicester, Leicester, UK, Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena- Leipzig, Leipzig, Germany, University of Toronto [Scarborough, Canada], Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy, Department of Plant Biology and Ecology, University of the Basque Country UPV/ EHU, Bilbao, Spain, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy, BIGEA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum – University of Bologna, Bologna, Italy, Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica, The University of Arizona, Tucson, AZ, USA, University of Alaska [Anchorage], Royal Botanic Gardens, Kew, Department of Biology, University of Pisa, Pisa, Italy, Department of Plant Sciences, University of Cambridge, Cambridge, UK, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia, Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Department of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa, Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, Republic of Korea, Department of Botany and Biodiversity Research, University of Vienna, Department of Environmental and Life Sciences – Biology, Karlstad University, Quantitative Plant Ecology and Biodiversity Research Laboratory, Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Justus Liebig University, Justus-Liebig-Universität Gießen (JLU), University of Sassari, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Universidade de São Paulo (USP), Harvard University [Cambridge], Federal University of Rio Grande do Sul, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of Campinas [Campinas] (UNICAMP), University of Cagliari, Universidad de Chile, University of Natural Resources and Life Sciences (BOKU), University of California, Norwegian Institute of Bioeconomy Research (NIBIO), Kyoto University [Kyoto], Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), University of Copenhagen = Københavns Universitet (KU), University of Venda, Philipps University of Marburg, Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, State University of New York, Stonybrook, IT University of Copenhagen, Smithsonian Environmental Research Center, Humboldt University of Berlin, Georg-August-University [Göttingen], Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Nelson Mandela Metropolitan University [Port Elizabeth, South Africa], Netherlands Centre for Biodiversity Naturalis, University of Leipzig [Leipzig, Allemagne], Unité d'Agronomie, University of Debrecen-Research Centre for Molecular Medicine-Medical and Health Science Centre, Global Change Research Institute, University of California [Berkeley], Natural resources institute Finland, Universita degli Studi di Cagliari [Cagliari], Tel Aviv University [Tel Aviv], Oklahoma State University [Stillwater], Kyoto University [Kyoto]-Kyoto University [Kyoto], Universidade Estadual de Campinas (UNICAMP), Universidad Nacional Autónoma de México (UNAM), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Universidad Autonoma de Madrid (UAM), University of Parma = Università degli studi di Parma [Parme, Italie], University of Milan, Forschungszentrum Juelich, Université Nice Sophia Antipolis (... - 2019) (UNS), U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), University of Extremadura, University of Göttingen - Georg-August-Universität Göttingen, Universidade de Lisboa (ULISBOA), Federal University of Lavras, Universita degli Studi di Padova, Leiden University, University of California [Riverside] (UCR), Ferdowsi University of Mashhad, Museo Nacional de Ciencias Naturales (MNCN), Departments of Botany and Zoology, Federal University of Para - Universidade Federal do Para [Belem - Brésil], Institut National de la Recherche Agronomique (INRA)-Université d'Orléans (UO), Institut national polytechnique Félix Houphouët-Boigny, Universität Leipzig [Leipzig], Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA), Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), and Factulad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Imperial College London, London SW7 2AZ, UK., Department of Zoology, University of Oxford, Oxford, UK, Balliol College, University of Oxford, Oxford, UK, University of Roma Tre, Rome, Italy, Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, Mytilene, Greece, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland, Tartu Observatory, University of Tartu, Tartumaa, Estonia, Graduate School of Life Sciences, Tohoku University, Sendai, Japan, Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Universidad de Jaén, Jaén, Spain, UMR Nancy-Université- INRA Agronomie et Environnement Nancy-Colmar, Nancy Université, Conicet-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina, Environmental Sciences, Guelph, University of Massachusetts Amherst, Amherst, MA, USA, Wageningen University and Research Center (WUR), University of Victoria, Victoria, BC, Canada, Department of Ecology, University of Innsbruck, Innsbruck, Austria, Department of Biological Sciences-Lancaster University, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Helmholtz Centre for Environmental Research (UFZ), School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA, Université Clermont Auvergne (UCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universiteit Gent [Ghent], School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA, University of Tasmania, Hobart, Tas., Australia, AMAP, IRD, Herbier de Nouvelle-Calédonie, Nouméa, New Caledonia, Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Friedrich-Schiller-Universität Jena, Jena, Germany, Università degli Studi di Roma 'La Sapienza' [Rome], wiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland, Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Tropical Agricultural Centre for Research and Higher Education (CATIE), Tropical Agricultural Centre for Research and Higher Education, Univ. Bordeaux, INRAE, BIOGECO, Cestas, France, Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA, Royal Botanic Gardens, Kew, West Sussex, UK, Department of Biology, Colorado State University, Fort Collins, CO, USA, Hawkesbury Institute for the Environment, Western Sydney University, Sydney, NSW, Australia, Department of Botany and Zoology, Masaryk University, Brno, Czech Republic, Faculty of Environmental Sciences, University of Life Sciences Prague, Praha-Suchdol, Czech Republic, Institute of Botany, Czech Academy of Sciences, Třeboň, Czech Republic, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden, MTA Centre for Ecological Research, Tihany, Hungary, Swedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden, Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS)-Université de Guyane (UG)-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), University of Florida [Gainesville], UFZ - Helmholtz Centre for Environmental Research, School of Geography, Earth and Environmental Sciences – University of Birmingham, Universitat Autònoma de Barcelona [Barcelona] (UAB), University of Ordu, Council for Agricultural Research and Economics (CREA), Université de Sherbrooke [Sherbrooke], Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), United States Department of Agriculture - USDA (USA), Smithsonian Institution, Carnegie Museum of Natural History, Friedrich-Schiller-Universität Jena, Biodiversité, Gènes et Communautés, Goethe-Universität Frankfurt am Main-Senckenberg Gesellschaft für Naturforschung, University of Natural Resources and Applied Life Sciences (BOKU), Florida International University (FIU), Université Catholique de Louvain (UCL), Stanford University [Stanford], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), University of Tasmania (UTAS), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Charles University [Prague], Ghent University [Belgium] (UGENT), Helmholtz Zentrum für Umweltforschung (UFZ), Hokkaido University, Technical University of Munich (TUM), Wageningen University and Research Centre [Wageningen] (WUR), Georg-August-Universität Göttingen, Western Sydney University (UWS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada, Université de Sherbrooke, Masaryk University, Czech Academy of Sciences [Prague] (ASCR), Natural Resources Institute Finland, Landcare Research [Lincoln], Université de Montréal [Montréal], Université Libre de Bruxelles [Bruxelles] (ULB), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), French Institute of Pondicherry (IFP), Normal Zhejiang University, Estonian University of Life Sciences, Institute of Biology Bucharest, Romanian Academy, VU University Amsterdam, Astronomical Institute of the Czech Academy of Sciences, Technische Universität München [München] (TUM), University of Parma, Cardiff School of Social Sciences, University of Cardiff, University of Minnesota [Twin Cities], Manaaki Whenua Landcare Research, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Brookhaven National Laboratory [Upton] (BNL), Stony Brook University [SUNY] (SBU), University of Zürich [Zürich] (UZH), Algoma University [Canada], University of Goettingen, University of Wuerzburg, University of Würzburg, AFSSA, Sherbrooke University, University of Lisbon, Department of Biology (University of Florida), Florida Museum of Natural History, Technical University in Zvolen, University of Zvolen, Fac Forestry & Wood Sci, Université du Québec à Montréal (UQAM), Bioversity International, Consultative Group on International Agricultural Research [CGIAR], Université Clermont Auvergne (UCA), Vrije Universiteit [Brussels] (VUB), University of Tsukuba, Kattge, Jen, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D A, Aakala, Tuoma, Abedi, Mehdi, Acosta, Alicia Teresa Rosario, Adamidis, George C, Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H, Alcántara, Julio M, Alcázar C, Carolina, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M, Anand, Madhur, Anderson, Carolyn, Anten, Niel, Antos, Joseph, Apgaua, Deborah Mattos Guimarãe, Ashman, Tia-Lynn, Asmara, Degi Harja, Asner, Gregory P, Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup-Spohr, Lar, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J, Bakker, Jan P, Baldocchi, Denni, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jo, Barneche, Diego R, Baruch, Zdravko, Bastianelli, Deni, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Han, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo-Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Bergmann Carlucci, Marco, Berner, Logan, Bernhardt-Römermann, Marku, Bigler, Christof, Bjorkman, Anne D, Blackman, Chri, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra-González, Kelly T, Boeckx, Pascal, Bohlman, Stephanie, Böhning-Gaese, Katrin, Boisvert-Marsh, Laura, Bond, William, Bond-Lamberty, Ben, Boom, Arnoud, Boonman, Coline C F, Bordin, Kauane, Boughton, Elizabeth H, Boukili, Vanessa, Bowman, David M J S, Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R, Brown, Kerry A, Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W, Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E, Bürger, Jana, Burrascano, Sabina, Burslem, David F R P, Butterfield, Bradley J, Byun, Chaeho, Marques, Marcia, Scalon, Marina C, Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, Jame, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano-Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A, Cavender-Bares, Jeannine, Cerabolini, Bruno E L, Cervellini, Marco, Chacón-Madrigal, Eduardo, Chapin, Kenneth, Chapin, F Stuart, Chelli, Stefano, Chen, Si-Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong-Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluí, Collins, Courtney G, Conti, Luisa, Coomes, David, Cornelissen, Johannes H C, Cornwell, William K, Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P G M, Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthia, da Silva, Ana Carolina, Dahlin, Kyla M, Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang-Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, de Beer, Arend Jacobu, De Frutos, Angel, De Long, Jonathan R, Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicola, Derroire, Géraldine, Dias, Arildo S, Diaz-Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G, Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E-Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, Jame, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel-Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F, Fagan, William F, Fagúndez, Jaime, Falster, Daniel S, Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez-Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J, Flynn, Dan F B, Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Loui, Frangipani, Marcelo, Frank, Dorothea, Frenette-Dussault, Cedric, Freschet, Grégoire T, Fry, Ellen L, Fyllas, Nikolaos M, Mazzochini, Guilherme G, Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García-Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Lui, de Gasper, André Luí, Gea-Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N, Giroldo, Aelton, Glasenhardt, Mary-Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez-Akre, Erika, Gonzalez-Andujar, Jose L, González-Melo, André, González-Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A, Gregor, Thoma, Gross, Nicola, Guerin, Greg R, Günther, Angela, Gutiérrez, Alvaro G, Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P, Hattingh, Wesley, Hawes, Joseph E, He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana-Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thoma, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L, Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough-Snee, Nate, Hovstad, Knut Ander, Ichie, Tomoaki, Igić, Bori, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M, Izquierdo, Jordi, Jackson, Robert B, Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M, Jandt, Ute, Jansen, Steven, Jenkins, Thoma, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo-Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J, Joly, Carlos Alfredo, Jordan, Gregory J, Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R, Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I, Kinlock, Nicole L, Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thoma, Kjøller, Rasmu, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M H, Kohyama, Takashi, Koike, Fumito, Kollmann, Johanne, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J B, Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jona, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean-Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J, Laughlin, Daniel, Le Bagousse-Pinguet, Yoann, le Maire, Guerric, le Roux, Peter C, le Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L, Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W, Liebergesell, Mario, Lim, Jun Ying, Lin, Yan-Shih, Linares, Juan Carlo, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López-García, Álvaro, Lopez-Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A, Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mende, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio-Silva, Viniciu, Marcon, Eric, Marignani, Michela, Markesteijn, Lar, Martin, Adam, Martínez-Garza, Cristina, Martínez-Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, Mccarthy, Jame, Mccormack, M Luke, Mcculloh, Katherine, Mcfadden, Ian R, Mcgill, Brian J, Mcpartland, Mara Y, Medeiros, Juliana S, Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P L, Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T, Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E D, Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T, Molnár, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A, Monty, Arnaud, Moravcová, Lenka, Moreno-Martínez, Alvaro, Moretti, Marco, Mori, Akira S, Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D, Müller, Sandra Cristina, Munoz, Françoi, Myers-Smith, Isla H, Myster, Randall W, Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S, Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly-Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E, Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E, Ordonez, Jenny C, Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E, Ozinga, Wim A, Pahl, Anna T, Paine, C E Timothy, Pakeman, Robin J, Papageorgiou, Aristotelis C, Parfionova, Evgeniya, Pärtel, Meeli, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G, Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Lui, Petisco-Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L, Pierce, Simon, Pillar, Valério D, Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A Shafer, Power, Sally A, Prinzing, Andrea, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johanne, Ray, Courtenay A, Reich, Peter B, Reichstein, Marku, Reid, Douglas E B, Réjou-Méchain, Maxime, de Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C, Riviera, Fiamma, Robert, Elisabeth M R, Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Viniciu, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A, Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B, Royer-Tardif, Samuel, Rüger, Nadja, Ruiz-Peinado, Ricardo, Rumpf, Sabine B, Rusch, Graciela M, Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado-Negret, Beatriz, Salguero-Gomez, Roberto, Santa-Regina, Ignacio, Santacruz-García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer-Lorenzen, Michael, Schleuning, Matthia, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V, Schowanek, Simon D, Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C, Sharpe, Joanne M, Sheppard, Christine S, Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlo, Silva, Vasco, Silva, Mateu, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G, Sodhi, Darwin, Soltis, Pamela, Soltis, Dougla, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski, Enio Egon, Soudzilovskaia, Nadejda A, Souza, Alexandre F, Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B, Stegen, Jame, Steinbauer, Klau, Stephan, Jörg G, Sterck, Frank, Stojanovic, Dejan B, Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens-Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, Te Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E, Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G, Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres-Ruiz, José M, Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L, Tsiripidis, Ioanni, Tysklind, Nikla, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, van Bodegom, Peter M, van Breugel, Michiel, Van Cleemput, Elisa, van de Weg, Martine, van der Merwe, Stephni, van der Plas, Fon, van der Sande, Masha T, van Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J, Verbeeck, Han, Verheyen, Kri, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P, Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, Jame, Weber, Ulrich, Weedon, James T, Wei, Liping, Weigelt, Patrick, Weiher, Evan, Wells, Aidan W, Wellstein, Camilla, Wenk, Elizabeth, Westoby, Mark, Westwood, Alana, White, Philip John, Whitten, Mark, Williams, Mathew, Winkler, Daniel E, Winter, Klau, Womack, Chevonne, Wright, Ian J, Wright, S Joseph, Wright, Justin, Pinho, Bruno X, Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Kátia Janaina, Zanne, Amy E, Zelený, David, Zhao, Yun-Peng, Zheng, Jingming, Zheng, Ji, Ziemińska, Kasia, Zirbel, Chad R, Zizka, Georg, Zo-Bi, Irié Casimir, Zotz, Gerhard, Wirth, Christian, AXA Research Fund, Commission of the European Communities, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-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), Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Leydet, Michelle, Max Planck Institute for Biogeochemistry, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Universidad Nacional de Córdoba, LECA, Imperial College, Université Paris-Saclay, Tarbiat Modares University, University of Roma Tre, Tohoku University, IMBE, Universidad de Jaén, Instituto Alexander Von Humboldt, National Institute of Amazonian Research (INPA), Suez Canal University, Université de Lorraine, University of Göttingen, Universidad Nacional de Río Negro, Conicet-Consejo Nacional de Investigaciones Científicas y Técnicas, Pacific Northwest National Laboratory, University of Massachusetts Amherst, Wageningen University, University of Victoria, James Cook University, University of Pittsburgh, Université Laval, Arizona State University, University of North Florida, Australian National University, Natural Resources Canada, University of Copenhagen, Royal Botanic Gardens Kew, University of Groningen, University of California Berkeley, Wilfrid Laurier University, University of Minnesota, The University of Adelaide, UMR SELMET, Univ Montpellier, University of California at Berkeley, Colorado State University, Ghent University, Helmholtz Centre for Environmental Research – UFZ, Royal Museum for Central Africa, University of Tennessee, Rocky Mountain Biological Laboratory, Université du Québec À Montréal, Museo Nacional de Ciencias Naturales-CSIC, Universidad Nacional de Colombia, Fundación Natura, Universidade Federal do Rio Grande do Sul, Northern Arizona University, Friedrich Schiller University Jena, ETH Zurich, University of Gothenburg, Université Clermont-Auvergne, USDA-ARS Rangeland Resources & Systems Research Unit, Grupo de Investigación en Biodiversidad y Dinámica de Ecosistémas Tropicales - Universidad del Tolima, University of Florida, Senckenberg Biodiversity and Climate Research Centre, Goethe Universität Frankfurt, University of Cape Town, SAEON Fynbos Node, Radboud University, Archbold Biological Station's Buck Island Ranch, University of Connecticut, University of Tasmania, Universidad Nacional de Santiago del Estero, University of Nottingham, Kingston University, Martin Luther University Halle-Wittenberg, Universidad Nacional del Litoral (FICH-UNL), Université de Montpellier, Herbier de Nouvelle-Calédonie, University of Toronto Scarborough, Aarhus University, New Jersey Institute of Technology, Sapienza University of Rome, Yonsei University, Università degli Studi di Milano, Aix-Marseille University, ETH Zürich, Snow and Landscape Research WSL, The University of Melbourne, Instituto Pirenaico de Ecología (IPE-CSIC), Colgate University, University of Camerino, University of the Basque Country UPV/EHU, CATIE-Centro Agronómico Tropical de Investigación y Enseñanza, BIOGECO, King's College London, University of Insubria, Alma Mater Studiorum – University of Bologna, Universidad de Costa Rica, The University of Arizona, University of Alaska Fairbanks, Royal Botanic Gardens, WSL Swiss Federal Research Institute, University of British Columbia, CREA – Research Centre for Forestry and Wood, Jungwon University, University of Pisa, University of Lleida, Joint Research Unit CTFC – AGROTECNIO, University of California Riverside, University of Life Sciences Prague, Czech Academy of Sciences, University of Cambridge, Vrije Universiteit, UNSW Sydney, Jonah Ventures, Universidad Mayor, Swedish University of Agricultural Sciences, Nelson Mandela University, MTA Centre for Ecological Research, UMR Silva, Santa Catarina State University, Michigan State University, Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, University of Science – Vietnam National University Ho Chi Minh City, University of Pretoria, Netherlands Institute of Ecology, UFZ – Helmholtz Centre for Environmental Research, Seoul National University, Institute of Temperate Forest Sciences (ISFORT), UQO, Université de la Guyane), Goethe-Universität Frankfurt, Iluka Resources, The University of Western Australia, University of Vienna, University of South Bohemia, Karlstad University, Earth and Environmental Sciences – University of Birmingham, Spanish National Research Council – CSIC, CREAF, University of Maryland, University of A Coruña, Rutgers University, Peking University, Ordu University, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidade Estadual Paulista (Unesp), Queensland University of Technology (QUT), Arnold Arboretum of Harvard University, Université de Rouen, University of Liège, Géopole de l'Université de Sherbrooke, Paul Sabatier University Toulouse, University of Manchester, Universidade Federal do Rio Grande do Norte – UFRN, Universidad Rey Juan Carlos, Universidad Nacional de La Patagonia Austral, Univ. Paul Valéry, Consejo Superior de Investigaciones Científicas, Universidade Regional de Blumenau, Southern Illinois University Carbondale, Instituto Federal de Educação Ciência e Tecnologia do Ceará, Agricultural Research Service, ETH Zürich (Swiss Federal Institute of Technology), CSIC – Institute for Sustainable Agriculture (IAS), Universidad del Rosario, Norwegian University of Science and Technology NTNU, University of Alcalá, UMR Ecosystème Prairial, The University of Manchester, China Agricultural University, Chinese Academy of Sciences, University of Reading, University of the Witwatersrand, Anglia Ruskin University, Norwegian University of Life Sciences, Curtin University, INP-HB, Scientific Campus of the University of the Basque Country, Goethe University, University of Natural Resources and Life Sciences, The Field Museum, Florida International University, US Department of Energy, Santa Cruz, Evolution and Biodiversity Conservation, Kochi University, University of Illinois at Chicago, Universitat de Barcelona, University of Toronto, Ural Branch of the Russian Academy of Sciences, Oak Ridge National Laboratory, Universitat Politècnica de Catalunya, Polish Academy of Sciences, Poznan University of Life Sciences, Ulm University, Guangxi University, Jl. Kebun Raya Cibodas, Philipps-University Marburg, University Salzburg, CIRAD, Humboldt State University, The Czech Academy of Sciences, Charles University, Karlsruhe Institute of Technology, Forestry and Forest Products Research Institute, State University of New York at Stony Brook, University of Amsterdam, CONICET, Universidad Nacional del Comahue, Weizmann Institute of Science, Helmholtz Centre for Environmental Research-UFZ, Xi'an Jiaotong Liverpool University, Technical University of Munich, Wageningen University & Research, Land Life Company, Coconut Research Institute of Sri Lanka, UMR Eco&Sols, University of Montpellier, Université du Québec en Abitibi-Témiscamingue, University of Saskatchewan, University of Natural Resources and Life Sciences Vienna, University of Wyoming, University of Wisconsin Eau Claire, Naturalis Biodiversity Center, University College London, Sun Yat-sen University, University of Leipzig, Shanghai Jiao Tong University, National Forestry and Grassland Administration, Universitat Autònoma de Barcelona, Wageningen University and Research, World Agroforestry (ICRAF), University of Jaén, DRI, Global Change Research Institute AS CR, Université du Québec à Trois-Rivières, Federal University of Alagoas, Bolin Centre for Climate Research, Universidad Autónoma del Estado de Morelos, Manaaki Whenua - Landcare Research, Institut de recherche en biologie végétale, Université de Montréal, Tel Aviv University, The University of Queensland, CSIRO, Manaaki Whenua – Landcare Research, Université Libre de Bruxelles, The Australian National University, The University of Edinburgh, Universidade Federal de Pernambuco (UFPE), ICREA, UEFP, University of Waterloo, Tulipan s/n, Vrije Universiteit Brussel, University of Illinois at Urbana-Champaign, University of Vermont, Centre for Northern Forest Ecosystem Research, Matieland, University of Freiburg, University of Hawai'i, Université Grenoble-Alpes, French Institute of Pondicherry, Oklahoma State University, Charles Darwin Research Station, University of Idaho, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Universidad Distrital Francisco José de Caldas, NORD University, NTNU, Gifu University, Romanian Academy, Tercer Circuito s/n de Ciudad Universitaria, Universidad Nacional Autónoma de México, Moscow Lomonosov State University, Universidad de las Américas, Wageningen Environmental Research, Technische Universität München, University of New England, Democritus University of Thrace, Universidad Austral de Chile, Desertification Research Center (CIDE-CSIC), Universidad Autónoma de Madrid, Instituto Nacional de Tecnología Agropecuaria (INTA), National Institute for Research-Development in Forestry, University of Regensburg, McGill University, Morton Arboretum, Université Rennes 1/CNRS, Université Paul Valéry, Southwest University of Science and Technology, Universitat de Lleida, Universidade Federal do Acre, Manaaki Whenua-Landcare Research, Centre for Ecological Research and Forestry Applications (CREAF), Royal Museum for Central-Africa (RMCA), Mississippi State University, Radboud University Nijmegen, Yale University, Brookhaven National Laboratory, Ciudad Universitaria, University of Zurich, Chastè Planta-Wildenberg, Centre for Ecology & Hydrology (CEH), Canadian Forest Service, University of Valladolid-INIA, University of Lausanne, Norwegian Institute for Nature Research, Oxford University, Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA-CSIC), Universidade de Coimbra, Senckenberg Biodiversität und Klima Forschungszentrum (SBiK-F), Palmengarten der Stadt Frankfurt am Main, Research Institute for Humanity and Nature, University of Regina, Technische Universität Ilmenau, Università degli Studi di Padova, Gothenburg Botanical Garden, Texas Tech University, Archbold Biological Station, Universidade Federal do Rio Grande do Norte, Slovak Academy of Sciences, Czech University of Life Sciences, Estación Experimental de Zonas Áridas (CSIC), CIRAD-UMR SELMET-PZZS, Hacettepe University, Utrecht University, Canadian Wood Fibre Centre, University of Sheffield, Silwood Park, MTA-DE Lendület Functional and Restoration Ecology Research Group, University of Delaware, UMR PIAF, MTA-TKI Biodiversity and Ecosystem Services Research Group, University of Illinois, Botanical Garden of Ural Branch of Russian Academy of Sciences, University of New Hampshire, National University of Singapore, Edinburgh University, Florida Institute of Technology, University of Konstanz, Taizhou University, University of Erlangen-Nuremberg, Universidad de Concepcion, Bulgarian Academy of Sciences, Museu Paraense Emilio Goeldi, Universidad de las Fuerzas Armadas (ESPE), Goa University, Pondicherry University, Carl von Ossietzky University of Oldenburg, Cambridge Conservation Initiative, Tsinghua University, Chinese Academy of Forestry, Fujian Normal University, Vrije Universiteit Amsterdam, Maritime and Science Technology Academy, University of Winnipeg, King Saud University, University of California – Irvine, U. S. Geological Survey, Duke University, NSW Department of Primary Industries, SUNY-College of Environmental Science and Forestry, Sorbonne-Université, Laboratório de Ecologia Vegetal (LEVEG), George Washington University, National Taiwan University, Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), University Oldenburg, and Biyoloji
Subjects: [SDE] Environmental Sciences, LIFE-HISTORY, Geography & travel, WOOD DENSITY, plant trait, Biodiversity & Conservation, 05 Environmental Sciences, Growth, 580 Plants (Botany), COMMUNITY COMPOSITION, ROOT TRAITS, Biologiska vetenskaper, Ecological modeling, data coverage, data integration, data representativeness, functional diversity, plant traits, TRY plant trait database, Biodiversity, Ecology, Plants, Access to Information, Ecosystem, data representativene, ddc:910, General Environmental Science, Global and Planetary Change, GLOBAL PATTERNS, food and beverages, LEAF PHOTOSYNTHETIC TRAITS, Biological Sciences, CAVElab, Data processing, ddc:580, [SDE]Environmental Sciences, Biodiversity Conservation, Life Sciences & Biomedicine, INCLINATION ANGLE DISTRIBUTION, Environmental Sciences & Ecology, Ecology and Environment, Database, LITTER DECOMPOSITION, ddc:570, Datenintegration, Environmental Chemistry, DDC 004 / Data processing & computer science, Intraspecific competition, Data integration (Computer science), Science & Technology, Biology and Life Sciences, Plant, 06 Biological Sciences, Environmental factor, Nutrient Network, Biology and Microbiology, FUNCTIONAL TRAITS, DDC 580 / Botanical sciences, Earth and Environmental Sciences, ddc:004, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Sciences, RELATIVE GROWTH-RATE
Abstract: Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives., publishedVersion
Published: 2020

46. Designing forest biodiversity experiments:General considerations illustrated by a new large experiment in subtropical China

Author: Andreas Schuldt, Helge Bruelheide, Pascal A. Niklaus, Stefan Trogisch, Xiaojuan Liu, Hong-Zhang Zhou, Peter Kühn, Alexandra Erfmeier, Yu Liang, Sabine Both, Jin-Sheng He, François Buscot, Liang-Dong Guo, Thorsten Assmann, Bing-Yang Ding, Thomas Scholten, Keping Ma, Werner Härdtle, Xuefei Yang, Bernhard Schmid, Stefan G. Michalski, Alexandra-Maria Klein, Jessica L. M. Gutknecht, Jürgen Bauhus, Gunnar Seidler, Shouren Zhang, Markus Fischer, Christian Wirth, Walter Durka, Erik Welk, Xiao-Yong Chen, Karin Nadrowski, Kequan Pei, Michael Scherer-Lorenzen, Mingjian Yu, Dali Guo, Goddert von Oheimb, Tesfaye Wubet, University of Zurich, and Bruelheide, Helge
Subjects: China, Planting pattern, ved/biology.organism_classification_rank.species, Biodiversity, Biology, 580 Plants (Botany), BEF-China, Shrub, Genetic diversity, Ecosystem services, Trait-oriented extinction sequence, 10127 Institute of Evolutionary Biology and Environmental Studies, 2302 Ecological Modeling, Limiting similarity, Forest ecology, species richness, BEF, Ecology, Evolution, Behavior and Systematics, planting pattern, Extinction, ecoscape, trait, Ecology, ved/biology, Random partitions design, Ecological Modeling, Ecoscape, genetic diversity, 1105 Ecology, Evolution, Behavior and Systematics, random partitions design, 570 Life sciences, biology, 590 Animals (Zoology), Species richness, Microcosm, oriented extinction sequence
Abstract: Summary: Biodiversity-ecosystem functioning (BEF) experiments address ecosystem-level consequences of species loss by comparing communities of high species richness with communities from which species have been gradually eliminated. BEF experiments originally started with microcosms in the laboratory and with grassland ecosystems. A new frontier in experimental BEF research is manipulating tree diversity in forest ecosystems, compelling researchers to think big and comprehensively. We present and discuss some of the major issues to be considered in the design of BEF experiments with trees and illustrate these with a new forest biodiversity experiment established in subtropical China (Xingangshan, Jiangxi Province) in 2009/2010. Using a pool of 40 tree species, extinction scenarios were simulated with tree richness levels of 1, 2, 4, 8 and 16 species on a total of 566 plots of 25·8 × 25·8 m each. The goal of this experiment is to estimate effects of tree and shrub species richness on carbon storage and soil erosion; therefore, the experiment was established on sloped terrain. The following important design choices were made: (i) establishing many small rather than fewer larger plots, (ii) using high planting density and random mixing of species rather than lower planting density and patchwise mixing of species, (iii) establishing a map of the initial 'ecoscape' to characterize site heterogeneity before the onset of biodiversity effects and (iv) manipulating tree species richness not only in random but also in trait-oriented extinction scenarios. Data management and analysis are particularly challenging in BEF experiments with their hierarchical designs nesting individuals within-species populations within plots within-species compositions. Statistical analysis best proceeds by partitioning these random terms into fixed-term contrasts, for example, species composition into contrasts for species richness and the presence of particular functional groups, which can then be tested against the remaining random variation among compositions. We conclude that forest BEF experiments provide exciting and timely research options. They especially require careful thinking to allow multiple disciplines to measure and analyse data jointly and effectively. Achieving specific research goals and synergy with previous experiments involves trade-offs between different designs and requires manifold design decisions.
Published: 2014

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

46 results on '"Bruelheide, Helge"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources