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19 p, 2.8 MB |
Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation
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Joswig, Julia Sophia (University of Zurich. Department of Geography) ;
Wirth, Christian (University of Leipzig. Institute of Systematic Botany and Functional Biodiversity) ;
Schuman, Meredith (University of Zurich. Department of Chemistry) ;
Kattge, Jens (German Centre for Integrative Biodiversity Research (Halle-Jena-Leipzig, Alemanya)) ;
Reu, Björn (Universidad Industrial de Santander. Escuela de Biología) ;
Wright, Ian J. (Macquarie University. Department of Biological Sciences) ;
Sippel, Sebastian (Norwegian Institute of Bioeconomy Research) ;
Rüger, Nadja (Smithsonian Tropical Research Institute) ;
Richter, Ronny (Institute for Geography, University of Leipzig. Geoinformatics and Remote Sensing) ;
Schaepman, Michael E. (University of Zurich. Remote Sensing Laboratories, Department of Geography) ;
van Bodegom, Peter (Leiden University. Environmental Biology Department) ;
Cornelissen, J. H. C. (Vrije Universiteit Amsterdam. Department of Ecological Science) ;
Díaz, Sandra (Universidad Nacional de Córdoba. Instituto Multidisciplinario de Biología Vegetal) ;
Hattingh, Wesley (Nova Pioneer. Global Systems and Analytics) ;
Kramer, Koen (Land Life Company, Amsterdam, the Netherlands) ;
Lens, Frederic (Leiden University. Institute of Biology Leiden) ;
Niinemets, Ülo (Estonian University of Life Sciences) ;
Reich, Peter (University of Michigan. Institute for Global Change Biology and School for Environment and Sustainability) ;
Reichstein, Markus (German Centre for Integrative Biodiversity Research (Halle-Jena-Leipzig, Alemanya)) ;
Römermann, Christine (Friedrich-Schiller University. Department of Plant Biodiversity) ;
Schrodt, Franziska (University of Nottingham. School of Geography) ;
Anand, Madhur (University of Guelph. School of Environmental Sciences) ;
Bahn, Michael (University of Innsbruck. Department of Ecology) ;
Byun, Chaeho (Andong National University. Department of Biological Sciences and Biotechnology) ;
Campetella, Giandiego (University of Camerino. School of Biosciences and Veterinary Medicine) ;
Cerabolini, Bruno Enrico Leone (University of Insubria. Department of Biotechnologies and Life Sciences) ;
Craine, Joseph (Jonah Ventures LLC) ;
Gonzalez-Melo, Andres (Universidad del Rosario) ;
Gutiérrez, Alvaro G. (Universidad de Chile. Departamento de Ciencias Ambientales y Recursos Naturales Renovables) ;
He, Tianhua (Murdoch University. College of Science, Health, Engineering and Education) ;
Higuchi, Pedro (Universidade do Estado de Santa, Catarina. Department of Forestry) ;
Jactel, Hervé (University Bordeaux) ;
Kraft, Nathan J. B. (University of California. Department of Ecology and Evolutionary Biology) ;
Minden, Vanessa (University of Oldenburg. Institute of Biology and Environmental Sciences) ;
Onipchenko, Vladimir (Moscow State Lomonosov University. Department of Ecology and Plant Geography) ;
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Pillar, Valério (Universidade Federal do Rio Grande do Sul. Department of Ecology) ;
Sosinski, Ênio (Embrapa Recursos Genéticos e Biotecnologia) ;
Soudzilovskaia, Nadejda A. (Leiden University. Institute of Environmental Sciences) ;
Weiher, Evan (University of Wisconsin. Department of Biology) ;
Mahecha, Miguel D. (Helmholtz Centre for Environmental Research)
Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land-climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. [...]
2022 -  10.1038/s41559-021-01616-8
Nature ecology & evolution, Vol. 6, Issue 1 (January 2022) , p. 36-50
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18 p, 1.6 MB |
Assessing the reliability of predicted plant trait distributions at the global scale
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Boonman, Coline C. F. (Radboud University. Department of Environmental Science) ;
Benítez López, Ana (Radboud University. Department of Environmental Science) ;
Schipper, Aafke M. (Radboud University. Department of Environmental Science) ;
Thuiller, Wilfried (Université Grenoble Alpes) ;
Anand, Madhur (University of Guelph. School of Environmental Sciences) ;
Cerabolini, Bruno Enrico Leone (Università degli Studi dell'Insubria. Dipartimento di Scienze Teoriche e Applicate) ;
Cornelissen, J. H. C. (Vrije Universiteit Amsterdam. Department of Ecological Science) ;
Gonzalez-Melo, Andres (Universidad del Rosario (Bogotà, Colòmbia). Facultad de Ciencias Naturales y Matematicas) ;
Hattingh, Wesley (University of the Witwatersrand) ;
Higuchi, Pedro (Santa Catarina State University) ;
Laughlin, Daniel C. (University of Wyoming. Department of Botany) ;
Onipchenko, Vladimir (Moskovskiĭ gosudarstvennyĭ universitet im. M.V. Lomonosova) ;
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Poorter, Lourens (Wageningen University. Forest Ecology and Forest Management Group) ;
Soudzilovskaia, Nadejda A. (Leiden University. Environmental Biology Department) ;
Huijbregts, Mark A. J. (Institute for Water and Wetland Research) ;
Santini, Luca (Institute for Water and Wetland Research)
Predictions of plant traits over space and time are increasingly used to improve our understanding of plant community responses to global environmental change. A necessary step forward is to assess the reliability of global trait predictions. [...]
2020 - 10.1111/geb.13086
Global ecology and biogeography, Vol. 29, Issue 6 (June 2020) , p. 1034-1051
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16 p, 523.4 KB |
Robustness of trait connections across environmental gradients and growth forms
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Flores Moreno, Habacuc (University of Minnesota. Department of Ecology, Evolution, and Behavior) ;
Fazayeli, Farideh (University of Minnesota. Department of Computer Science and Engineering) ;
Banerjee, Arindam (University of Minnesota. Department of Computer Science and Engineering) ;
Datta, Abhirup (Johns Hopkins University. Department of Biostatistics) ;
Kattge, Jens (Max Planck Institute for Biogeochemistry) ;
Butler, Ethan E. (University of Minnesota. Department of Forest Resources) ;
Atkin, Owen K. (The Australian National University. Research School of Biology) ;
Wythers, Kirk (University of Minnesota. Department of Forest Resources) ;
Chen, Ming (University of Minnesota. Department of Forest Resources) ;
Anand, Madhur (University of Guelph. School of Environmental Sciences) ;
Bahn, Michael (University of Innsbruck. Institute of Ecology) ;
Byun, Chaeho (Seoul National University. School of Biological Sciences) ;
Cornelissen, J. H. C. (Vrije Universiteit Amsterdam. Department of Ecological Science) ;
Craine, Joseph (Jonah Ventures (Kansas, Estats Units)) ;
Gonzalez-Melo, Andres (Universidad del Rosario (Bogotà, Colòmbia). Facultad de Ciencias Naturales y Matematicas) ;
Hattingh, Wesley N. (University of the Witwatersrand. School of Animal, Plant and Environmental Sciences) ;
Jansen, Steven (Ulm University. Institute of Systematic Botany and Ecology) ;
Kraft, Nathan J. B. (University of California. Department of Ecology and Evolutionary Biology) ;
Kramer, Koen (Wageningen University and Research) ;
Laughlin, Daniel C. (University of Wyoming. Department of Botany) ;
Minden, Vanessa (Vrije Universiteit Brussel. Department of Biology, Ecology and Biodiversity) ;
Niinemets, Ülo (Estonian University of Life Sciences. Institute of Agricultural and Environmental Sciences) ;
Onipchenko, Vladimir (Moscow State Lomonosov University. Department of Geobotany) ;
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Soudzilovskaia, Nadejda A. (Leiden University. Institute of Environmental Sciences) ;
Dalrymple, Rhiannon L. (University of New South Wales. School of Biological, Earth and Environmental Sciences) ;
Reich, Peter (University of Minnesota. Department of Forest Resources)
Aim: plant trait databases often contain traits that are correlated, but for whom direct (undirected statistical dependency) and indirect (mediated by other traits) connections may be confounded. The confounding of correlation and connection hinders our understanding of plant strategies, and how these vary among growth forms and climate zones. [...]
2019 - 10.1111/geb.12996
Global ecology and biogeography, Vol. 28, issue 12 (Dec. 2019) , p. 1806-1826
2 documents
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