Global relationships in tree functional traits

Autor: Daniel S. Maynard, Lalasia Bialic-Murphy, Constantin M. Zohner, Colin Averill, Johan van den Hoogen, Haozhi Ma, Lidong Mo, Gabriel Reuben Smith, Alicia T. R. Acosta, Isabelle Aubin, Erika Berenguer, Coline C. F. Boonman, Jane A. Catford, Bruno E. L. Cerabolini, Arildo S. Dias, Andrés González-Melo, Peter Hietz, Christopher H. Lusk, Akira S. Mori, Ülo Niinemets, Valério D. Pillar, Bruno X. Pinho, Julieta A. Rosell, Frank M. Schurr, Serge N. Sheremetev, Ana Carolina da Silva, Ênio Sosinski, Peter M. van Bodegom, Evan Weiher, Gerhard Bönisch, Jens Kattge, Thomas W. Crowther
Přispěvatelé: Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Estonian University of Life Sciences (EMU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM), Universidade Federal de Pernambuco [Recife] (UFPE), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, DANIEL S. MAYNARD, LALASIA BIALIC-MURPHY, CONSTANTIN M. ZOHNER, COLIN AVERILL, JOHAN VAN DEN HOOGEN, HAOZHI MA, LIDONG MO, GABRIEL REUBEN SMITH, ALICIA T. R. ACOSTA, ISABELLE AUBIN, ERIKA BERENGUER, COLINE C. F. BOONMAN, JANE A. CATFORD, BRUNO E. L. CERABOLINI, ARILDO S. DIAS, Goethe University, ANDRÉS GONZÁLEZ-MELO, PETER HIETZ, CHRISTOPHER H. LUSK, AKIRA S. MORI, ÜLO NIINEMETS, VALÉRIO D. PILLAR, BRUNO X. PINHO, JULIETA A. ROSELL, FRANK M. SCHURR, SERGE N. SHEREMETEV, ANA CAROLINA DA SILVA, ENIO EGON SOSINSKI JUNIOR, CPACT, PETER M. VAN BODEGOM, EVAN WEIHER, GERHARD BÖNISCH, JENS KATTGE, THOMAS W. CROWTHER., Maynard, Daniel S, Bialic-Murphy, Lalasia, Zohner, Constantin M, Averill, Colin, van den Hoogen, Johan, Ma, Haozhi, Mo, Lidong, Smith, Gabriel Reuben, Acosta, A. T. R., Aubin, Isabelle, Berenguer, Erika, Boonman, Coline C F, Catford, Jane A, Cerabolini, Bruno E L, Dias, Arildo S, González-Melo, André, Hietz, Peter, Lusk, Christopher H, Mori, Akira S, Niinemets, Ülo, Pillar, Valério D, Pinho, Bruno X, Rosell, Julieta A, Schurr, Frank M, Sheremetev, Serge N, da Silva, Ana Carolina, Sosinski, Ênio, van Bodegom, Peter M, Weiher, Evan, Bönisch, Gerhard, Kattge, Jen, Crowther, Thomas W
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications
Nature Communications, 2022, 13, ⟨10.1038/s41467-022-30888-2⟩
Nature Communications, 13, 1, pp. 1-12Nijmegen
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Nature Communications, 13(1):3185
Nature Communications, 13, 1-12Nijmegen
ISSN: 2041-1723
Popis: Due to massive energetic investments in woody support structures, trees are subject to unique physiological, mechanical, and ecological pressures not experienced by herbaceous plants. Despite a wealth of studies exploring trait relationships across the entire plant kingdom, the dominant traits underpinning these unique aspects of tree form and function remain unclear. Here, by considering 18 functional traits, encompassing leaf, seed, bark, wood, crown, and root characteristics, we quantify the multidimensional relationships in tree trait expression. We find that nearly half of trait variation is captured by two axes: one reflecting leaf economics, the other reflecting tree size and competition for light. Yet these orthogonal axes reveal strong environmental convergence, exhibiting correlated responses to temperature, moisture, and elevation. By subsequently exploring multidimensional trait relationships, we show that the full dimensionality of trait space is captured by eight distinct clusters, each reflecting a unique aspect of tree form and function. Collectively, this work identifies a core set of traits needed to quantify global patterns in functional biodiversity, and it contributes to our fundamental understanding of the functioning of forests worldwide.Understanding patterns in woody plant trait relationships and trade-offs is challenging. Here, by applying machine learning and data imputation methods to a global database of georeferenced trait measurements, the authors unravel key relationships in tree functional traits at the global scale.
Databáze: OpenAIRE
Externí odkaz: