Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation

被引:0
作者
Julia S. Joswig
Christian Wirth
Meredith C. Schuman
Jens Kattge
Björn Reu
Ian J. Wright
Sebastian D. Sippel
Nadja Rüger
Ronny Richter
Michael E. Schaepman
Peter M. van Bodegom
J. H. C. Cornelissen
Sandra Díaz
Wesley N. Hattingh
Koen Kramer
Frederic Lens
Ülo Niinemets
Peter B. Reich
Markus Reichstein
Christine Römermann
Franziska Schrodt
Madhur Anand
Michael Bahn
Chaeho Byun
Giandiego Campetella
Bruno E. L. Cerabolini
Joseph M. Craine
Andres Gonzalez-Melo
Alvaro G. Gutiérrez
Tianhua He
Pedro Higuchi
Hervé Jactel
Nathan J. B. Kraft
Vanessa Minden
Vladimir Onipchenko
Josep Peñuelas
Valério D. Pillar
Ênio Sosinski
Nadejda A. Soudzilovskaia
Evan Weiher
Miguel D. Mahecha
机构
[1] Max-Planck-Institute for Biogeochemistry,Remote Sensing Laboratories, Department of Geography
[2] University of Zurich,Institute of Systematic Botany and Functional Biodiversity
[3] German Centre for Integrative Biodiversity Research (iDiv),Department of Chemistry
[4] University of Leipzig,Escuela de Biología
[5] University of Zurich,Department of Biological Sciences
[6] Universidad Industrial de Santander,Institute for Atmospheric and Climate Science
[7] Macquarie University,Department of Economics
[8] ETH Zurich,Geoinformatics and Remote Sensing
[9] Norwegian Institute of Bioeconomy Research,Environmental Biology Department
[10] University of Leipzig,Systems Ecology, Department of Ecological Science
[11] Smithsonian Tropical Research Institute,Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET and FCEFyN
[12] Institute for Geography,Global Systems and Analytics
[13] University of Leipzig,Chairgroup Forest Ecology and Forest Management
[14] Institute of Environmental Sciences,Research Group Functional Traits
[15] CML,Plant Sciences
[16] Leiden University,Department of Forest Resources
[17] Faculty of Science,Hawkesbury Institute for the Environment
[18] Vrije Universiteit Amsterdam,Institute for Global Change Biology and School for Environment and Sustainability
[19] Universidad Nacional de Córdoba,Department of Plant Biodiversity
[20] Nova Pioneer,School of Geography
[21] Wageningen University,School of Environmental Sciences
[22] Land Life Company,Department of Ecology
[23] Naturalis Biodiversity Center,Department of Biological Sciences and Biotechnology
[24] Institute of Biology Leiden,Plant Diversity and Ecosystems Management Unit
[25] Leiden University,Department of Biotechnologies and Life Sciences (DBSV)
[26] Estonian University of Life Sciences,Facultad de Ciencias Naturales y Matemáticas
[27] University of Minnesota,Departamento de Ciencias Ambientales y Recursos Naturales Renovables, Facultad de Ciencias Agronómicas
[28] Western Sydney University,School of Molecular and Life Sciences
[29] University of Michigan,College of Science, Health, Engineering and Education
[30] Institute of Ecology and Evolution,Department of Forestry
[31] Friedrich-Schiller University,Department of Ecology and Evolutionary Biology
[32] University of Nottingham,Department of Biology
[33] University of Guelph,Landscape Ecology Group
[34] University of Innsbruck,Department of Ecology and Plant Geography
[35] Andong National University,Department of Ecology
[36] School of Biosciences and Veterinary Medicine,Centre for Environmental Sciences
[37] University of Camerino,Institute of Environmental Sciences
[38] University of Insubria,Department of Biology
[39] Jonah Ventures LLC,Remote Sensing Centre for Earth System Research
[40] Universidad del Rosario,undefined
[41] Universidad de Chile,undefined
[42] Curtin University,undefined
[43] Murdoch University,undefined
[44] Universidade do Estado de Santa,undefined
[45] Catarina,undefined
[46] INRAE University Bordeaux,undefined
[47] BIOGECO,undefined
[48] University of California,undefined
[49] Vrije Universiteit Brussel,undefined
[50] Institute of Biology and Environmental Sciences,undefined
来源
Nature Ecology & Evolution | 2022年 / 6卷
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摘要
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. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential. The orthogonality of these two axes suggests they are differently influenced by environmental drivers. We find that these axes persist in a global dataset of 17 traits across more than 20,000 species. We find a dominant joint effect of climate and soil on trait variation. Additional independent climate effects are also observed across most traits, whereas independent soil effects are almost exclusively observed for economics traits. Variation in size traits correlates well with a latitudinal gradient related to water or energy limitation. In contrast, variation in economics traits is better explained by interactions of climate with soil fertility. These findings have the potential to improve our understanding of biodiversity patterns and our predictions of climate change impacts on biogeochemical cycles.
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页码:36 / 50
页数:14
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