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

Author:

Joswig Julia S.ORCID,Wirth ChristianORCID,Schuman Meredith C.ORCID,Kattge JensORCID,Reu Björn,Wright Ian J.ORCID,Sippel Sebastian D.ORCID,Rüger NadjaORCID,Richter RonnyORCID,Schaepman Michael E.ORCID,van Bodegom Peter M.ORCID,Cornelissen J. H. C.,Díaz SandraORCID,Hattingh Wesley N.ORCID,Kramer KoenORCID,Lens FredericORCID,Niinemets ÜloORCID,Reich Peter B.ORCID,Reichstein MarkusORCID,Römermann ChristineORCID,Schrodt FranziskaORCID,Anand Madhur,Bahn MichaelORCID,Byun ChaehoORCID,Campetella GiandiegoORCID,Cerabolini Bruno E. L.ORCID,Craine Joseph M.ORCID,Gonzalez-Melo Andres,Gutiérrez Alvaro G.ORCID,He Tianhua,Higuchi PedroORCID,Jactel Hervé,Kraft Nathan J. B.,Minden Vanessa,Onipchenko VladimirORCID,Peñuelas JosepORCID,Pillar Valério D.ORCID,Sosinski ÊnioORCID,Soudzilovskaia Nadejda A.,Weiher EvanORCID,Mahecha Miguel D.

Abstract

AbstractPlant 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.

Funder

EC | Horizon 2020 Framework Programme

NOMIS Stiftung

NOMIS grant Remotely Sensing Ecological Genomics to M. Schaepman

Max-Planck-Gesellschaft

C. Wirth acknowledges the support of the Max Planck Society via its fellowship programme.

Department of Education and Training | Australian Research Council

Deutsche Forschungsgemeinschaft

Ministerie van Buitenlandse Zaken

The trait data supplied was co-funded by the EU-FP7-KBBE project: BACCARA - Biodiversity and climate change, a risk analysis

National Research Foundation of Korea

Fondo Nacional de Desarrollo Científico y Tecnológico

Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico

Russian Science Foundation

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

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