A global method for calculating plant CSR ecological strategies applied across biomes world‐wide
2016
Pierce, Simon | Negreiros, Daniel | Cerabolini, Bruno | Kattge, Jens | Díaz, Sandra | Kleyer, Michael | Shipley, Bill | Wright, Stuart Joseph | Soudzilovskaia, Nadejda | Onipchenko, Vladimir | van Bodegom, Peter | Frenette-Dussault, Cedric | Weiher, Evan | Pinho, Bruno | Cornelissen, Johannes | Grime, John Philip | Thompson, Ken | Hunt, Roderick | Wilson, Peter | Buffa, Gabriella | Nyakunga, Oliver | Reich, Peter | Caccianiga, Marco | Mangili, Federico | Ceriani, Roberta | Luzzaro, Alessandra | Brusa, Guido | Siefert, Andrew | Barbosa, Newton | Chapin, Francis Stuart | Cornwell, William | Fang, Jingyun | Fernandes, Geraldo Wilson | Garnier, Éric | Le Stradic, Soizig | Peñuelas, Josep | Melo, Felipe | Slaviero, Antonio | Tabarelli, Marcelo | Tampucci, Duccio | Università degli Studi di Milano = University of Milan (UNIMI) | Universidade Federal de Minas Gerais = Federal University of Minas Gerais [Belo Horizonte, Brazil] (UFMG) | Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria) | German Centre for Integrative Biodiversity Research (iDiv) | Max Planck Institute for Biogeochemistry (MPI-BGC) ; Max-Planck-Gesellschaft | 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] (FCEFyN) ; Universidad Nacional de Córdoba [Argentina]-Universidad Nacional de Córdoba [Argentina] | Institute of Biology and Environmental Sciences [Oldenburg] ; Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS) | Département de biologie [Sherbrooke] (UdeS) ; Faculté des sciences [Sherbrooke] (UdeS) ; Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS) | Institute of Environmental Sciences [Leiden] (CML) ; Universiteit Leiden = Leiden University | Moscow State University | Institut de Recherches en Biologie Végétale [Montréal] (IRBV) ; Université de Montréal (UdeM) | Department of Biology ; University of Wisconsin–Eau Claire (UWEC) | Universidade Federal de Pernambuco [Recife] (UFPE) | Department of Theoretical and Applied Sciences [Insubria] ; Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria) | Department of Animal and Plant Sciences [Sheffield] ; University of Sheffield [Sheffield] | Commonwealth Scientific and Industrial Research Organisation [Australia] (CSIRO) | University of Ca’ Foscari [Venice, Italy] | Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) ; 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 [Occitanie])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) | Universidade do Estado de Minas Gerais = Minas Gerais State University
International audience
Показать больше [+] Меньше [-]Английский. Summary Competitor, stress‐tolerator, ruderal ( CSR ) theory is a prominent plant functional strategy scheme previously applied to local floras. Globally, the wide geographic and phylogenetic coverage of available values of leaf area ( LA ), leaf dry matter content ( LDMC ) and specific leaf area ( SLA ) (representing, respectively, interspecific variation in plant size and conservative vs . acquisitive resource economics) promises the general application of CSR strategies across biomes, including the tropical forests hosting a large proportion of Earth's diversity. We used trait variation for 3068 tracheophytes (representing 198 families, six continents and 14 biomes) to create a globally calibrated CSR strategy calculator tool and investigate strategy–environment relationships across biomes world‐wide. Due to disparity in trait availability globally, co‐inertia analysis was used to check correspondence between a ‘wide geographic coverage, few traits’ data set and a ‘restricted coverage, many traits’ subset of 371 species for which 14 whole‐plant, flowering, seed and leaf traits (including leaf nitrogen content) were available. CSR strategy/environment relationships within biomes were investigated using fourth‐corner and RLQ analyses to determine strategy/climate specializations. Strong, significant concordance ( RV = 0·597; P < 0·0001) was evident between the 14 trait multivariate space and when only LA , LDMC and SLA were used. Biomes such as tropical moist broadleaf forests exhibited strategy convergence (i.e. clustered around a CS / CSR median; C:S:R = 43:42:15%), with CS ‐selection associated with warm, stable situations (lesser temperature seasonality), with greater annual precipitation and potential evapotranspiration. Other biomes were characterized by strategy divergence: for example, deserts varied between xeromorphic perennials such as Larrea divaricata, classified as S‐selected (C:S:R = 1:99:0%) and broadly R‐selected annual herbs (e.g. Claytonia perfoliata ; R/ CR ‐selected; C:S:R = 21:0:79%). Strategy convergence was evident for several growth habits (e.g. trees) but not others (forbs). The CSR strategies of vascular plants can now be compared quantitatively within and between biomes at the global scale. Through known linkages between underlying leaf traits and growth rates, herbivory and decomposition rates, this method and the strategy–environment relationships it elucidates will help to predict which kinds of species may assemble in response to changes in biogeochemical cycles, climate and land use.
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