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A global method for calculating plant CSR ecological strategies applied across biomes world-wide

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dc.contributor.author Pierce, Simon en
dc.contributor.author Negreiros, Daniel en
dc.contributor.author Cerabolini, Bruno E. L. en
dc.contributor.author Kattge, Jens en
dc.contributor.author Diaz, Sandra en
dc.contributor.author Kleyer, Michael en
dc.contributor.author Shipley, Bill en
dc.contributor.author Wright, S. Joseph en
dc.contributor.author Soudzilovskaia, Nadejda A. en
dc.contributor.author Onipchenko, Vladimir G. en
dc.contributor.author van Bodegom, Peter M. en
dc.contributor.author Frenette-Dussault, Cedric en
dc.contributor.author Weiher, Evan en
dc.contributor.author Pinho, Bruno X. en
dc.contributor.author Cornelissen, Johannes H. C. en
dc.contributor.author Grime, John Philip en
dc.contributor.author Thompson, Ken en
dc.contributor.author Hunt, Roderick en
dc.contributor.author Wilson, Peter J. en
dc.contributor.author Buffa, Gabriella en
dc.contributor.author Nyakunga, Oliver C. en
dc.contributor.author Reich, Peter B. en
dc.contributor.author Caccianiga, Marco en
dc.contributor.author Mangili, Federico en
dc.contributor.author Ceriani, Roberta M. en
dc.contributor.author Luzzaro, Alessandra en
dc.contributor.author Brusa, Guido en
dc.contributor.author Siefert, Andrew en
dc.contributor.author Barbosa, Newton P. U. en
dc.contributor.author Chapin,Francis Stuart,,III en
dc.contributor.author Cornwell, William K. en
dc.contributor.author Fang, Jingyun en
dc.contributor.author Fernandes, Geraldo Wilson en
dc.contributor.author Garnier, Eric en
dc.contributor.author Le Stradic, Soizig en
dc.contributor.author Penuelas, Josep en
dc.contributor.author Melo, Felipe P. L. en
dc.contributor.author Slaviero, Antonio en
dc.contributor.author Tabarelli, Marcelo en
dc.contributor.author Tampucci, Duccio en
dc.date.accessioned 2017-04-25T12:30:28Z
dc.date.available 2017-04-25T12:30:28Z
dc.date.issued 2017
dc.identifier.citation Pierce, Simon, Negreiros, Daniel, Cerabolini, Bruno E. L., Kattge, Jens, Diaz, Sandra, Kleyer, Michael, Shipley, Bill, Wright, S. Joseph, Soudzilovskaia, Nadejda A., Onipchenko, Vladimir G., van Bodegom, Peter M., Frenette-Dussault, Cedric, Weiher, Evan, Pinho, Bruno X., Cornelissen, Johannes H. C., Grime, John Philip, Thompson, Ken, Hunt, Roderick, Wilson, Peter J., Buffa, Gabriella, Nyakunga, Oliver C., Reich, Peter B., Caccianiga, Marco, Mangili, Federico, Ceriani, Roberta M. et al. 2017. "<a href="https%3A%2F%2Frepository.si.edu%2Fhandle%2F10088%2F32117">A global method for calculating plant CSR ecological strategies applied across biomes world-wide</a>." <em>Functional Ecology</em>. 31 (2):444&ndash;457. <a href="https://doi.org/10.1111/1365-2435.12722">https://doi.org/10.1111/1365-2435.12722</a> en
dc.identifier.issn 0269-8463
dc.identifier.uri https://hdl.handle.net/10088/32117
dc.description.abstract 1. 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&#39;s diversity. 2. 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. 3. Due to disparity in trait availability globally, co-inertia analysis was used to check correspondence between a &#39;wide geographic coverage, few traits&#39; data set and a &#39;restricted coverage, many traits&#39; 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. 4. Strong, significant concordance (RV = 0.597; P &lt; 0.0001) was evident between the 14 trait multivariate space and when only LA, LDMC and SLA were used. 5. 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). 6. 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. en
dc.relation.ispartof Functional Ecology en
dc.title A global method for calculating plant CSR ecological strategies applied across biomes world-wide en
dc.type Journal Article en
dc.identifier.srbnumber 142190
dc.identifier.doi 10.1111/1365-2435.12722
rft.jtitle Functional Ecology
rft.volume 31
rft.issue 2
rft.spage 444
rft.epage 457
dc.description.SIUnit Peer-reviewed en
dc.description.SIUnit STRI en
dc.citation.spage 444
dc.citation.epage 457

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