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dc.contributor.authorKambach, Stephan
dc.contributor.authorSabatini, Francesco Maria
dc.contributor.authorAttorre, Fabio
dc.contributor.authorBiurrun Galarraga, Miren Idoia ORCID
dc.contributor.authorBoenisch, Gerhard
dc.contributor.authorBonari, Gianmaria
dc.contributor.authorČarni, Andraž
dc.contributor.authorCarranza, María Laura
dc.contributor.authorChiarucci, Alessandro
dc.contributor.authorChytrý, Milan
dc.contributor.authorDengler, Jürgen
dc.contributor.authorGarbolino, Emmanuel
dc.contributor.authorGolub, Valentin
dc.contributor.authorGüler, Behlül
dc.contributor.authorJandt, Ute
dc.contributor.authorJansen, Jan
dc.contributor.authorJašková, Anni
dc.contributor.authorJiménez Alfaro, Borja
dc.contributor.authorKarger, Dirk Nikolaus
dc.contributor.authorKattge, Jens
dc.contributor.authorKnollová, Ilona
dc.contributor.authorMidolo, Gabriele
dc.contributor.authorMoeslund, Jesper Erenskjold
dc.contributor.authorPielech, Remigiusz
dc.contributor.authorRašomavičius, Valerijus
dc.contributor.authorRūsiņa, Solvita
dc.contributor.authorŠibík, Jozef
dc.contributor.authorStančić, Zvjezdana
dc.contributor.authorStanisci, Angela
dc.contributor.authorSvenning, Jens-Christian
dc.contributor.authorYamalov, Sergey
dc.contributor.authorZimmermann, Niklaus E.
dc.contributor.authorBruelheide, Helge
dc.date.accessioned2023-02-20T17:43:29Z
dc.date.available2023-02-20T17:43:29Z
dc.date.issued2023
dc.identifier.citationNature Communications 14(1) : (2023) // Article ID 712es_ES
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/10810/59982
dc.description.abstractEcological theory predicts close relationships between macroclimate and functional traits. Yet, global climatic gradients correlate only weakly with the trait composition of local plant communities, suggesting that important factors have been ignored. Here, we investigate the consistency of climate-trait relationships for plant communities in European habitats. Assuming that local factors are better accounted for in more narrowly defined habitats, we assigned>300,000 vegetation plots to hierarchically classified habitats and modelled the effects of climate on the community-weighted means of four key functional traits using generalized additive models. We found that the predictive power of climate increased from broadly to narrowly defined habitats for specific leaf area and root length, but not for plant height and seed mass. Although macroclimate generally predicted the distribution of all traits, its effects varied, with habitat-specificity increasing toward more narrowly defined habitats. We conclude that macroclimate is an important determinant of terrestrial plant communities, but future predictions of climatic effects must consider how habitats are defined.es_ES
dc.description.sponsorshipThe 2019-2020 BiodivERsA joint call for research proposals, under the BiodivClim ERA-Net COFUND program, and with the funding organisations Swiss National Science Foundation SNF (project: FeedBaCks, 193907), Agence nationale de la recherche (ANR-20-EBI5-0001-05), the German Research Foundation (DFG BR 1698/21-1, DFG HI 1538/16-1), and the Technology Agency of the Czech Republic (SS70010002) funded this research and the position of S.K. and G.M. The Basque Government (IT1487-22) supported the work of I.B. The Slovenian Research Agency (ARRS P1-0236) supported the work of A.Č. The University of Latvia (grant nr. AAP2016/B041//Zd2016/AZ03) supported the work of S.R. Financial support within the Rita-Levi Montalcini (2019) programme, funded by the Italian Ministry of University, supported the work of F.M.S. The Slovak Research and Development Agency (grant nr. APVV 16-0431) supported the work of J.Š. The VILLUM FONDEN (grant 16549) funded the VILLUM Investigator project “Biodiversity Dynamics in a Changing World” which supported the work of J.C.S. J.C.S. also considers this work a contribution to Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by Danish National Research Foundation (grant DNRF173). S.K. acknowledges financial support from the Open Access Publication Fund of the Martin Luther University Halle-Wittenberg and the iDiv Open Science Publication Fund. Open Access funding enabled and organized by Projekt DEAL.es_ES
dc.language.isoenges_ES
dc.publisherNaturees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleClimate-trait relationships exhibit strong habitat specificity in plant communities across Europees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.nature.com/articles/s41467-023-36240-6es_ES
dc.identifier.doi10.1038/s41467-023-36240-6
dc.departamentoesBiología vegetal y ecologíaes_ES
dc.departamentoeuLandaren biologia eta ekologiaes_ES


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© The Author(s) 2023. This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as
long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons license, and indicate if
changes were made. The images or other third party material in this
article are included in the article’s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not
included in the article’s Creative Commons license and your intended
use is not permitted by statutory regulation or exceeds the permitted
use, you will need to obtain permission directly from the copyright
holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/.
Except where otherwise noted, this item's license is described as © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.