Web of Science: 6 citas, Scopus: 11 citas, Google Scholar: citas,
Predicting habitat affinities of plant species using commonly measured functional traits
Shipley, Bill (Université de Sherbrooke. Département de Biologie)
Belluau, Michael (Université de Sherbrooke. Département de Biologie)
Kühn, Ingolf (UFZ-Helmholtz Centre for Environmental Research. Department of Community Ecology)
Soudzilovskaia, Nadejda A. (Universiteit Leiden. Centrum voor Milieuwetenschappen)
Bahn, Michael (Universität Innsbruck. Institut für Ökologie)
Penuelas, Josep (Centre de Recerca Ecològica i Aplicacions Forestals)
Kattge, Jens (Max Planck Institute for Biogeochemistry)
Sack, Lawren (University of California. Department of Ecology and Evolutionary Biology)
Cavender-Bares, Jeannine (University of Minnesota. Department of Ecology, Evolution and Behavior)
Ozinga, Wim A. (Wageningen University. Team Vegetation, Forest and Landscape Ecology)
Blonder, Benjamin (University of Oxford. Environmental Change Institute)
Van Bodegom, Peter M. (Universiteit Leiden. Centrum voor Milieuwetenschappen)
Manning, Peter (Senckenberg Biodiversität und Klima Forschungszentrum (SBIK-F))
Hickler, Thomas (Senckenberg Biodiversität und Klima Forschungszentrum (SBIK-F))
Sosinski, Enio (Embrapa Clima Temperado)
De Patta Pillar, Valerio (Universidade Federal do Rio Grande do Sul. Departmento de Ecologia)
Onipchenko, Vladimir (Universität Regensburg)
Poschlod, Peter (Universität Regensburg)

Fecha: 2017
Resumen: Questions: Heinz Ellenberg classically defined “indicator” scores for species representing their typical positions along gradients of key environmental variables, and these have proven very useful for designating ecological distributions. We tested a key tenent of trait-based ecology, i. e. the ability to predict ecological preferences from species’ traits. More specifically, can we predict Ellenberg indicator scores for soil nutrients, soil moisture and irradiance from four well-studied traits: leaf area, leaf dry matter content, specific leaf area (SLA) and seed mass? Can we use such relationships to estimate Ellenberg scores for species never classified by Ellenberg? - Location: global. - Methods: cumulative link models were developed to predict Ellenberg nutrients, irradiance and moisture values from Ln-transformed trait values using 922, 981 and 988 species, respectively. We then independently tested these prediction equations using the trait values of 423 and 421 new species that occurred elsewere in Europe, North America and Morocco, and whose habitat affinities we could classify from independent sources as three-level ordinal ranks related to soil moisture and irradiance. The traits were SLA, leaf dry matter content, leaf area and seed mass. - Results: the four functional traits predicted the Ellenberg indicator scores of site fertility, light and moisture with average error rates of <2 Ellenberg ranks out of nine. We then used the trait values of 423 and 421 species, respectively, that occurred (mostly) outside of Germany but whose habitat affinities we could classify as three-level ordinal ranks related to soil moisture and irradiance. The predicted positions of the new species, given the equations derived from the Ellenberg indices, agreed well with their independent habitat classifications, although our equation for Ellenberg irrandiance levels performed poorly on the lower ranks. - Conclusions: these prediction equations, and their eventual extensions, could be used to provide approximate descriptions of habitat affinities of large numbers of species worldwide.
Nota: Altres ajuts: this research was partially funded by a Natural Sciences and Engineering Research Grant to BS. VO was supported by the Russian Science Foundation (#14-50-00029). The study has been supported by theTRY initiative on plant traits (http://www.try-db.org).The TRY initiative and database is hosted at the MaxPlanck Institute for Biogeochemistry, Jena, Germany.TRY is currently supported by DIVERSITAS/FutureEarth and the German Centre for Integrative Biodiver-sity Research (iDiv) Halle-Jena-Leipzig.
Derechos: Tots els drets reservats
Lengua: Anglès.
Documento: article ; recerca ; acceptedVersion
Materia: Environmental gradients ; Habitat affinities ; Habitat fertility ; Leaf dry matter content ; Leafsize ; Seed size ; Shade ; Specific leaf area ; Soil moisture ; Soil nutrients ; Understorey plants ; Wetlands
Publicado en: Journal of vegetation science, Vol. 28, issue 5 (Sep. 2017) , p. 1082-1095, ISSN 1100-9233

DOI: 10.1111/jvs.12554

Post-print. Article
32 p, 1.9 MB

Post-print. Material addicional
4 p, 1.1 MB

El registro aparece en las colecciones:
Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
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 Registro creado el 2017-09-19, última modificación el 2019-02-02

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