Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/133323
Title: Modelling the distribution and compositional variation of plant communities at the continental scale
Author: Jiménez-Alfaro, Borja
Suárez-Seoane, Susana
Chytrý, Milan
Hennekens, Stephan.M.
Willner, Wolfgang
Hájek, Michal
Agrillo, Emiliano
Álvarez-Martínez, Jose M.
Bergamini, Ariel
Brisse, Henry
Brunet, Jörg
Casella, Laura
Díte, Daniel
Font i Castell, Xavier
Gillet, François
Hájková, Petra
Jansen, Florian
Jandt, Ute
Kacki, ZZygmunt
Lenoir, Jnoathan
Rodwell, John S.
Schaminée, J.H.J.
Sekulová, Lucia
Sibík, Jozef
Skvorc, Zeljko
Tsiripidis, IIoannis
Keywords: Varietats de plantes
Plant varieties
Issue Date: Jul-2018
Publisher: John Wiley & Sons
Abstract: Aim We investigate whether (1) environmental predictors allow to delineate the distribution of discrete community types at the continental scale and (2) how data completeness influences model generalization in relation to the compositional variation of the modelled entities. Location Europe. Methods We used comprehensive datasets of two community types of conservation concern in Europe: acidophilous beech forests and base‐rich fens. We computed community distribution models (CDMs) calibrated with environmental predictors to predict the occurrence of both community types, evaluating geographical transferability, interpolation and extrapolation under different scenarios of sampling bias. We used generalized dissimilarity modelling (GDM) to assess the role of geographical and environmental drivers in compositional variation within the predicted distributions. Results For the two community types, CDMs computed for the whole study area provided good performance when evaluated by random cross‐validation and external validation. Geographical transferability provided lower but relatively good performance, while model extrapolation performed poorly when compared with interpolation. Generalized dissimilarity modelling showed a predominant effect of geographical distance on compositional variation, complemented with the environmental predictors that also influenced habitat suitability. Main conclusions Correlative approaches typically used for modelling the distribution of individual species are also useful for delineating the potential area of occupancy of community types at the continental scale, when using consistent definitions of the modelled entity and high data completeness. The combination of CDMs with GDM further improves the understanding of diversity patterns of plant communities, providing spatially explicit information for mapping vegetation diversity and related habitat types at large scales.
Note: Reproducció del document publicat a: https://doi.org/10.1111/ddi.12736
It is part of: Diversity and Distributions, 2018, vol. 24, num. 7, p. 978-990
URI: http://hdl.handle.net/2445/133323
Related resource: https://doi.org/10.1111/ddi.12736
ISSN: 1366-9516
Appears in Collections:Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)
Articles publicats en revistes (Institut de Recerca de la Biodiversitat (IRBio))

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