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 Hajkova, 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)) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
679470.pdf | 828.89 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.