Please use this identifier to cite or link to this item:
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Evaluating the ecological realism of plant species distribution models with ecological indicator values
Authors : Hellegers, M.
Ozinga, W.A.
van Hinsberg, A.
Huijbregts, M.A.J.
Hennekens, S.M.
Schaminée, J.H.J.
Dengler, Jürgen
Schipper, A.M.
et. al : No
DOI : 10.1111/ecog.04291
Published in : Ecography
Volume(Issue) : 43
Issue : 1
Pages : 161
Pages to: 170
Issue Date: 2020
Publisher / Ed. Institution : Wiley
ISSN: 1600-0587
Language : English
Subjects : Ecological indicator values; Species distribution model
Subject (DDC) : 333.7: Land, recreational areas and energy
Abstract: Species distribution models (SDMs) are routinely applied to assess current as well as future species distributions, for example to assess impacts of future environmental change on biodiversity or to underpin conservation planning. It has been repeatedly emphasized that SDMs should be evaluated based not only on their goodness of fit to the data, but also on the realism of the modelled ecological responses. However, possibilities for the latter are hampered by limited knowledge on the true responses as well as a lack of quantitative evaluation methods. Here we compared modelled niche optima obtained from European-scale SDMs of 1,476 terrestrial vascular plant species with empirical ecological indicator values indicating the preferences of plant species for key environmental conditions. For each plant species we first fitted an ensemble SDM including three modeling techniques (GLM, GAM and BRT) and extracted niche optima for climate, soil, land use and nitrogen deposition variables with a large explanatory power for the occurrence of that species. We then compared these SDM-derived niche optima with the ecological indicator values by means of bivariate correlation analysis. We found weak to moderate correlations in the expected direction between the SDM-derived niche optima and ecological indicator values. The strongest correlation occurred between the modelled optima for growing degree days and the ecological indicator values for temperature. Correlations were weaker for SDM-derived niche optima with a more distal relationship to ecological indicator values (notably precipitation and soil moisture). Further, correlations were consistently highest for BRT, followed by GLM and GAM. Our method gives insight into the ecological realism of modelled niche optima and projected core habitats and can be used to improve SDMs by making a more informed selection of environmental variables and modeling techniques.
Fulltext version : Published version
License (according to publishing contract) : CC BY 3.0: Attribution 3.0 Unported
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Appears in Collections:Publikationen Life Sciences und Facility Management

Files in This Item:
File Description SizeFormat 
Hellegers_et_al-2020-Ecography.pdf1.74 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.