Ecological indicator values reveal missing predictors of species distributions.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_5D0A0FE306F0
Type
Article: article from journal or magazin.
Collection
Publications
Title
Ecological indicator values reveal missing predictors of species distributions.
Journal
Scientific reports
Author(s)
Scherrer D., Guisan A.
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Publication state
Published
Issued date
28/02/2019
Peer-reviewed
Oui
Volume
9
Number
1
Pages
3061
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
The questions of how much abiotic environment contributes to explain species distributions, and which abiotic factors are the most influential, are key when projecting species realized niches in space and time. Here, we show that answers to these questions can be obtained by using species' ecological indicator values (EIVs). By calculating community averages of plant EIVs (397 plant species and 3988 vegetation plots), we found that substituting mapped environmental predictors with site EIVs led to a doubling of explained variation (22.5% to 44%). EIVs representing light and soil showed the highest model improvement, while EIVs representing temperature did not explain additional variance, suggesting that current temperature maps are already fairly accurate. Therefore, although temperature is frequently reported as having a dominant effect on species distributions over other factors, our results suggest that this might primarily result from limitations in our capacity to map other key environmental factors, such as light and soil properties, over large areas.
Pubmed
Web of science
Open Access
Yes
Create date
17/01/2019 18:58
Last modification date
20/08/2019 15:15
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