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.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Scherrer D,Guisan Adoi
10.1038/s41598-019-39133-1subject
Has Abstractpub_date
2019-02-28 00:00:00pages
3061issue
1issn
2045-2322pii
10.1038/s41598-019-39133-1journal_volume
9pub_type
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