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Biotic interactions boost spatial models of species richness
Responsible organisation
2015 (English)In: Ecography, ISSN 0906-7590, E-ISSN 1600-0587, Vol. 38, no 9, 913-921 p.Article in journal (Refereed) Published
Abstract [en]

Biotic interactions are known to affect the composition of species assemblages via several mechanisms, such as competition and facilitation. However, most spatial models of species richness do not explicitly consider inter-specific interactions. Here, we test whether incorporating biotic interactions into high-resolution models alters predictions of species richness as hypothesised. We included key biotic variables (cover of three dominant arctic-alpine plant species) into two methodologically divergent species richness modelling frameworks – stacked species distribution models (SSDM) and macroecological models (MEM) – for three ecologically and evolutionary distinct taxonomic groups (vascular plants, bryophytes and lichens). Predictions from models including biotic interactions were compared to the predictions of models based on climatic and abiotic data only. Including plant–plant interactions consistently and significantly lowered bias in species richness predictions and increased predictive power for independent evaluation data when compared to the conventional climatic and abiotic data based models. Improvements in predictions were constant irrespective of the modelling framework or taxonomic group used. The global biodiversity crisis necessitates accurate predictions of how changes in biotic and abiotic conditions will potentially affect species richness patterns. Here, we demonstrate that models of the spatial distribution of species richness can be improved by incorporating biotic interactions, and thus that these key predictor factors must be accounted for in biodiversity forecasts.

Place, publisher, year, edition, pages
Blackwell Publishing Ltd , 2015. Vol. 38, no 9, 913-921 p.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:polar:diva-3570DOI: 10.1111/ecog.01129OAI: oai:DiVA.org:polar-3570DiVA: diva2:1096941
Available from: 2017-05-19 Created: 2017-05-19 Last updated: 2017-05-19

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Publisher's full texthttp://dx.doi.org/10.1111/ecog.01129
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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