Improving forecasts of arctic-alpine refugia persistence with landscape-scale variables

Details

Serval ID
serval:BIB_DD99ABC2D57E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Improving forecasts of arctic-alpine refugia persistence with landscape-scale variables
Journal
Geografiska Annaler: Series A, Physical Geography
Author(s)
Niskanen A. K. J., Heikkinen R.K., Mod H.K., Väre H., Luoto M.
ISSN
1468-0459
ISSN-L
0435-3676
Publication state
Published
Issued date
02/01/2017
Peer-reviewed
Oui
Volume
99
Number
1
Pages
2-14
Language
english
Abstract
Refugia, the sites preserving conditions reminiscent of suitable climates, are projected to be crucial for species in a changing climate, particularly at high latitudes. However, the knowledge of current locations of high-latitude refugia and particularly their ability to retain suitable conditions under future climatic changes is limited. Occurrences of refugia have previously been mainly assessed and modelled based solely on climatic features, with insufficient attention being paid to potentially important landscape-scale factors. Here, climate-only models and full' models incorporating topo-edaphic landscape-scale variables (radiation, soil moisture and calcareousness) were developed and compared for 111 arctic-alpine plant species in Northern Fennoscandia. This was done for both current and future climates to determine cells with resilient climatic suitability harbouring refugia. Our results show that topographic and edaphic landscape-scale predictors both significantly improve models of arctic-alpine species distributions and alter projections of refugia occurrence. The predictions of species-climate models ignore landscape-scale ecological processes and may thus provide inaccurate estimates of extinction risk and forecasts of refugia where species can persist under a changing climate.
Keywords
Climate change, refugia, landscape-scale factor
Web of science
Create date
02/08/2017 16:42
Last modification date
20/08/2019 17:02
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