Document Detail


Infusing considerations of trophic dependencies into species distribution modelling.
MedLine Citation:
PMID:  25250672     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Community ecology involves studying the interdependence of species with each other and their environment to predict their geographical distribution and abundance. Modern species distribution analyses characterise species-environment dependency well, but offer only crude approximations of species interdependency. Typically, the dependency between focal species and other species is characterised using other species' point occurrences as spatial covariates to constrain the focal species' predicted range. This implicitly assumes that the strength of interdependency is homogeneous across space, which is not generally supported by analyses of species interactions. This discrepancy has an important bearing on the accuracy of inferences about habitat suitability for species. We introduce a framework that integrates principles from consumer-resource analyses, resource selection theory and species distribution modelling to enhance quantitative prediction of species geographical distributions. We show how to apply the framework using a case study of lynx and snowshoe hare interactions with each other and their environment. The analysis shows how the framework offers a spatially refined understanding of species distribution that is sensitive to nuances in biophysical attributes of the environment that determine the location and strength of species interactions.
Authors:
Anne M Trainor; Oswald J Schmitz
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-9-23
Journal Detail:
Title:  Ecology letters     Volume:  -     ISSN:  1461-0248     ISO Abbreviation:  Ecol. Lett.     Publication Date:  2014 Sep 
Date Detail:
Created Date:  2014-9-24     Completed Date:  -     Revised Date:  2014-9-25    
Medline Journal Info:
Nlm Unique ID:  101121949     Medline TA:  Ecol Lett     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2014 John Wiley & Sons Ltd/CNRS.
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