NDLI: Empirical validation of landscape resistance models: insights from the Greater Sage-Grouse (Centrocercus urophasianus)

Content Provider	Springer Nature Link
Author	Shirk, Andrew J. Schroeder, Michael A. Robb, Leslie A. Cushman, Samuel A.
Copyright Year	2015
Abstract	The ability of landscapes to impede species’ movement or gene flow may be quantified by resistance models. Few studies have assessed the performance of resistance models parameterized by expert opinion. In addition, resistance models differ in terms of spatial and thematic resolution as well as their focus on the ecology of a particular species or more generally on the degree of human modification of the landscape (i.e. landscape integrity). The effect of these design decisions on model accuracy is poorly understood.We sought to understand the influence of expert parameterization, resolution, and specificity (i.e. species-specific or landscape integrity) on the fit of resistance model predictions to empirical landscape patterns.With genetic and observational data collected from Greater Sage-Grouse (Centrocercus urophasianus) in Washington State, USA, we used landscape genetic analysis and logistic regression to evaluate a range of resistance models in terms of their ability to predict empirical patterns of genetic differentiation and lek occupancy.We found that species-specific, fine resolution resistance models generally had stronger relationships to empirical patterns than coarse resolution or landscape integrity models, and that the expert models were less predictive than alternative parameterizations.Our study offers an empirical framework to validate expert resistance models, suggests the need to match the grain of the data to the scale at which the species responds to landscape heterogeneity, and underscores the limitations of landscape integrity models when the species under study does not meet their assumptions.
Starting Page	1837
Ending Page	1850
Page Count	14
File Format	PDF
ISSN	09212973
Journal	Landscape Ecology
Volume Number	30
Issue Number	10
e-ISSN	15729761
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-05-15
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Centrocercus urophasianus Greater Sage-Grouse Landscape genetics Lek Resistance Validation Landscape Ecology Plant Ecology Forestry Management Forestry Ecology Plant Sciences
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Ecology Nature and Landscape Conservation

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