A comparative framework to infer landscape effects on population genetic structure: Are habitat suitability models effective in explaining gene flow?

Maria C. Mateo-Sanchez; Niko Balkenhol; Samuel A. Cushman; Trinidad Perez; Ana Dominguez; Santiago Saura

doi:10.1007/s10980-015-0194-4

Treesearch

A comparative framework to infer landscape effects on population genetic structure: Are habitat suitability models effective in explaining gene flow?

Formally Refereed

Authors:

Maria C. Mateo-Sanchez, Niko Balkenhol, Samuel A. Cushman, Trinidad Perez, Ana Dominguez, Santiago Saura

Year:

2015

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1007/s10980-015-0194-4

Source:

Landscape Ecology. 30: 1405-1420.

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Abstract

Most current methods to assess connectivity begin with landscape resistance maps. The prevailing resistance models are commonly based on expert opinion and, more recently, on a direct transformation of habitat suitability. However, habitat associations are not necessarily accurate indicators of dispersal, and thus may fail as a surrogate of resistance to movement. Genetic data can provide valuable insights in this respect.

Keywords

gene flow, habitat suitability, landscape resistance, species movement, landscape genetics, brown bear

Citation

Mateo-Sanchez, Maria C.; Balkenhol, Niko; Cushman, Samuel; Perez, Trinidad; Dominguez, Ana; Saura, Santiago. 2015. A comparative framework to infer landscape effects on population genetic structure: Are habitat suitability models effective in explaining gene flow? Landscape Ecology. 30: 1405-1420.