Beyond the snapshot: Landscape genetic analysis of time series data reveal responses of American black bears to landscape change

Evolutionary Applications
Hope M DraheimKim T Scribner

Abstract

Landscape genetic studies typically focus on the evolutionary processes that give rise to spatial patterns that are quantified at a single point in time. Although landscape change is widely recognized as a strong driver of microevolutionary processes, few landscape genetic studies have directly evaluated the change in spatial genetic structure (SGS) over time with concurrent changes in landscape pattern. We introduce a novel approach to analyze landscape genetic data through time. We demonstrate this approach using genotyped samples (n = 569) from a large black bear (Ursus americanus) population in Michigan (USA) that were harvested during 3 years (2002, 2006, and 2010). We identified areas that were consistently occupied over this 9-year period and quantified temporal variation in SGS. Then, we evaluated alternative hypotheses about effects of changes in landscape features (e.g., deforestation or crop conversion) on fine-scale SGS among years using spatial autoregressive modeling and model selection. Relative measures of landscape change such as magnitude of landscape change (i.e., number of patches changing from suitable to unsuitable states or vice versa), and during later periods, measures of fragmentation (i.e., patch aggr...Continue Reading

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Citations

Nov 24, 2019·Molecular Ecology·Lindsey E FendersonBastien Llamas
Mar 16, 2021·Evolutionary Anthropology·Darice WestphalAndrea L Baden

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Methods Mentioned

BETA
PCR
electrophoresis
genotyping

Software Mentioned

GenAlEx
ArcGIS
Genetic Landscapes Toolbox
MICRO
SAGA
CIRCUITSCAPE
Spatial Analyst
GENEPOP
CCAP
FSTAT

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