Spatiotemporal landscape genetics: Investigating ecology and evolution through space and time

Genetic time‐series data from historical samples greatly facilitate inference of past population dynamics and species evolution. Yet, although climate and landscape change are often touted as post‐hoc explanations of biological change, our understanding of past climate and landscape change influence...

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Bibliographic Details
Published in:Molecular ecology 2020-01, Vol.29 (2), p.218-246
Main Authors: Fenderson, Lindsey E., Kovach, Adrienne I., Llamas, Bastien
Format: Article
Language:English
Subjects:
ancient DNA
Anthropogenic factors
Biological evolution
Climate Change
Conservation genetics
Demography
Deoxyribonucleic acid
DNA
ecological genetics
Ecological monitoring
Ecology
Environmental changes
Evolution
Genetic analysis
Genetic structure
Genetics
Genetics, Population
genome–environment association
genotype–environment correlation
Human influences
Landscape
Landscape ecology
Landscape preservation
Metapopulations
Phylogeography
Population Dynamics
Population genetics
spatiotemporal population dynamics
Species
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Summary:Genetic time‐series data from historical samples greatly facilitate inference of past population dynamics and species evolution. Yet, although climate and landscape change are often touted as post‐hoc explanations of biological change, our understanding of past climate and landscape change influences on evolutionary processes is severely hindered by the limited application of methods that directly relate environmental change to species dynamics through time. Increased integration of spatiotemporal environmental and genetic data will revolutionize the interpretation of environmental influences on past population processes and the quantification of recent anthropogenic impacts on species, and vastly improve prediction of species responses under future climate change scenarios, yielding widespread revelations across evolutionary biology, landscape ecology and conservation genetics. This review encourages greater use of spatiotemporal landscape genetic analyses that explicitly link landscape, climate and genetic data through time by providing an overview of analytical approaches for integrating historical genetic and environmental data in five key research areas: population genetic structure, demography, phylogeography, metapopulation connectivity and adaptation. We also include a tabular summary of key methodological information, suggest approaches for mitigating the particular difficulties in applying these techniques to ancient DNA and palaeoclimate data, and highlight areas for future methodological development.
ISSN:0962-1083
1365-294X
DOI:10.1111/mec.15315