CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics

Erin L. Landguth; Andrew Bearlin; Casey C. Day; Jason Dunham

doi:10.1111/2041-210X.12608

CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics

Erin L. Landguth, Andrew Bearlin, Casey C. Day, Jason Dunham

Public and Community Health Sciences

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

Abstract

Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.

Original language	English
Pages (from-to)	4-11
Number of pages	8
Journal	Methods in Ecology and Evolution
Volume	8
Issue number	1
DOIs	https://doi.org/10.1111/2041-210X.12608
State	Published - Jan 1 2017

Keywords

connectivity
dispersal
dynamic landscapes
gene flow
genotype-environment associations
growth rate
harvesting
landscape resistance
sampling
stream networks

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10.1111/2041-210X.12608

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title = "CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics",

abstract = "Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.",

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author = "Landguth, {Erin L.} and Andrew Bearlin and Day, {Casey C.} and Jason Dunham",

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AU - Bearlin, Andrew

AU - Day, Casey C.

AU - Dunham, Jason

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AB - Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.

KW - connectivity

KW - dispersal

KW - dynamic landscapes

KW - gene flow

KW - genotype-environment associations

KW - growth rate

KW - harvesting

KW - landscape resistance

KW - sampling

KW - stream networks

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JO - Methods in Ecology and Evolution

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ER -

CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics

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Keywords

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