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

School of Public and Community Health Sciences

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

64 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

Funding

We thank Helen Neville, Dan Dauwalter, Seth Wenger, Robin Bjork, Harry Rich and Al Solonsky for fruitful discussions during model development. We thank the class members of FNR 691 from Purdue University and five anonymous reviewers for helpful manuscript comments. We thank Zack Holden for temperature data analysis contributions, for example, applications. We thank Lucas Nathan, Marco Alejandro Escalante, Paul Mayrand, Julian Whittische, and the 2014 and 2016 Distributed Graduate Seminar in Landscape Genetics group projects teams for beta testing. Funding for this research comes from Seattle City Light and NASA grant NNX14AC91G. Any use of trade, product or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Funders	Funder number
Seattle City Light
National Aeronautics and Space Administration	NNX14AC91G
Purdue University

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

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Keywords

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