CDMetaPOP: an individual‐based, eco‐evolutionary model for spatially explicit simulation of landscape demogenetics. Issue 1 (16th July 2016)

• Record Type: Journal Article
• Authors: Landguth, Erin L.; Bearlin, Andrew; Day, Casey C.; Dunham, Jason
• Editors: Travis, Justin
• Is Part Of: Methods in ecology and evolution. Volume 8:Issue 1(2017)
• Page Start: 4
• Page End: 11
• Publication Date: 2016-07-16
• Subjects: connectivity -- dispersal -- dynamic landscapes -- gene flow -- genotype‐environment associations -- growth rate -- harvesting -- landscape resistance -- sampling -- stream networks; Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.12608
• Languages: English
• ISSNs: 2041-210X

Abstract

Summary: 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.