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

被引：57
作者：
Landguth, Erin L. [1 ]
Bearlin, Andrew [2 ]
Day, Casey C. [3 ]
Dunham, Jason [4 ]
机构：
[1] Univ Montana, Div Biol Sci, 32 Campus Dr, Missoula, MT 59846 USA
[2] Seattle City Light, Environm Affairs Div, 700 5th Ave, Seattle, WA 98124 USA
[3] Purdue Univ, Dept Forestry & Nat Resources, 195 Marsteller St, W Lafayette, IN 47909 USA
[4] US Geol Survey, Forest & Rangeland Ecosyst Sci Ctr, 3200 SW Jefferson Way, Corvallis, OR 97330 USA
来源：
METHODS IN ECOLOGY AND EVOLUTION | 2017年 / 8卷 / 01期
关键词：
connectivity; dispersal; dynamic landscapes; gene flow; genotype-environment associations; growth rate; harvesting; landscape resistance; sampling; stream networks; BROOK TROUT; POPULATION-GENETICS; DENSITY-DEPENDENCE; DYNAMICS; CONSEQUENCES; CONSERVATION; EXTINCTION; SALMONIDS; PATTERNS; BARRIERS;
D O I：
10.1111/2041-210X.12608
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
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.
引用
收藏
页码：4 / 11
页数：8
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