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

页码：4 / 11

页数：8

共 49 条

[1] CDMetaPOP 2: a multispecies, eco-evolutionary simulation framework for landscape demogenetics and connectivity
Day, Casey C.
Landguth, Erin L.
Simmons, Ryan K.
Bearlin, Andrew R.
ECOGRAPHY, 2023, 2023 (08)
[2] RangeShiftR: an R package for individual-based simulation of spatial eco-evolutionary dynamics and species' responses to environmental changes
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Bocedi, Greta
Palmer, Stephen C. F.
Travis, Justin M. J.
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ECOGRAPHY, 2021, 44 (10) : 1443 - 1452
[3] Individual-based eco-evolutionary models for understanding adaptation in changing seas
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Xue, Huijie
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PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2021, 288 (1962)
[4] Tigers on the edge: mortality and landscape change dominate individual-based spatially-explicit simulations of a small tiger population
Ash, Eric
Cushman, Samuel A.
Redford, Tim
Macdonald, David W.
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LANDSCAPE ECOLOGY, 2022, 37 (12) : 3079 - 3102
[5] CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes
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Muhlfeld, C. C.
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CONSERVATION GENETICS RESOURCES, 2012, 4 (01) : 133 - 136
[6] CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes
Erin L. Landguth
C. C. Muhlfeld
G. Luikart
Conservation Genetics Resources, 2012, 4 : 133 - 136
[7] Individual-based modeling of eco-evolutionary dynamics: state of the art and future directions
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Tiedemann, Ralph
REGIONAL ENVIRONMENTAL CHANGE, 2019, 19 (01) : 1 - 12
[8] Modelling multilocus selection in an individual-based, spatially-explicit landscape genetics framework
Landguth, Erin L.
Forester, Brenna R.
Eckert, Andrew J.
Shirk, Andrew J.
Menon, Mitra
Whipple, Amy
Day, Casey C.
Cushman, Samuel A.
MOLECULAR ECOLOGY RESOURCES, 2020, 20 (02) : 605 - 615
[9] The evolution of dispersal in a metapopulation: a spatially explicit, individual-based model
Travis, JMJ
Dytham, C
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1998, 265 (1390) : 17 - 23
[10] Error propagation in an integrated spatially-explicit individual-based model
Koralewski, Tomasz E.
Wang, Hsiao-Hsuan
Grant, William E.
Brewer, Michael J.
Elliott, Norman C.
ECOLOGICAL MODELLING, 2023, 475

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