CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes

被引：0
|
作者：
Erin L. Landguth
C. C. Muhlfeld
G. Luikart
机构：
[1] University of Montana,Division of Biological Sciences
[2] Northern Rocky Mountain Science Center,U.S. Geological Survey
[3] University of Montana,Division of Biological Sciences, Flathead Lake Biological Station
来源：
Conservation Genetics Resources | 2012年 / 4卷
关键词：
Stream resistance; Conservation biology; Freeware; Gene flow; Computer simulations; Stream networks; Dispersal; Connectivity; Habitat fragmentation; Climate change;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We introduce Cost Distance FISHeries (CDFISH), a simulator of population genetics and connectivity in complex riverscapes for a wide range of environmental scenarios of aquatic organisms. The spatially-explicit program implements individual-based genetic modeling with Mendelian inheritance and k-allele mutation on a riverscape with resistance to movement. The program simulates individuals in subpopulations through time employing user-defined functions of individual migration, reproduction, mortality, and dispersal through straying on a continuous resistance surface.
引用
收藏
页码：133 / 136
页数：3
相关论文
共 20 条
  • [1] CDFISH: an individual-based, spatially-explicit, landscape genetics simulator for aquatic species in complex riverscapes
    Landguth, Erin L.
    Muhlfeld, C. C.
    Luikart, G.
    CONSERVATION GENETICS RESOURCES, 2012, 4 (01) : 133 - 136
  • [2] 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.
    Kaszta, Zaneta
    LANDSCAPE ECOLOGY, 2022, 37 (12) : 3079 - 3102
  • [3] CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics
    Landguth, Erin L.
    Bearlin, Andrew
    Day, Casey C.
    Dunham, Jason
    METHODS IN ECOLOGY AND EVOLUTION, 2017, 8 (01): : 4 - 11
  • [4] A spatially-explicit, individual-based demogenetic simulation framework for evaluating hybridization dynamics
    Nathan, Lucas R.
    Mamoozadeh, Nadya
    Tumas, Hayley R.
    Gunselman, Samuel
    Klass, Keren
    Metcalfe, Anya
    Edge, Chris
    Waitsh, Lisette P.
    Spruell, Paul
    Lowery, Erin
    Connor, Ed
    Bearlin, Andrew R.
    Fortin, Marie-Josee
    Landguth, Erin
    ECOLOGICAL MODELLING, 2019, 401 : 40 - 51
  • [5] Combining graph theory and spatially-explicit, individual-based models to improve invasive species control strategies at a regional scale
    Drake, Joseph
    O'Malley, Grace
    Kraft, John
    Mims, Meryl C.
    LANDSCAPE ECOLOGY, 2024, 39 (11)
  • [6] Gap-crossing decisions by forest birds: an empirical basis for parameterizing spatially-explicit, individual-based models
    Marc Bélisle
    André Desrochers
    Landscape Ecology, 2002, 17 : 219 - 231
  • [7] Gap-crossing decisions by forest birds:: an empirical basis for parameterizing spatially-explicit, individual-based models
    Bélisle, M
    Desrochers, A
    LANDSCAPE ECOLOGY, 2002, 17 (03) : 219 - 231
  • [8] Performance of partial statistics in individual-based landscape genetics
    Kierepka, E. M.
    Latch, E. K.
    MOLECULAR ECOLOGY RESOURCES, 2015, 15 (03) : 512 - 525
  • [9] Maintaining tiger connectivity and minimizing extinction into the next century: Insights from landscape genetics and spatially-explicit simulations
    Thatte, Prachi
    Joshi, Aditya
    Vaidyanathan, Srinivas
    Landguth, Erin
    Ramakrishnan, Uma
    BIOLOGICAL CONSERVATION, 2018, 218 : 181 - 191
  • [10] 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
12