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 50 条
  • [21] Performance of partial statistics in individual-based landscape genetics
    Kierepka, E. M.
    Latch, E. K.
    MOLECULAR ECOLOGY RESOURCES, 2015, 15 (03) : 512 - 525
  • [22] A novel dispersal algorithm in individual-based, spatially-explicit Population Viability Analysis: A new role for genetic measures in model testing?
    Lethbridge, Mark R.
    Strauss, Jessica C.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2015, 68 : 83 - 97
  • [23] Spatially explicit individual-based modeling using a fixed super-individual density
    Hellweger, Ferdi L.
    COMPUTERS & GEOSCIENCES, 2008, 34 (02) : 144 - 152
  • [24] A comparison of individual-based genetic distance metrics for landscape genetics
    Shirk, A. J.
    Landguth, E. L.
    Cushman, S. A.
    MOLECULAR ECOLOGY RESOURCES, 2017, 17 (06) : 1308 - 1317
  • [25] 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
  • [26] ECOLECON: a spatially-explicit model for ecological economics of species conservation in complex forest landscapes
    Liu, J.
    NCASI Technical Bulletin, 1999, (781 I):
  • [27] Coupled map lattice approximations for spatially explicit individual-based models of ecology
    Brännström, Å
    Sumpter, DJT
    BULLETIN OF MATHEMATICAL BIOLOGY, 2005, 67 (04) : 663 - 682
  • [28] Coupled map lattice approximations for spatially explicit individual-based models of ecology
    Å. Brännström
    D. J. T. Sumpter
    Bulletin of Mathematical Biology, 2005, 67 : 663 - 682
  • [29] Development and validation of a spatially explicit individual-based mixed crop growth model
    García-Barrios, L
    Mayer-Foulkes, D
    Franco, M
    Urquijo-Vásquez, G
    Franco-Pérez, J
    BULLETIN OF MATHEMATICAL BIOLOGY, 2001, 63 (03) : 507 - 526
  • [30] Development and validation of a spatially explicit individual-based mixed crop growth model
    Luis García-Barrios
    David Mayer-Foulkes
    Miguel Franco
    Guillermo Urquijo-Vásquez
    Juan Franco-Pérez
    Bulletin of Mathematical Biology, 2001, 63 : 507 - 526
12345