博文
Utility of computer simulations in landscape genetics
||||
文章提出了landscape genetics研究中，应做的计算机模拟检验的内容。我觉得自己可以在这方面做点工作。基于R开发一些实用的函数。
http://www3.interscience.wiley.com/cgi-bin/fulltext/123576406/PDFSTART
Abstract
Population genetics theory is primarily based on mathematical models in which spatial
complexity and temporal variability are largely ignored. In contrast, the field of
landscape genetics expressly focuses on how population genetic processes are affected by
complex spatial and temporal environmental heterogeneity. It is spatially explicit and
relates patterns to processes by combining complex and realistic life histories,
behaviours, landscape features and genetic data. Central to landscape genetics is the
connection of spatial patterns of genetic variation to the usually highly stochastic space–
time processes that create them over both historical and contemporary time periods. The
field should benefit from a shift to computer simulation approaches, which enable
incorporation of demographic and environmental stochasticity. A key role of simulations
is to show how demographic processes such as dispersal or reproduction interact with
landscape features to affect probability of site occupancy, population size, and gene flow,
which in turn determine spatial genetic structure. Simulations could also be used to
compare various statistical methods and determine which have correct type I error or the
highest statistical power to correctly identify spatio-temporal and environmental effects.
Simulations may also help in evaluating how specific spatial metrics may be used to
project future genetic trends. This article summarizes some of the fundamental aspects of
spatial–temporal population genetic processes. It discusses the potential use of simulations
to determine how various spatial metrics can be rigorously employed to identify
features of interest, including contrasting locus-specific spatial patterns due to microscale
environmental selection.
Keywords: individual-based models, landscape ecology, population genetics, simulations,
spatial statistics
https://m.sciencenet.cn/blog-352360-344257.html
下一篇：一个跨平台的文献管理软件－mendeley，免费的
http://www3.interscience.wiley.com/cgi-bin/fulltext/123576406/PDFSTART
Abstract
Population genetics theory is primarily based on mathematical models in which spatial
complexity and temporal variability are largely ignored. In contrast, the field of
landscape genetics expressly focuses on how population genetic processes are affected by
complex spatial and temporal environmental heterogeneity. It is spatially explicit and
relates patterns to processes by combining complex and realistic life histories,
behaviours, landscape features and genetic data. Central to landscape genetics is the
connection of spatial patterns of genetic variation to the usually highly stochastic space–
time processes that create them over both historical and contemporary time periods. The
field should benefit from a shift to computer simulation approaches, which enable
incorporation of demographic and environmental stochasticity. A key role of simulations
is to show how demographic processes such as dispersal or reproduction interact with
landscape features to affect probability of site occupancy, population size, and gene flow,
which in turn determine spatial genetic structure. Simulations could also be used to
compare various statistical methods and determine which have correct type I error or the
highest statistical power to correctly identify spatio-temporal and environmental effects.
Simulations may also help in evaluating how specific spatial metrics may be used to
project future genetic trends. This article summarizes some of the fundamental aspects of
spatial–temporal population genetic processes. It discusses the potential use of simulations
to determine how various spatial metrics can be rigorously employed to identify
features of interest, including contrasting locus-specific spatial patterns due to microscale
environmental selection.
Keywords: individual-based models, landscape ecology, population genetics, simulations,
spatial statistics
https://m.sciencenet.cn/blog-352360-344257.html
下一篇：一个跨平台的文献管理软件－mendeley，免费的
