Exploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers
dc.contributor.author | Lacey Knowles, L. | en_US |
dc.contributor.author | Alvarado-Serrano, Diego F. | en_US |
dc.date.accessioned | 2011-01-31T17:52:47Z | |
dc.date.available | 2011-11-01T15:13:01Z | en_US |
dc.date.issued | 2010-09 | en_US |
dc.identifier.citation | Lacey Knowles, L.; Alvarado-Serrano, Diego F.; (2010). "Exploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers." Molecular Ecology 19(17 SPECIAL ISSUE ON LANDSCAPE GENETICS ): 3727-3745. <http://hdl.handle.net/2027.42/79315> | en_US |
dc.identifier.issn | 0962-1083 | en_US |
dc.identifier.issn | 1365-294X | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/79315 | |
dc.description.abstract | Understanding the genetic consequences of shifting species distributions is critical for evaluating the impact of climate-induced distributional changes. However, the demographic expansion associated with the colonization process typically takes place across a heterogeneous environment, with population sizes and migration rates varying across the landscape. Here we describe an approach for coupling ecological-niche models (ENMs) with demographic and genetic models to explore the genetic consequences of distributional shifts across a heterogeneous landscape. Analyses of a flightless grasshopper from the sky islands of the Rocky Mountains of North America are used to show how biologically informed predictions can be generated about the genetic consequences of a colonization process across a spatially and temporally heterogeneous landscape (i.e. the suitability of habitats for the montane species differs across the landscape and is itself not static, with the displacement of contemporary populations into glacial refugia). By using (i) ENMs for current climatic conditions and the last glacial maximum to (ii) parameterize a demographic model of the colonization process, which then (iii) informs coalescent simulations, a set of models can be generated that capture different processes associated with distributional shifts. We discuss how the proposed approach for model generation can be integrated into a statistical framework for estimating key demographic parameters and testing hypotheses about the conditions for which distributional shifts may (or may not) enhance species divergence, including the importance of habitat stability, past gene-flow among currently isolated populations, and maintenance of refugial populations in multiple geographic regions. | en_US |
dc.format.extent | 68720 bytes | |
dc.format.extent | 2702686 bytes | |
dc.format.extent | 3106 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Ltd | en_US |
dc.subject.other | Coalescent Simulations | en_US |
dc.subject.other | Glacial Cycles | en_US |
dc.subject.other | Phylogeography | en_US |
dc.subject.other | Pleistocene | en_US |
dc.subject.other | Refugia | en_US |
dc.subject.other | Speciation | en_US |
dc.title | Exploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.identifier.pmid | 20723059 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/79315/1/MEC_4702_sm_Supplemental-Tables.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/79315/2/j.1365-294X.2010.04702.x.pdf | |
dc.identifier.doi | 10.1111/j.1365-294X.2010.04702.x | en_US |
dc.identifier.source | Molecular Ecology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.