| 项目编号: | 1407300
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| 项目名称: | DISSERTATION RESEARCH: DETECTING SELECTION ACROSS SPATIAL SCALES AND ENVIRONMENTAL GRADIENTS |
| 作者: | Gordon Luikart
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| 承担单位: | University of Montana
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| 批准年: | 2013
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| 开始日期: | 2014-06-01
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| 结束日期: | 2016-05-31
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| 资助金额: | USD18395
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Biological Sciences - Environmental Biology
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| 英文关键词: | natural selection
; spatial scale
; population
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| 英文摘要: | Species that inhabit Northern latitudes are expected to experience dramatic climate changes in the coming century, and both basic and applied scientists need information about the effect of these changes on living natural resources. This project will produce useful statistical tools and baseline data for long-term population monitoring and management, and deliver important information regarding the ability of wildlife to persist in a changing landscape. One PhD student will be trained through this research, and will communicate results to collaborating public lands agencies for direct application to defining management units, modeling future distribution and abundance of wildlife populations, and planning for potential species range shifts. Results will also be broadly disseminated through public forums including invited speaking events, professional meetings, public radio, and school presentations.
When climate and landscape patterns change beyond an organism's physiological threshold, the options for persistence of that population are limited to adaptation or migration. Reliable identification of genes underlying signatures of natural selection is a necessary component of detecting the spatial scale at which adaptation to local conditions occurs, and provides critical information for understanding evolution and population resilience. However, the relative sensitivity of statistical tests to detect selection has not been rigorously examined, even less so for populations in natural landscapes. This project investigates the accuracy and precision of our ability detect local adaptation in naturally occurring populations at both smaller, landscape level scales, and broader, species-level scales. A combination of computer simulations and empirical information from novel genetic techniques will facilitate investigation of the influence of environmental variation, different population sizes, and migration rates on local adaptation of a northern alpine wild sheep throughout its range. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/96746
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Gordon Luikart. DISSERTATION RESEARCH: DETECTING SELECTION ACROSS SPATIAL SCALES AND ENVIRONMENTAL GRADIENTS. 2013-01-01.
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