DOI: 10.1111/ele.12883
Scopus记录号: 2-s2.0-85036529895
论文题名: Using connectivity to identify climatic drivers of local adaptation
作者: Macdonald S.L. ; Llewelyn J. ; Phillips B.L.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2018
卷: 21, 期: 2 起始页码: 207
结束页码: 216
语种: 英语
英文关键词: climate
; connectivity
; local adaptation
; targeted gene flow
Scopus关键词: Squamata
英文摘要: Understanding the climatic drivers of local adaptation is vital. Such knowledge is not only of theoretical interest but is critical to inform management actions under climate change, such as assisted translocation and targeted gene flow. Unfortunately, there are a vast number of potential trait–environment combinations, and simple relationships between trait and environment are ambiguous: representing either plastic or evolved variation. Here, we show that by incorporating connectivity as an index of gene flow, we can differentiate trait–environment relationships reflecting genetic variation vs. phenotypic plasticity. In this way, we rapidly shorten the list of trait–environment combinations that are of significance. Our analysis of an existing data set on geographic variation in a tropical lizard shows that we can effectively rank climatic variables by the strength of their role in local adaptation. The promise of our method is a rapid and general approach to identifying the environmental drivers of local adaptation. © 2017 John Wiley & Sons Ltd/CNRS Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107507
Appears in Collections: 气候减缓与适应
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作者单位: Centre for Tropical Biodiversity and Climate Change, James Cook University, Townsville, QLD, Australia; CSIRO Land and Water Flagship, Townsville, QLD, Australia; School of BioSciences, University of Melbourne, Melbourne, VIC, Australia
Recommended Citation:
Macdonald S.L.,Llewelyn J.,Phillips B.L.. Using connectivity to identify climatic drivers of local adaptation[J]. Ecology Letters,2018-01-01,21(2)