Integrating GIS-based environmental data into evolutionary biology

被引:400
|
作者
Kozak, Kenneth H. [1 ,2 ]
Graham, Catherine H. [3 ]
Wiens, John J. [3 ]
机构
[1] Univ Minnesota, Bell Museum Nat Hist, St Paul, MN 55108 USA
[2] Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, St Paul, MN 55108 USA
[3] SUNY Stony Brook, Dept Ecol & Evolut, Stony Brook, NY 11794 USA
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
D O I
10.1016/j.tree.2008.02.001
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Many evolutionary processes are influenced by environmental variation over space and time, including genetic divergence among populations, speciation and evolutionary change in morphology, physiology and behaviour. Yet, evolutionary biologists have generally not taken advantage of the extensive environmental data available from geographic information systems (GIS). For example, studies of phylogeography, speciation and character evolution often ignore or use only crude proxies for environmental variation (e.g. latitude and distance between populations). Here, we describe how the integration of GIS-based environmental data, along with new spatial tools, can transform evolutionary studies and reveal new insights into the ecological causes of evolutionary patterns.
引用
收藏
页码:141 / 148
页数:8
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