Integrating GIS-based environmental data into evolutionary biology

Kenneth H. Kozak; Catherine H. Graham; John J. Wiens

doi:10.1016/j.tree.2008.02.001

Integrating GIS-based environmental data into evolutionary biology

Kenneth H. Kozak
, Catherine H. Graham
, John J. Wiens

Fisheries, Wildlife, and Conservation Biology

Research output: Contribution to journal › Review article › peer-review

427 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	141-148
Number of pages	8
Journal	Trends in Ecology and Evolution
Volume	23
Issue number	3
DOIs	https://doi.org/10.1016/j.tree.2008.02.001
State	Published - Mar 2008

Bibliographical note

Funding Information:
Our research was supported by NSF grants DBI-0434728 (K.H.K.), DEB-0416152 (C.H.G.) and EF 0334923 (J.J.W.), and a NASA new investigator award to C.H.G. For comments on the manuscript, we thank S. B. Baines, D. Moen and other members of the Wiens laboratory group, A. Guisan, and four anonymous reviewers. We thank M. Chatfield and M. Yip for kindly providing the photographs of Plethodon jordani and Catharus ustulatus that appear in Box 1 and Figure 1 , respectively.

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title = "Integrating GIS-based environmental data into evolutionary biology",

abstract = "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.",

author = "Kozak, \{Kenneth H.\} and Graham, \{Catherine H.\} and Wiens, \{John J.\}",

note = "Funding Information: Our research was supported by NSF grants DBI-0434728 (K.H.K.), DEB-0416152 (C.H.G.) and EF 0334923 (J.J.W.), and a NASA new investigator award to C.H.G. For comments on the manuscript, we thank S. B. Baines, D. Moen and other members of the Wiens laboratory group, A. Guisan, and four anonymous reviewers. We thank M. Chatfield and M. Yip for kindly providing the photographs of Plethodon jordani and Catharus ustulatus that appear in Box 1 and Figure 1 , respectively.",

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AB - 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.

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Integrating GIS-based environmental data into evolutionary biology

Abstract

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