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Abstract Detail


Biogeography

Struwe, Lena [1], Lathrop, Richard G. [2], Smouse, Peter E. [1].

Spatial Evolutionary and Ecological Vicariance Analysis of Biodiversity ? a new interdisciplinary approach.

THE tropics are a conglomerate of regions with different environments, age, geology and climatic history. A new method called Spatial Evolutionary and Ecological Vicariance Analysis (SEEVA) is presented that integrates evolutionary hypotheses, ecological history, geographic distribution, and the geologic record to better understand speciation pattern and processes. This is dependent on three basic sources of data; 1) revisions and georeferenced locality information, 2) well-supported phylogenetic hypotheses including all species of the study group, and 3) environmental data extracted from GIS base layers. A statistical method has been developed to evaluate unlimited numbers of environmental variables for their correlation (non-randomness) with species distributions across georeferenced collections, either by clade (historical time-based) or by current species (extant-based). Relative, standardized impact for different environmental and ecological factors can be evaluated throughout the history of the study group and compared with the geologic history. An example from the Neotropics using the plant family Gentianaceae will be presented, which utilizes all-species-inclusive phylogenies of genera based on molecular and morphological data, herbarium records, and the Americas Basemap for the GIS analysis of this method.


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1 - Rutgers University, Ecology, Evolution, & Natural Resources, 14 College Farm Rd, New Brunswick, New Jersey, 08901, USA
2 - Rutgers University, Center for Remote Sensing and Spatial Analysis, 14 College Farm Road, New Brunswick, New Jersey, 08901, USA

Keywords:
biogeography
GIS
collections
Gentianaceae
ecology
ecological niche model.

Presentation Type: Oral Paper:Papers for Topics
Session: 64-1
Location: 134/Performing Arts Center
Date: Wednesday, August 2nd, 2006
Time: 8:00 AM
Abstract ID:518


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