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bounding species distribution modelsSpecies distribution models are increasing in popularity for mapping suitable habitat for species of management concern. Many investigators now recognize that extrapolations of these models with geographic information systems (GIS) might be sensitive to the environmental bounds of the data used in their development, yet there is no recommended best practice for "clamping" model extrapolations. We relied on two commonly used modeling approaches: classification and regression tree (CART) and maximum entropy (Maxent) models, and we tested a simple alteration of the model extrapolations, bounding extrapolations to the maximum and minimum values of primary environmental predictors, to provide a more realistic map of suitable habitat of hybridized Africanized honey bees in the southwestern United States. Findings suggest that multiple models of bounding, and the most conservative bounding of species distribution models, like those presented here, should probably replace the unbounded or loosely bounded techniques currently used [Current Zoology 57 (5): 642-647, 2011].
Document ID
20120010076
Document Type
Reprint (Version printed in journal)
Authors
Stohlgren, Thomas J.
(Geological Survey Fort Collins, CO, United States)
Jarnevich, Cahterine S.
(Geological Survey Fort Collins, CO, United States)
Morisette, Jeffrey T.
(Geological Survey Fort Collins, CO, United States)
Esaias, Wayne E.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 25, 2013
Publication Date
January 1, 2011
Publication Information
Publication: Current Zoology
Volume: 57
Issue: 5
ISSN: 1674-5507
Subject Category
Geosciences (General)
Report/Patent Number
GSFC.JA.00248.2012
Funding Number(s)
CONTRACT_GRANT: NNH08AI02I
Distribution Limits
Public
Copyright
Other