Bounding species distribution models
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Abstract
Species 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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Bounding species distribution models |
| Series title | Current Zoology |
| DOI | 10.1093/czoolo/57.5.642 |
| Volume | 57 |
| Issue | 5 |
| Year Published | 2011 |
| Language | English |
| Publisher | Oxford Academic |
| Contributing office(s) | Fort Collins Science Center |
| Description | 6 p. |
| First page | 642 |
| Last page | 647 |
| Google Analytic Metrics | Metrics page |