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- Title
DOES SCALE MATTER IN PREDICTING SPECIES DISTRIBUTIONS? CASE STUDY WITH THE MARBLED MURRELET.
- Authors
Meyer, C. B.
- Abstract
The article examines a two-step approach in scaling and predicting species distribution. The first step incorporates a single grain analysis of each selection order while the second step creates a multi-grain model that combines key variables from each selection order. Using the seabird marbled murrelet as a model, it was found that the two-step multi-grain models allow interpretation of the scale of selection for a variable. Although, a single-grain model can produce high classification accuracy if it represents the most limiting scale, the multi-grain models are still recommended in explaining scaling effects.
- Subjects
ANIMAL species; MARBLED murrelet; DIVERS (Birds); SPECIES distribution; ZOOGEOGRAPHY; ARTIFICIAL selection of animals; SPECIES; ANIMAL classification; ANIMAL models in research
- Publication
Ecological Applications, 2007, Vol 17, Issue 5, p1474
- ISSN
1051-0761
- Publication type
Article
- DOI
10.1890/06-1410.1