A spatial approach to statistical habitat suitability modeling: The Mt. Graham red squirrel case study | Posted on:1990-03-16 | Degree:Ph.D | Type:Dissertation | University:The University of Arizona | Candidate:Pereira, Jose Miguel Oliveira Cardoso | Full Text:PDF | GTID:1470390017953094 | Subject:Agriculture | Abstract/Summary: | | Multivariate statistical techniques were applied to the development of habitat suitability models for the Mt. Graham red squirrel, an endangered species. A digital map data base and a geographic information system (GIS) were used to support the analysis and provide input for two logistic multiple regression models. Squirrel presence/absence is the dichotomous dependent variable whose probability the models pretend to predict. Independent variables are a set of environmental factors in the first model, and locational variables in the second case, where a logistic trend surface was developed. Bayesian statistics were then used to integrate the models into a combined model. Potential habitat losses resulting from the development of an astronomical observatory were assessed using the environmental model and are found to represent about 3% of currently available habitat. | Keywords/Search Tags: | Habitat, Model, Squirrel | | Related items |
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