Evaluating the ability of regional models to predict local avian abundance
| Autor: | Jaymi J. LeBrun, Wayne E. Thogmartin, James R. Miller |
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| Rok vydání: | 2012 |
| Předmět: |
Ecology
biology Land cover biology.organism_classification Breeding bird survey Warbler Ecoregion Geography Abundance (ecology) Wood thrush General Earth and Planetary Sciences Physical geography Bird conservation Ecology Evolution Behavior and Systematics Nature and Landscape Conservation General Environmental Science Count data |
| Zdroj: | The Journal of Wildlife Management. 76:1177-1187 |
| ISSN: | 0022-541X |
| Popis: | Spatial modeling over broad scales can potentially direct conservation efforts to areas with high species-specific abundances. We examined the performance of regional models for predicting bird abundance at spatial scales typically addressed in conservation planning. Specifically, we used point count data on wood thrush (Hylocichla mustelina) and blue-winged warbler (Vermivora cyanoptera) from 2 time periods (1995–1998 and 2006–2007) to evaluate the ability of regional models derived via Bayesian hierarchical techniques to predict bird abundance. We developed models for each species within Bird Conservation Region (BCR) 23 in the upper midwestern United States at 800-ha, 8,000-ha, and approximately 80,000-ha scales. We obtained count data from the Breeding Bird Survey and land cover data from the National Land Cover Dataset (1992). We evaluated predictions from the best models, as defined by an information-theoretic criterion, using point count data collected within an ecological subregion of BCR 23 at 131 count stations in the 1990s and again in 2006–2007. Competing (Deviance Information Criteria |
| Databáze: | OpenAIRE |
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