| Autor: |
Vincent A. Landau, Barry R. Noon, David M. Theobald, N. Thompson Hobbs, Clayton K. Nielsen |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Ecological applications : a publication of the Ecological Society of AmericaREFERENCES. 32(6) |
| ISSN: |
1051-0761 |
| Popis: |
Species distribution models (SDMs) have become an essential tool for the management and conservation of imperiled species. However, many at-risk species are rare and characterized by limited data on their spatial distribution and habitat relationships. This has led to the development of SDMs that integrate multiple types and sources of data to leverage more information and provide improved predictions of habitat associations. We developed a novel integrated species distribution model to predict habitat suitability for jaguars (Panthera onca) in the border region between northern Mexico and the southwestern USA. Our model combined presence-only and occupancy data to identify key environmental correlates, and we used model results to develop a probability of use map. We adopted a logistic regression modeling framework, which we found to be more straightforward and less computationally intensive to fit than Poisson point process-based models. Model results suggested that high terrain ruggedness and the presence of riparian vegetation were most strongly related to habitat use by jaguars in our study region. Our best model, on average, predicted that there is currently 25,463 km |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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