| Autor: |
Scott N. Zimmer, Kenneth W. Holsinger, Carol A. Dawson |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Ecology and Evolution, Vol 13, Iss 12, Pp n/a-n/a (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2045-7758 |
| DOI: |
10.1002/ece3.10816 |
| Popis: |
Abstract Understanding the suitable habitat of endangered species is crucial for agencies such as the Bureau of Land Management to plan management and conservation. However, few species distribution models are directly validated, potentially limiting their application in management. In preparation for a Species Status Assessment of clay‐loving wild buckwheat (Eriogonum pelinophilum), an endangered subshrub found in southwest Colorado, we ran a series of species distribution models to estimate the species' potential occupied habitat and validated these models in the field. A 1‐meter resolution digital elevation model derived from LiDAR and a high‐resolution geology mapping helped identify biologically relevant characteristics of the species' habitat. We employed a weighted ensemble model based on two Random Forest and one Boosted Regression Tree model, and discrimination performance of the ensemble model was high (AUC‐PR = 0.793). We then conducted a systematic field survey of model habitat suitability predictions, during which we discovered 55 new subpopulations of the species and demonstrated that new species observations were strongly associated with model predictions (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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