Do Random Forest-Driven Climate Envelope Models Require Variable Selection? A Case Study on Crustuli...
Do Random Forest-Driven Climate Envelope Models Require Variable Selection? A Case Study on Crustulina guttata (Theridiidae: Araneae)
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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Climate Envelope Models (CEMs) commonly employ 19 bioclimatic variables to predict species distributions, yet selecting which variables to include remains a critical challenge. Although it seems logical to select ecologically relevant variables, the biological responses of many target species are poorly understood. Random Forest (RF), a popular met...
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Do Random Forest-Driven Climate Envelope Models Require Variable Selection? A Case Study on Crustulina guttata (Theridiidae: Araneae)
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TN_cdi_doaj_primary_oai_doaj_org_article_09834225a43842b9bb05bfcba943bf1e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_09834225a43842b9bb05bfcba943bf1e
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2075-4450
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2075-4450
DOI
10.3390/insects16020209