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Species distribution models (SDMs) can be an important tool in rare species conservation. Specifically, SDMs have been used to location previously unknown populations and identify sites for reintroduction or translocation. With these goals in mind, we applied SDM to a recently listed plant species, Pectis imberbis, which is found in the Madrean Archipelago region of southern Arizona, USA, and northern Mexico. We used presence-pseudoabsence data and applied 10 replicates of 5 modeling algorithms, generalized linear model (GLM), generalized additive model (GAM, generalized boosted model (GBM, aka boosted regression trees), random forests (RF), and classification tree analysis (CTA) to 4 different predictor datasets...
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