2019
DOI: 10.1016/j.biocon.2019.06.014
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Combining multi-state species distribution models, mortality estimates, and landscape connectivity to model potential species distribution for endangered species in human dominated landscapes

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Cited by 42 publications
(35 citation statements)
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“…For this study, the ensemble models were implemented using three species distribution models, including generalized linear models (GLM), generalized boosted models (GBM), and a maximum entropy algorithm (MaxEnt). These species distribution models were selected based on their high predictive power [1,40,41,42]. For each model, we ran three replications where 75% of the occurrence points was used as training set, while the remaining 25% was used for model evaluation.…”
Section: Building the Predictive Ensemble Modelsmentioning
confidence: 99%
“…For this study, the ensemble models were implemented using three species distribution models, including generalized linear models (GLM), generalized boosted models (GBM), and a maximum entropy algorithm (MaxEnt). These species distribution models were selected based on their high predictive power [1,40,41,42]. For each model, we ran three replications where 75% of the occurrence points was used as training set, while the remaining 25% was used for model evaluation.…”
Section: Building the Predictive Ensemble Modelsmentioning
confidence: 99%
“…Before running the model, we checked pairwise Pearson's correlation coefficient between covariates and verified that no variable pair had a coefficient higher than 0.60 (Khosravi et al 2018). The ensemble model was implemented using a generalized linear model (GLM), a generalized boosted model (GBM), and a maximum entropy algorithm (MaxEnt) because of their high predictive power (Bosso et al 2018;Fois et al 2018;Khosravi et al 2018;Maiorano et al 2019). For every single model, we ran three replications where 75% of the presence points was used as training set, while the remaining 25% was used as test set.…”
Section: Habitat Suitability Analysismentioning
confidence: 99%
“…Gervasi and Ciucci (2018) use deterministic and stochastic models to conclude that the bear populations are likely to remain small and exposed to high risk for extinction, unless average survival and reproductive rates increase. Maiorano et al (2019) construct a multistate species distribution model for the protection and development of structural corridors in human-dominated landscapes; authors suggest that coordinated efforts between local communities, conservation agencies, national administrations, and governed regions are vital for the survival of the Apennine brown bear (Ursus arctos marsicanus) and that of European wildlife altogether.…”
Section: A Case For Corridor Connectivitymentioning
confidence: 99%