2017
DOI: 10.1017/s0376892917000194
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Bat species vulnerability in Cerrado: integrating climatic suitability with sensitivity to land-use changes

Abstract: SUMMARYClimate variables are commonly used to predict suitability for species occurrence, but local processes, such as landscape changes, may affect habitat suitability. We identified levels of exposure to deforestation of suitable climatic areas for eight bat species in the Brazilian Cerrado and explored how sensitivity to land-use changes could reduce their persistence. We created scenarios of sensitivity to land-use changes using theoretical species persistence thresholds to natural vegetation loss in lands… Show more

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Cited by 12 publications
(5 citation statements)
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“…Values ≥ 0.5 indicate acceptable models in the field of ecology and for the purpose of protected-area design e.g. : 14 , 19 , 20 , 55 57 . To convert predicted species distributions into presence/absence maps, we used threshold values 58 , 59 that were derived from the ROC curve.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Values ≥ 0.5 indicate acceptable models in the field of ecology and for the purpose of protected-area design e.g. : 14 , 19 , 20 , 55 57 . To convert predicted species distributions into presence/absence maps, we used threshold values 58 , 59 that were derived from the ROC curve.…”
Section: Methodsmentioning
confidence: 99%
“…To convert predicted species distributions into presence/absence maps, we used threshold values 58 , 59 that were derived from the ROC curve. Use of the maximum threshold value (the Max TSS threshold) to maximize the specificity and sensitivity of models and tends to produce more-restricted distributions 19 , e.g. : 57 , 60 , 61 .…”
Section: Methodsmentioning
confidence: 99%
“…All crop categories were grouped under the category of croplands. Managed pastures and rangelands do not imply a total loss of natural cover but, given that they are anthropized, can harbour conditions that promote or demise the presence of a species, or even some species can adapt to the absence of natural habitat (Karp et al, ; Mendes & De Marco, ). Here, we considered that these land uses exert a negative impact on species in general.…”
Section: Methodsmentioning
confidence: 99%
“…In these, the occurrence data were divided into different calibration and validation groups (70%-30% respectively) to each iteration [48]. The model that presented the best performance was selected for the projection of future climate change scenarios [35,48]. Partial ROCs were performed in R-Studio [33] with the help of the NicheToolBox library [49].…”
Section: Potential Distribution and Climatic Niche Breadthmentioning
confidence: 99%