2023
DOI: 10.1016/j.ecoinf.2023.102247
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Climate change induces habitat shifts and overlaps among carnivores in an arid and semi-arid ecosystem

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Cited by 4 publications
(3 citation statements)
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“…Climate change is anticipated to lead to a reduction in areas with high species richness, while areas with low species richness are expected to increase. In central Iran, for instance, the habitats shared by carnivores are predicted to decrease due to climate change 19 . This implies that climate change may potentially reduce competition for resources and space within certain species' habitats.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Climate change is anticipated to lead to a reduction in areas with high species richness, while areas with low species richness are expected to increase. In central Iran, for instance, the habitats shared by carnivores are predicted to decrease due to climate change 19 . This implies that climate change may potentially reduce competition for resources and space within certain species' habitats.…”
Section: Discussionmentioning
confidence: 99%
“…The conversion of agricultural land may result in spatial segregation among these owl species 18 . Climate change can also impact the spatial overlaps between carnivores, intensifying competition due to water scarcity in arid and semi-arid regions and decreasing rainfall 19 . Studies have demonstrated that future climate change will signi cantly in uence the patterns of spatial overlap between the Giant Pandas (Ailuropoda melanoleuca) and coexisting mammalian species in Qinling Mountains.…”
Section: Introductionmentioning
confidence: 99%
“…A prediction is deemed bad if it is less than 0.5, acceptable if it is between 0.5 and 0.7, good if it is between 0.7 and 0.9, and outstanding if it is between 0.9 and 1 [6,57]. TSS was rated as failed, <0.4; good, 0.4-0.75; and excellent, >0.75 [58,59]. In addition, the efficacy of the model was confirmed in this study by contrasting the results with the field survey data.…”
Section: Model Simulation Optimization and Evaluationmentioning
confidence: 99%