Quantifying Potentially Suitable Geographical Habitat Changes in Chinese Caterpillar Fungus with Enhanced MaxEnt Model. [PDF]
Peng Y, Xu D, Ali H, Liu Z, Zhuo Z.
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Distribution Pattern of Endangered <i>Cycas taiwaniana</i> Carruth. in China Under Climate-Change Scenarios Using the MaxEnt Model. [PDF]
Xie C, Li M, Jim CY, Chen R.
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Predicting the potential geographical distribution of mango, an important tropical economic tree species, under current and climate change based on Maxent model. [PDF]
Yi S, Huang Y, Liu Z, Zhu Z, Su H.
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Modeling the Susceptibility of Ips sexdentatus with Maximum Entropy (MaxEnt)
Forests are most affected by climate change and related factors. Climate change causes changes in the distribution of host trees and their associated pests. Predictive models that determine the spatial distributions of species are important for applications that will guide planners in the field of ecology and conservation. It is predicted that the ever-
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Assessing Suitable Habitats for <i>Gerbera piloselloides</i> (L.)Cass. in China Using an Optimized MaxEnt Model and Key Environmental Drivers. [PDF]
Xue J +5 more
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Evaluating the Impact of Climate Change on the Asia Habitat Suitability of Troides helena Using the MaxEnt Model. [PDF]
Yang F +9 more
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Globally suitable areas for Lycorma delicatula based on an optimized Maxent model. [PDF]
Zhao Z, Yang L, Chen X.
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Prediction of potential habitat of <i>Verbena officinalis</i> in China under climate change based on optimized MaxEnt model. [PDF]
Chen S +5 more
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Prediction of Potential Distribution and Response of <i>Changium smyrnioides</i> to Climate Change Based on Optimized MaxEnt Model. [PDF]
Zhu X +8 more
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Potentially suitable geographical area for <i>Pulsatilla chinensis</i> Regel under current and future climatic scenarios based on the MaxEnt model. [PDF]
Wu Y +9 more
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