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Fig. 3. Area under different suitability grades for the optimal average model. The figures at the top of each bar represent the area. Table 2. Full and partial ROC-AUC measures for model evaluation. The mean value for AUC partial at 0.5 is 0.5

Figure 3 Area under different suitability grades for the optimal average model. The figures at the top of each bar represent the area. Table 2. Full and partial ROC-AUC measures for model evaluation. The mean value for AUC partial at 0.5 is 0.5

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Fig. 1. (a) Study site (b) Potential habitat distribution of P. unguifer in Sikkim Himalayas (c) P. unguifer in its natural habitat (d) Superimposed habitat suitability map. DGMO-LAPIKG \OMId ranaanis ) DECAUSE OF Ssiildll GWall siZ©e Hie LOTMIS, Given that knowledge on the areas where appropriate environmental conditions exist to sustain the species is a pre-requisite for species conservation. Thus, the characterization of a niche of species is fundamental to conservation biology. A complete inventory of the populations of the species is equally important for correct classification from a threat perspective [17]. Thus in this regard, the present work was initiated with the following two objectives: (i) to predict and identify the potential suitable habitat of P. unguifer in its natural range and (ii) to assess the habitat status of predicted area primarily through field survey and secondarily through Google Earth superimposed imaginaries and plan conservation accordingly.
Fig. 1. (a) Study site (b) Potential habitat distribution of P. unguifer in Sikkim Himalayas (c) P. unguifer in its natural habitat (d) Superimposed habitat suitability map. DGMO-LAPIKG \OMId ranaanis ) DECAUSE OF Ssiildll GWall siZ©e Hie LOTMIS, Given that knowledge on the areas where appropriate environmental conditions exist to sustain the species is a pre-requisite for species conservation. Thus, the characterization of a niche of species is fundamental to conservation biology. A complete inventory of the populations of the species is equally important for correct classification from a threat perspective [17]. Thus in this regard, the present work was initiated with the following two objectives: (i) to predict and identify the potential suitable habitat of P. unguifer in its natural range and (ii) to assess the habitat status of predicted area primarily through field survey and secondarily through Google Earth superimposed imaginaries and plan conservation accordingly.
Table 1. Environmental variables and their percentage contribution to the model
Table 1. Environmental variables and their percentage contribution to the model
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