Prediction of ecological and geological niches of Salvadora oleoides in arid zones of India: causes and consequences of global warming

Global potential distribution prediction of Xanthium italicum based on Maxent model

“…In this paper, the performance of the MaxEnt model was revealed by the ROC curve, whereas the accuracy of the prediction mapping (current and future) was determined by the percentage contribution and jackknife test. Additionally, classification accuracy measures, such as K, NMI and TSS, were in agreement with Bhandari 30 . Further, it concurs about the sample size of the studied species to determine the training and testing of geo-coordinates used for prediction mapping (Supplementary material Table S2).…”

“…The AUC value of 0.5–0.6 means the simulation effect of this model is failed; 0.6–0.7 means the simulation effect is poor; 0.7–0.8 means the simulation effect is average; 0.8–0.9 means the simulation effect is good; 0.9–1 means the simulation effect is perfect 52 , 53 . Moreover, three other approaches also have performed in the supplementary table S2 to test the performance of Maxent model, which includes kappa coefficient (K), Normalized Mutual Information (NMI) n(s) and True Skill Statistic (TSS) 30 , 54 , 55 .…”

“…It builds a prediction model based on the actual distribution points and environmental variables of the distribution area stored in GIS, and to simulate the potential distribution of species in the target space. The output is a thematic map reflecting the suitability of the relative distribution of species 29 , 30 . Maxent model has been widely used in the field of species distribution research 31 , 32 , such as the potential distribution of Haloxylon persicum in Central Asia under global warming 33 , the prediction of the suitable growth zone of Rhinopithecus roxellana due to the sharp reduction of human disturbance 34 , and the distribution of five economic tree species in the Amazon River basin combined with remote sensing technology 35 .…”