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• W3190174544 endingPage "101386" @default.
• W3190174544 startingPage "101386" @default.
• W3190174544 abstract "Prosopis juliflora (Swartz) DC has become one of the world's 100 most dominant invasive species. It is spreading quickly in different parts of the country leading to growing public concern. Effective management of invasive plants requires information regarding their spatial distributions and identifying areas vulnerable to Invasive Alien Plant Species (IAPS). This study combines Worldclim bioclimatic data with Global Biodiversity Information Facility (GBIF) and Indian biodiversity portal mediated occurrence points to model climatic suitability for P. juliflora in India under current and future climatic conditions using MaxEnt. For evaluating the importance of the environmental variables for predictive modeling, the Jack-knife test was performed. MaxEnt model was highly accurate with a statistically significant AUC value of 0.92. We observed that a larger extent of the Indian landscape currently invaded will remain suitable for P. juliflora growth and patterns of range expansion will take place soon unless management measures are initiated. Some states of North, North-western, and Southern India are projected to have higher climatic suitability for P. juliflora in the future. The findings of this study could be used as an early warning tool for the environmental monitoring of the areas which are highly vulnerable to the invasion of the species. • Prosopis juliflora (Swartz) DC has become one of the world's 100 most dominant invasive species. • The study combines occurrence points from different sources to model climatic suitability for P. juliflora in India under current and future climatic conditions using MaxEnt. • MaxEnt model was highly accurate with a statistically significant AUC value of 0.92. • The climatic suitability of P.juliflora is projected to increase in the future. • Findings of this study could be used as an early warning tool for the environmental monitoring of the areas which are highly vulnerable to the invasion of the species." @default.
• W3190174544 created "2021-08-16" @default.
• W3190174544 creator A5026186006 @default.
• W3190174544 creator A5027499246 @default.
• W3190174544 creator A5044070472 @default.
• W3190174544 date "2021-09-01" @default.
• W3190174544 modified "2023-10-18" @default.
• W3190174544 title "Modeling potential hotspots of invasive Prosopis juliflora (Swartz) DC in India" @default.
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• W3190174544 doi "https://doi.org/10.1016/j.ecoinf.2021.101386" @default.
• W3190174544 hasPublicationYear "2021" @default.
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