Our predictions are reliable and have the potential to estimate the global distribution of the pest, as well as provide suggestions for prompt of O. As a result, there will be a need for effective strategies to prevent its spread. rhinoceros will continue to threaten the economically important host plants until 2080. Under the different climate change scenarios, O. The environmental variables which contributed the most to the geographical distribution of the pest were minimum temperature of coldest month (26.81 %), followed by precipitation of wettest month (20.61 %), temperature annual range (11.34 %), mean diurnal range (11.33 %), and elevation (4.49 %). rhinoceros outside the current known distribution. The BRT model predicts an expansion of O.

We employed Boosted Regression Tree (BRT) and ArcGIS to create risk maps for the pest.

rhinoceros to predict the current and future potential distribution of the pest under two representative concentration pathways (RCPs 4.5 and 8.5) for three time periods (2030, 2050, and 2080). To achieve this, we used environmental variables and occurrence records of O. Therefore, it is essential to understand the impact of climate change on the range shifts of an invasive species like the Asiatic rhinoceros beetle, Oryctes rhinoceros Linnaeus (Coleoptera: Dynastinae: Scarabaeidae), to inform policy formulation and preventive measures. This will tend to affect their geographical distribution and dispersal patterns, thereby threatening agriculture production and food security. Climate change is expected to have a significant influence on species range expansion, habitat shifts, and risk of biological invasion due to changes in survival rates, and rapid reproduction.

Rhino tree model