Regarding plant protection in agriculture, it has been known that the cause of leaf blight is the bacteria named Xanthomonas campestris pv. oryzae. This paper aims to conduct a species distribution model of leaf blight-causing bacteria in rice plants and elaborates on its habitat suitability throughout Indonesia within the climate change context. The occurrences data was extracted from the Global Biodiversity Information Facility (GBIF), whereas the climate data was obtained from the Worldclim data set. The Species Distribution Model used the Maximum entropy method available on the Ecocommons website. The result shows that the bacteria occurrences positively correlate with several climatic variables and spread throughout the archipelago presented into five classes. Main islands such as Java, Bali, and Sumatra share areas with the highest suitability values. While Kalimantan and Sulawesi only share small areas with high suitability area. Papua has a less suitable location for the bacteria to spread. Rice cultivation is inseparable from the threat of pests and diseases. It can cause losses in the form of decreased production to crop failure. Therefore, The Species Distribution Model needed to identify areas where the vector is likely to occur. This way, mitigation or even prevention efforts could be made effectively.

Scircpophaga incertulas is a caterpillar that lives in rice stalks and can damage rice crops from seedling to maturity. One factor that influences this pest’s presence is the climatic factor. This study aimed to map the future potential distribution of Scircpophaga incertulas (2100). The method utilized in this study was the Species Distribution Model (SDM) from the web-based modeling platform Ecocommons by using the Artificial Neural Network (ANN). For current and climatic projections (the year 2100), the open-source climatic data from CliMond were used. The ANN result shows the climatic factors contributing to this species distribution are annual precipitation amount by more than 80%, followed by the mean monthly precipitation amount (the warmest quarter by precisely 80% and the coldest quarter by 62%). The SDM analysis indicates that around 23.07% of Indonesia’s archipelago is highly suitable for Scircpophaga incertulas in 2100, while in the current situation, 33.03% is suitable. This study deduces that the highest suitability for this pest distribution will cover 80% of the Java Island area in the future. In contrast, this species’ potential distribution in Papua will decline from 46.86% to 21.29% in 2100.