ANNOUNCEMENTS
This study investigates the spatio-temporal variation in vegetation within protected areas of the Deccan Dry Deciduous forests, employing remote sensing approach. The analysis utilizes satellite-derived Normalized Difference Vegetation Index (NDVI) data from MODIS, Rainfall data from CHIRPS, and Temperature data from TerraClimate. The study period spans from 2001 to 2022, capturing long-term trends and changes in the ecosystem. The Trend analysis, provides valuable insights into the climatic patterns that influence vegetation dynamics. Additionally, NDVI phenology metrics are employed to assess the temporal changes in vegetation cover and phonological stages over the years, shedding light on the ecosystem's response to environmental factors. To further understand the drivers of vegetation dynamics, stepwise regression analysis is conducted using NDVI as predictand and rainfall, and temperature as predictor variables. This approach identifies the significant contributors to vegetation variability and elucidates the relationships between climatic variables and vegetation response. Moreover, the residual obtained from the stepwise regression is examined through trend analysis, aiming to delineate the potential impact of anthropogenic activities on vegetation dynamics. By distinguishing the anthropogenic-induced changes from natural variations, this analysis provides insights into the extent of human influence on the studied protected areas. The findings of this study contribute to our understanding of spatiotemporal variations in vegetation within the Deccan Dry Deciduous forests. Around 85 % of the protected areas are undergoing changes in vegetation by the impact of Climate changes and 15 % are due to Anthropogenic activities.
