Bengal tigers (Panthera tigris tigris) primarily inhabit fragmented and isolated landscapes, threatening their long-term survival. Habitat fragmentation disrupts movement, reduces genetic diversity, limits prey availability, and increases human-wildlife conflict. Maintaining ecological connectivity is essential for tiger dispersal and population stability. This study employs Remote Sensing and Geographic Information System (GIS) techniques to analyze habitat connectivity across six tiger reserves. Habitat suitability models, incorporating vegetation indices, prey density, and anthropogenic factors, were developed using GIS-based spatial analysis. Using a 200 km threshold, binary and probabilistic indices were applied to identify critical habitat patches for tiger dispersal. The Kanha-Achanakmar landscape emerged as a crucial corridor, exhibiting the highest Betweenness Centrality (BC) and Integral Index of Connectivity (IIC) values, highlighting its role in sustaining tiger populations and facilitating ecological linkages.
Additionally, the study integrates graph-theoretic and game-theoretic models to assess tiger dispersal dynamics. The game-theoretic approach evaluates behavioral strategies and the impact of landscape modifications on population viability. The findings emphasize the Pench-Kanha-Achanakmar corridor as a key dispersal route, supporting prey interactions and ecological stability. This research provides a computational framework for conservation planning, leveraging Remote Sensing, GIS, and mathematical modeling to inform strategies for maintaining long-term habitat connectivity and the persistence of wild tiger populations.
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