Mapping Tribal Vulnerability: A Spatial Assessment of Livelihood, Infrastructure And Environmental Risks

Abstract

This research paper of such aspects here investigates the multidimensional vulnerabilities faced by tribal populations in India through a more corporate structure based comprehensive spatial assessment framework. Tribal communities which are here representing over 8.6% of India's population-based structure, inhabit some here stays of the most ecologically fragile as well as economically underdeveloped regions. Their deep structural aspects here historical connection based to the land & reliance on natural resources expose them hereby disproportionately in this nature to the compounded effects of climate-based change, infrastructure deficits, as well as environmental based degradation. By employing the Livelihood Vulnerability Index (LVI) alongside Geographic Information Systems (GIS) mapping, this study hereby quantifies spatial nature-based disparities in vulnerability across socio-demographic, infrastructural, & ecological parameters. A critical aspect of evaluation-based nature of existing literature underscores here that indigenous groups-based experience higher than the sensitivity as well as lower adaptive capacity to climate-based hazards such as forest fires, coastal floods, and air pollution, compared to non-tribal populations-based structure. Furthermore, critical infrastructure deficits here to be more on the amplify these risks, limiting disaster response capabilities as well as long-term socio-economic resilience. The findings here strongly advocate for tailored, decentralized, & culturally sensitive adaptation strategies that empower more of the tribal governance and incorporate indigenous ecological knowledge. Integrating nature wise spatial aspects here are planning with multidimensional poverty system in this way of detail nature alleviation frameworks remains paramount here for fostering more with sustainable aspects livelihoods & building like community resilience against intensifying climate-induced stressors.