| Abstrakt: |
Comprehensive information on vulnerability patterns is critical for effectively integrating response actions for climate change adaptation and mitigation at the district level. Unfortunately, in developing countries, a large number of local authorities and policymakers are lacking in the requisite information. Moreover, there needs to be more uniformity in the methodology employed for vulnerability analysis at the district level, and incorporating broader assessments at a district level is vital. The spatial evaluation of vulnerability patterns to climate change in 166 districts in the central region of India reveals areas that require immediate attention for adaptation action. The study facilitates a framework for the evaluation of the vulnerability of districts to climate change based on three components (exposure, sensitivity, and adaptive capacity) accountable for over 83.5% of the overall data set's cumulative variability. Spatial multicriteria evaluation (SMCE) combines vulnerability components and indicators into a single framework. SMCE is used to develop a criteria tree, normalize indicators, and allocate weights to all elements, facets, and indicators. The study illustrated that high vulnerability was reported in the Jaipur, Raipur, Durg, West-Nimar, Jalgaon, Nashik, Faizabad, and Jaunpur Districts, covering an estimated 39.76% of the entire region. Additionally, roughly 26.50% of the area was determined to possess a significant level of vulnerability. It was observed that 60% of the population falls into moderate to high vulnerability categories in the central region. The study introduces a decision-making process related to climate change and vulnerability that assists policymakers in formulating strategies for climate mitigation and adaptation measures focusing on sustainability. [ABSTRACT FROM AUTHOR] |
