Inherent vulnerability of agricultural communities in Himalaya: A village-level hotspot analysis in the Uttarakhand state of India |
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| Institution: | 1. Department of Natural Resources, TERI University, New Delhi, 110070, India;2. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India;1. Department of Natural Resources, TERI University, New Delhi, 110070, India;2. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India;1. College of Horticulture & Forestry, Central Agricultural University, Pasighat, 791102, Arunachal Pradesh, India;2. ICAR-Central Soil Salinity Research Institute, Karnal, 132001, Haryana, India;3. The Northern Institute, Charles Darwin University, Australia;4. Village Sibut, Pasighat, 791102, East Siang, Arunachal Pradesh, India;5. Village GTC Colony, Pasighat, East Siang, 791102, Arunachal Pradesh, India;6. Doying Gumin College, Pasighat, East Siang, 791102, Arunachal Pradesh, India;7. Research Institute for the Environment and Livelihoods, Charles Darwin University, Australia;1. ICAR-National Research Centre on Yak, Dirang, 790101, Arunachal Pradesh, India;2. Dairy Extension Division, ICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India;3. Department of Extension Education, Bihar Agricultural University, Sabour, 813210, Bihar, India;4. Dairy Cattle Physiology Division, ICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India;1. Indian Institute of Forest Management, Bhopal, India;2. Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O. Box 2713, Doha, Qatar;3. ICFRE, Dehradun, India |
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| Abstract: | Mountain regions are characterized by complex biophysical and marginal socio-economic conditions that contribute to the vulnerability of agricultural communities. Owing to the extremely heterogeneous conditions in mountains, it becomes imperative to understand the spatial distribution of vulnerability at fine-scale. This study assesses the inherent vulnerability of agricultural communities at village level for the entire state of Uttarakhand. Inherent vulnerability, conceptualized as an internal property of agriculture dependent communities, is measured as a function of sensitivity and adaptive capacity. Data on 36 indicators, reflecting the social and ecological dimensions of sensitivity and adaptive capacity, was collected from secondary sources for 15,285 villages. Each indicator was weighed according to its importance in determining vulnerability using Analytical Hierarchical Process (AHP) and finally aggregated to map the spatial distribution of inherent vulnerability under five classes. To enable more effective adaptation planning, identification of vulnerability hotspots was done using local Moran's I. Our analysis reveals that majority of the villages have very low (36.1%) and low (19.6%) adaptive capacity characterized by the poor developmental and high agricultural constraints. Overall the state observes high vulnerability (0.66 ± 0.15), with about 23.6% and 24.7% villages classified under very high and high vulnerability class respectively. The spatial pattern of inherent vulnerability shows significant altitudinal gradient with most of the vulnerability hotspots villages located in middle altitudinal zone. The outcomes of the study assist the policy interventions in prioritizing allocation of resources to enhance the capacities of agricultural communities inhabiting the identified inherent vulnerability hotspots. |
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| Keywords: | Inherent vulnerability Agricultural communities Village level AHP Uttarakhand |
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