Forest Degradation Index: A Tool for Forest Vulnerability Assessment in Indian Western Himalaya

The global climate is showing altered temperatures and precipitation levels. Forests can be a stabilizing force in climate change. They regulate the nutrient cycle, protect species and diversity, and support livelihoods that drive holistic growth. Presently, the forest ecosystem’s capacity to withstand change is being undermined by the rate of change, along with anthropogenic pressures and the specificities of mountainous regions. Here, we attempted to design a ‘forest vulnerability index’ using field measurements and household surveys. A total of 71 quadrants were laid out, and 545 respondents were interviewed in 91 villages along the altitudinal gradient (altitude 1800 m asl (Zone C)) of the Pauri district of Uttarakhand, India. The village-level data were normalized and combined to represent climate change impacts and the dimension of vulnerability. The IPCC (2014) protocol was used to assess forest vulnerability. The highest vulnerability was recorded in Zone ‘B’, and higher sensitivity, higher climate change impacts, and lower adaptive capacities were recorded in Zone ‘B’ and ‘C’. The approach is comparable within the district and between the states. In enhancing our shared understanding of forest degradation, the results are of value to policy/decision-makers, implementers, and adaptation funding agencies, who can use them to assess the scale, cause, and actions for adaptation

Prioritization of Socio-Ecological Indicators for Adaptation Action in Pauri District of Western Himalaya

Socio-ecological systems have increasingly faced climate-change impacts, which have adversely affected the lives and property of inhabitants. The present study aims to prioritize adaptation actions along an altitudinal gradient (1801 m asl (Zone C)) in Pauri District, Uttarakhand. A cross-sectional survey research design was employed to prioritize adaptation action from 545 randomly selected households in 91 villages. A multi-disciplinary bottom-up indicator-based approach was applied to identify and normalize sectoral indicators, and PCA was used to prioritize sectoral indicators. Adaptation actions were designed with prioritized sectoral indicators along the altitude and stakeholder consultations. The prioritized indicators varied along the altitudinal gradient, and more than 50% of the indicators for the same sector were different along an altitudinal gradient. Sectoral adaptation planning along the altitude is pertinent in the mountain because they contribute to adaptation planning differently. Additionally, the mainstreaming of adaptation strategies with national and regional development measures is also required. Finally, cross-sectoral resource management that combines users, planners, scientists, and policymakers should be formulated along the altitude within the district. These findings contribute to minimizing the gap between policy/program fabrication and local requirements. The evidence-based valuable knowledge for decision-makers could enable Himalayan communities to adapt to the impacts of climate change effectively. Adaptation planning is also critical for designing adaptation projects for the Green Climate Fund, Adaptation Fund, and funds from multilateral and bilateral agencies. It will facilitate Nationally Determined Contributions, which aims to adapt better to climate change by enhancing investments in development programs in vulnerable sectors