Search

Forest vulnerability assessment with ground realities/ data has great implications for adaptation and management planning at local and regional scale. However, such assessments are still limited across globe including the Himalaya. In view of this, present study derived a spatial map of inherent forest vulnerability using ground based observation and information in the western Himalaya. Based on literature and data availability, we selected nine forest vulnerability indicators under four domains i.e., ecological (species richness, and NDVI), climate (temperature, rainfall), topographic (slope, aspect, elevation), disturbances (forest fragmentation) and social (population density). Analytic Hierarchy Process (AHP), which is a multi-criteria decision method, was used for weighting the vulnerability indicators. Based on AHP, forest vulnerability index (FVI) was developed using general linear model approach. The FVI index was further classified into four different categories i.e., low, medium, high and very high. The results revealed maximum (37%) forest grids under medium vulnerable profile followed by 31% (high) and 21% (low) vulnerable grids. In general, temperate and mixed forests show higher forest vulnerability in the region, whereas subtropical pine, broadleaf and subalpine forests falls under lesser vulnerable forest grids. These results exhibited that elevation (15.4%), population density (15.1%), slope (14.5%), rainfall (13.7%), forest fragmentation (12.9%), temperature (12.3), and aspect (11.4%) are the major drivers of forest vulnerability, particularly for the Himalayan region. To validate the results, we compared the developed FVI in present study with ground based FVI already generated in previous studies from the region, and found higher similarity in the assessments. The spatial forest vulnerability maps generated in the present study provides a realistic profile of vulnerable forests in Indian western Himalaya, which can be used for developing adaptation measure and management planning.

The Himalaya is often referred to as forested landscape, which provides a range of ecosystem services vital for sustaining life of billions of people. The region is recognized amongst the 35 global biodiversity hotspots for its unique and rich biodiversity. Also, the region is highly vulnerable to perturbations due to anthropogenic disturbances and climate change. Especially the forests in the region are subject to stress from such perturbations. The higher dependency of communities on forests and changing climate has impacts on structure and function of forest ecosystems. This has severe implications for forest dependent communities. Therefore, vulnerability assessment of forests is urgently needed to understand the likely consequences of these changes and responses. Such information would help in developing better management and conservation planning. Earlier studies on vulnerability assessment of forests and forest-dependent people have failed to acknowledge the importance of spatial and temporal aspects of vulnerability investigated through field based observations. Realizing this, present study focuses on forest vulnerability assessment through field based observations along an altitudinal gradient (700–3400 m) in the Indian west Himalaya. This study, for the first time, provides vulnerability assessment of community forests at local scale following integrated approach of multiple indicators across diverse domains. The vulnerability indicators have been identified through a systematic analysis and extensive review of the available literature. A total of 14 indicators in six domains (viz. forest, climate, anthropogenic, topographic, soil and management practices) were identified to assess inherent vulnerability of Community Forests (Van Panchayats) in the target region. Furthermore, Forest Vulnerability Index (FVI) was calculated by integrating the selected indicators across domains. The results revealed high vulnerability at low altitude (