Evaluating Challenges and Opportunities to Boost Forest Productivity in the Kashmir Himalayas

Forests are vital ecosystems that sustain biodiversity, regulate climate, and support local livelihoods. However, in the Kashmir Himalayas, forest productivity faces multiple constraints, including financial limitations, population pressure, land-use changes, and political instability. This study employs expert-based assessments and the Garrett ranking method to systematically evaluate the key challenges and opportunities for improving forest resource productivity in the region. Findings reveal that financial limitations (Mean Garrett Score [MGS] 70.80; R1), increasing population pressure (MGS 68.70; R2), and political volatility (MGS 65.53; R3) are the most significant bottlenecks, driving degradation and resource depletion. However, there are opportunities in terms of technological interventions such as Geographic Information Systems (GIS), Remote Sensing (RS), and Artificial Intelligence (AI) (MGS 71.33; R1), the launch of holistic research and development projects (MGS 68.50; R2), Participatory Forest Management (PFM) (MGS 66.10; R3), and the integration of agroforestry (MGS 60.43; R4), which could neutralize the constraints and boost the overall forest productivity in this fragile Himalayan region. Cashing in on these opportunities by adopting multipronged strategies could help in ecological restoration, real-time monitoring of forest health, improving forest cover and density, protecting wildlife, and enhancing the livelihoods of forest dwellers in the region. Encouraging research collaborations among forest agencies and skill development programmes for officials provides pathways to optimize resource management, ensuring socio-economic benefits for communities. Sustainable forest management is crucial for balancing conservation and economic needs while enhancing ecological resilience. The study highlights the need for a multi-stakeholder approach, offering insights for policymakers in shaping future forestry strategies.