Assessing Agricultural Vulnerability to Climate Change in High-Altitude Himalayan Regions: A Composite Index Approach in Lahaul and Spiti, India

High-elevation agricultural systems face increased risks due to climate change, thus livelihood, food security, and rural areas are threatened. In this study, a region-specific Agricultural Vulnerability Index is constructed to assess the climate vulnerability of 41 panchayats in the Lahaul and Spiti district of Himachal Pradesh, India. Using a multi-dimensional framework incorporating exposure, sensitivity, and adaptive capacity across 57 indicators, the AVI scores and spatial analyses normalised agricultural vulnerability conditions. The AVI scores ranged from 0.471 to 0.553, with Langza (0.553), Sagnam (0.551), and Lalung (0.550) being considered as the most vulnerable panchayats due to climatic extremes, seasonal instability, and limited adaptive mechanisms, while the areas of Goshal (0.471) and Khangsar (0.474) showed lower vulnerability. The agricultural vulnerability shows aspects of the multidimensional framework under ecological fragility and socio-economic constraints. Identifying spatial risk patterns makes this research instrumental in evidence-based planning for climate-resilience agriculture. Such analyses accentuate the need for an integrated approach encompassing infrastructure development, policy changes, a confluence of technologies, and community participation in building adaptive capacity for mountain farming systems.

Institutions

Publication Details

Journal
Sustainability
Published
2025-11-28
DOI
https://doi.org/10.3390/su172310682
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Agricultural Vulnerability to Climate Change in High-Altitude Himalayan Regions: A Composite Index Approach in Lahaul and Spiti, India

Sustainability
Climate change impacts on agriculture
article

Assessing Agricultural Vulnerability to Climate Change in High-Altitude Himalayan Regions: A Composite Index Approach in Lahaul and Spiti, India

article en

Abstract

High-elevation agricultural systems face increased risks due to climate change, thus livelihood, food security, and rural areas are threatened. In this study, a region-specific Agricultural Vulnerability Index is constructed to assess the climate vulnerability of 41 panchayats in the Lahaul and Spiti district of Himachal Pradesh, India. Using a multi-dimensional framework incorporating exposure, sensitivity, and adaptive capacity across 57 indicators, the AVI scores and spatial analyses normalised agricultural vulnerability conditions. The AVI scores ranged from 0.471 to 0.553, with Langza (0.553), Sagnam (0.551), and Lalung (0.550) being considered as the most vulnerable panchayats due to climatic extremes, seasonal instability, and limited adaptive mechanisms, while the areas of Goshal (0.471) and Khangsar (0.474) showed lower vulnerability. The agricultural vulnerability shows aspects of the multidimensional framework under ecological fragility and socio-economic constraints. Identifying spatial risk patterns makes this research instrumental in evidence-based planning for climate-resilience agriculture. Such analyses accentuate the need for an integrated approach encompassing infrastructure development, policy changes, a confluence of technologies, and community participation in building adaptive capacity for mountain farming systems.

SustainabilityVol. 17(23)
University of Delhi (IN), IFTM University (IN), İstanbul Gelişim Üniversitesi (TR), Institute of Geographic Sciences and Natural Resources Research (CN), Istanbul University (TR)
Openalex Percentile: Top 31%
Climate change impacts on agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.