Evidence map›Paper›PMID 41028802›Full record

ArticleScientific reports2025

Micro-level vulnerability assessment among agricultural communities of District Kupwara, Kashmir Himalaya.

Kaneez Fatima, Masarat Jan, Ishfaq Ahmad, Majid Farooq, Mohammad Muslim

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kaneez FatimaDepartment of Environmental Science, University of Kashmir Hazratbal, Srinagar, J&K, 190006, India.
Masarat JanDepartment of Environmental Science, University of Kashmir Hazratbal, Srinagar, J&K, 190006, India.
Ishfaq AhmadDepartment of Ecology, Environment and Remote Sensing Government of Jammu and Kashmir, SDA Colony Bemina, Srinagar, J&K, 190018, India.
Majid FarooqDepartment of Ecology, Environment and Remote Sensing Government of Jammu and Kashmir, SDA Colony Bemina, Srinagar, J&K, 190018, India.
Mohammad MuslimDepartment of Environmental Science, University of Kashmir Hazratbal, Srinagar, J&K, 190006, India. mmuslim@uok.edu.in.ORCID http://orcid.org/0000-0002-8816-8937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Livelihood and food security are pressing issues for mountain communities, particularly in the ecologically fragile and data-deficient regions of the Kashmir Himalaya. This study evaluates the inherent vulnerability of agricultural communities at the village level in Kupwara district using an indicator-based approach. A total of 356 villages were assessed using ecological and socioeconomic indicators of sensitivity, and adaptive capacity, collected from secondary sources. These indicators were standardized, weighted using Principal Component Analysis (PCA), and aggregated into composite indices for comparative analysis. Results show that 117 villages (33.14%) fall under high and 7 villages (1.96%) under very high vulnerability, while 211 villages are moderately vulnerable and over 90% of villages face moderate to high vulnerability. A comprehensive vulnerability gap and severity analysis was conducted, where the gap indicates the shortfall in adaptive capacity and severity measures potential damage. Village Hayihama emerged as highly sensitive, with a vulnerability gap of - 0.00893 and severity of 0.00312. The Kalrooch block had the highest severity, averaging a gap of - 0.00506 and severity of 0.00327. The research aims to guide policymakers by providing a robust framework to assess vulnerability, integrate risk perceptions into governance, and enhance resilience and adaptive capacity in farming communities.

Indexed as

AgricultureFood SupplyVulnerable PopulationsHumansIndiaPrincipal Component AnalysisRural PopulationSocioeconomic FactorsInherent vulnerabilityKashmir HimalayaVulnerability gapVulnerability severity

Identifiers

PMID41028802
PMCPMC12484606

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