Author
Listed:
- Samuel Pizarro
(Proyecto Mejoramiento del Sistema de Información Estadística Agraria y del Servicio de Información Agraria para el Desarrollo Rural del Perú (PIADER), Unidad Ejecutora de Gestión de Proyectos Sectoriales (UEGPS), Ministerio de Desarrollo Agrario y Riego del Perú, Lima 15047, Peru
Grupo de Investigación en Tecnologías Geoespaciales para la Agricultura de Precisión (GEOAP), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Amazonas, Peru)
- Dennis Ccopi
(Estación Experimental Agraria Santa Ana, Dirección De Servicios Estratégicos Agrarios, Instituto Nacional de Innovación Agraria (INIA), Carretera Saños Grande—Hualahoyo Km 8, Santa Ana, Huancayo 12006, Junín, Peru)
- Jose Otoya-Barrenechea
(Proyecto Mejoramiento del Sistema de Información Estadística Agraria y del Servicio de Información Agraria para el Desarrollo Rural del Perú (PIADER), Unidad Ejecutora de Gestión de Proyectos Sectoriales (UEGPS), Ministerio de Desarrollo Agrario y Riego del Perú, Lima 15047, Peru)
- Juan Romero-Vasquez
(Proyecto Mejoramiento del Sistema de Información Estadística Agraria y del Servicio de Información Agraria para el Desarrollo Rural del Perú (PIADER), Unidad Ejecutora de Gestión de Proyectos Sectoriales (UEGPS), Ministerio de Desarrollo Agrario y Riego del Perú, Lima 15047, Peru)
- María Tolentino-Soriano
(Proyecto Mejoramiento del Sistema de Información Estadística Agraria y del Servicio de Información Agraria para el Desarrollo Rural del Perú (PIADER), Unidad Ejecutora de Gestión de Proyectos Sectoriales (UEGPS), Ministerio de Desarrollo Agrario y Riego del Perú, Lima 15047, Peru)
- Alexander Cotrina-Sanchez
(Grupo de Investigación en Tecnologías Geoespaciales para la Agricultura de Precisión (GEOAP), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Amazonas, Peru
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen/Bolzano, Piazza Università/Universitätsplatz, 39100 Bolzano, Italy)
- Elgar Barboza
(Grupo de Investigación en Tecnologías Geoespaciales para la Agricultura de Precisión (GEOAP), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Amazonas, Peru)
Abstract
Subsistence family farming in Peru is increasingly constrained by ecosystem degradation, climate variability, and limited access to productive services, particularly where environmental exposure is high. This study develops an Agro-productive and Territorial Vulnerability Index (IVAPT) to evaluate environmental, ecosystem, and socioeconomic vulnerability of subsistence agriculture at the district level nationwide. The index integrates district-level agricultural survey data (ENA-2024) with multi-temporal MODIS NDVI series (2000–2024) and comprehensive climatic, topographic, land-cover, and accessibility indicators, processed through multivariate statistics. Three objective weighting schemes (ENTROPY, CRITIC, PCA) construct thematic sub-indices of Environmental Exposure (EnvExp), Ecosystem Condition (EcoCond), and Socioeconomic Capacity (SocioCap). Results show more than half of Peru’s 1552 districts fall within moderate to very high vulnerability, with highest concentration in the Amazon region (Loreto, Ucayali, Madre de Dios), Andean-Amazonian transitions, and highland districts (Huancavelica, Apurímac, Ayacucho, Puno) where biophysical constraints, ecosystem pressure, and socioeconomic isolation converge. Dimensional spatial complementarity EnvExp peaking on coast, EcoCond in Amazon, SocioCap in Andes demonstrates effective vulnerability reduction requires dimension-specific interventions. Despite divergent weighting schemes, spatial patterns remained consistent, validating identified hotspots. IVAPT provides a reproducible framework supporting evidence-based territorial planning and targeted investments in water infrastructure, ecosystem restoration, and climate adaptation.
Suggested Citation
Samuel Pizarro & Dennis Ccopi & Jose Otoya-Barrenechea & Juan Romero-Vasquez & María Tolentino-Soriano & Alexander Cotrina-Sanchez & Elgar Barboza, 2026.
"Agro-Environmental Vulnerability and Ecosystem Sustainability in Peruvian Family Farming: Integrating Survey Data, Spatial Modeling and Remote Sensing,"
Sustainability, MDPI, vol. 18(3), pages 1-31, January.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:3:p:1407-:d:1853179
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