ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Land Use Dynamics
Mapping current and future coffee suitability in Peru under climate change: implications for restoration and deforestation-free development
Jhon A. Zabaleta-Santisteban 1
Nilton B. Rojas-Briceño 2
Jhonsy O. Silva-López 3
Angel J. Medina-Medina 2
Katerin M. Tuesta-Trauco 1
Abner S. Rivera-Fernandez 1
Teodoro B. Silva-Melendez 1
Marlen A. Grandez-Alberca 1
Julio Puscan-Rojas 1
Rolando Salas López 1
MAnuel Oliva-Cruz 1
Alexander Cotrina-Sanchez 1
Darwin Gómez-Fernández 4
Elgar Barboza 1
1. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru
2. Grupo de Investigación en Ciencia de la Información Geoespacial (CIGEO), Instituto de Investigación para el Desarrollo del Perú, Universidad Nacional de Moquegua, Pacocha 18610, Peru
3. Área de cartografía y teledetección, Laboratorio de Agrostología, Instituto de Investigación en Ganadería y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru
4. Centro Experimental Yanayacu, Dirección de Servicios Estratégicos Agrarios (DSEA), Instituto Nacional de Innovación Agraria (INIA), Carretera Jaén San Ignacio KM 23.7, Jaén 06801, Peru
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Abstract
Coffee cultivation is central to rural livelihoods and Andean–Amazonian landscapes in Peru but faces increasing pressure from climate change and land-use restrictions. This study assessed the current and future ecological suitability of Coffea arabica at the national scale using a Maximum Entropy (MaxEnt) modeling framework integrating high-resolution bioclimatic, topographic, and edaphic predictors. Model performance was robust (mean AUC = 0.858). Elevation, precipitation of the driest quarter (bio17), soil nitrogen content, and bulk density were identified as the strongest determinants of habitat suitability. Under current climatic conditions, highly suitable areas cover 42,322.95 km² (3.3% of Peru), mainly along the eastern Andean slopes. Spatial exclusion scenarios revealed a pronounced funnel effect in effective land availability. While excluding protected areas resulted in moderate reductions, forest-cover exclusion—consistent with deforestation-free regulations—caused contractions exceeding 80% in several departments. Approximately 39.8% of highly suitable areas overlap with degraded lands, indicating significant opportunities for productive restoration through coffee-based agroforestry systems. Future projections under the Shared Socioeconomic Pathway 1–2.6 (SSP1–2.6) to SSP5–8.5 scenarios indicate consistent contractions of highly suitable areas (−23% to This is a provisional file, not the final typeset article −42%) and a progressive upslope shift toward higher elevations. Unsuitable areas expand by approximately 4–5% nationally. These findings provide spatially explicit evidence to support climate-smart territorial planning, restoration prioritization, and sustainable coffee development in tropical mountain systems under accelerating climate change.
Summary
Keywords
Agroclimatic suitability, Climate Change, ecological modeling, Potential distribution, SSP
Received
29 December 2025
Accepted
19 February 2026
Copyright
© 2026 Zabaleta-Santisteban, Rojas-Briceño, Silva-López, Medina-Medina, Tuesta-Trauco, Rivera-Fernandez, Silva-Melendez, Grandez-Alberca, Puscan-Rojas, Salas López, Oliva-Cruz, Cotrina-Sanchez, Gómez-Fernández and Barboza. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jhonsy O. Silva-López; Elgar Barboza
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