Author
Listed:
- Alex J. Vergara
(Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Cl. Higos Urco 342, Amazonas 01001, Peru
Instituto de Investigación en Ciencia de Datos (INSCID), Universidad Nacional de Jaén (UNJ), Carretera Jaén—San Ignacio KM 24, Cajamarca 06801, Peru)
- Dennis Cieza-Tarrillo
(Instituto de Investigación en Ciencia de Datos (INSCID), Universidad Nacional de Jaén (UNJ), Carretera Jaén—San Ignacio KM 24, Cajamarca 06801, Peru
Superintendencia Nacional de Servicios de Saneamiento (SUNASS), Av. Bernardo Monteagudo 210–216, Lima 07016, Peru)
- Candy Ocaña
(Instituto de Investigación en Ciencia de Datos (INSCID), Universidad Nacional de Jaén (UNJ), Carretera Jaén—San Ignacio KM 24, Cajamarca 06801, Peru)
- Lenin Quiñonez
(Instituto de Investigación en Ciencia de Datos (INSCID), Universidad Nacional de Jaén (UNJ), Carretera Jaén—San Ignacio KM 24, Cajamarca 06801, Peru)
- Guillermo Idrogo-Vasquez
(Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Cl. Higos Urco 342, Amazonas 01001, Peru)
- Lucas D. Muñoz-Astecker
(Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Cl. Higos Urco 342, Amazonas 01001, Peru)
- Erick A. Auquiñivin-Silva
(Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Cl. Higos Urco 342, Amazonas 01001, Peru)
- Robert J. Cruzalegui
(Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Cl. Higos Urco 342, Amazonas 01001, Peru)
- Carlos I. Arbizu
(Facultad de Ingeniería y Ciencias Agrarias, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Cl. Higos Urco 342, Amazonas 01001, Peru)
Abstract
The genus Cinchona belongs to the Rubiaceae family and comprises native Peruvian tree species distributed in tropical areas. It is currently endangered due to human disturbance and overexploitation for medicinal, forestry and food uses. To date, the current and future distribution of Cinchona spp. under the climate change scenario is unknown. Here, we modeled the present and future spatial distribution of the genus Cinchona using bioclimatic, edaphic and topographic variables using the maximum entropy algorithm (MaxEnt). The results indicate that 8.08% (103,547.89 km 2 ) and 6.02% (77,163.81 km 2 ) of the surface of Peru possesses areas with high and moderate distribution probabilities, respectively, to host the genus Cinchona , distributed mainly in the departments of Cusco, Amazonas, San Martín and Cajamarca. Furthermore, according to future climate scenarios, the areas of high suitability will increase their extension for the years 2050 and 2070 by 3.65% and 3.9%, respectively. Since Peru seeks to promote the forest sector to be the other force for its development, this study can be considered as a basis for the establishment of priority zones for the conservation, restoration, reforestation and sustainable management of Cinchona spp. species in Peru.
Suggested Citation
Alex J. Vergara & Dennis Cieza-Tarrillo & Candy Ocaña & Lenin Quiñonez & Guillermo Idrogo-Vasquez & Lucas D. Muñoz-Astecker & Erick A. Auquiñivin-Silva & Robert J. Cruzalegui & Carlos I. Arbizu, 2023.
"Current and Future Spatial Distribution of the Genus Cinchona in Peru: Opportunities for Conservation in the Face of Climate Change,"
Sustainability, MDPI, vol. 15(19), pages 1-16, September.
Handle:
RePEc:gam:jsusta:v:15:y:2023:i:19:p:14109-:d:1246317
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