Erosión hídrica por lluvias máximas en diferentes tiempos de retorno en la subcuenca Cumbaza - Región San Martín

Abstract

Hydric erosion due to maximum rains at different times of return in the Cumbaza Sub-basin -San Martin Region

Evaluation of Soil Loss and Sediment Yield Based on GIS and Remote Sensing Techniques in a Complex Amazon Mountain Basin of Peru: Case Study Mayo River Basin, San Martin Region

“…This work utilized previous work on erosion in the Mayo river basin [28,72], since there is no other evidence and additional information on how much the soil erosion rate has changed in this watershed. Authors Gonzales and Llanos report that average erosion in the Altomayo ranges from 30,000 t/km 2 /year to 100,000 t/km 2 /year [72].…”

“…The conservation practices factor was used to express the effect of land use and cover on soil erosion. The P factor describes the changes in potential erosion through the effect of conservation practices such as terraces, contour ditches, and others [28].…”

“…In the Peruvian Amazon, the department of San Martin has a large number of forested areas [25,26], which, over the years, have lost significant areas of vegetation cover due to deforestation for agricultural activities (136,926.83 ha, representing 20%) and implementation of pastures (73,695.08 ha, representing 6.25%) [27]. This phenomenon results in increased vulnerability to water erosion processes, and consequently causes significant soil loss [28]. Some studies, such as Garcia and Camacho [29,30] conducted in similar areas (Chachapoyas and Lamas-San Martín), determined average to severe erosion rates of 300 t/ha/y and 50 t/ha/y, respectively.…”

“…This phenomenon results in increased vulnerability to water erosion processes, and consequently causes significant soil loss [28]. Some studies, such as Garcia and Camacho [29,30] conducted in similar areas (Chachapoyas and Lamas-San Martín), determined average to severe erosion rates of 300 t/ha/y and 50 t/ha/y, respectively. Soil erosion affects the environment and its natural resources, resulting in low agricultural productivity, ecological collapse, and high sedimentation [31].…”

“…Indeed, Rohit used Google Earth Engine to estimate erosion rate using combined geographic information systems and remote sensing techniques [36]. Others, such as (Elaloui et al, 2023), Garcia et al ( 2021), and Camacho-Zorogastúa and Gómez-Lora (2018) [29,30,42], used GIS and satellite imagery to understand erosion rates in watersheds with diverse climatic conditions and scarce environmental data.…”