En el presente estudio, el Área de Conservación Regional (ACR) Tres Cañones, está ubicado en la zona altoandina del distrito de Espinar, del departamento del Cusco, siendo la única área natural protegida de la región que protege una muestra representativa de la puna seca. El objetivo del estudio fue determinar la diversidad y el estado de conservación de los mamíferos menores pertenecientes al orden Rodentia en los diferentes ecosistemas presentes en el ACR Tres Cañones. Las evaluaciones se efectuaron en temporada de lluvias y estiaje, durante los meses de febrero, marzo, abril y junio del 2022 y diciembre del 2023, evaluando cuatro ecosistemas entre los 3500 a 5000 msnm, que comprenden: zonas de pajonal - cultivo (PC), rodales de Puya Raymondii (RP), tolar de Parastrephia sp (T), y parches de bosque de Polylepis sp (BQ). Se emplearon trampas de captura viva (Sherman), instalad...

The estimation and variation of the vegetation cover of the Amazon forest generated by anthropic activity in Huepetuhe had the purpose of estimating the loss of vegetation and the deforestation rates for an Amazon forest, the study was carried out using Landsat 8 satellite images, the treatment of the raster images was made using the ERDAS software, the images were subjected to geometric and radiometric corrections, for this purpose control points were taken on the ground, for the analysis four categories of forest degradation were established: Forest with null vegetation with presence of bare soil, forest with sparse vegetation, forest with moderate vegetation and total area of deterioration. The results from the analysis of the multispectral images and the NDVI show that compared to 2016, 30.1 ha increased in the forest category with no vegetation, 28.8 ha in forests with sparse vegeta...

The estimation and variation of the vegetation cover of the Amazon forest generated by anthropic activity in Huepetuhe had the purpose of estimating the loss of vegetation and the deforestation rates for an Amazon forest, the study was carried out using Landsat 8 satellite images, the treatment of the raster images was made using the ERDAS software, the images were subjected to geometric and radiometric corrections, for this purpose control points were taken on the ground, for the analysis four categories of forest degradation were established: Forest with null vegetation with presence of bare soil, forest with sparse vegetation, forest with moderate vegetation and total area of deterioration. The results from the analysis of the multispectral images and the NDVI show that compared to 2016, 30.1 ha increased in the forest category with no vegetation, 28.8 ha in forests with sparse vegeta...