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Item type:Publication, Cambio de uso de tierra y su impacto en la cobertura vegetal del Parque Nacional Tingo María entre los años 2006-2021(Pontificia Universidad Católica del Perú, 2023-09-07)This article is developed with the purpose of analyzing land use changes and their impact on vegetation cover within the Protected Natural Area (PNA) Tingo María National Park (TMNP) and identifying the territorial actors and agents linked to these changes, between the years 2006 and 2021. To achieve this, qualitative methodologies have been applied, including semi-structured interviews and non-participant observation, as well as quantitative methodologies through the processing of satellite images to determine land use change rates. The results show that during the studied years, there are changes in the intervened soil cover and vegetative cover, both located in the Special Use and Buffer Zones of the National Park, which are associated with extensive agricultural practices for subsistence and local markets. Local population, organized with park managers, universities, and local and regional institutions, participate in the management of TMNP. It is concluded that, over the studied period, the coverage changes, unlike other PNAs, have not been significant as in others due to the joint actions of institutional actors and the local population that have halted the emergence of illegal and unauthorized activities that could directly impact the vegetative cover of TMNP. This represents an effective management model for a natural space that provides various ecosystem services. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Performance Comparison of SRTM v. 3.0, AW3D30, ASTER GDEM3, Copernicus and TanDEM-X for Tectonogeomorphic Analysis in the South American Andes(Elsevier B.V., 2023-07-01)Digital Elevation Models (DEMs) are widely used to assess the degree of tectonic activity in mountainous landscapes. But hardly ever have quality assessments of DEMs been carried out to assess their suitability for the calculation of the most widely used tectonogeomorphic indices. For that reason, we have analysed the five most commonly used DEMs for two tectonic basins in the Peruvian Andes. Those are the 30-m SRTM v.3.0, AW3D30, ASTER GDEM3, Copernicus and the 12-m TanDEM-X. The analysed indices are related to the characteristics of 22 drainage networks and we included a vertical accuracy assessment based on available GNSS control points. Copernicus produced the smoothest river profiles followed by AW3D30 and TanDEM-X. River profiles from the rainforest-covered Moyobamba tectonic basin were noisier than those from the more arid Huancayo tectonic basin. All DEMs performed statistically similar in the calculation of drainage basin area, θ, m/n, Ksn and the Hypsometric Integral. Copernicus and TanDEM-X generated the longest drainage networks. TanDEM-X showed the highest vertical accuracy with a RMSE of 3.174 m in the rugged Huancayo basin, and 2.172 in the Moyobamba basin, followed by AW3D30. Copernicus showed very uneven results between both tectonic basins. TanDEM-X allowed the most detailed mapping of fluvial and tectonic landforms, with the identification of six out of seven fluvial terraces, while Copernicus performed best of all 30-m DEMs. The overall best performing DEMs were Copernicus and TanDEM-X, closely followed by AW3D30. ASTER GDEM3 generally performed worst. In general, there was more statistical variability between DEMs in the more rugged Huancayo basin, suggesting that steeper slopes had a significant impact on the calculated indices. Our results provide a clear guideline for the scientific community of which DEMs to pick for the calculation of the various tectonogeomorphic indices.