Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types
The high-Andean vegetation ecosystems of the Bombón Plateau in Peru face increasing degradation due to aggressive anthropogenic land use and the climate change scenario. The lack of historical degradation evolution information makes implementing adaptive monitoring plans in these vulnerable ecosyste...
| Main Authors: | , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
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MDPI
2023
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| Online Access: | https://hdl.handle.net/20.500.12955/2394 https://doi.org/10.3390/su152115472 |
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| author | Cano, Deyvis Pizarro Carcausto, Samuel Edwin Cacciuttolo, Carlos Peñaloza, Richard Yaranga Cano, Raul Marino Gandini, Marcelo Luciano |
| author_browse | Cacciuttolo, Carlos Cano, Deyvis Gandini, Marcelo Luciano Peñaloza, Richard Pizarro Carcausto, Samuel Edwin Yaranga Cano, Raul Marino |
| author_facet | Cano, Deyvis Pizarro Carcausto, Samuel Edwin Cacciuttolo, Carlos Peñaloza, Richard Yaranga Cano, Raul Marino Gandini, Marcelo Luciano |
| author_sort | Cano, Deyvis |
| collection | Repositorio INIA |
| description | The high-Andean vegetation ecosystems of the Bombón Plateau in Peru face increasing degradation due to aggressive anthropogenic land use and the climate change scenario. The lack of historical degradation evolution information makes implementing adaptive monitoring plans in these vulnerable ecosystems difficult. Remote sensor technology emerges as a fundamental resource to fill this gap. The objective of this article was to analyze the degradation of vegetation in the Bombón Plateau over almost four decades (1985–2022), using high spatiotemporal resolution data from the Landsat 5, 7, and 8 sensors. The methodology considers: (i) the use of the atmosphere resistant vegetation index (ARVI), (ii) the implementation of non-parametric Mann–Kendall trend analysis per pixel, and (iii) the affected vegetation covers were determined by supervised classification. This article’s results show that approximately 13.4% of the total vegetation cover was degraded. According to vegetation cover types, bulrush was degraded by 21%, tall grass by 18%, cattails by 16%, wetlands by 14%, and puna grass by 13%. The Spearman correlation (p < 0.01) determined that degraded covers are replaced by puna grass and change factors linked with human activities. Finally, this article concludes that part of the vegetation degradation is related to anthropogenic activities such as agriculture, overgrazing, urbanization, and mining. However, the possibility that environmental factors have influenced these events is recognized. |
| format | Artículo |
| id | INIA2394 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INIA23942025-03-09T15:16:53Z Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types Cano, Deyvis Pizarro Carcausto, Samuel Edwin Cacciuttolo, Carlos Peñaloza, Richard Yaranga Cano, Raul Marino Gandini, Marcelo Luciano Degradation High-Andean vegetation ARVI Mann–Kendall Landsat 5, 7 and 8 Remote sensing https://purl.org/pe-repo/ocde/ford#4.05.00 Degradation Degradación forestal Imagery Imágenes Remote sensing Teledetección The high-Andean vegetation ecosystems of the Bombón Plateau in Peru face increasing degradation due to aggressive anthropogenic land use and the climate change scenario. The lack of historical degradation evolution information makes implementing adaptive monitoring plans in these vulnerable ecosystems difficult. Remote sensor technology emerges as a fundamental resource to fill this gap. The objective of this article was to analyze the degradation of vegetation in the Bombón Plateau over almost four decades (1985–2022), using high spatiotemporal resolution data from the Landsat 5, 7, and 8 sensors. The methodology considers: (i) the use of the atmosphere resistant vegetation index (ARVI), (ii) the implementation of non-parametric Mann–Kendall trend analysis per pixel, and (iii) the affected vegetation covers were determined by supervised classification. This article’s results show that approximately 13.4% of the total vegetation cover was degraded. According to vegetation cover types, bulrush was degraded by 21%, tall grass by 18%, cattails by 16%, wetlands by 14%, and puna grass by 13%. The Spearman correlation (p < 0.01) determined that degraded covers are replaced by puna grass and change factors linked with human activities. Finally, this article concludes that part of the vegetation degradation is related to anthropogenic activities such as agriculture, overgrazing, urbanization, and mining. However, the possibility that environmental factors have influenced these events is recognized. 2023-12-04T22:09:05Z 2023-12-04T22:09:05Z 2023-10-31 info:eu-repo/semantics/article Cano, D.; Pizarro, S.; Cacciuttolo, C.; Peñaloza, R.; Yaranga, R.; & Gandini, M. L. (2023). Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types. Sustainability, 15(21), 15472. doi: 10.3390/su152115472 2071-1050 https://hdl.handle.net/20.500.12955/2394 https://doi.org/10.3390/su152115472 eng urn:issn:2071-1050 Sustainability info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf MDPI CH Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Degradation High-Andean vegetation ARVI Mann–Kendall Landsat 5, 7 and 8 Remote sensing https://purl.org/pe-repo/ocde/ford#4.05.00 Degradation Degradación forestal Imagery Imágenes Remote sensing Teledetección Cano, Deyvis Pizarro Carcausto, Samuel Edwin Cacciuttolo, Carlos Peñaloza, Richard Yaranga Cano, Raul Marino Gandini, Marcelo Luciano Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types |
| title | Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types |
| title_full | Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types |
| title_fullStr | Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types |
| title_full_unstemmed | Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types |
| title_short | Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types |
| title_sort | study of ecosystem degradation dynamics in the peruvian highlands landsat time series trend analysis 1985 2022 with arvi for different vegetation cover types |
| topic | Degradation High-Andean vegetation ARVI Mann–Kendall Landsat 5, 7 and 8 Remote sensing https://purl.org/pe-repo/ocde/ford#4.05.00 Degradation Degradación forestal Imagery Imágenes Remote sensing Teledetección |
| url | https://hdl.handle.net/20.500.12955/2394 https://doi.org/10.3390/su152115472 |
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