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Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru)

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Listed:
  • Nilton Atalaya Marin

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Elgar Barboza

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru
    Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria (INIA), Av. La Molina 1981, Lima 15024, Peru)

  • Rolando Salas López

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Héctor V. Vásquez

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru
    Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria (INIA), Av. La Molina 1981, Lima 15024, Peru)

  • Darwin Gómez Fernández

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Renzo E. Terrones Murga

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Nilton B. Rojas Briceño

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru
    Instituto de Investigación en Ingeniería Ambiental (IIIA), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Manuel Oliva-Cruz

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Oscar Andrés Gamarra Torres

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Jhonsy O. Silva López

    (Instituto de Investigación para el Desarrollo Sostenible de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM-A), Chachapoyas 01001, Peru)

  • Efrain Turpo Cayo

    (Programa de Doctorado en Recursos Hídricos (PDRH), Universidad Nacional Agraria La Molina, Ave. La Molina, S.N., Lima 15012, Peru)

Abstract

In Peru, grasslands monitoring is essential to support public policies related to the identification, recovery and management of livestock systems. In this study, therefore, we evaluated the spatial dynamics of grasslands in Pomacochas and Ventilla micro-watersheds (Amazonas, NW Peru). To do this, we used Landsat 5, 7 and 8 images and vegetation indices (normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and soil adjusted vegetation index (SAVI). The data were processed in Google Earth Engine (GEE) platform for 1990, 2000, 2010 and 2020 through random forest (RF) classification reaching accuracies above 85%. The application of RF in GEE allowed surface mapping of grasslands with pressures higher than 85%. Interestingly, our results reported the increase of grasslands in both Pomacochas (from 2457.03 ha to 3659.37 ha) and Ventilla (from 1932.38 ha to 4056.26 ha) micro-watersheds during 1990–2020. Effectively, this study aims to provide useful information for territorial planning with potential replicability for other cattle-raising regions of the country. It could further be used to improve grassland management and promote semi-extensive livestock farming.

Suggested Citation

  • Nilton Atalaya Marin & Elgar Barboza & Rolando Salas López & Héctor V. Vásquez & Darwin Gómez Fernández & Renzo E. Terrones Murga & Nilton B. Rojas Briceño & Manuel Oliva-Cruz & Oscar Andrés Gamarra T, 2022. "Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru)," Land, MDPI, vol. 11(5), pages 1-18, May.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:674-:d:807277
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    References listed on IDEAS

    as
    1. Qiong Li & Juanle Wang & Hongquan Xie & Altansukh Ochir & Davaadorj Davaasuren, 2022. "Applicability of Grassland Production Estimation Using Remote Sensing for the Mongolian Plateau by Comparing Typical Regions in China and Mongolia," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    2. Liang Chen & Zhuguo Ma & Tianbao Zhao, 2017. "Modeling and analysis of the potential impacts on regional climate due to vegetation degradation over arid and semi-arid regions of China," Climatic Change, Springer, vol. 144(3), pages 461-473, October.
    3. Wang, Yuhui & Zhou, Guangsheng & Jia, Bingrui, 2008. "Modeling SOC and NPP responses of meadow steppe to different grazing intensities in Northeast China," Ecological Modelling, Elsevier, vol. 217(1), pages 72-78.
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