Respuesta De Los Pastizales Altoandinos a La Perturbación Generada Por Extracción Mediante La Actividad De “Champeo” en Los Terrenos De La Comunidad Campesina Villa De Junín, Perú

Caro, Claudia; Sánchez, Edgar; Quinteros, Zulema; Castañeda, Liz

doi:10.21704/rea.v13i1-2.459

Cited by 5 publications

(6 citation statements)

References 3 publications

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“…In addition to being dependent on environmental factors, higher extraction than regeneration is reported (example: overgrazing and peat extraction). It means that there is overdemand and the capacity is exceeded [CARO et al 2014;COCHI-MACHACA et al 2018]. Therefore, it is necessary to conserve the wetlands to avoid depletion and degradation [MOREAU et al 2003].…”

Section: Discussionmentioning

confidence: 99%

“…The wetlands are considered to be some of the most productive ecosystems [FACCIO 2010]. However, in recent years, the anthropogenic pressure on these ecosystems has increased due to multiple factors, such as overgrazing [COCHI-MACHACA et al 2018], uncontrolled peat extraction for energy purposes [CARO et al 2014], change of land use for crops [YARANGA et al 2019] and climate change that modifies precipitation and temperature regimes [ANDERSON et al 2021]. In the long term, this could result in drying and decay of bofedales that are not hydrologically connected to lakes and glaciers [BAIKER 2020].…”

Section: Introductionmentioning

confidence: 99%

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Journal of Water and Land Development

2022

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The aboveground net primary productivity (ANPP) of bofedales is one of the most important indicators for the provision of ecosystem services in the high Andean areas. In the case of bofedales, the evaluation of the ANPP supply capacity as a service on a spatial and temporal scale through remote sensing has been little addressed. The capacity, intra and interannual, to provide the ANPP of the high Andean wetlands was quantified at a spatial and temporal level through remote sensing. The normalized difference vegetation index (NDVI) of the MODIS sensor was used according to the Monteith model (1972), product of the incident photosynthetically active radiation, fraction of the absorbed radiation, and the efficiency of using the radiation of the calibrated vegetation with dry matter sampling in the field. Results show an ANPP prediction R 2 of 0.52 (p < 0.05), with no significant spatial difference between field samples. When applying the model, the intra-annual temporary ANPP supply capacity presents a maximum average of 160.54 kg DM•ha -1 •month -1 in the rainy season (December-May) and a maximum average of 81.17 kg DM•ha -1 •month -1 in the dry season (June-October). In 2003-2020, the interannual temporary capacity presented values of 1100-1700 kg DM•ha -1 •year -1 . This makes it possible not to affect the sustainability of the wetlands and prevent their depletion and degradation. Understanding the ANPP supply capacity of bofedales can favour the efficient use of the resource and indirectly benefit its conservation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Journal of Water and Land Development

2022

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“…The analysis was carried out during the rainy 2018), drove land use change in the central Andes of Peru. In fragile ecosystems such as high Andean grasslands, they have been replaced by monocultures with high nutritional and functional demands such as Lepidium meyenii (maca) (Yaranga et al, 2014), displacing high Andean grasslands that play an important socio-economic role for livestock societies, wildlife livelihoods and important environmental services (Caro et al, 2014).…”

Section: Study Areamentioning

confidence: 99%

Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

et al. 2022

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Soil quality is usually determined by its physical-chemical characteristics without taking into account the bacterial communities that play a fundamental role in the chemical decomposition of plant nutrients. In this context, the objective of the study was to evaluate bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii cultivation under different gradients of use (first, second and third use) and crop development (pre-sowing, hypocotyl development and post-harvest). The sampling was carried out in the Bombón plateau in the central Andes of Peru, during the rainy and low water seasons, by the systematic method based on a specific pattern assigned in a geometric rectangular shape at a depth of 0 - 20 cm. The characterization of the bacterial communities was carried out through the metagenomic sequencing of the 16S rRNA. 376 families of bacteria were reported, of which it was determined that there was a significant change in bacterial composition and distribution in relation to use pressure. There were no major changes due to the development of Lepidium meyenii. The families most sensitive to use pressure and soil poverty indicators were Verrucomicrobiaceae, Acidobacteraceae and Aakkermansiaceae.

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“…Likewise, several studies developed classification approaches to map pastures and other land uses using multiple sensors, platforms and automatic classification algorithms in different regions of the world, such as in Brazil [25,31], the United States [1] and other regions [22,[44][45][46]. Despite some previous work in Peru [47][48][49][50] regarding livestock micro-watersheds, the absence of pasture maps limits the spatiotemporal analysis of pastures and their implications for territorial, economic and environmental dynamics.…”

Section: Introductionmentioning

confidence: 99%

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

Marin

Castillo

López

et al. 2022

Land

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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.

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Respuesta De Los Pastizales Altoandinos a La Perturbación Generada Por Extracción Mediante La Actividad De “Champeo” en Los Terrenos De La Comunidad Campesina Villa De Junín, Perú

Cited by 5 publications

References 3 publications

Journal of Water and Land Development

Journal of Water and Land Development

Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

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

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