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| Format: | Artículo científico |
| Langue: | en |
| Publié: |
Universidade Estadual de Maringá
2021
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| Accès en ligne: | https://www.redalyc.org/articulo.oa?id=303067924043 https://www.redalyc.org/journal/3030/303067924043/ https://www.redalyc.org/journal/3030/303067924043/html/ https://www.redalyc.org/journal/3030/303067924043/303067924043.epub https://www.redalyc.org/journal/3030/303067924043/movil |
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Table des matières:
- Temporal dynamics of soil susceptibility to erosion in semiarid watersheds Camilo Vinícius Trindade Silva Eunice Maia de Andrade Luis Cesar de Aquino Lemos Jacques Carvalho Ribeiro Hermínio Sabino de Oliveira Agrociencias Soil loss seasonality geotechnologies The intensification of anthropogenic activities on soils contributes to soil loss through erosion. Moreover, the pattern of soil loss in the Cobra River watershed, located in the semiarid region of Rio Grande do Norte, is related to the history of land use and occupation, mainly from agriculture and the red ceramic industry, as well as the climatic seasonality of the region. Thus, the objective of this work was to identify the pattern of soil loss from the Cobra River microbasin in the state of Rio Grande do Norte. For this, the following analyses were performed: a survey of land use class areas for the years 1987, 1997, 2007 and 2017 as part of the Mapbiomas project; estimation of basin soil loss for these years; and quantification of areas of erosion vulnerability classes for this period. QGIS software was used to treat georeferenced data. According to the results, the land cover classes in the rich Cobra River microbasin fluctuated over time. Potential soil loss from the watershed increased from 1987 to 2017, with an increase of approximately 20 million megagrams of potentially erodible soil. The study of soil loss in a microbasin located in the Brazilian semiarid region should consider the variation in land cover over time, climatic seasonality and anthropic activity. To this end, it is important to use geotechnology and geoprocessing techniques to conduct a more robust spatiotemporal analysis. 2021 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303067924043 https://www.redalyc.org/journal/3030/303067924043/ https://www.redalyc.org/journal/3030/303067924043/html/ https://www.redalyc.org/journal/3030/303067924043/303067924043.epub https://www.redalyc.org/journal/3030/303067924043/movil 10.4025/actasciagron.v43i1.51378 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.43