Marcos Vinícius da Silva, Marcio Mesquita, Maria Beatriz Ferreira, Jhon Lennon Bezerra da Silva, Jéssica Bruna Alves da Silva, Lizandra de Barros de Sousa, Abelardo Antônio de Assunção Montenegro, Gledson Luiz Pontes de Almeida, Héliton Pandorfi, Diogo Henrique Morato de Moraes, Rilner Alves Flores, Henrique Fonseca Elias de Oliveira, Rafael Battisti, Alexsandro Claudio dos Santos Almeida, Patrícia Costa Silva, José Francisco de Oliveira-Júnior, Thieres George Freire da Silva
{"title":"拉丁美洲最大灌溉周边地区的农业影响:对萨曼巴亚河流域土地退化的影响","authors":"Marcos Vinícius da Silva, Marcio Mesquita, Maria Beatriz Ferreira, Jhon Lennon Bezerra da Silva, Jéssica Bruna Alves da Silva, Lizandra de Barros de Sousa, Abelardo Antônio de Assunção Montenegro, Gledson Luiz Pontes de Almeida, Héliton Pandorfi, Diogo Henrique Morato de Moraes, Rilner Alves Flores, Henrique Fonseca Elias de Oliveira, Rafael Battisti, Alexsandro Claudio dos Santos Almeida, Patrícia Costa Silva, José Francisco de Oliveira-Júnior, Thieres George Freire da Silva","doi":"10.1007/s12517-024-12075-3","DOIUrl":null,"url":null,"abstract":"<div><p>The increasing demand for water resources has resulted in environmental degradation and conflicting interests among diverse users. This research aimed to scrutinize the causes and repercussions of land use exploitation and degradation within the Samambaia River Basin (SRB), focusing on potential environmental impacts linked to the management of irrigated agriculture. The study encompassed the entire SRB. Adopting climatological data from 1981 to 2010, distinct dry and wet seasons in the SRB were delineated. A precise slope map has been produced based on an elevation dataset, while vegetation indices like the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) have been computed. Indices such as the Woody Vegetation Biomass Index (WVBI), Vegetation Vulnerability Index (VVI), and Land Vulnerability Index (LVI) were derived from the NDVI. The dataset underwent descriptive statistical analysis, incorporating adjustment and validation factors. The root mean square error (RMSE) values for the daily rainfall data were notably low (7.0711 and 7.9223 mm). The years 2015, 2016, and 2018 experienced heightened rainfall during the dry season, while 2015 and 2018 recorded significant rainfall in the wet season. NDWI ranged from − 0.41 to 0.24, with positive values indicating the presence of water bodies in the SRB. During the dry season, regions with denser vegetation are largely associated to areas with central pivot irrigation. The WVBI revealed intensified vegetation in the wet seasons of 2014 and 2019. The LVI during the dry season varied from moderate to very low, with limited high-risk areas predominantly along water body boundaries.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 10","pages":""},"PeriodicalIF":1.8270,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impacts of agriculture in the largest irrigated perimeter region from Latin America: effects on land degradation in the Samambaia River Basin\",\"authors\":\"Marcos Vinícius da Silva, Marcio Mesquita, Maria Beatriz Ferreira, Jhon Lennon Bezerra da Silva, Jéssica Bruna Alves da Silva, Lizandra de Barros de Sousa, Abelardo Antônio de Assunção Montenegro, Gledson Luiz Pontes de Almeida, Héliton Pandorfi, Diogo Henrique Morato de Moraes, Rilner Alves Flores, Henrique Fonseca Elias de Oliveira, Rafael Battisti, Alexsandro Claudio dos Santos Almeida, Patrícia Costa Silva, José Francisco de Oliveira-Júnior, Thieres George Freire da Silva\",\"doi\":\"10.1007/s12517-024-12075-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The increasing demand for water resources has resulted in environmental degradation and conflicting interests among diverse users. This research aimed to scrutinize the causes and repercussions of land use exploitation and degradation within the Samambaia River Basin (SRB), focusing on potential environmental impacts linked to the management of irrigated agriculture. The study encompassed the entire SRB. Adopting climatological data from 1981 to 2010, distinct dry and wet seasons in the SRB were delineated. A precise slope map has been produced based on an elevation dataset, while vegetation indices like the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) have been computed. Indices such as the Woody Vegetation Biomass Index (WVBI), Vegetation Vulnerability Index (VVI), and Land Vulnerability Index (LVI) were derived from the NDVI. The dataset underwent descriptive statistical analysis, incorporating adjustment and validation factors. The root mean square error (RMSE) values for the daily rainfall data were notably low (7.0711 and 7.9223 mm). The years 2015, 2016, and 2018 experienced heightened rainfall during the dry season, while 2015 and 2018 recorded significant rainfall in the wet season. NDWI ranged from − 0.41 to 0.24, with positive values indicating the presence of water bodies in the SRB. During the dry season, regions with denser vegetation are largely associated to areas with central pivot irrigation. The WVBI revealed intensified vegetation in the wet seasons of 2014 and 2019. 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Impacts of agriculture in the largest irrigated perimeter region from Latin America: effects on land degradation in the Samambaia River Basin
The increasing demand for water resources has resulted in environmental degradation and conflicting interests among diverse users. This research aimed to scrutinize the causes and repercussions of land use exploitation and degradation within the Samambaia River Basin (SRB), focusing on potential environmental impacts linked to the management of irrigated agriculture. The study encompassed the entire SRB. Adopting climatological data from 1981 to 2010, distinct dry and wet seasons in the SRB were delineated. A precise slope map has been produced based on an elevation dataset, while vegetation indices like the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) have been computed. Indices such as the Woody Vegetation Biomass Index (WVBI), Vegetation Vulnerability Index (VVI), and Land Vulnerability Index (LVI) were derived from the NDVI. The dataset underwent descriptive statistical analysis, incorporating adjustment and validation factors. The root mean square error (RMSE) values for the daily rainfall data were notably low (7.0711 and 7.9223 mm). The years 2015, 2016, and 2018 experienced heightened rainfall during the dry season, while 2015 and 2018 recorded significant rainfall in the wet season. NDWI ranged from − 0.41 to 0.24, with positive values indicating the presence of water bodies in the SRB. During the dry season, regions with denser vegetation are largely associated to areas with central pivot irrigation. The WVBI revealed intensified vegetation in the wet seasons of 2014 and 2019. The LVI during the dry season varied from moderate to very low, with limited high-risk areas predominantly along water body boundaries.
期刊介绍:
The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone.
Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.