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dc.contributor.author
Sanchez Casanova, D.
dc.contributor.author
Rivera García, J.
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Cruz Romero, B.
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Díaz Gómez, R.
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Rubio, María Cecilia
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Leal Filho, Walter
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Aguilar Rivera, Noe
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Borsari, Bruno
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de Brito, Paulo R. B.
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Andrade Guerra, Baltazar
dc.date.available
2024-12-02T11:46:17Z
dc.date.issued
2023
dc.identifier.citation
Sanchez Casanova, D.; Rivera García, J.; Cruz Romero, B.; Díaz Gómez, R.; Rubio, María Cecilia; Assessing Land Degradation (SDG 15.3) in Latin America: Western Coast of Mexico; Springer; 2023; 1-20
dc.identifier.isbn
978-3-031-16016-5
dc.identifier.uri
http://hdl.handle.net/11336/249133
dc.description.abstract
Latin American countries face extreme challenges in achieving the Sustainable Development Goals (SDGs) due to inequalities in access to information and economic resource allocation and a lack of effective political management. While Mexico is active in terms of the SDGs, the SDG related to land degradation has not been met. In 2015, Mexico ranked third in Latin America for the largest area of degraded land (47%), reducing the potential productivity of the soil, increasing arid lands, and compromising biological and/or economic productivity. This case study analyzes the Tomatlán Basin (257,915 ha) to evaluate the influence of agriculture on land degradation from 2000 to 2020 using the open-access tool Trends.Earth, which calculates trends in vegetation productivity and soil organic carbon changes using the global inputs MODIS and SoilGrids, respectively. Land cover transitions were calculated with regional inputs, and land cover maps were generated with Landsat imagery and the Dzetsaka classification tool in QGIS. The results show improvement in land conditions due to increased vegetation productivity related to ecological succession processes on 207,000 ha (80.6% of the territory), which is nine times larger than degraded territory (23,172 ha), indicating progress toward the 15.3 SDG target. The results were validated by using Google Earth Pro to identify degraded areas, achieving 92.5% accuracy. Trends.Earth is a useful tool for monitoring land degradation at different scales in countries with limited information and economic resources, allowing the identification of degraded areas so that appropriate practices and activities can be implemented.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
SDG
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SUSTAINABILITY
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LAND DEGRADATION NEUTRALITY
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INDICATORS
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Geociencias multidisciplinaria
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
Assessing Land Degradation (SDG 15.3) in Latin America: Western Coast of Mexico
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2024-11-21T12:52:08Z
dc.journal.pagination
1-20
dc.journal.pais
Suiza
dc.description.fil
Fil: Sanchez Casanova, D.. Universidad de Guadalajara; México
dc.description.fil
Fil: Rivera García, J.. Universidad de Guadalajara; México
dc.description.fil
Fil: Cruz Romero, B.. Universidad de Guadalajara; México
dc.description.fil
Fil: Díaz Gómez, R.. Universidad Nacional de La Plata; Argentina
dc.description.fil
Fil: Rubio, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/referenceworkentry/10.1007/978-3-031-16017-2_24
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-031-16017-2_24
dc.conicet.paginas
750
dc.source.titulo
SDGs in the Americas and Caribbean Region
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