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dc.contributor.author
Sanchez Casanova, D.  
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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  
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Fil: Rivera García, J.. Universidad de Guadalajara; México  
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Fil: Cruz Romero, B.. Universidad de Guadalajara; México  
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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