Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/527
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorBonilla Bedoya, Santiago-
dc.contributor.authorHerrera, Miguel Ángel-
dc.contributor.authorVaca, Angélica-
dc.contributor.authorSalazar, Laura-
dc.contributor.authorZalakeviciute, Rasa-
dc.contributor.authorLópez Ulloah, Magdalena-
dc.contributor.authorMejía, Danilo-
dc.date.accessioned2022-05-19T15:42:53Z-
dc.date.available2022-05-19T15:42:53Z-
dc.date.issued2022-
dc.identifier.citationSantiago Bonilla-Bedoya, Miguel Ángel Herrera, Angélica Vaca, Laura Salazar, Rasa Zalakeviciute, Danilo Mejía, Magdalena López-Ulloa, Urban soil management in the strategies for adaptation to climate change of cities in the Tropical Andes, Geoderma, Volume 417, 2022, 115840, ISSN 0016-7061, https://doi.org/10.1016/j.geoderma.2022.115840.es
dc.identifier.issnhttps://doi.org/10.1016/j.geoderma.2022.115840.-
dc.identifier.urihttp://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/527-
dc.description.abstractThe unique characteristics of a city amplify the impacts of climate change; therefore, urban planning in the 21st century is challenged to apply mitigation and adaptation strategies that ensure the collective well-being. Despite advances in monitoring urban environmental change, research on the application of adaptation-oriented criteria remains a challenge in urban planning in the Global South. This study proposes to include urban land management as a criterion and timely strategy for climate change adaptation in the cities of the Tropical Andes. Here, we estimate the distribution of the soil organic carbon stock (OCS) of the city of Quito (2,815 m.a.s.l.; population 2,011,388; 197.09 km2) in the following three methodological moments: i) field/laboratory: city-wide sampling design established to collect 300 soil samples (0–15 cm) and obtain data on organic carbon (OC) concentrations in addition to 30 samples for bulk density (BD); ii) predictors: geographic, spectral and anthropogenic dimensions established from 17 co-variables; and iii) spatial modeling: simple multiple regression (SMRM) and random forest (RFM) models of organic carbon concentrations and density as well as OCS stock estimation. We found that the spatial modeling techniques were complementary; however, SMRM showed a relatively higher fit both (OC: r2 = 20%, BD: r2 = 16%) when compared to RFM (OC: r2 = 8% and BD: r2 = 5%). Thus, soil carbon stock (0–0.15 m) was estimated with a spatial variation that fluctuated between 9.89 and 21.48 kg/m2; whereas, RFM showed fluctuations between 10.38 and 17.67 kg/m2. We found that spatial predictors (topography, relative humidity, precipitation, temperature) and anthropogenic predictors (population density, roads, vehicle traffic, land cover) positively influence the model, while spatial predictors have little influence and show multicollinearity with relative humidity. Our research suggests that urban land management in the 21st century provides key information for adaptation and mitigation strategies aimed at coping with global and local climate variations in the cities of the Tropical Andes.es
dc.language.isoenes
dc.publisherScopuses
dc.relation.ispartofseriesPRODUCCIÓN CIENTÍFICA- ARTÍCULOS CIENTÍFICOS;A-IKIAM-000368-
dc.subjectClimate changees
dc.subjectVolcano citieses
dc.subjectUrban soilses
dc.subjectSoil organic carbones
dc.subjectAdaptation strategieses
dc.titleUrban soil management in the strategies for adaptation to climate change of cities in the Tropical Andeses
dc.typeArticlees
Aparece en las colecciones: ARTÍCULOS CIENTÍFICOS

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
A-IKIAM-000368.pdfUrban soil management in the strategies for adaptation to climate change of cities in the Tropical Andes185,93 kBAdobe PDFVista previa
Visualizar/Abrir


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.