Spatial modeling of soil organic carbon with NIR and environmental covariates in the municipality of Villavicencio

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dc.contributor.advisorDarghan Contreras, Aquiles Enriquespa
dc.contributor.authorDiaz Garcia, Nubia Cristinaspa
dc.contributor.orcidDiaz Garcia, Nubia Cristina [0009-0006-1739-0801]spa
dc.coverage.countryColombiaspa
dc.coverage.regionVillavicenciospa
dc.date.accessioned2024-10-31T20:29:52Z
dc.date.available2024-10-31T20:29:52Z
dc.date.issued2020
dc.descriptionilustraciones, diagramas, mapas, tablasspa
dc.description.abstractSoil is the largest reservoir of organic carbon in the biosphere after the ocean. Soil organic carbon accumulation is controlled by several natural and anthropogenic factors including climate, relief, vegetation and intrinsic soil properties. The interaction between these factors significantly modifies the impact of carbon concentration in the atmosphere under the response of CO2 fluxes from the soil. Assessing soil organic carbon content (%) for large areas is costly and time consuming due to its large spatial variability. Near-infrared reflectance spectroscopy is a fast and inexpensive tool to measure this property. In the present study, spatial regression modeling of some environmental covariates was used to estimate topsoil organic carbon (0-30 cm) in the Depositional piedmont of the municipality of Villavicencio (Meta). The georeferenced field observations were cross-referenced with raster information of 15 terrain parameters, climatic data, normalized vegetation index, sand, clay and silt content and soil spectra. The exploratory analysis of the data showed positive spatial autocorrelation for the study area, so it was necessary to consider them in the modeling. Elevation, valley depth, flow direction, vegetation index, soil spectra, and sand and clay contents were the most important predictors of carbon in the study area. With this proposal, the carbon in each of the polygons was estimated, which can be useful for taking actions in those regions where soil quality is compromised (Texto tomado de la fuente).eng
dc.description.abstractEl suelo es el mayor reservorio de carbono orgánico en la biosfera después del océano. La acumulación de carbono orgánico del suelo está controlada por varios factores naturales y antropogénicos, incluidos el clima, el relieve, la vegetación y las propiedades intrínsecas del suelo. La interacción entre estos factores modifica significativamente el impacto de la concentración de carbono en la atmósfera bajo la respuesta de los flujos de CO2 del suelo. Evaluar el contenido de carbono orgánico del suelo (%) para grandes áreas es costoso y requiere mucho tiempo debido a su gran variabilidad espacial. La espectroscopia de reflectancia en el infrarrojo cercano es una herramienta rápida y económica para medir esta propiedad. En el presente estudio, se utilizó el modelado de regresión espacial de algunas covariables ambientales para estimar el carbono orgánico del suelo superficial (0-30 cm) en el Piedemonte Depositacional del municipio de Villavicencio (Meta). Las observaciones de campo georreferenciadas se cruzaron con información raster de parámetros de terreno, datos climáticos, índice de vegetación normalizado, contenido de arena, arcilla y limo y espectros de suelos. El análisis exploratorio de los datos mostró autocorrelación espacial positiva para el área de estudio, por lo que fue necesario considerarlos en la modelación. La elevación, la profundidad del valle, la dirección del flujo, el índice de vegetación, los espectros de suelos y los contenidos de arena y arcilla fueron los predictores más importantes del carbono orgánico (%) en el área de estudio. Con esta propuesta se estimó el carbono en cada uno de los puntos muestreados, lo que puede ser útil para tomar acciones en aquellas regiones donde la calidad del suelo se ve comprometida.spa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMaestria en Ciencias Agrariasspa
dc.description.researchareaSuelos y Aguasspa
dc.format.extentx, 55 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/87137
dc.language.isoengspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.facultyFacultad de Ciencias Agrariasspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ciencias Agrarias - Maestría en Ciencias Agrariasspa
dc.relation.indexedAgrosaviaspa
dc.relation.indexedAgrovocspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc630 - Agricultura y tecnologías relacionadas::639 - Caza, pesca, conservación, tecnologías relacionadasspa
dc.subject.lembCARBONOspa
dc.subject.lembCarboneng
dc.subject.lembPROPIEDADES FISICOQUIMICAS DEL SUELOspa
dc.subject.lembChemicophysical properties soileng
dc.subject.lembESPECTROSCOPIA DE REFLECTANCIA CERCANO A INFRARROJOSspa
dc.subject.lembNear infrared reflectance spectroscopyeng
dc.subject.lembCOMPOSICION DE SUELOSspa
dc.subject.lembSoils - compositioneng
dc.subject.proposalPiedemonte Deposicionalspa
dc.subject.proposalEspectroscopia de reflectancia en el infrarrojo cercanospa
dc.subject.proposalNIReng
dc.subject.proposalModelos espaciales econométricosspa
dc.subject.proposalDepositional Piedmonteng
dc.subject.proposalNear-infrared (NIR)eng
dc.subject.proposalReflectance spectroscopyeng
dc.subject.proposalEconometric spatial modelseng
dc.titleSpatial modeling of soil organic carbon with NIR and environmental covariates in the municipality of Villavicencioeng
dc.title.translatedModelación espacial del carbono orgánico del suelo con covariables NIR y ambientales en el municipio de Villavicenciospa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
dcterms.audience.professionaldevelopmentMedios de comunicaciónspa
dcterms.audience.professionaldevelopmentPúblico generalspa
dcterms.audience.professionaldevelopmentResponsables políticosspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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