Modelo para la gestión del riesgo fitosanitario basado en herramientas agroclimatológicas en sistemas de producción de arroz tecnificado en Colombia

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dc.contributor.advisorDíaz Almanza, Eliecer David
dc.contributor.advisorRamírez Gil, Joaquín Guillermo
dc.contributor.authorRodríguez Almonacid, Deidy Viviana
dc.contributor.cvlacRodríguez Almonacid, Deidy Viviana [0001675068]
dc.contributor.orcidRodríguez Almonacid, Deidy Viviana [0009000123862944]
dc.contributor.researchgateRodríguez Almonacid, Deidy Vivian [hdr_xprf]
dc.coverage.countryColombia
dc.date.accessioned2025-09-18T17:43:56Z
dc.date.available2025-09-18T17:43:56Z
dc.date.issued2025
dc.descriptionilustraciones (principalmente a color), diagramas, fotografías, mapasspa
dc.description.abstractEl cultivo de arroz es uno de los sistemas de producción más importantes para la seguridad alimentaria de Colombia y actúa como un factor dinamizador de la economía rural. Uno de los factores que más impacta el rendimiento y los costos de producción son las enfermedades que pueden ocasionar pérdidas superiores al 25% y bajo condiciones extremas asociada a fenómenos conducentes hasta el 80%. Las dinámicas espaciotemporales de las enfermedades están modeladas en gran parte por las variables climáticas. Actualmente existen relaciones aún desconocidas, por lo que hay que explorar y entender el papel asociado entre el clima y las enfermedades en plantas, acompañadas de la gestión oportuna de los datos como base para tomar decisiones basadas en evidencia. Por lo anterior, la hipótesis del presente trabajo fue que la variación de las variables climáticas actúa como un factor de cambio en la dinámica de las patologías en el cultivo de arroz a escala meso (región). Para esto, el objetivo general del presente estudio es: Desarrollar un modelo de gestión del riesgo fitosanitario que considera las herramientas agroclimatológicas en sistemas de producción de arroz tecnificado en una zona productora de Colombia. Para el cumplimiento de dicho objetivo se ha propuesto una serie de herramientas avanzadas de ciencia de datos, métodos robustos de análisis como la determinación de zonas homólogas climáticas, modelación de la distribución espacial usando modelos de nicho ecológico, y análisis de riesgo de brotes epidemiológicos. Los resultados encontrados se dividen en dos capítulos: el primero se asoció a la aplicación de una metodología detallada paso a paso de la ciencia de datos para la gestión de datos climáticos y epidemiológicos; por otra parte, en el segundo se realizó una aproximación meso (región) al riesgo espaciotemporal de las enfermedades más importantes del cultivo del arroz en Colombia con base en variables de clima como factores de cambio. Este trabajo presenta un avance significado e innovador en la gestión de datos climáticos espaciotemporales y epidemiológicos como herramienta que ayude a la toma de decisiones basadas en evidencias Agroclimáticas. (Texto tomado de la fuente)spa
dc.description.abstractRice cultivation is one of the most important production systems for food security in Colombia, and acts as a driving force in the rural economy. One of the factors that has the greatest impact on yield and production costs is disease, which can cause losses of more than 25% and under very extreme conditions up to 80%. The spatial-temporal dynamics of diseases are related to climatic variables; however, there is currently much knowledge to be developed associated with the relationship between climatological and epidemiological variables, together with the timely management of data, as a basis for evidence-based decision making. Therefore, the hypothesis of this work is based on the fact that the variation of climatic variables act as a factor of change in the dynamics of pathologies in rice crops at meso scale (region). Therefore, the hypothesis of the work is that climatic variables act as a factor of change in the dynamics of pathologies in rice cultivation on a meso-scale (region). For this reason, the general objective of this study is: To develop a phytosanitary risk management model considering agroclimatological tools in technified rice production systems in a production area of Colombia. A series of advanced data science tools, robust analysis methods such as the determination of climatic homologous zones, spatial distribution modelling using ecological niche models, and epidemiological outbreak risk analysis have been proposed to fulfil this objective. The results found in this work are divided into two chapters: the first was associated with the application of a detailed step-by-step data science methodology for climate and epidemiological data management; for the second chapter, a meso (region) approach to the spatio-temporal risk of the most important diseases of rice cultivation in Colombia was made based on climate variables as drivers of change. This work presents a significant and innovative advance in the management of spatio-temporal climatic and epidemiological data as a tool to help decision-making based on agro-climatic evidence.eng
dc.description.curricularareaGeociencias.Sede Bogotá
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Ciencias - Meteorología
dc.description.researchareaAgroclimatología
dc.format.extent170 páginas
dc.format.mimetypeapplication/pdf
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/88914
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.publisher.facultyFacultad de Ciencias
dc.publisher.placeBogotá, Colombia
dc.publisher.programBogotá - Ciencias - Maestría en Ciencias - Meteorología
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.armarcRice -- Effect of climate on
dc.subject.bneArroz -- Efectos del climaspa
dc.subject.bneClimatología agrícola -- Investigación -- Colombiaspa
dc.subject.bneCrops and climate -- Researcheng
dc.subject.bnePlantas -- Efectos del climaspa
dc.subject.bneVegetation and climateeng
dc.subject.bneMeteorología agrícolaspa
dc.subject.bneMeteorology, Agriculturaleng
dc.subject.bnePérdidas de cosechasspa
dc.subject.bneCrop losseseng
dc.subject.ddc550 - Ciencias de la tierra::551 - Geología, hidrología, meteorología
dc.subject.ddc630 - Agricultura y tecnologías relacionadas::633 - Cultivos de campo y de plantación
dc.subject.ddc630 - Agricultura y tecnologías relacionadas
dc.subject.lembArroz -- Cultivospa
dc.subject.lembRice -- Harvestingeng
dc.subject.lembArroz -- Enfermedades y plagasspa
dc.subject.lembRice -- Diseases and pestseng
dc.subject.proposalGestión de datosspa
dc.subject.proposalClustering climáticospa
dc.subject.proposalHerramientas de visualizaciónspa
dc.subject.proposalEpidemiologíaspa
dc.subject.proposalEscalasspa
dc.subject.proposalIdoneidadspa
dc.subject.proposalCiencias de datosspa
dc.subject.proposalData managementeng
dc.subject.proposalClimate clusteringeng
dc.subject.proposalVisualisation toolseng
dc.subject.proposalEpidemiologyeng
dc.subject.proposalScaleseng
dc.subject.proposalSuitabilityeng
dc.subject.proposalData scienceeng
dc.subject.wikidataVariabilidad climáticaspa
dc.subject.wikidataClimate variabilityeng
dc.titleModelo para la gestión del riesgo fitosanitario basado en herramientas agroclimatológicas en sistemas de producción de arroz tecnificado en Colombiaspa
dc.title.translatedModel for phytosanitary risk management based on agroclimatological tools in technical rice production systems in Colombiaeng
dc.typeTrabajo de grado - Maestría
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dcterms.audience.professionaldevelopmentEstudiantes
dcterms.audience.professionaldevelopmentInvestigadores
dcterms.audience.professionaldevelopmentPúblico general
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2

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