Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta

ilustraciones, gráficas, tablas

Autores:
Fernández Martínez, Felipe
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/79000
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/79000
https://repositorio.unal.edu.co/
Palabra clave:
630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
Reflectancia
Estimación de las existencias de carbono
Propiedades del suelo
reflectance
carbon stock assessments
soil properties
Soil organic carbon stock
Bulk density
Soil spectroscopy
NIR
Spline
Geostatistics
Stock de carbono orgánico de suelo
Densidad aparente
Espectroscopía de suelos
NIR
Spline
Geoestadística
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
id UNACIONAL2_0e5b1b4f818e69e86ea5a1d739733b19
oai_identifier_str oai:repositorio.unal.edu.co:unal/79000
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
dc.title.translated.eng.fl_str_mv Model development to determine the soil organic carbon stock based on diffuse reflectance. Case: Carimagua – Meta
title Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
spellingShingle Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
Reflectancia
Estimación de las existencias de carbono
Propiedades del suelo
reflectance
carbon stock assessments
soil properties
Soil organic carbon stock
Bulk density
Soil spectroscopy
NIR
Spline
Geostatistics
Stock de carbono orgánico de suelo
Densidad aparente
Espectroscopía de suelos
NIR
Spline
Geoestadística
title_short Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
title_full Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
title_fullStr Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
title_full_unstemmed Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
title_sort Desarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – Meta
dc.creator.fl_str_mv Fernández Martínez, Felipe
dc.contributor.advisor.spa.fl_str_mv Camacho Tamayo, Jesús Hernán
Rubiano Sanabria, Yolanda
dc.contributor.author.spa.fl_str_mv Fernández Martínez, Felipe
dc.contributor.researchgroup.spa.fl_str_mv Ingeniería de Biosistemas
dc.subject.ddc.spa.fl_str_mv 630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
topic 630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
Reflectancia
Estimación de las existencias de carbono
Propiedades del suelo
reflectance
carbon stock assessments
soil properties
Soil organic carbon stock
Bulk density
Soil spectroscopy
NIR
Spline
Geostatistics
Stock de carbono orgánico de suelo
Densidad aparente
Espectroscopía de suelos
NIR
Spline
Geoestadística
dc.subject.agrovoc.spa.fl_str_mv Reflectancia
Estimación de las existencias de carbono
Propiedades del suelo
dc.subject.agrovoc.eng.fl_str_mv reflectance
carbon stock assessments
soil properties
dc.subject.proposal.eng.fl_str_mv Soil organic carbon stock
Bulk density
Soil spectroscopy
NIR
Spline
Geostatistics
dc.subject.proposal.spa.fl_str_mv Stock de carbono orgánico de suelo
Densidad aparente
Espectroscopía de suelos
NIR
Spline
Geoestadística
description ilustraciones, gráficas, tablas
publishDate 2020
dc.date.issued.spa.fl_str_mv 2020-11-11
dc.date.accessioned.spa.fl_str_mv 2021-01-29T22:30:20Z
dc.date.available.spa.fl_str_mv 2021-01-29T22:30:20Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/79000
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.none.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/79000
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Camacho Tamayo, Jesús Hernán751ca1d6-9adc-44c7-b8e5-1d8e73dcd6a8Rubiano Sanabria, Yolanda5e8d3b909a5cb385af8df08fbac96d6cFernández Martínez, Felipe5e4cde74314706cf2e95c6e4937ad452Ingeniería de Biosistemas2021-01-29T22:30:20Z2021-01-29T22:30:20Z2020-11-11https://repositorio.unal.edu.co/handle/unal/79000Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficas, tablasEl Stock de Carbono Orgánico del Suelo (SCOS) es un aspecto determinante para evaluar la calidad en los agroecosistemas, y a su vez cumple una función fundamental en la mitigación del cambio climático. Debido a esto, es ideal monitorear el SCOS a diferentes escalas espaciales y temporales, lo cual representa una inversión de recursos difícil de satisfacer. El objetivo de esta investigación fue desarrollar un modelo con base en espectroscopía de reflectancia difusa en Infrarrojo Cercano (NIR, por sus siglas en inglés) para estimar el SCOS en un Oxisol de Colombia. Mediante una red rígida de 70 puntos en 248 ha, fueron recolectadas 313 muestras de suelo en cinco profundidades definidas de 0-10, 10-20, 20-30, 30-40 y 40-50 cm. A cada muestra se le determinó el contenido de Carbono Orgánico del Suelo (COS), Densidad Aparente (DA), fracciones texturales y porosidades por medio de metodologías convencionales de laboratorio, así como también el cálculo del SCOS. Así mismo, fueron adquiridas firmas espectrales en el rango NIR de cada muestra de suelo que, junto con los datos medidos en laboratorio, se usaron para alimentar los modelos de estimación aplicando regresión de mínimos cuadrados parciales (PLSR). Se alcanzó un modelo de alta representatividad para la estimación de SCOS (R2 = 0,93, RMSE = 2,12 tC/ha, RPD = 3,69), lo cual se corroboró con la variabilidad espacial evaluada con splines de profundidad y superficies de interpolación geoestadística. La espectroscopía de reflectancia difusa en NIR mostró ser una alternativa viable para la estimación del SCOS. (Texto tomado de la fuente).Soil Organic Carbon Stock (SOCS) is a determining factor to evaluate the quality of agroecosystems and at the same time, plays a fundamental role in mitigating climate change. This highlights the importance of monitoring SOCS at different spatial and temporal scales, which represents a high demand of resources. The aim of this research was to develop a model based on Near Infrared (NIR) diffuse reflectance spectroscopy to estimate the SOCS of a Colombian Oxisol. Using a rigid grid system of 70 points in 248 ha, 313 soil samples were collected at five defined depths of 0-10, 10-20, 20-30, 30-40 and 40-50 cm. Soil Organic Carbon (SOC), Bulk Density (BD), textural fractions and porosities were determined for each sample using conventional laboratory methodologies, as well as the SOCS calculation. Likewise, spectral signatures were acquired in the NIR range of each soil sample, and together with laboratory data, were used to build the estimation models applying Partial Least Squares Regression (PLSR). A highly representative model was obtained for the estimation of SOCS (R2 = 0.93, RMSE = 2.12 tC/ha, RPD = 3.69), which was corroborated with the spatial variability evaluated with depth splines and geostatistical interpolation surfaces. NIR diffuse reflectance spectroscopy proved to be a viable alternative for estimating SOCS.Universidad Nacional de ColombiaModelamiento del contenido de carbono de los suelos de la altillanura plana del municipio de Puerto Gaitán (Meta)Incluye anexosMaestríaMagíster en Ciencias AgrariasSuelos y aguasCiencias Agronómicasxiv, 105 páginasxiv, 105 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ciencias Agrarias - Maestría en Ciencias AgrariasUniversidad Nacional de ColombiaFacultad de Ciencias AgrariasBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materialesReflectanciaEstimación de las existencias de carbonoPropiedades del sueloreflectancecarbon stock assessmentssoil propertiesSoil organic carbon stockBulk densitySoil spectroscopyNIRSplineGeostatisticsStock de carbono orgánico de sueloDensidad aparenteEspectroscopía de suelosNIRSplineGeoestadísticaDesarrollo de modelo para determinar el stock de carbono orgánico del suelo con base en reflectancia difusa. Caso: Carimagua – MetaModel development to determine the soil organic carbon stock based on diffuse reflectance. Case: Carimagua – MetaTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMColombiaCarimaguaMetaAl-Asadi, R. A., & Mouazen, A. M. (2014). Combining frequency domain reflectometry and visible and near infrared spectroscopy for assessment of soil bulk density. Soil and Tillage Research, 135, 60–70. https://doi.org/10.1016/j.still.2013.09.002Alarcón Jiménez, M. F. (2013). Determinación de zonas de manejo agrícola basadas en el rendimiento de maíz y su relación con atributos edáficos en la altillanura plana [Universidad Nacional de Colombia]. https://repositorio.unal.edu.co/handle/unal/20706Aldana-Jague, E., Heckrath, G., Macdonald, A., van Wesemael, B., & Van Oost, K. (2016). UAS-based soil carbon mapping using VIS-NIR (480-1000 nm) multi-spectral imaging: Potential and limitations. 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Soil Biology and Biochemistry, 39(1), 224–231. https://doi.org/10.1016/j.soilbio.2006.07.010EstudiantesInvestigadoresPúblico generalORIGINAL1020780896.2020.pdf1020780896.2020.pdfTesis de Maestría en Ciencias Agrariasapplication/pdf6380465https://repositorio.unal.edu.co/bitstream/unal/79000/1/1020780896.2020.pdf5991622d5ad180ca9c7660470d9fbeadMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79000/2/license.txtcccfe52f796b7c63423298c2d3365fc6MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.unal.edu.co/bitstream/unal/79000/3/license_rdf42fd4ad1e89814f5e4a476b409eb708cMD53THUMBNAIL1020780896.2020.pdf.jpg1020780896.2020.pdf.jpgGenerated Thumbnailimage/jpeg5269https://repositorio.unal.edu.co/bitstream/unal/79000/4/1020780896.2020.pdf.jpgeaacef3148770f2e8cc280f77dbdc3f9MD54unal/79000oai:repositorio.unal.edu.co:unal/790002023-07-21 23:03:48.952Repositorio Institucional Universidad Nacional 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GVyZWNob3MgZGUgYXV0b3IgcXVlIGNvbmxsZXZlIGxhIGRpc3RyaWJ1Y2nDs24gZGUgZXN0b3MgYXJjaGl2b3MgeSBtZXRhZGF0b3MuCkFsIGhhY2VyIGNsaWMgZW4gZWwgc2lndWllbnRlIGJvdMOzbiwgdXN0ZWQgaW5kaWNhIHF1ZSBlc3TDoSBkZSBhY3VlcmRvIGNvbiBlc3RvcyB0w6lybWlub3MuCgpVTklWRVJTSURBRCBOQUNJT05BTCBERSBDT0xPTUJJQSAtIMOabHRpbWEgbW9kaWZpY2FjacOzbiAyNy8yMC8yMDIwCg==

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