Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense
Ilustraciones, tablas, gráficas
- Autores:
-
Moreno Muñoz, Angélica Sofía
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/83304
- Palabra clave:
- 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
Carbono azul
Blue carbon
Biomasa arbórea por encima del suelo
Above ground tree biomass
Biomasa sobre el suelo
Biomasa por debajo del suelo
Below ground biomass
Secuestro de carbono
Carbon sequestration
Biomasa aérea
Biomasa subterránea
Carbono orgánico del suelo
Manglares
Pacífico Colombiano
Aboveground biomass
Belowground biomass
Soil organic carbon
Mangroves
Colombian Pacific
Mangrove areas
Ecosistema marino
Marine ecosystems
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| dc.title.translated.eng.fl_str_mv |
Evaluation of blue carbon storage in the mangrove ecosystem of the Nariño Pacific |
| title |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| spellingShingle |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería Carbono azul Blue carbon Biomasa arbórea por encima del suelo Above ground tree biomass Biomasa sobre el suelo Biomasa por debajo del suelo Below ground biomass Secuestro de carbono Carbon sequestration Biomasa aérea Biomasa subterránea Carbono orgánico del suelo Manglares Pacífico Colombiano Aboveground biomass Belowground biomass Soil organic carbon Mangroves Colombian Pacific Mangrove areas Ecosistema marino Marine ecosystems |
| title_short |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| title_full |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| title_fullStr |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| title_full_unstemmed |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| title_sort |
Evaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñense |
| dc.creator.fl_str_mv |
Moreno Muñoz, Angélica Sofía |
| dc.contributor.advisor.none.fl_str_mv |
Guzmán Alvis, Ángela Inés |
| dc.contributor.author.none.fl_str_mv |
Moreno Muñoz, Angélica Sofía |
| dc.contributor.educationalvalidator.none.fl_str_mv |
Benavides Martínez, Iván Felipe |
| dc.contributor.orcid.spa.fl_str_mv |
Angélica Sofía Moreno Muñoz [0000-0002-2482-3832] |
| dc.subject.ddc.spa.fl_str_mv |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería |
| topic |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería Carbono azul Blue carbon Biomasa arbórea por encima del suelo Above ground tree biomass Biomasa sobre el suelo Biomasa por debajo del suelo Below ground biomass Secuestro de carbono Carbon sequestration Biomasa aérea Biomasa subterránea Carbono orgánico del suelo Manglares Pacífico Colombiano Aboveground biomass Belowground biomass Soil organic carbon Mangroves Colombian Pacific Mangrove areas Ecosistema marino Marine ecosystems |
| dc.subject.agrovoc.none.fl_str_mv |
Carbono azul Blue carbon Biomasa arbórea por encima del suelo Above ground tree biomass Biomasa sobre el suelo Biomasa por debajo del suelo Below ground biomass Secuestro de carbono |
| dc.subject.armarc.none.fl_str_mv |
Carbon sequestration |
| dc.subject.proposal.spa.fl_str_mv |
Biomasa aérea Biomasa subterránea Carbono orgánico del suelo Manglares Pacífico Colombiano |
| dc.subject.proposal.eng.fl_str_mv |
Aboveground biomass Belowground biomass Soil organic carbon Mangroves Colombian Pacific |
| dc.subject.unesco.none.fl_str_mv |
Mangrove areas Ecosistema marino Marine ecosystems |
| description |
Ilustraciones, tablas, gráficas |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-02-03T21:40:34Z |
| dc.date.available.none.fl_str_mv |
2023-02-03T21:40:34Z |
| dc.date.issued.none.fl_str_mv |
2023-02-02 |
| 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/83304 |
| 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.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
| url |
https://repositorio.unal.edu.co/handle/unal/83304 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 |
| dc.relation.references.spa.fl_str_mv |
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Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010). Global Biogeochemical Cycles, 34(3), no. https://doi.org/10.1029/2019GB006219 Gutíerrez, J., Ordoñez, N., Bolívar, S., Bunning, S., Guevara, M., Medina, E., Olivera, C., Olmedo, G., Sevilla, V., & Vargas, R. (2020). Estimación del carbono orgánico en los suelos de ecosistema de páramo en Colombia. Ecosistemas, 29(1), 1–10. https://doi.org/https://doi.org/10.7818/ECOS.1855 Hamilton, S. E., & Casey, D. (2016). Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21). Global Ecology and Biogeography, 25(6), 729–738. https://doi.org/10.1111/geb.12449 Hamilton, S. E., & Friess, D. A. (2018). Global carbon stocks and potential emissions due to mangrove deforestation from 2000 to 2012. Nature Climate Change, 8(3), 240–244. https://doi.org/10.1038/s41558-018-0090-4 Hamilton, S. E., Lovette, J. P., Borbor-Cordova, M. J., & Millones, M. (2017). The Carbon Holdings of Northern Ecuador’s Mangrove Forests. Annals of the American Association of Geographers, 107(1), 54–71. https://doi.org/10.1080/24694452.2016.1226160 Hengl, T., & MacMillan, R. . (2019). Predictive Soil Mapping with R. https://soilmapper.org/ Hengl, T., Nussbaum, M., Wright, M. N., Heuvelink, G. B. M., & Gräler, B. (2018). Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables. PeerJ, 2018(8). https://doi.org/10.7717/peerj.5518 Hernández-Blanco, M., Costanza, R., & Cifuentes-Jara, M. (2018). Valoración económica de los servicios ecosistémicos provistos por los manglares del Golfo de Nicoya. Conservación Internacional. Howard, J., Hoyt, S., Isensee, K., Pidgeon, E., & Telszewski, M. (2018). Coastal Blue Carbon: Methods for assessing carbon stocks and emissions factors in mangroves, tidal salt marshes, and seagrass meadows. 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Serie de Publicaciones Periódicas. Invemar. (2018). Manglares . https://hub.arcgis.com/datasets/4a14d0ccabf540e9a8934a56a2b55442/explore?layer=5&location=8.448780%2C-78.105500%2C6.00 Invemar. (2019). Servicios Ecosistémicos Marinos y Costeros de Colombia: Énfasis en Manglares Y Pastos Marinos. INVEMAR. https://aquadocs.org/handle/1834/15783 Invemar. (2020). Sistema de información para la gestión de los manglares en Colombia (SIGMA). http://sigma.invemar.org.co/inicio Invemar, Univalle, & Corponariño. (2017). Implementación de acciones que contribuyan a la rehabilitación ecológica de áreas afectadas por hidrocarburos en zona costera y piedemonte del departamento de Nariño. http://www.invemar.org.co/inicio?p_p_id=101&p_p_lifecycle=0&p_p_state=maximized&p_p_mode=view&_101_struts_action=%2Fasset_publisher%2Fview_content&_101_returnToFullPageURL=%2F&_101_assetEntryId=192196&_101_type=content&_101_urlTitle=implementacion-de-acciones-que-contribuyan-a-la-rehabilitacion-ecologica-de-areas-afectadas-por-hidrocarburos-en-zona-costera-y-piedemonte-del-departa&inheritRedirect=false Jardine, S. L., & Siikamäki, J. V. (2014). A global predictive model of carbon in mangrove soils. Environmental Research Letters, 9(10). https://doi.org/10.1088/1748-9326/9/10/104013 Jennerjahn, T. C., Gilman, E., Krauss, K. W., Lacerda, L. D., Nordhaus, I., & Wolanski, E. (2017). Mangrove ecosystems under climate change. In V. Rivera-Monroy, S. Lee, E. Kristensen, & R. Twilley (Eds.), Mangrove Ecosystems: A Global Biogeographic Perspective: Structure, Function, and Services (pp. 211–244). Springer International Publishing. https://doi.org/10.1007/978-3-319-62206-4_7/COVER Kauffman, J. B., Adame, M. F., Arifanti, V. B., Schile-Beers, L. M., Bernardino, A. F., Bhomia, R. K., Donato, D. C., Feller, I. C., Ferreira, T. O., Jesus Garcia, M. del C., MacKenzie, R. A., Megonigal, J. P., Murdiyarso, D., Simpson, L., & Hernández Trejo, H. (2020). Total ecosystem carbon stocks of mangroves across broad global environmental and physical gradients. Ecological Monographs, 90(2), 1–18. https://doi.org/10.1002/ecm.1405 Kauffman, J. B., & Donato, D. (2012). Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests. Center for International Forestry Research (CIFOR). https://doi.org/10.17528/CIFOR/003749 Kauffman, J. B., Heider, C., Norfolk, J., & Payton, F. (2014). Carbon stocks of intact mangroves and carbon emissions arising from their conversion in the Dominican Republic. Ecological Applications, 24(3), 518–527. https://doi.org/10.1890/13-0640.1 Kauffman, J., Donato, D., & Adame, M. F. (2013). Protocolo para la medición, monitoreo y reporte de la estructura, biomasa y reservas de carbono de los manglares. In Protocolo para la medición, monitoreo y reporte de la estructura, biomasa y reservas de carbono de los manglares. CIFOR. http://creativecommons.org/licenses/by-nc-nd/3.0/ Kida, M., Watanabe, I., Kinjo, K., Kondo, M., Yoshitake, S., Tomotsune, M., Iimura, Y., Umnouysin, S., Suchewaboripont, V., Poungparn, S., Ohtsuka, T., & Fujitake, N. (2021). Organic carbon stock and composition in 3.5-m core mangrove soils (Trat, Thailand). Science of The Total Environment, 801, 149682. https://doi.org/10.1016/J.SCITOTENV.2021.149682 Komiyama, A., Ong, J. E., & Poungparn, S. (2008). Allometry, biomass, and productivity of mangrove forests: A review. 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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_abf2Guzmán Alvis, Ángela Inés8c733f9c7d11c92667d587cf952caa8bMoreno Muñoz, Angélica Sofía8443ab83ffa458555a4f6ce0789ffd21Benavides Martínez, Iván FelipeAngélica Sofía Moreno Muñoz [0000-0002-2482-3832]2023-02-03T21:40:34Z2023-02-03T21:40:34Z2023-02-02https://repositorio.unal.edu.co/handle/unal/83304Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones, tablas, gráficasLos manglares representan grandes reservas de carbono, especialmente en el suelo, sin embargo, a escalas locales se necesita mejorar la precisión de sus estimaciones con muestreos en campo, permitiendo un manejo adecuado del ecosistema. Así, el objetivo fue evaluar el carbono total almacenado en el ecosistema de manglar del Pacífico nariñense. Se utilizó información de inventarios forestales en 10 sitios para determinar el carbono almacenado en la biomasa aérea (AGB) y subterránea (BWG) mediante ecuaciones alométricas y factores de conversión de biomasa a carbono. Para el carbono almacenado en el suelo (COS) se construyó un modelo Random Forest (RF) con 28 perfiles tomados a dos metros de profundidad y 18 variables predictoras. Se halló un buen ajuste del modelo RF (R2 de 0.82). El carbono total almacenado presentó una media de 359.05 ± 71.29 t ha-1 , donde la mayor contribución la tuvo el suelo (75.51%), seguida de la biomasa aérea (17.24%) y la biomasa subterránea (7.25%). Las estimaciones de COS fueron menores a las globales, sugiriendo una posible sobreestimación, debido a que los modelos globales no consideran datos ‘in situ’. Finalmente, las tres cuartas partes del carbono total almacenado en el manglar estudiado se encontraron en el suelo, coincidiendo con otros bosques de manglar y resaltando la importancia de su conservación. (Texto tomado de la fuente)Mangroves represent large reserves of carbon, especially in the soil. However, it is necessary to improve the precision of their estimates with field sampling at local scales, allowing adequate management of the ecosystem. The aim was to evaluate the total carbon stored in the mangrove ecosystem of the Nariño. Allometric equations and biomass-tocarbon conversion factors used information from forest inventories at 10 sites to determine carbon stored in aboveground (AGB) and belowground (BWG) biomass(R2 of 0.82) was found. For soil carbon stored (SOC), a Random Forest (RF) model was built with 28 profiles to 2 m depth and 18 predictor variables. A good fit of the RF model was found (R2 of 0.82). The total carbon stored presented a mean of 359.05 ± 71.29 t ha-1 , where the greatest contribution was from the soil (75.51%), followed by aboveground (17.24%) and belowground biomass (7.25%). The SOC estimates were lower than the global models, suggesting a possible overestimation because the global models do not consider 'in situ data. Finally, three-quarters of the total carbon stored in the mangrove studied was found in the soil, coinciding with other mangrove forests, and highlighting the importance of its conservation.MaestríaMagister en Ingeniería AmbientalSe utilizó información de inventarios forestales en 10 sitios para determinar el carbono almacenado en la biomasa aérea (AGB) y subterránea (BWG) mediante ecuaciones alométricas y factores de conversión de biomasa a carbono. Para el carbono almacenado en el suelo (COS) se construyó un modelo Random Forest (RF) con 28 perfiles tomados a dos metros de profundidad y 18 variables predictoras.Ingeniería.Sede Palmiraxii, 64 páginas + anexosapplication/pdfspaUniversidad Nacional de ColombiaPalmira - Ingeniería y Administración - Maestría en Ingeniería - Ingeniería AmbientalFacultad de Ingeniería y AdministraciónPalmira, Valle del Cauca, ColombiaUniversidad Nacional de Colombia - Sede Palmira620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingenieríaCarbono azulBlue carbonBiomasa arbórea por encima del sueloAbove ground tree biomassBiomasa sobre el sueloBiomasa por debajo del sueloBelow ground biomassSecuestro de carbonoCarbon sequestrationBiomasa aéreaBiomasa subterráneaCarbono orgánico del sueloManglaresPacífico ColombianoAboveground biomassBelowground biomassSoil organic carbonMangrovesColombian PacificMangrove areasEcosistema marinoMarine ecosystemsEvaluación de almacenamiento de carbono azul en el ecosistema de manglar del Pacífico nariñenseEvaluation of blue carbon storage in the mangrove ecosystem of the Nariño PacificTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMPacífico ColombianoAbatzoglou, J. 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PeerJ, 2014(1), e388. https://doi.org/10.7717/PEERJ.388/SUPP-1Dey, A., Ghosh, A., Das, S., Bhattacharyya, R., Tigga, P., Dey, A., Das, S., Bhattacharyya, · R, Tigga, · P, & Ghosh, A. (2021). Belowground Carbon Storage and Dynamics. In Soil Science: Fundamentals to Recent Advances (pp. 49–67). Springer, Singapore. https://doi.org/10.1007/978-981-16-0917-6_4Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience 2011 4:5, 4(5), 293–297. https://doi.org/10.1038/ngeo1123Ellison, J. C. (2015). Vulnerability assessment of mangroves to climate change and sea-level rise impacts. Wetlands Ecology and Management, 23(2), 115–137. https://doi.org/10.1007/S11273-014-9397-8/FIGURES/6Emadi, M., Taghizadeh-Mehrjardi, R., Cherati, A., Danesh, M., Mosavi, A., & Scholten, T. (2020). Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran. 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Remote Sensing, 12(1), 1–18. https://doi.org/10.3390/RS12010085EstudiantesPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/83304/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1085936056_2023.pdf1085936056_2023.pdfTesis de Maestría en Ingeniería Ambientalapplication/pdf2211563https://repositorio.unal.edu.co/bitstream/unal/83304/2/1085936056_2023.pdfbc58d6c7d50a08cfff2323acd47fb95cMD52THUMBNAIL1085936056_2023.pdf.jpg1085936056_2023.pdf.jpgGenerated Thumbnailimage/jpeg4636https://repositorio.unal.edu.co/bitstream/unal/83304/3/1085936056_2023.pdf.jpgdb4490d3ddd3d16c755906fabd634236MD53unal/83304oai:repositorio.unal.edu.co:unal/833042023-08-15 23:04:02.389Repositorio Institucional Universidad Nacional de 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