Revista de Biología Tropical ISSN Impreso: 0034-7744 ISSN electrónico: 2215-2075

OAI: https://revistas.ucr.ac.cr/index.php/rbt/oai
Tree above-ground biomass allometries for carbon stocks estimation in the Caribbean mangroves in Colombia
PT 64-2 JUN 2016
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Keywords

A. germinans
above ground biomass
allometric equations
carbon
mangroves
R. mangle.
A. germinans
biomasa aérea
carbono
ecuaciones alométricas
manglar
R. mangle.

How to Cite

Yepes, A., Zapata, M., Bolivar, J., Monsalve, A., Espinosa, S. M., Sierra-Correa, P. C., & Sierra, A. (2016). Tree above-ground biomass allometries for carbon stocks estimation in the Caribbean mangroves in Colombia. Revista De Biología Tropical, 64(2), 897–911. https://doi.org/10.15517/rbt.v64i2.18141

Abstract

The distribution of carbon in "Blue Carbon" ecosystems such as mangroves is little known, when compared with the highly known terrestrial forests, despite its particular and recognized high productivity and carbon storage capacity. The objective of this study was to analyze the above ground biomass (AGB) of the species Rhizophora mangle and Avicennia germinans from the Marine Protected Area of Distrito de Manejo Integrado (DMI), Cispatá-Tinajones-La Balsa, Caribbean Colombian coast. With official authorization, we harvested and studied 30 individuals of each species, and built allometric models in order to estimate AGB. Our AGB results indicated that the studied mangrove forests of the DMI Colombian Caribbean was of 129.69 ± 20.24 Mg/ha, equivalent to 64.85 ± 10.12 MgC/ha. The DMI has an area of 8 570.9 ha in mangrove forests, and we estimated that the total carbon potential stored was about 555 795.93 Mg C. The equations generated in this study can be considered as an alternative for the assessment of carbon stocks in AGB of mangrove forests in Colombia; as other available AGB allometric models do not discriminate mangrove forests, despite being particular ecosystems. They can be used for analysis at a more detailed scale and are considered useful to determine the carbon storage potential of mangrove forests, as a country alternative to support forest conservation and emission reduction strategies. In general, the potential of carbon storage from Colombian Caribbean mangrove forests is important and could promote the country leadership of the “blue carbon” stored.

https://doi.org/10.15517/rbt.v64i2.18141
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References

Achard, F., Defries, R., Eva, H., Hansen, M., Mayaux, P., & Stibig, H. J. (2007). Pantropical monitoring of deforestation. Environmental Research Letters, 2, 1-11.

Adame, M. F., Kauffman, J. B., Medina, I., Gamboa, J. N., Torres, O., Caamal, J. P., Reza, M., & Herrera-Silveira, J. A. (2013). Carbon Stocks of Tropical Coastal Wetlands within the Karstic Landscape of the Mexican Caribbean. PLoS One, 8(2), e56569. doi:10.1371/journal.pone.0056569.

Agudelo, C. M., Bolívar, J., Polanía, J., Urrego, L. E., Yepes, A., & Sierra, A. (2014). Estructura y composición florística de los manglares de la Bahía de Cispatá (Caribe colombiano). Informe Técnico, Carbono & Bosques. Medellín.

Alongi, D. M. (2002). Present state and future of the world’s mangrove forests. Environmental Conservation, 29, 331-349.

Alongi, D. M. (2009). The Energetics of Mangrove Forests. Dordrecht, Springer.

Álvarez, E., Duque, A., Saldarriaga, J. G., Cabrera, K., De las Salas, G., Del Valle, J. I., Moreno, F., Orrego, S. A., & Rodríguez, L. (2012). Tree above-ground biomass allometries for carbon stocks estimation in the natural forests of Colombia. Forest Ecology and Management, 267, 297-308.

Aragão, L., Malhi, Y., Metcalfe, D. B., Silva-Espejo, J. E., Jiménez, E., Navarrete, D., Almeida, S., Costa, A. C. L., Salinas, N., Phillips, O. L., Anderson, L. O., Álvarez, E., Baker, T. R., Goncalvez, P. H., Huamán-Ovalle, J., Mamani Solórzano, M., Meir, P., Monteagudo, A., Patiño, S., Peñuela, M. C., Prieto, A., Quesada, C. A., Rozas Dávila, A., Rudas, A., Silva Jr., J. A., & Vásquez, R. (2009). Above- and below-ground net primary productivity across ten Amazonian forests on contrasting soils. Biogeosciences, 6, 2759-2778.

Baker, T. R., Phillips, O. L., Malhi, Y., Almeida, S., Arroyo, L., Di Fiore, A., Erwin, T., Killeen, T. J., Laurance, S. G., Laurance, W. F., Lewis, S. L., Lloyd, J., Monteagudo, A., Neill, D. A., Patino, S., Pitman, N. C .A., Silva, M., & Vasquez- Martinez, R. (2004). Variation in wood density determines spatial patterns in Amazonian forest biomass. Global Change Biology, 10, 545-562.

Brown, S. (1997). Estimating biomass and biomass change of tropical forests: A primer. Food and Agriculture Organization, Roma. FAO Forestry Paper no. 134.

Brown, B., Hall, M., Andrasko, K., Ruíz, F., Marzoli, W., Guerrero, G., Masera, O., Dushku, A., Dejong, B., & Cornell, J. (2007). Baselines for land-use change in the tropics: application to avoided deforestation projects. Mitigation and Adaptation Strategies for Global Change, 12, 1001-1026.

Canavos, G. C. (1988). Probabilidad y estadística. Aplicaciones y métodos. Virginia common wealth University. México: McGraw-Hill.

Chave, J., Andalo, C., Brown, S., Cairns, A., Chambers, J. Q., Folster, H., Fromard, F., Higuchi, N., Kira, T., Lescure, J. P., Nelson, B. W., Ogawa, H., Puig, H., Riera, B., & Yamakura, T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145, 87-9.

Clark, D. A. (2007). Detecting tropical forests responses to global climatic and atmospheric change: current challenges and a way forward. Biotropica, 39(1), 4-19.

Clark, D. A., Brown, S., Kicklighter, D. W., Chambers, J. Q., Thomlinsom, J. R., Ni, J., & Holland, E. A. (2001). Net primary production in tropical forest: an evaluation and synthesis of existing data. Ecological Applications, 11, 371-384.

Cochran, W. (2000). Técnicas del muestreo. México: Compañía Editorial Continental.

Corporación Autónoma Regional de los Valles del Sinú y del San Jorge (CVS), Corporación Nacional de Investigación y Fomento Forestal (CONIF), & Organización Internacional de Maderas (OIMIT). (2005). Plan de manejo integral de los Manglares de la Zona de Uso Sostenible del sector Estuarino de la Bahía de Cispatá, Departamento de Córdoba.

Corporación Autónoma Regional de los Valles del Sinú y del San Jorge (CVS), & Instituto Alexander von Humboldt (IAvH). (2006). Delimitación y formulación de un distrito de Manejo Integrado de los Recursos naturales (DMI) de los manglares de la bahía de Cispatá, Tinajones, La Balsa y sectores aledaños (p. 299). Montería, Colombia: Corporación Autónoma Regional de los Valles del Sinú & San Jorge (CVS)-Instituto Alexander von Humboldt (IAvH), convenio 026.

Corporación Autónoma Regional de los Valles del Sinú y del San Jorge (CVS), & Instituto de Investigaciones Marinas y Costeras (INVEMAR). (2010). Plan Integral de Manejo Distrito de Manejo Integrado (DMI) bahía de Cispatá - La Balsa - Tinajones y sectores aledaños. En G. X. Rojas y P. C. Sierra-Correa (Eds.) Serie de Publicaciones Especiales No. 18 de INVEMAR. Santa Marta.

Donato, D. C., Kauffman, B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4, 293-297.

Duke, N. C., Meynecke, J. O., Dittmann, S., Ellison, A. M., Anger, K., Berger, U., Cannicci, S., Diele, K., Ewel, K. C., Field, C. D., Koedam, N., Lee, S. Y., Marchand, C., Nordhaus, I., & Dahdouh-Guebas, F. (2007). A World Without Mangroves? Science, 317 (5834), 41-42.

Ewel, K. C., Bourgeois, J. A., Cole, T. G., & Zheng, S. (1998). Variation in environmental characteristics and vegetation in high-rainfall mangrove forests, Kosrae Micronesia. Global Ecology and Biogeography Letters, 7, 49-56.

Fatoyinbo, T. E., & Simard, M. (2013). Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM, International Journal of Remote Sensing, 34(2), 668-681.

Fatoyinbo, T. E., Simard, M., Washington-Allen, R. A., & Shugart, H. H. (2008). Landscape-scale extent, height, biomass, and carbon estimation of Mozambique’s mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data. Journal of Geophysical Research, 113, G02S06, 1-13.

Fearnside, P. M., Lashof, D. A., & Moura-Costa, P. (1999). Accounting for time in Mitigating Global Warming through land-use change and forestry. Mitigation and Adaptation Strategies for Global Change, 5(3), 239-270.

Fearnside, P. M., & Laurance, W. F. (2004). Tropical deforestation and greenhouse gas emissions. Ecological Applications, 14, 982-6.

Fromard, F., Puig, H., Mougin, E., Marty, G., Betoulle, J. L., & Cadamuro, L. (1998). Structure, above ground-biomass and dynamics of mangrove ecosystems: new data from French Guiana. Oecologia, 115(1), 39-53.

Gibbs, H. K., Brown, B., Niles, J. O., & Foley, J. A. (2007). Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters, 2, 1-13.

Gofc-Gold. (2009). Reducing greenhouse gas emissions from deforestation and degradation in developing countries: a sourcebook of methods and procedures for monitoring, measuring and reporting (GOFC-GOLD Report version COP14-2). Alberta, Canada: GOFC-GOLD Project Office, Natural Resources Canada.

Holdridge, L. R., Grenke, W., Hatheway, W. H., Liang, T., & Tosi, J. A. (1971). Forest Environments in Tropical Life Zones: A Pilot Study. Oxford, New York: Pergamon Press.

Houghton, R. A. (2005). Tropical deforestation as a source of greenhouse gas emissions. In P. Mutinho & S. Schwartzman (Eds.), Tropical Deforestation and Climate Change. Belem: IPAM.

Hutchison, J., Manica, A., Swetnam, R., Balmford, A., & Spalding, M. (2013). Predicting Global Patterns in Mangrove Forest Biomass. Conservation Letters, 7(3), 233-240.

Intergovernmental Panel on Climate Change (IPCC). 2007. Climate change: the physical science basis. Cambridge, UK: Cambridge University Press.

Jennerjahn, T. C., & Ittekkot, V. (2002). Relevance of mangroves for the production and deposition of organic matter along tropical continental margins. Naturwissenschaften, 89, 23-30.

Köhl, M., Lister, A., Scott, C., Baldauf, T., & Plugge, D. (2011). Implications of sampling design and sample size for national carbon accounting systems. Carbon Balance and Management, 6, 10.

Komiyama, A., Moriya, H., Prawiroatmodjo, S., Toma, T., & Ogino, K. (1988), Primary productivity of mangrove forest, Biologial System of Mangrove (A Report of East Indonesian Mangrove Expedition 1986, 97-117). Ehime: Ehime Univ.

Lacher, W. (1977). Ecofisiologia vegetal. España: Omega.

Lema, A. (2003). Elementos Estadísticos de Dasometría y Medición Forestal. Medellín, Colombia: SILVANO Ltda.

Lovelock, C. E., Ruess, R. W., & Feller, I. C. (2011). CO2 efflux from cleared mangrove peat. PloS one, 6, e21279.

Lugo, A. E., & Snedaker, S. C. (1974). The Ecology of Mangroves. Annual Review of Ecology and Systematics, 5(1), 39-64.

Malhi, Y., Aragão, L. E. O. C., Metcalfe, D. B., Paiva, R., Quesada, C. A., Almeida, A., Anderson, L., Brando, P., Chambers, J. Q., Da Costa, A. C. L., Hutyra, L. R., Oliveira, P., Patiño, S., Pyle, E. H., Robertson, A. L., & Texeira, L. M. (2009). Comprehensive assessment of carbon productivity, allocation and storage in three Amazonian forests. Global Change Biology, 1-20.

Malhi, Y., & Phillips, O. L. (2004). Tropical forests and global atmospheric change: a synthesis. Philosophical Transactions of the Royal Society B: Biological Sciences, 359, 549-555.

McDicken, K. G. (1997). A guide to monitoring carbon storage in forestry and agroforestry projects. Virginia, USA: Winrock International Institute for Agricultural Development, Forest Carbon Monitoring Program.

Navar, J. (2009). Biomass component equations for Latin American species and groups of species. Annals of Forest Science, 66, 208.

Olander, L. P., Gibbs, H. K., Steininger, M., Swenson, J. J., & Murray, B. C. (2008). Reference scenarios for deforestation and forest degradation in support of REDD: a review of data and methods. Environmental Research Letters, 3, 025011.1-11.

Ong, J. E., Gong, W. K., & Wong, C. H. (1981). Ecological Monitoring of the Sungai Merbok Estuarine Mangrove Ecosystem. Penang: Universiti Sains Malaysia.

Picard, N., Saint-André, L., & Henry, M. (2012). Manual for building tree volume and biomass allometric equations: from field measurement to prediction. Food and Agricultural Organization of the United Nations, Rome, and Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier.

R Development Core Team. (2010). R: A Language and Environment for Statistical Computing. Version 2.9.0 Patched. The R Foundation for Statistical Computing. Vienna, Austria. Recuperado de http://www.R-project.org

Ray, R., Ganguly, D., Chowdhury, C., Dey, M., Das, S., Dutta, M. K., Mandal, S. K., Majumder, N., De, T. K. , Mukhopadhyay, S. K., & Jana, T. K. (2010). Carbon sequestration and annual increase of carbon stock in a mangrove forest. Atmospheric Environment, 45(2011), 5016-5024.

Rivera-Monroy, V. H, Twilley, R., Medina, E., Moser, E. B., Botero, L., Francisco, A.M., & Bullard, E. (2004). Spatial variability of soil nutrients in disturbed riverine mangrove forests at different stages of regeneration in the San Juan River Estuary, Venezuela. Estuaries, 27, 44-57.

Robertson, K., & Chaparro, J. (1998). Evolución histórica del río Sinú. Cuadernos de Geografía, 7(1-2), 70-87.

Rügnitz, M. T., Chacón, M. L., & Porro, R. (2009). Guía para la Determinación de Carbono en Pequeñas Propiedades Rurales (Manual Técnico No. 11). Lima, Perú: Centro Mundial Agroflorestal (ICRAF)/Consórcio Iniciativa Amazônica (IA).

Saenger, P., & Snedaker, S. C. (1993), Pantropical trends in mangrove aboveground biomass and annual litterfall. Oecologia, 96(3), 293-299.

Sánchez-Páez, H., Ulloa-Delgado, G., & Tavera-Escobar, T. (2004). Manejo integral de manglares por comunidades locales, Caribe de Colombia (p. 335). Ministerio de Ambiente, Vivienda y Desarrollo Territorial. CONIF-OIMT.

Sánchez-Páez, H., Ulloa-Delgado, G., Tavera Escobar, H., & Gil Torres, W. (2005). Plan de manejo integral de los manglares de la zona de uso sostenible del sector estuarino de la Bahía de Cispatá departamento de Córdoba - Colombia (p. 202). Bogotá, D.C.: OIMT, CVS, CONIF, Ministerio de Ambiente, Vivienda y Desarrollo Territorial.

Sierra, C. A., Del Valle, J. I., Orrego, S. A., Moreno, F. H., Harmon, M. E., Zapata, M., Colorado, G. J., Herrera, M. A., Lara, W., Restrepo, D. E., Berrouet, L. M., Loaiza, L. M., & Benjumea, J. F. (2007). Total carbon stocks in a tropical forest landscape of the Porce region, Colombia. Forest Ecology and Management, 243, 299-309.

Soares, M. L. G., & Schaeffer-Novelli, Y. (2005). Above-ground biomass of mangrove species. I. Analysis of models. Estuarine, Coastal and Shelf Science, 65(1-2), 1-18.

Spaulding, M. D., Blasco, F., & Field, C. D. (1997). World Mangrove Atlas. Okinawa, Japan: International Society for Mangrove Ecosystem.

Walters, B. B., Rönnbäck, P., Kovacs, J., Crona, B., Hussain, S., Badola, R., Primavera, J., Barbier, E. B., & Dahdouh-Guebas, F. (2008). Ethnobiology, socio-economics and adaptive management of mangroves: A review. Aquatic Botany, 89, 220-236.

Yepes, A. P., Navarrete, D. A., Duque, A. J., Phillips, J. F., Cabrera, K. R., Álvarez, E., García, M. C., Ordoñez, M. F. (2011). Protocolo para la estimación nacional y subnacional de biomasa - carbono en Colombia. Bogotá D.C., Colombia: Instituto de Hidrología, Meteorología, y Estudios 690 Ambientales-IDEAM.

West, G. B., Brown, J. H., & Enquist, B. J. (1999). A general model for the structure and allometry of plant vascular systems. Nature, 400, 664-667.

Zianis, D. (2008). Predicting mean aboveground forest biomass and its associated variance. Forest Ecology and Management, 256(6), 1400-1407.

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