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Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery

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dc.creatorClerici, Nicola
dc.creatorRubiano, Kristian
dc.creatorAbd-Elrahman, Amr
dc.creatorPosada Hostettler, Juan Manuel Roberto
dc.creatorEscobedo, Francisco J
dc.creator.googleClerici, Nicolaspa
dc.creator.googleRubiano, Kristianspa
dc.creator.googleAbd-Elrahman, Amrspa
dc.creator.googlePosada Hoestettler, Juan Manuelspa
dc.creator.googleEscobedo, Francisco Jspa
dc.date.accessioned2020-05-08T00:03:35Z
dc.date.available2020-05-08T00:03:35Z
dc.date.created2016-07-09
dc.date.issued2016
dc.description.abstractPeriurban forests are key to offsetting anthropogenic carbon emissions, but they are under constant threat from urbanization. In particular, secondary Neotropical forest types in Andean periurban areas have a high potential to store carbon, but are currently poorly characterized. To address this lack of information, we developed a method to estimate periurban aboveground biomass (AGB)-a proxy for multiple ecosystem services-of secondary Andean forests near Bogotá, Colombia, based on very high resolution (VHR) GeoEye-1, Pleiades-1A imagery and field-measured plot data. Specifically, we tested a series of different pre-processing workflows to derive six vegetation indices that were regressed against in situ estimates of AGB. Overall, the coupling of linear models and the Ratio Vegetation Index produced the most satisfactory results. Atmospheric and topographic correction proved to be key in improving model fit, especially in high aerosol and rugged terrain such as the Andes. Methods and findings provide baseline AGB and carbon stock information for little studied periurban Andean secondary forests. The methodological approach can also be used for integrating limited forest monitoring plot AGB data with very high resolution imagery for cost-effective modelling of ecosystem service provision from forests, monitoring reforestation and forest cover change, and for carbon offset assessments.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.3390/f7070138
dc.identifier.issn1999-4907
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/21911
dc.language.isoengspa
dc.relation.citationIssueNo. 7
dc.relation.citationTitleForests
dc.relation.citationVolumeVol. 7
dc.relation.ispartofForests, ISSN: 1999-4907 , Vol. 7, No. 7 (Julio 2016); 17 pp.spa
dc.relation.urihttps://www.mdpi.com/1999-4907/7/7/138spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.ddcIngeniería sanitaria & municipalspa
dc.subject.ddcOtras ramas de la ingenieríaspa
dc.subject.ddcBiologíaspa
dc.subject.keywordCost effectivenesseng
dc.subject.keywordEcologyeng
dc.subject.keywordEcosystems In situ processingeng
dc.subject.keywordReforestationeng
dc.subject.keywordRemote sensingeng
dc.subject.keywordVegetationeng
dc.subject.keywordCarbon offsetseng
dc.subject.keywordEcosystem serviceseng
dc.subject.keywordPeriurbaneng
dc.subject.keywordVegetation indexeng
dc.subject.keywordForestryeng
dc.subject.keywordAboveground biomasseng
dc.subject.keywordCarbon emissioneng
dc.subject.keywordEcosystem serviceeng
dc.subject.keywordEnvironmental monitoringeng
dc.subject.keywordImage resolutioneng
dc.subject.keywordMappingeng
dc.subject.keywordPeriurban areaeng
dc.subject.keywordRemote sensingeng
dc.subject.keywordVegetationeng
dc.titleEstimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imageryspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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