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

Periurban 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 lac...

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Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/21911
Acceso en línea:
https://doi.org/10.3390/f7070138
https://repository.urosario.edu.co/handle/10336/21911
Palabra clave:
Ingeniería sanitaria & municipal
Otras ramas de la ingeniería
Biología
Cost effectiveness
Ecology
Ecosystems In situ processing
Reforestation
Remote sensing
Vegetation
Carbon offsets
Ecosystem services
Periurban
Vegetation index
Forestry
Aboveground biomass
Carbon emission
Ecosystem service
Environmental monitoring
Image resolution
Mapping
Periurban area
Remote sensing
Vegetation
Rights
License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
title Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
spellingShingle Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
Ingeniería sanitaria & municipal
Otras ramas de la ingeniería
Biología
Cost effectiveness
Ecology
Ecosystems In situ processing
Reforestation
Remote sensing
Vegetation
Carbon offsets
Ecosystem services
Periurban
Vegetation index
Forestry
Aboveground biomass
Carbon emission
Ecosystem service
Environmental monitoring
Image resolution
Mapping
Periurban area
Remote sensing
Vegetation
title_short Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
title_full Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
title_fullStr Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
title_full_unstemmed Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
title_sort Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery
dc.subject.ddc.spa.fl_str_mv Ingeniería sanitaria & municipal
Otras ramas de la ingeniería
Biología
topic Ingeniería sanitaria & municipal
Otras ramas de la ingeniería
Biología
Cost effectiveness
Ecology
Ecosystems In situ processing
Reforestation
Remote sensing
Vegetation
Carbon offsets
Ecosystem services
Periurban
Vegetation index
Forestry
Aboveground biomass
Carbon emission
Ecosystem service
Environmental monitoring
Image resolution
Mapping
Periurban area
Remote sensing
Vegetation
dc.subject.keyword.eng.fl_str_mv Cost effectiveness
Ecology
Ecosystems In situ processing
Reforestation
Remote sensing
Vegetation
Carbon offsets
Ecosystem services
Periurban
Vegetation index
Forestry
Aboveground biomass
Carbon emission
Ecosystem service
Environmental monitoring
Image resolution
Mapping
Periurban area
Remote sensing
Vegetation
description Periurban 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.
publishDate 2016
dc.date.created.none.fl_str_mv 2016-07-09
dc.date.issued.none.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2020-05-08T00:03:35Z
dc.date.available.none.fl_str_mv 2020-05-08T00:03:35Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/f7070138
dc.identifier.issn.none.fl_str_mv 1999-4907
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/21911
url https://doi.org/10.3390/f7070138
https://repository.urosario.edu.co/handle/10336/21911
identifier_str_mv 1999-4907
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationIssue.none.fl_str_mv No. 7
dc.relation.citationTitle.none.fl_str_mv Forests
dc.relation.citationVolume.none.fl_str_mv Vol. 7
dc.relation.ispartof.spa.fl_str_mv Forests, ISSN: 1999-4907 , Vol. 7, No. 7 (Julio 2016); 17 pp.
dc.relation.uri.spa.fl_str_mv https://www.mdpi.com/1999-4907/7/7/138
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rights_invalid_str_mv Abierto (Texto Completo)
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