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dc.creatorSchwartz, Naomi B.
dc.creatorUriarte, María
dc.creatorDeFries, Ruth
dc.creatorGutiérrez-Vélez, Víctor Hugo
dc.creatorPinedo-Vasquez, Miguel A.
dc.date.accessioned2021-03-19T21:54:37Z
dc.date.available2021-03-19T21:54:37Z
dc.date.issued2017-06-11
dc.identifier.citationSchwartz, N.B., Uriarte, M., DeFries., Gutiérrez-Vélez, V.H., & Pinedo-Vásquez, M. (2017). Land-use dynamics influence estimates of carbon sequestration potential in tropical second-growth forest. Environmental Research Letters, 12(7). https://doi.org/10.1088/1748-9326/aa708b.
dc.identifier.issn1748-9326
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/6220
dc.identifier.urihttp://hdl.handle.net/20.500.12613/6238
dc.description.abstractMany countries have made major commitments to carbon sequestration through reforestation under the Paris Climate Agreement, and recent studies have illustrated the potential for large amounts of carbon sequestration in tropical second-growth forests. However, carbon gains in second-growth forests are threatened by non-permanence, i.e. release of carbon into the atmosphere from clearing or disturbance. The benefits of second-growth forests require long-term persistence on the landscape, but estimates of carbon potential rarely consider the spatio-temporal landscape dynamics of second-growth forests. In this study, we used remotely sensed imagery from a landscape in the Peruvian Amazon to examine patterns of second-growth forest regrowth and permanence over 28 years (1985–2013). By 2013, 44% of all forest cover in the study area was second growth and more than 50% of second-growth forest pixels were less than 5 years old. We modeled probabilities of forest regrowth and clearing as a function of landscape factors. The amount of neighboring forest and variables related to pixel position (i.e. distance to edge) were important for predicting both clearing and regrowth. Forest age was the strongest predictor of clearing probability and suggests a threshold response of clearing probability to age. Finally, we simulated future trajectories of carbon sequestration using the parameters from our models. We compared this with the amount of biomass that would accumulate under the assumption of second-growth permanence. Estimates differed by 900 000 tonnes, equivalent to over 80% of Peru's commitment to carbon sequestration through 'community reforestation' under the Paris Agreement. Though the study area has more than 40 000 hectares of second-growth forest, only a small proportion is likely to accumulate significant carbon. Instead, cycles between forest and non-forest are common. Our results illustrate the importance of considering landscape dynamics when assessing the carbon sequestration potential of second-growth forests.
dc.format.extent11 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.relation.haspartEnvironmental Research Letters, Vol. 12, No. 7
dc.relation.isreferencedbyIOP Publishing
dc.rightsAttribution CC BY
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectSecondary forest
dc.subjectClimate change mitigation
dc.subjectLand-use dynamics
dc.subjectPeruvian Amazon
dc.subjectRemote sensing
dc.titleLand-use dynamics influence estimates of carbon sequestration potential in tropical second-growth forest
dc.typeText
dc.type.genreJournal article
dc.description.departmentGeography and Urban Studies
dc.relation.doihttps://doi.org/10.1088/1748-9326/aa708b
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Liberal Arts
dc.temple.creatorGutiérrez-Vélez, Víctor H.
refterms.dateFOA2021-03-19T21:54:37Z


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