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Integrating remotely sensed fires for predicting deforestation for REDD+

dc.creatorArmenteras D.spa
dc.creatorGibbes C.spa
dc.creatorAnaya J.A.spa
dc.creatorDávalos L.M.spa
dc.date.accessioned2017-12-19T19:36:49Z
dc.date.available2017-12-19T19:36:49Z
dc.date.created2017
dc.identifier.issn19395582
dc.identifier.urihttp://hdl.handle.net/11407/4340
dc.descriptionFire is an important tool in tropical forest management, as it alters forest composition, structure, and the carbon budget. The United Nations program on Reducing Emissions from Deforestation and Forest Degradation (REDD+) aims to sustainably manage forests, as well as to conserve and enhance their carbon stocks. Despite the crucial role of fire management, decision-making on REDD+ interventions fails to systematically include fires. Here, we address this critical knowledge gap in two ways. First, we review REDD+ projects and programs to assess the inclusion of fires in monitoring, reporting, and verification (MRV) systems. Second, we model the relationship between fire and forest for a pilot site in Colombia using near-real-time (NRT) fire monitoring data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). The literature review revealed fire remains to be incorporated as a key component of MRV systems. Spatially explicit modeling of land use change showed the probability of deforestation declined sharply with increasing distance to the nearest fire the preceding year (multi-year model area under the curve [AUC] 0.82). Deforestation predictions based on the model performed better than the official REDD early-warning system. The model AUC for 2013 and 2014 was 0.81, compared to 0.52 for the early-warning system in 2013 and 0.68 in 2014. This demonstrates NRT fire monitoring is a powerful tool to predict sites of forest deforestation. Applying new, publicly available, and open-access NRT fire data should be an essential element of early-warning systems to detect and prevent deforestation. Our results provide tools for improving both the current MRV systems, and the deforestation early-warning system in Colombia. © 2017 by the Ecological Society of America.eng
dc.language.isoeng
dc.publisherEcological Society of Americaspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020207873&doi=10.1002%2feap.1522&partnerID=40&md5=039df2d0f4b1711de1cc46189d0505f5spa
dc.sourceScopusspa
dc.titleIntegrating remotely sensed fires for predicting deforestation for REDD+spa
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Ambientalspa
dc.contributor.affiliationArmenteras, D., Grupo de Ecología Del Paisaje y Modelación de Ecosistemas ECOLMOD, Departamento de Biología, Facultad de Ciencias, Universidad Nacional de Colombia, Edificio 421 Cra 30 # 45-03, Bogotá, Colombiaspa
dc.contributor.affiliationGibbes, C., Department of Geography and Environmental Studies, University of Colorado, Colorado Springs, CO, United Statesspa
dc.contributor.affiliationAnaya, J.A., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 Nro. 30-65, Medellín, Colombiaspa
dc.contributor.affiliationDávalos, L.M., Department of Ecology and Evolution and Consortium for Interdisciplinary Environmental Research, Stony Brook University, Stony Brook, NY, United Statesspa
dc.identifier.doi10.1002/eap.1522
dc.subject.keywordedgeeng
dc.subject.keywordfireeng
dc.subject.keywordforest losseng
dc.subject.keywordmodelingeng
dc.subject.keywordModerate Resolution Imaging Spectroradiometereng
dc.subject.keywordmonitoringeng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.creator.affiliationGrupo de Ecología Del Paisaje y Modelación de Ecosistemas ECOLMOD, Departamento de Biología, Facultad de Ciencias, Universidad Nacional de Colombia, Edificio 421 Cra 30 # 45-03, Bogotá, Colombiaspa
dc.creator.affiliationDepartment of Geography and Environmental Studies, University of Colorado, Colorado Springs, CO, United Statesspa
dc.creator.affiliationFacultad de Ingenierías, Universidad de Medellín, Carrera 87 Nro. 30-65, Medellín, Colombiaspa
dc.creator.affiliationDepartment of Ecology and Evolution and Consortium for Interdisciplinary Environmental Research, Stony Brook University, Stony Brook, NY, United Statesspa
dc.relation.ispartofesEcological Applicationsspa
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellínspa


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