Integrating remotely sensed fires for predicting deforestation for REDD+

Fire 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...

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Fecha de publicación:: 2017

Institución:: Universidad de Medellín

Repositorio:: Repositorio UDEM

Idioma:: eng

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repository_id_str
dc.title.spa.fl_str_mv	Integrating remotely sensed fires for predicting deforestation for REDD+
title	Integrating remotely sensed fires for predicting deforestation for REDD+
spellingShingle	Integrating remotely sensed fires for predicting deforestation for REDD+ edge fire forest loss modeling Moderate Resolution Imaging Spectroradiometer monitoring
title_short	Integrating remotely sensed fires for predicting deforestation for REDD+
title_full	Integrating remotely sensed fires for predicting deforestation for REDD+
title_fullStr	Integrating remotely sensed fires for predicting deforestation for REDD+
title_full_unstemmed	Integrating remotely sensed fires for predicting deforestation for REDD+
title_sort	Integrating remotely sensed fires for predicting deforestation for REDD+
dc.contributor.affiliation.spa.fl_str_mv	Armenteras, 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, Colombia Gibbes, C., Department of Geography and Environmental Studies, University of Colorado, Colorado Springs, CO, United States Anaya, J.A., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 Nro. 30-65, Medellín, Colombia Dávalos, L.M., Department of Ecology and Evolution and Consortium for Interdisciplinary Environmental Research, Stony Brook University, Stony Brook, NY, United States
dc.subject.keyword.eng.fl_str_mv	edge fire forest loss modeling Moderate Resolution Imaging Spectroradiometer monitoring
topic	edge fire forest loss modeling Moderate Resolution Imaging Spectroradiometer monitoring
description	Fire 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.
publishDate	2017
dc.date.accessioned.none.fl_str_mv	2017-12-19T19:36:49Z
dc.date.available.none.fl_str_mv	2017-12-19T19:36:49Z
dc.date.created.none.fl_str_mv	2017
dc.type.eng.fl_str_mv	Article
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dc.identifier.issn.none.fl_str_mv	19395582
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/11407/4340
dc.identifier.doi.none.fl_str_mv	10.1002/eap.1522
dc.identifier.reponame.spa.fl_str_mv	reponame:Repositorio Institucional Universidad de Medellín
dc.identifier.instname.spa.fl_str_mv	instname:Universidad de Medellín
identifier_str_mv	19395582 10.1002/eap.1522 reponame:Repositorio Institucional Universidad de Medellín instname:Universidad de Medellín
url	http://hdl.handle.net/11407/4340
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language	eng
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dc.relation.ispartofes.spa.fl_str_mv	Ecological Applications
dc.relation.references.spa.fl_str_mv	Alencar, A.A., Brando, P.M., Asner, G.P., Putz, F.E., Ca, S., Df, B., Ambiental, P., Ecology, G., Landscape fragmentation, severe drought, and the new Amazon forest fire regime (2015) Ecological Applications, 25, pp. 1493-1505 Aragao, L.E., Malhi, Y., Barbier, N., Lima, A., Shimabukuro, Y., Anderson, L., Saatchi, S.O.C., Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia (2008) Philosophical Transactions of the Royal Society B, 363, pp. 1779-1785 Aragao, L.E., Shimabukuro, Y.E.O.C., The incidence of fire in Amazonian forests with implications for REDD (2010) Science, 328, pp. 1275-1278 Ariza, E., Ramirez, M., Vega, L., (1998) Atlas Cultural de la Amazonia Colombiana: La Construccion Del Territorio en El Siglo XX, , Instituto Colombiano de Antropologia, Bogota, D. C., Colombia Armenteras, D., Gonzalez, T.M., Retana, J., Forest fragmentation and edge influence on fire occurrence and intensity under different management types in Amazon forests (2013) Biological Conservation, 159, pp. 73-79 Armenteras, D., Rodriguez, N., Retana, J., Landscape dynamics in Northwestern Amazonia: An assessment of pastures, fire and illicit crops as drivers of tropical deforestation (2013) PLoS ONE, 8, p. e54310 Balch, J.K., The susceptibility of Southeastern Amazon forests to fire: Insights from a large-scale burn experiment (2015) BioScience, 65, pp. 893-905 Barlow, J., Peres, C.A., Fire-mediated dieback and compositional cascade in an Amazonian forest (2008) Philosophical Transactions of the Royal Society B, 363, pp. 1787-1794 Barlow, J., Parry, L., Gardner, T.A., Ferreira, J., Aragao, L.E.O.C., Carmenta, R., Berenguer, E., Cochrane, M.A., The critical importance of considering fire in REDD+ programs (2012) Biological Conservation, 154, pp. 1-8 Besag, J., Kooperberg, C., On conditional and intrinsic autoregressions (1995) Biometrika, 82, pp. 733-746 Bowman, D.M., Murphy, B.P.J.S., Australia-a model system for the development of pyrogeography (2011) Fire Ecology, 7, pp. 5-12 Bowman, D.M.J.S., Fire in the earth system (2009) Science, 324, pp. 481-484 Brando, P.M., Abrupt increases in Amazonian tree mortality due to drought-fire interactions (2014) Proceedings of the National Academy of Sciences USA, 111, pp. 6347-6352 Chen, Y., Morton, D.C., Jin, Y., Collatz, G.J., Kasibhatla, P.S., Der Van Werf, G.R., DeFries, R.S., Randerson, J.T., Long-term trends and interannual variability of forest, savanna and agricultural fires in South America (2013) Carbon Management, 4, pp. 617-638 Cochrane, M.A., Fire science for rainforests (2003) Nature, 421, pp. 913-918 Cochrane, M., (2009) Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics, , Springer-Verlag, Berlin Heidelberg Cochrane, M.A., Laurance, W.F., Fire as a large-scale edge effect in Amazonian forests (2002) Journal of Tropical Ecology, 18, pp. 311-325 Cochrane, M.A., Alencar, A., Schulze, M.D., Positive feedbacks in the fire dynamic of closed canopy tropical forests (1999) Science, 284, pp. 1832-1835 Cochrane, M.A., Schulze, M.D., Fire as a recurrent event in tropical forests of the eastern Amazon: Effects on forest structure, biomass, and species composition (1999) Biotropica, 31, pp. 2-16 Davalos, L.M., Bejarano, A.C., Hall, M.A., Correa, H.L., Corthals, A., Espejo, O.J., Forests and drugs: Coca-driven deforestation in tropical biodiversity hotspots (2011) Environmental Science & Technology, 45, pp. 1219-1227 Davalos, L.M., Holmes, J.S., Rodriguez, N., Armenteras, D., Demand for beef is unrelated to pasture expansion in northwestern Amazonia (2014) Biological Conservation, 170, pp. 64-73 Fearnside, P.M., Deforestation in Brazilian Amazonia: History, rates, and consequences (2005) Conservation Biology, 19, pp. 680-688 Giglio, L., Descloitres, J., Justice, C.O., Kaufman, Y.J., An enhanced contextual fire detection algorithm for MODIS (2003) Remote Sensing of Environment, 87, pp. 273-282 Giglio, L., Schroeder, W., Justice, C.O., The collection 6 MODIS active fire detection algorithm and fire products (2016) Remote Sensing of Environment, 178, pp. 31-41 Giglio, L., Der Van Werf, G.R., Randerson, J.T., Collatz, G.J., Kasibhatla, P., Global estimation of burned area using MODIS active fire observations (2006) Atmospheric Chemistry and Physics, 6, pp. 957-974 Hanley, J.A., McNeil, B.J., The meaning and use of the area under a receiver operating characteristic (ROC) curve (1982) Radiology, 143, pp. 29-36 Hansen, M.C., Stehman, S.V., Potapov, P.V., Quantification of global gross forest cover loss (2010) Proceedings of the National Academy of Sciences USA, 107, pp. 8650-8655 Houghton, R.A., Carbon emissions and the drivers of deforestation and forest degradation in the tropics (2012) Current Opinion in Environmental Sustainability, 4, pp. 597-603 Houghton, R.A., Skole, D.L., Nobre, C.A., Hackler, J.L., Lawrence, K.T., Chomentowski, W.H., Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon (2000) Nature, 403, pp. 301-304 (2013) AT-Deforestacion: Sistema de Monitoreo de Bosques y Carbono para Colombia, Primer y Segundo Trimestre Del 2013, , IDEAM. Reporte de alertas tempranas de deforestacion para Colombia. No. 01, 02., IDEAM, Colombia (2014) AT-Deforestacion: Sistema de Monitoreo de Bosques y Carbono para Colombia, , IDEAM. Segundo semestre del 2014, reporte de alertas tempranas de deforestacion para Colombia, No. 04, IDEAM, Colombia Kass, R., Raftery, A., Bayes factors (1995) Journal of the American Statistical Association, 90, pp. 773-795 Lopez-Raton, M., Rodriguez-Alvarez, M.X., Suarez, C.C., Sampedro, F.G., OptimalCutpoints: An R package for selecting optimal cutpoints in diagnostic tests (2014) Journal of Statistical Software, 61, pp. 1-36 Morton, D.C., DeFries, R.S., Randerson, J.T., Giglio, L., Schroeder, W., Der Van Werf, G.R., Agricultural intensification increases deforestation fire activity in Amazonia (2008) Global Change Biology, 14, pp. 2262-2275 Morton, D.C., Le Page, Y., DeFries, R., Collatz, G.J., Hurtt, G.C., Understorey fire frequency and the fate of burned forests in southern Amazonia (2013) Philosophical Transactions of the Royal Society B, 368, p. 20120163 Morton, D.C., Shimabukuro, Y.E., Rudorff, B.F.T., Freitas, R.M., DeFries, R.S., Conservation challenge at the agricultural frontier: Deforestation, fire, and land use dynamics in Mato Grosso Desafios para conservacao nas areas de fronteiras agricolas: Ica do uso da terra no Mato Grosso (2007) Revista Ambiente e Agua, 2, pp. 5-20 Muller, D., Suess, S., Hoffmann, A.A., Buchholz, G., The value of satellite-based active fire data for monitoring, reporting and verification of REDD+ in the Lao PDR (2013) Human Ecology, 41, pp. 7-20 (2016) Veredas de Colombia, , OCHA Colombia, DANE, Esri Colombia, Unidad para las Victimas, Defensoria del Pueblo, Departamento para la prosperidad Social, Consejeria DDHH Presidencia de la Republica, Unidad Administrativa para la Consolidacion Territorial-UACT, Direccion para la Accion Integral contra Minas, and Unidad de Planificacion Rural Agropecuaria-UPRA. Bogota, Colombia Panfil, S.N., Harvey, C.A., REDD+ and biodiversity conservation: A review of the biodiversity goals, monitoring methods, and impacts of 80 REDD+ projects (2016) Conservation Letters, 9, pp. 143-150 Pontius, R.G., Batchu, K., Using the relative operating characteristic to quantify certainty in prediction of location of land cover change in India (2003) Transactions in GIS, 7, pp. 467-484 (2016) R: A Language and Environment for Statistical Computing, , http://www.R-project.org/, R Development Core Team. R Foundation for Statistical Computing, Vienna, Austria Romijn, E., Herold, M., Kooistra, L., Murdiyarso, D., Verchot, L., Assessing capacities of non-Annex i countries for national forest monitoring in the context of REDD+ (2012) Environmental Science and Policy, 19-20, pp. 33-48 Rue, H., Martino, S., Chopin, N., Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (2009) Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71, pp. 319-392 Rue, H., Martino, S., Lindgren, F., Simpson, D., Riebler, A., Krainski, E.T., Fuglstad, G.-A., Functions which allow to perform full Bayesian analysis of latent Gaussian models using integrated nested Laplace approximation (2016) R Package Version 0. 0-1455098891, , http://www.r-inla.org/ Salvini, G., Herold, M., De Sy, V., Kissinger, G., Brockhaus, M., Skutsch, M., How countries link REDD+ interventions to drivers in their readiness plans: Implications for monitoring systems (2014) Environmental Research Letters, 9, p. 74004 Schroeder, W., Csiszar, I., Morisette, J., Quantifying the impact of cloud obscuration on remote sensing of active fires in the Brazilian Amazon (2008) Remote Sensing of Environment, 112, pp. 456-470 Silvestrini, R.A., Soares-Filho, B.S., Nepstad, D., Coe, M., Rodrigues, H., Assuncao, R., Simulating fire regimes in the Amazon in response to climate change and deforestation (2011) Ecological Applications, 21, pp. 1573-1590 Sing, T., Sander, O., Beerenwinkel, N., Lengauer, T., ROCR: Visualizing classifier performance in R (2005) Bioinformatics, 21, pp. 3940-3941 Soares-Filho, B., Forest fragmentation, climate change and understory fire regimes on the Amazonian landscapes of the Xingu headwaters (2012) Landscape Ecology, 27, pp. 585-598
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dc.publisher.spa.fl_str_mv	Ecological Society of America
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institution	Universidad de Medellín
repository.name.fl_str_mv	Repositorio Institucional Universidad de Medellin
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spelling	2017-12-19T19:36:49Z2017-12-19T19:36:49Z201719395582http://hdl.handle.net/11407/434010.1002/eap.1522reponame:Repositorio Institucional Universidad de Medellíninstname:Universidad de MedellínFire 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.engEcological Society of AmericaIngeniería AmbientalFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020207873&doi=10.1002%2feap.1522&partnerID=40&md5=039df2d0f4b1711de1cc46189d0505f5Ecological ApplicationsAlencar, A.A., Brando, P.M., Asner, G.P., Putz, F.E., Ca, S., Df, B., Ambiental, P., Ecology, G., Landscape fragmentation, severe drought, and the new Amazon forest fire regime (2015) Ecological Applications, 25, pp. 1493-1505Aragao, L.E., Malhi, Y., Barbier, N., Lima, A., Shimabukuro, Y., Anderson, L., Saatchi, S.O.C., Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia (2008) Philosophical Transactions of the Royal Society B, 363, pp. 1779-1785Aragao, L.E., Shimabukuro, Y.E.O.C., The incidence of fire in Amazonian forests with implications for REDD (2010) Science, 328, pp. 1275-1278Ariza, E., Ramirez, M., Vega, L., (1998) Atlas Cultural de la Amazonia Colombiana: La Construccion Del Territorio en El Siglo XX, , Instituto Colombiano de Antropologia, Bogota, D. C., ColombiaArmenteras, D., Gonzalez, T.M., Retana, J., Forest fragmentation and edge influence on fire occurrence and intensity under different management types in Amazon forests (2013) Biological Conservation, 159, pp. 73-79Armenteras, D., Rodriguez, N., Retana, J., Landscape dynamics in Northwestern Amazonia: An assessment of pastures, fire and illicit crops as drivers of tropical deforestation (2013) PLoS ONE, 8, p. e54310Balch, J.K., The susceptibility of Southeastern Amazon forests to fire: Insights from a large-scale burn experiment (2015) BioScience, 65, pp. 893-905Barlow, J., Peres, C.A., Fire-mediated dieback and compositional cascade in an Amazonian forest (2008) Philosophical Transactions of the Royal Society B, 363, pp. 1787-1794Barlow, J., Parry, L., Gardner, T.A., Ferreira, J., Aragao, L.E.O.C., Carmenta, R., Berenguer, E., Cochrane, M.A., The critical importance of considering fire in REDD+ programs (2012) Biological Conservation, 154, pp. 1-8Besag, J., Kooperberg, C., On conditional and intrinsic autoregressions (1995) Biometrika, 82, pp. 733-746Bowman, D.M., Murphy, B.P.J.S., Australia-a model system for the development of pyrogeography (2011) Fire Ecology, 7, pp. 5-12Bowman, D.M.J.S., Fire in the earth system (2009) Science, 324, pp. 481-484Brando, P.M., Abrupt increases in Amazonian tree mortality due to drought-fire interactions (2014) Proceedings of the National Academy of Sciences USA, 111, pp. 6347-6352Chen, Y., Morton, D.C., Jin, Y., Collatz, G.J., Kasibhatla, P.S., Der Van Werf, G.R., DeFries, R.S., Randerson, J.T., Long-term trends and interannual variability of forest, savanna and agricultural fires in South America (2013) Carbon Management, 4, pp. 617-638Cochrane, M.A., Fire science for rainforests (2003) Nature, 421, pp. 913-918Cochrane, M., (2009) Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics, , Springer-Verlag, Berlin HeidelbergCochrane, M.A., Laurance, W.F., Fire as a large-scale edge effect in Amazonian forests (2002) Journal of Tropical Ecology, 18, pp. 311-325Cochrane, M.A., Alencar, A., Schulze, M.D., Positive feedbacks in the fire dynamic of closed canopy tropical forests (1999) Science, 284, pp. 1832-1835Cochrane, M.A., Schulze, M.D., Fire as a recurrent event in tropical forests of the eastern Amazon: Effects on forest structure, biomass, and species composition (1999) Biotropica, 31, pp. 2-16Davalos, L.M., Bejarano, A.C., Hall, M.A., Correa, H.L., Corthals, A., Espejo, O.J., Forests and drugs: Coca-driven deforestation in tropical biodiversity hotspots (2011) Environmental Science & Technology, 45, pp. 1219-1227Davalos, L.M., Holmes, J.S., Rodriguez, N., Armenteras, D., Demand for beef is unrelated to pasture expansion in northwestern Amazonia (2014) Biological Conservation, 170, pp. 64-73Fearnside, P.M., Deforestation in Brazilian Amazonia: History, rates, and consequences (2005) Conservation Biology, 19, pp. 680-688Giglio, L., Descloitres, J., Justice, C.O., Kaufman, Y.J., An enhanced contextual fire detection algorithm for MODIS (2003) Remote Sensing of Environment, 87, pp. 273-282Giglio, L., Schroeder, W., Justice, C.O., The collection 6 MODIS active fire detection algorithm and fire products (2016) Remote Sensing of Environment, 178, pp. 31-41Giglio, L., Der Van Werf, G.R., Randerson, J.T., Collatz, G.J., Kasibhatla, P., Global estimation of burned area using MODIS active fire observations (2006) Atmospheric Chemistry and Physics, 6, pp. 957-974Hanley, J.A., McNeil, B.J., The meaning and use of the area under a receiver operating characteristic (ROC) curve (1982) Radiology, 143, pp. 29-36Hansen, M.C., Stehman, S.V., Potapov, P.V., Quantification of global gross forest cover loss (2010) Proceedings of the National Academy of Sciences USA, 107, pp. 8650-8655Houghton, R.A., Carbon emissions and the drivers of deforestation and forest degradation in the tropics (2012) Current Opinion in Environmental Sustainability, 4, pp. 597-603Houghton, R.A., Skole, D.L., Nobre, C.A., Hackler, J.L., Lawrence, K.T., Chomentowski, W.H., Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon (2000) Nature, 403, pp. 301-304(2013) AT-Deforestacion: Sistema de Monitoreo de Bosques y Carbono para Colombia, Primer y Segundo Trimestre Del 2013, , IDEAM. Reporte de alertas tempranas de deforestacion para Colombia. No. 01, 02., IDEAM, Colombia(2014) AT-Deforestacion: Sistema de Monitoreo de Bosques y Carbono para Colombia, , IDEAM. Segundo semestre del 2014, reporte de alertas tempranas de deforestacion para Colombia, No. 04, IDEAM, ColombiaKass, R., Raftery, A., Bayes factors (1995) Journal of the American Statistical Association, 90, pp. 773-795Lopez-Raton, M., Rodriguez-Alvarez, M.X., Suarez, C.C., Sampedro, F.G., OptimalCutpoints: An R package for selecting optimal cutpoints in diagnostic tests (2014) Journal of Statistical Software, 61, pp. 1-36Morton, D.C., DeFries, R.S., Randerson, J.T., Giglio, L., Schroeder, W., Der Van Werf, G.R., Agricultural intensification increases deforestation fire activity in Amazonia (2008) Global Change Biology, 14, pp. 2262-2275Morton, D.C., Le Page, Y., DeFries, R., Collatz, G.J., Hurtt, G.C., Understorey fire frequency and the fate of burned forests in southern Amazonia (2013) Philosophical Transactions of the Royal Society B, 368, p. 20120163Morton, D.C., Shimabukuro, Y.E., Rudorff, B.F.T., Freitas, R.M., DeFries, R.S., Conservation challenge at the agricultural frontier: Deforestation, fire, and land use dynamics in Mato Grosso Desafios para conservacao nas areas de fronteiras agricolas: Ica do uso da terra no Mato Grosso (2007) Revista Ambiente e Agua, 2, pp. 5-20Muller, D., Suess, S., Hoffmann, A.A., Buchholz, G., The value of satellite-based active fire data for monitoring, reporting and verification of REDD+ in the Lao PDR (2013) Human Ecology, 41, pp. 7-20(2016) Veredas de Colombia, , OCHA Colombia, DANE, Esri Colombia, Unidad para las Victimas, Defensoria del Pueblo, Departamento para la prosperidad Social, Consejeria DDHH Presidencia de la Republica, Unidad Administrativa para la Consolidacion Territorial-UACT, Direccion para la Accion Integral contra Minas, and Unidad de Planificacion Rural Agropecuaria-UPRA. Bogota, ColombiaPanfil, S.N., Harvey, C.A., REDD+ and biodiversity conservation: A review of the biodiversity goals, monitoring methods, and impacts of 80 REDD+ projects (2016) Conservation Letters, 9, pp. 143-150Pontius, R.G., Batchu, K., Using the relative operating characteristic to quantify certainty in prediction of location of land cover change in India (2003) Transactions in GIS, 7, pp. 467-484(2016) R: A Language and Environment for Statistical Computing, , http://www.R-project.org/, R Development Core Team. R Foundation for Statistical Computing, Vienna, AustriaRomijn, E., Herold, M., Kooistra, L., Murdiyarso, D., Verchot, L., Assessing capacities of non-Annex i countries for national forest monitoring in the context of REDD+ (2012) Environmental Science and Policy, 19-20, pp. 33-48Rue, H., Martino, S., Chopin, N., Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (2009) Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71, pp. 319-392Rue, H., Martino, S., Lindgren, F., Simpson, D., Riebler, A., Krainski, E.T., Fuglstad, G.-A., Functions which allow to perform full Bayesian analysis of latent Gaussian models using integrated nested Laplace approximation (2016) R Package Version 0. 0-1455098891, , http://www.r-inla.org/Salvini, G., Herold, M., De Sy, V., Kissinger, G., Brockhaus, M., Skutsch, M., How countries link REDD+ interventions to drivers in their readiness plans: Implications for monitoring systems (2014) Environmental Research Letters, 9, p. 74004Schroeder, W., Csiszar, I., Morisette, J., Quantifying the impact of cloud obscuration on remote sensing of active fires in the Brazilian Amazon (2008) Remote Sensing of Environment, 112, pp. 456-470Silvestrini, R.A., Soares-Filho, B.S., Nepstad, D., Coe, M., Rodrigues, H., Assuncao, R., Simulating fire regimes in the Amazon in response to climate change and deforestation (2011) Ecological Applications, 21, pp. 1573-1590Sing, T., Sander, O., Beerenwinkel, N., Lengauer, T., ROCR: Visualizing classifier performance in R (2005) Bioinformatics, 21, pp. 3940-3941Soares-Filho, B., Forest fragmentation, climate change and understory fire regimes on the Amazonian landscapes of the Xingu headwaters (2012) Landscape Ecology, 27, pp. 585-598ScopusIntegrating remotely sensed fires for predicting deforestation for REDD+Articleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Armenteras, 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, ColombiaGibbes, C., Department of Geography and Environmental Studies, University of Colorado, Colorado Springs, CO, United StatesAnaya, J.A., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 Nro. 30-65, Medellín, ColombiaDávalos, L.M., Department of Ecology and Evolution and Consortium for Interdisciplinary Environmental Research, Stony Brook University, Stony Brook, NY, United StatesArmenteras D.Gibbes C.Anaya J.A.Dávalos L.M.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, ColombiaDepartment of Geography and Environmental Studies, University of Colorado, Colorado Springs, CO, United StatesFacultad de Ingenierías, Universidad de Medellín, Carrera 87 Nro. 30-65, Medellín, ColombiaDepartment of Ecology and Evolution and Consortium for Interdisciplinary Environmental Research, Stony Brook University, Stony Brook, NY, United Statesedgefireforest lossmodelingModerate Resolution Imaging Spectroradiometermonitoringhttp://purl.org/coar/access_right/c_16ec11407/4340oai:repository.udem.edu.co:11407/43402020-05-27 17:51:16.701Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co

Integrating remotely sensed fires for predicting deforestation for REDD+

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