40
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Persistent collapse of biomass in Amazonian forest edges following deforestation leads to unaccounted carbon losses

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Amazonia lost 947 million tons of carbon induced by forest edge effect between 2001 and 2015, about 30% of deforestation losses.

          Abstract

          Deforestation is the primary driver of carbon losses in tropical forests, but it does not operate alone. Forest fragmentation, a resulting feature of the deforestation process, promotes indirect carbon losses induced by edge effect. This process is not implicitly considered by policies for reducing carbon emissions in the tropics. Here, we used a remote sensing approach to estimate carbon losses driven by edge effect in Amazonia over the 2001 to 2015 period. We found that carbon losses associated with edge effect (947 Tg C) corresponded to one-third of losses from deforestation (2592 Tg C). Despite a notable negative trend of 7 Tg C year −1 in carbon losses from deforestation, the carbon losses from edge effect remained unchanged, with an average of 63 ± 8 Tg C year −1. Carbon losses caused by edge effect is thus an additional unquantified flux that can counteract carbon emissions avoided by reducing deforestation, compromising the Paris Agreement’s bold targets.

          Related collections

          Most cited references68

          • Record: found
          • Abstract: not found
          • Article: not found

          Lidar Remote Sensing for Ecosystem Studies

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Estimates of the Regression Coefficient Based on Kendall's Tau

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains.

              The recent 70% decline in deforestation in the Brazilian Amazon suggests that it is possible to manage the advance of a vast agricultural frontier. Enforcement of laws, interventions in soy and beef supply chains, restrictions on access to credit, and expansion of protected areas appear to have contributed to this decline, as did a decline in the demand for new deforestation. The supply chain interventions that fed into this deceleration are precariously dependent on corporate risk management, and public policies have relied excessively on punitive measures. Systems for delivering positive incentives for farmers to forgo deforestation have been designed but not fully implemented. Territorial approaches to deforestation have been effective and could consolidate progress in slowing deforestation while providing a framework for addressing other important dimensions of sustainable development. Copyright © 2014, American Association for the Advancement of Science.
                Bookmark

                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                September 2020
                30 September 2020
                : 6
                : 40
                : eaaz8360
                Affiliations
                [1 ]Tropical Ecosystems and Environmental Sciences Laboratory, São José dos Campos, SP, Brazil.
                [2 ]Remote Sensing Division, National Institute for Space Research, São José dos Campos, SP, Brazil.
                [3 ]Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
                [4 ]National Center for Monitoring and Early Warning of Natural Disasters, São José dos Campos, SP, Brazil.
                [5 ]Veraterra–Mapping and Environmental Consultancy, Praça Pedro Gomes, s/n, Serra Grande, Uruçuca, BA 45680-000 Brazil.
                [6 ]European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy.
                [7 ]Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, USA.
                [8 ]School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA.
                [9 ]Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland.
                [10 ]Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA.
                [11 ]Institute of the Environment and Sustainability, University of California, Los Angeles, CA 90024, USA.
                Author notes
                [* ]Corresponding author. Email: celsohlsj@ 123456gmail.com
                Author information
                http://orcid.org/0000-0002-1052-5551
                http://orcid.org/0000-0002-4134-6708
                http://orcid.org/0000-0001-9545-5136
                http://orcid.org/0000-0001-6453-2215
                http://orcid.org/0000-0002-1469-8433
                http://orcid.org/0000-0003-3851-8588
                http://orcid.org/0000-0002-5776-6547
                http://orcid.org/0000-0002-8503-8053
                http://orcid.org/0000-0002-7844-3560
                http://orcid.org/0000-0001-7932-1824
                http://orcid.org/0000-0001-5062-6245
                http://orcid.org/0000-0001-8524-4917
                Article
                aaz8360
                10.1126/sciadv.aaz8360
                7527213
                32998890
                f3184fdd-f290-409e-abf2-c0190e84e206
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 05 February 2020
                : 17 August 2020
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100000104, National Aeronautics and Space Administration;
                Funded by: doi http://dx.doi.org/10.13039/501100001807, São Paulo Research Foundation;
                Award ID: 2016/02018-2
                Funded by: doi http://dx.doi.org/10.13039/501100001807, São Paulo Research Foundation;
                Award ID: 2016/02018-2
                Funded by: doi http://dx.doi.org/10.13039/501100002322, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior;
                Award ID: 001
                Funded by: doi http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 442650/2018-3
                Funded by: doi http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 309247/2016-0
                Funded by: doi http://dx.doi.org/10.13039/501100011110, Inter-American Institute for Global Change Research;
                Award ID: SGP-HW 016
                Funded by: Academy of Finland;
                Award ID: 318252
                Funded by: Academy of Finland;
                Award ID: 319905
                Funded by: doi http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 305054/2016-3
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Applied Ecology
                Environmental Studies
                Applied Ecology
                Custom metadata
                Mariane Belen

                Comments

                Comment on this article