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Future carbon emissions from global mangrove forest loss.
Adame, Maria F; Connolly, Rod M; Turschwell, Mischa P; Lovelock, Catherine E; Fatoyinbo, Temilola; Lagomasino, David; Goldberg, Liza A; Holdorf, Jordan; Friess, Daniel A; Sasmito, Sigit D; Sanderman, Jonathan; Sievers, Michael; Buelow, Christina; Kauffman, J Boone; Bryan-Brown, Dale; Brown, Christopher J.
Afiliação
  • Adame MF; Australian Rivers Institute, Griffith University, Nathan, Qld, Australia.
  • Connolly RM; Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Gold Coast, Qld, Australia.
  • Turschwell MP; Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Gold Coast, Qld, Australia.
  • Lovelock CE; Australian Rivers Institute, Griffith University, Nathan, Qld, Australia.
  • Fatoyinbo T; School of Biological Sciences, The University of Queensland, St Lucia, Qld, Australia.
  • Lagomasino D; NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • Goldberg LA; Department of Coastal Studies, East Carolina University, Wanchese, NC, USA.
  • Holdorf J; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
  • Friess DA; Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Gold Coast, Qld, Australia.
  • Sasmito SD; Department of Geography, National University of Singapore, Singapore, Singapore.
  • Sanderman J; Mangrove Specialist Group, Centre for Nature-based Climate Solutions, National University of Singapore, Singapore, Singapore.
  • Sievers M; Research Institute for Environment and Livelihoods, Charles Darwin University, Casuarina, NT, Australia.
  • Buelow C; Center for International Forestry Research, Bogor, Indonesia.
  • Kauffman JB; NUS Environmental Research Institute, National University of Singapore, Singapore, Singapore.
  • Bryan-Brown D; Woodwell Climate Research Center, Falmouth, MA, USA.
  • Brown CJ; Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Gold Coast, Qld, Australia.
Glob Chang Biol ; 27(12): 2856-2866, 2021 Jun.
Article em En | MEDLINE | ID: mdl-33644947
Mangroves have among the highest carbon densities of any tropical forest. These 'blue carbon' ecosystems can store large amounts of carbon for long periods, and their protection reduces greenhouse gas emissions and supports climate change mitigation. Incorporating mangroves into Nationally Determined Contributions to the Paris Agreement and their valuation on carbon markets requires predicting how the management of different land-uses can prevent future greenhouse gas emissions and increase CO2 sequestration. We integrated comprehensive global datasets for carbon stocks, mangrove distribution, deforestation rates, and land-use change drivers into a predictive model of mangrove carbon emissions. We project emissions and foregone soil carbon sequestration potential under 'business as usual' rates of mangrove loss. Emissions from mangrove loss could reach 2391 Tg CO2 eq by the end of the century, or 3392 Tg CO2 eq when considering foregone soil carbon sequestration. The highest emissions were predicted in southeast and south Asia (West Coral Triangle, Sunda Shelf, and the Bay of Bengal) due to conversion to aquaculture or agriculture, followed by the Caribbean (Tropical Northwest Atlantic) due to clearing and erosion, and the Andaman coast (West Myanmar) and north Brazil due to erosion. Together, these six regions accounted for 90% of the total potential CO2 eq future emissions. Mangrove loss has been slowing, and global emissions could be more than halved if reduced loss rates remain in the future. Notably, the location of global emission hotspots was consistent with every dataset used to calculate deforestation rates or with alternative assumptions about carbon storage and emissions. Our results indicate the regions in need of policy actions to address emissions arising from mangrove loss and the drivers that could be managed to prevent them.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Áreas Alagadas Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Asia / Brasil / Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Áreas Alagadas Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Asia / Brasil / Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article