Future carbon emissions from global mangrove forest loss

被引:142
作者
Adame, Maria F. [1 ,2 ]
Connolly, Rod M. [2 ]
Turschwell, Mischa P. [1 ]
Lovelock, Catherine E. [3 ]
Fatoyinbo, Temilola [4 ]
Lagomasino, David [5 ]
Goldberg, Liza A. [6 ]
Holdorf, Jordan [2 ]
Friess, Daniel A. [7 ,8 ]
Sasmito, Sigit D. [9 ,10 ,11 ]
Sanderman, Jonathan [12 ]
Sievers, Michael [2 ]
Buelow, Christina [2 ]
Kauffman, J. Boone [13 ]
Bryan-Brown, Dale [1 ]
Brown, Christopher J. [1 ,2 ]
机构
[1] Griffith Univ, Australian Rivers Inst, Nathan, Qld 4111, Australia
[2] Griffith Univ, Sch Environm & Sci, Australian Rivers Inst, Coastal & Marine Res Ctr, Gold Coast, Qld, Australia
[3] Univ Queensland, Sch Biol Sci, St Lucia, Qld, Australia
[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
[5] East Carolina Univ, Dept Coastal Studies, Wanchese, NC USA
[6] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
[7] Natl Univ Singapore, Dept Geog, Singapore, Singapore
[8] Natl Univ Singapore, Ctr Naturebased Climate Solut, Mangrove Specialist Grp, Singapore, Singapore
[9] Charles Darwin Univ, Res Inst Environm & Livelihoods, Casuarina, NT, Australia
[10] Ctr Int Forestry Res, Bogor, Indonesia
[11] Natl Univ Singapore, NUS Environm Res Inst, Singapore, Singapore
[12] Woodwell Climate Res Ctr, Falmouth, MA USA
[13] Oregon State Univ, Dept Fisheries Wildlife & Conservat Sci, Corvallis, OR 97331 USA
基金
澳大利亚研究理事会;
关键词
blue carbon; carbon sequestration; climate change; coastal wetlands; erosion; greenhouse gases; Nationally Determined Contributions; tropical storms; COASTAL; CONSERVATION; STORAGE; DEFORESTATION; MARSHES; BRAZIL; WORLD;
D O I
10.1111/gcb.15571
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
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.
引用
收藏
页码:2856 / 2866
页数:11
相关论文
共 47 条
[1]   The undervalued contribution of mangrove protection in Mexico to carbon emission targets [J].
Adame, Maria Fernanda ;
Brown, Christopher James ;
Bejarano, Marylin ;
Alfredo Herrera-Silveira, Jorge ;
Ezcurra, Paula ;
Kauffman, J. Boone ;
Birdsey, Richard .
CONSERVATION LETTERS, 2018, 11 (04)
[2]   Carbon Stocks of Tropical Coastal Wetlands within the Karstic Landscape of the Mexican Caribbean [J].
Adame, Maria Fernanda ;
Kauffman, J. Boone ;
Medina, Israel ;
Gamboa, Julieta N. ;
Torres, Olmo ;
Caamal, Juan P. ;
Reza, Miriam ;
Herrera-Silveira, Jorge A. .
PLOS ONE, 2013, 8 (02)
[3]   Carbon Cycling and Storage in Mangrove Forests [J].
Alongi, Daniel M. .
ANNUAL REVIEW OF MARINE SCIENCE, VOL 6, 2014, 6 :195-219
[4]  
Atwood TB, 2017, NAT CLIM CHANGE, V7, P523, DOI [10.1038/nclimate3326, 10.1038/NCLIMATE3326]
[5]   A cloud computing-based approach to mapping mangrove erosion and progradation: Case studies from the Sundarbans and French Guiana [J].
Bhargava, Radhika ;
Sarkar, Dipto ;
Friess, Daniel A. .
ESTUARINE COASTAL AND SHELF SCIENCE, 2021, 248
[6]   The Global Mangrove WatchA New 2010 Global Baseline of Mangrove Extent [J].
Bunting, Pete ;
Rosenqvist, Ake ;
Lucas, Richard M. ;
Rebelo, Lisa-Maria ;
Hilarides, Lammert ;
Thomas, Nathan ;
Hardy, Andy ;
Itoh, Takuya ;
Shimada, Masanobu ;
Finlayson, C. Max .
REMOTE SENSING, 2018, 10 (10)
[7]   Improved estimates of mangrove cover and change reveal catastrophic deforestation in Myanmar [J].
De Alban, Jose Don T. ;
Jamaludin, Johanness ;
Wong de Wen, Donovan ;
Than, Maung Maung ;
Webb, Edward L. .
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (03)
[8]  
Donato DC, 2011, NAT GEOSCI, V4, P293, DOI [10.1038/ngeo1123, 10.1038/NGEO1123]
[9]   Rebuilding marine life [J].
Duarte, Carlos M. ;
Agusti, Susana ;
Barbier, Edward ;
Britten, Gregory L. ;
Carlos Castilla, Juan ;
Gattuso, Jean-Pierre ;
Fulweiler, Robinson W. ;
Hughes, Terry P. ;
Knowlton, Nancy ;
Lovelock, Catherine E. ;
Lotze, Heike K. ;
Predragovic, Milica ;
Poloczanska, Elvira ;
Roberts, Callum ;
Worm, Boris .
NATURE, 2020, 580 (7801) :39-51
[10]   Worldwide Typology of Nearshore Coastal Systems: Defining the Estuarine Filter of River Inputs to the Oceans [J].
Durr, Hans H. ;
Laruelle, Goulven G. ;
van Kempen, Cheryl M. ;
Slomp, Caroline P. ;
Meybeck, Michel ;
Middelkoop, Hans .
ESTUARIES AND COASTS, 2011, 34 (03) :441-458