Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aabe1c |
A global map of mangrove forest soil carbon at 30 m spatial resolution | |
Sanderman, Jonathan1; Hengl, Tomislav2; Fiske, Greg1; Solvik, Kylen1; Adame, Maria Fernanda3; Benson, Lisa5,6; Bukoski, Jacob J.7; Carnell, Paul8; Cifuentes-Jara, Miguel9; Donato, Daniel19; Duncan, Clare4,8; Eid, Ebrahem M.10,20; zu Ermgassen, Philine17,18; Lewis, Carolyn J. Ewers8; Macreadie, Peter I.8; Glass, Leah5; Gress, Selena11; Jardine, Sunny L.12; Jones, Trevor G.5,13; Nsombo, Eugene Ndemem14; Rahman, Md Mizanur15; Sanders, Christian J.16; Spalding, Mark17; Landis, Emily17 | |
2018-05-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
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ISSN | 1748-9326 |
出版年 | 2018 |
卷号 | 13期号:5 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Netherlands; Australia; England; Costa Rica; Egypt; Scotland; Canada; Cameroon; Japan; Saudi Arabia |
英文摘要 | With the growing recognition that effective action on climate change will require a combination of emissions reductions and carbon sequestration, protecting, enhancing and restoring natural carbon sinks have become political priorities. Mangrove forests are considered some of the most carbon-dense ecosystems in the world with most of the carbon stored in the soil. In order for mangrove forests to be included in climate mitigation efforts, knowledge of the spatial distribution of mangrove soil carbon stocks are critical. Current global estimates do not capture enough of the finer scale variability that would be required to inform local decisions on siting protection and restoration projects. To close this knowledge gap, we have compiled a large georeferenced database of mangrove soil carbon measurements and developed a novel machine-learning based statistical model of the distribution of carbon density using spatially comprehensive data at a 30 m resolution. This model, which included a prior estimate of soil carbon from the global SoilGrids 250 m model, was able to capture 63% of the vertical and horizontal variability in soil organic carbon density (RMSE of 10.9 kg m(-3)). Of the local variables, total suspended sediment load and Landsat imagery were the most important variable explaining soil carbon density. Projecting this model across the global mangrove forest distribution for the year 2000 yielded an estimate of 6.4 Pg C for the top meter of soil with an 86-729 Mg C ha(-1) range across all pixels. By utilizing remotely-sensed mangrove forest cover change data, loss of soil carbon due to mangrove habitat loss between 2000 and 2015 was 30-122 Tg C with >75% of this loss attributable to Indonesia, Malaysia and Myanmar. The resulting map products from this work are intended to serve nations seeking to include mangrove habitats in payment-for ecosystem services projects and in designing effective mangrove conservation strategies. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431143300001 |
WOS关键词 | SOUTHEAST-ASIA ; LAND-USE ; STOCKS ; COASTAL ; SEQUESTRATION ; ACCUMULATION ; POLICY ; RATES ; DEFORESTATION ; VARIABILITY |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/34347 |
专题 | 气候变化 |
作者单位 | 1.Woods Hole Res Ctr, 149 Woods Hole Rd, Falmouth, MA 02540 USA; 2.ISRIC World Soil Informat, Wageningen, Netherlands; 3.Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia; 4.Zool Soc London, Inst Zool, Regents Pk, London NW1 4RY, England; 5.Blue Ventures Conservat, London, England; 6.Ctr Environm Fisheries & Aquaculture Sci, Lowestoft, Suffolk, England; 7.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA; 8.Deakin Univ, Sch Life & Environm Sci, Ctr Integrat Ecol, Burwood, Vic, Australia; 9.CATIE, Forests Biodivers & Climate Change Program, Turrialba 7170, Costa Rica; 10.Kafr El Sheikh Univ, Fac Sci, Bot Dept, Kafr Al Sheikh, Egypt; 11.Edinburgh Napier Univ, Sch Appl Sci, Edinburgh, Midlothian, Scotland; 12.Univ Washington, Sch Marine & Environm Affairs, Seattle, WA 98195 USA; 13.Univ British Columbia, Dept Forest Resources Management, Vancouver, BC, Canada; 14.Univ Douala, Inst Fisheries & Aquat Sci, Doula, Cameroon; 15.Kyoto Univ, Grad Sch Agr, Kyoto, Japan; 16.Southern Cross Univ, Natl Marine Sci Ctr, Coffs Harbour, NSW, Australia; 17.Nature Conservancy, 1815 N Lynn St, Arlington, VA USA; 18.Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland; 19.Washington State Dept Nat Resources, Olympia, WA USA; 20.King Khalid Univ, Coll Sci, Biol Dept, Abha 61321, Saudi Arabia |
推荐引用方式 GB/T 7714 | Sanderman, Jonathan,Hengl, Tomislav,Fiske, Greg,et al. A global map of mangrove forest soil carbon at 30 m spatial resolution[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(5). |
APA | Sanderman, Jonathan.,Hengl, Tomislav.,Fiske, Greg.,Solvik, Kylen.,Adame, Maria Fernanda.,...&Landis, Emily.(2018).A global map of mangrove forest soil carbon at 30 m spatial resolution.ENVIRONMENTAL RESEARCH LETTERS,13(5). |
MLA | Sanderman, Jonathan,et al."A global map of mangrove forest soil carbon at 30 m spatial resolution".ENVIRONMENTAL RESEARCH LETTERS 13.5(2018). |
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