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DOI | 10.5194/essd-16-2165-2024 |
Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin | |
Epstein, Graham; Fuller, Susanna D.; Hingmire, Dipti; Myers, Paul G.; Pena, Angelica; Pennelly, Clark; Baum, Julia K. | |
发表日期 | 2024 |
ISSN | 1866-3508 |
EISSN | 1866-3516 |
起始页码 | 16 |
结束页码 | 5 |
卷号 | 16期号:5 |
英文摘要 | Quantification and mapping of surficial seabed sediment organic carbon have wide-scale relevance for marine ecology, geology and environmental resource management, with carbon densities and accumulation rates being a major indicator of geological history, ecological function and ecosystem service provisioning, including the potential to contribute to nature-based climate change mitigation. While global analyses can appear to provide a definitive understanding of the spatial distribution of sediment carbon, regional maps may be constructed at finer resolutions and can utilise targeted data syntheses and refined spatial data products and therefore have the potential to improve these estimates. Here, we report a national systematic review of data on organic carbon content in seabed sediments across Canada and combine this with a synthesis and unification of the best available data on sediment composition, seafloor morphology, hydrology, chemistry and geographic settings within a machine learning mapping framework. Predictive quantitative maps of mud content, dry bulk density, organic carbon content and organic carbon density were produced along with cell-specific estimates of their uncertainty at 200 m resolution across 4 489 235 km(2) of the Canadian continental margin (92.6 % of the seafloor area above 2500 m) (10.5683/SP3/ICHVVA, Epstein et al., 2024). Fine-scale variation in carbon stocks was identified across the Canadian continental margin, particularly in the Pacific Ocean and Atlantic Ocean regions. Overall, we estimate the standing stock of organic carbon in the top 30 cm of surficial seabed sediments across the Canadian shelf and slope to be 10.9 Gt (7.0-16.0 Gt). Increased empirical sediment data collection and higher precision in spatial environmental data layers could significantly reduce uncertainty and increase accuracy in these products over time. |
语种 | 英语 |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
WOS类目 | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:001220454700001 |
来源期刊 | EARTH SYSTEM SCIENCE DATA
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/301416 |
作者单位 | University of Victoria; University of Victoria; University of Alberta |
推荐引用方式 GB/T 7714 | Epstein, Graham,Fuller, Susanna D.,Hingmire, Dipti,et al. Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin[J],2024,16(5). |
APA | Epstein, Graham.,Fuller, Susanna D..,Hingmire, Dipti.,Myers, Paul G..,Pena, Angelica.,...&Baum, Julia K..(2024).Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin.EARTH SYSTEM SCIENCE DATA,16(5). |
MLA | Epstein, Graham,et al."Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin".EARTH SYSTEM SCIENCE DATA 16.5(2024). |
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