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DOI10.5194/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
ISSN1866-3508
EISSN1866-3516
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
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
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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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