Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-05-13 DOI:10.5194/essd-16-2165-2024
Graham Epstein, Susanna D. Fuller, Dipti Hingmire, Paul G. Myers, Angelica Peña, Clark Pennelly, Julia K. Baum
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Abstract

Abstract. 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 km2 of the Canadian continental margin (92.6 % of the seafloor area above 2500 m) (https://doi.org/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.
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加拿大大陆边缘表层沉积物中有机碳储量的预测绘图
摘要表层海床沉积物有机碳的量化和绘图对海洋生态学、地质学和环境资源管理具有广泛的意义,碳密度和累积率是地质历史、生态功能和生态系统服务提供的一个主要指标,包括促进基于自然的气候变化减缓的潜力。虽然全球分析似乎可以提供对沉积碳空间分布的确切了解,但区域地图可以在更精细的分辨率下构建,并且可以利用有针对性的数据综合和精细的空间数据产品,因此有可能改进这些估计。在此,我们报告了对加拿大各地海底沉积物中有机碳含量数据的全国性系统回顾,并在机器学习制图框架内将其与沉积物成分、海底形态、水文、化学和地理环境方面的最佳可用数据的综合和统一结合起来。在加拿大大陆边缘 4 489 235 平方公里(2500 米以上海底区域的 92.6%)范围内,以 200 米分辨率绘制了泥质含量、干容积密度、有机碳含量和有机碳密度的定量预测图,并对其不确定性进行了特定单元估算(https://doi.org/10.5683/SP3/ICHVVA, Epstein et al., 2024)。在整个加拿大大陆边缘,特别是在太平洋和大西洋区域,碳储量的精细尺度变化得到了确认。总体而言,我们估计加拿大大陆架和斜坡表层海床沉积物顶部 30 厘米处的有机碳储量为 10.9 Gt(7.0-16.0 Gt)。随着时间的推移,增加经验沉积物数据的收集和提高空间环境数据层的精确度,可以大大降低不确定性并提高这些产品的准确性。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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