A global dataset of soil organic carbon accumulation rate in coastal ecosystems

Coastal ecosystems are increasingly recognized as a crucial nature-based climate solution due to their remarkable capacity for carbon sequestration. However, the spatial distribution and quantification of soil organic carbon accumulation rate (OCAR) at the global scale remain limited. Here, we assemble an open global dataset of soil OCAR in coastal ecosystems from a systematic literature review. The dataset comprises 8,998 field observations from 247 peer-reviewed articles, encompassing four distinct ecosystem types (mangroves, salt marshes, seagrasses, and tidal flats). Furthermore, the dataset includes publication details of the source articles, geographical and ecological attributes of the sampling sites, and information for each observation. The dataset can be employed to more precisely quantify and map global coastal soil carbon sequestration capacity, enabling the development of global spatiotemporal prediction models. This dataset serves as a vital scientific foundation for informing management strategies of coastal ecosystems and guiding future carbon credit markets.

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Publication Details

Journal
Scientific Data
Published
2026-05-08
DOI
https://doi.org/10.1038/s41597-026-07412-y
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
0.00

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A global dataset of soil organic carbon accumulation rate in coastal ecosystems

Scientific Data
Coastal wetland ecosystem dynamics
article

A global dataset of soil organic carbon accumulation rate in coastal ecosystems

article en

Abstract

Coastal ecosystems are increasingly recognized as a crucial nature-based climate solution due to their remarkable capacity for carbon sequestration. However, the spatial distribution and quantification of soil organic carbon accumulation rate (OCAR) at the global scale remain limited. Here, we assemble an open global dataset of soil OCAR in coastal ecosystems from a systematic literature review. The dataset comprises 8,998 field observations from 247 peer-reviewed articles, encompassing four distinct ecosystem types (mangroves, salt marshes, seagrasses, and tidal flats). Furthermore, the dataset includes publication details of the source articles, geographical and ecological attributes of the sampling sites, and information for each observation. The dataset can be employed to more precisely quantify and map global coastal soil carbon sequestration capacity, enabling the development of global spatiotemporal prediction models. This dataset serves as a vital scientific foundation for informing management strategies of coastal ecosystems and guiding future carbon credit markets.

Scientific Data
Sun Yat-sen University (CN), Beijing Normal University (CN), Marine Conservation Institute (US), Key Laboratory of Guangdong Province (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Ministry of Natural Resources (RW), Guangdong Province Environmental Monitoring Center (CN), National Marine Environmental Forecasting Center (CN), Hainan Marine Monitoring and Forecasting Center (CN), Shanghai Estuarine & Coastal Science Research Center (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN), East China Normal University (CN)
National Natural Science Foundation of China, Sun Yat-sen University, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 6%
Coastal wetland ecosystem dynamics
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