Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3521-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3521-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Jul 2025
Data description paper |
| 22 Jul 2025
| 22 Jul 2025
Global database of actual nitrogen loss rates in coastal and marine sediments
Yongkai Chang
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
Ehui Tan
CORRESPONDING AUTHOR
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
Dengzhou Gao
Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
Cheng Liu
Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Binzhou, China
Zongxiao Zhang
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
Zhixiong Huang
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
Jianan Liu
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
Yu Han
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
Zifu Xu
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
Bin Chen
State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
Shuh-Ji Kao
CORRESPONDING AUTHOR
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou, China
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Chuanjun Du, Naiwen Zheng, Shuh-Ji Kao, Minhan Dai, Zhimian Cao, Dalin Shi, Qiancheng Li, Hao Wang, and Xiaolin Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-654, https://doi.org/10.5194/essd-2025-654, 2025
Preprint under review for ESSD
Short summary
Short summary
Nutrient levels govern oceanic primary production, but measuring them is labor-intensive and costly. To address this, we used machine learning models to learn the hidden relationships between easy-to-measure ocean properties (like temperature and salinity) and nutrient levels. Applying this model, we created ~ 470 million nutrient data points across the North Pacific from 1895 to 2024. This data will help to understand nutrient and marine ecosystem variability under climate change.
Xiaofeng Dai, Mingming Chen, Xianhui Wan, Ehui Tan, Jialing Zeng, Nengwang Chen, Shuh-Ji Kao, and Yao Zhang
Biogeosciences, 19, 3757–3773, https://doi.org/10.5194/bg-19-3757-2022, https://doi.org/10.5194/bg-19-3757-2022, 2022
Short summary
Short summary
This study revealed the distinct distribution patterns of six key microbial functional genes and transcripts related to N2O sources and sinks in four estuaries spanning the Chinese coastline, which were significantly constrained by nitrogen and oxygen concentrations, salinity, temperature, and pH. The community structure of the nosZ clade II was distinctly different from those in the soil and marine OMZs. Denitrification may principally control the N2O emissions patterns across the estuaries.
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Short summary
Denitrification and anaerobic ammonium oxidation (anammox) are two important nitrogen removal pathways that convert reactive nitrogen into dinitrogen gas. Here, we construct a global database on actual nitrogen loss rates, covering over 30 years of observations, measured in coastal and marine sediments. This work provides a global overview of the biogeography and potential controlling factors of denitrification and anammox and highlights the potential applications of this database.
Denitrification and anaerobic ammonium oxidation (anammox) are two important nitrogen removal...
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