Methane Dynamics of Aquaculture Shrimp Ponds in Two Subtropical Estuaries, Southeast China: Dissolved Concentration, Net Sediment Release, and Water Oxidation
Ping Yang,Derrick Y.F. Lai,Hong Yang,Hong Yang,Hong Yang,Chuan Tong,Louis Lebel,Jiafang Huang,Jin Xu +8 more
TLDR
The results suggest that both high water salinity and feed utilization efficiency can effectively mitigate CH4 emissions from the coastal shrimp ponds, highlighting the urgency of formulating appropriate policies and building sustainable institutions that can strike a balance between land‐based aquaculture development and greenhouse gas mitigation in the subtropical coastal regions.Abstract:
Aquaculture ponds are potentially large sources of atmospheric methane (CH4) that can exacerbate climate change. A thorough understanding of various CH4 biogeochemical processes occurring in the ponds is essential for the prediction and management of CH4 emissions arising from aquaculture. However, the variations in pond CH4 biogeochemical processes among estuaries and aquaculture stages remain poorly understood. In this study, we assessed the net sediment release, oxidation, and dissolved concentrations of CH4 in aquaculture ponds in two subtropical estuaries among three shrimp growth stages. Overall, porewater CH4 concentrations and sediment CH4 release rates varied greatly among different stages in the order: middle stage > final stage > initial stage. Water column CH4 concentrations and overlying water CH4 oxidation rates showed an increasing trend over the study period. Sediment CH4 release rates and dissolved CH4 concentrations also varied considerably between the two estuaries. In the more saline Jiulong River Estuary, sediment CH4 release rate was lower while the shrimp survival rate and yield were higher as compared to the Min River Estuary with a lower water salinity. Our results suggest that both high water salinity and feed utilization efficiency can effectively mitigate CH4 emissions from the coastal shrimp ponds. Overall, the large magnitude of net CH4 emissions observed in our shrimp ponds highlights the urgency of formulating appropriate policies and building sustainable institutions that can strike a balance between land‐based aquaculture development and greenhouse gas mitigation in the subtropical coastal regions.read more
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Ebullition was a major pathway of methane emissions from the aquaculture ponds in southeast China
Ping Yang,Yifei Zhang,Hong Yang,Hong Yang,Hong Yang,Guo Qianqian,Derrick Y.F. Lai,Zhao Guanghui,Li Ling,Chuan Tong +9 more
TL;DR: The results showed that the mean ebullitive CH4 flux from the studied ponds was 14.9 mg CH4 m-2 h-1 during the aquaculture period and accounted for over 90% of the total CH4 emission, indicating the importance of ebullition as a major CH4 transport mechanism.
Journal ArticleDOI
Large Spatial Variations in Diffusive CH4 Fluxes from a Subtropical Coastal Reservoir Affected by Sewage Discharge in Southeast China.
Ping Yang,Hong Yang,Hong Yang,Hong Yang,Jordi Sardans,Chuan Tong,Zhao Guanghui,Josep Peñuelas,Li Ling,Yifei Zhang,Li-Shan Tan,Kwok Pan Chun,Derrick Y.F. Lai +12 more
TL;DR: The role of sewage in governing the spatial variations in reservoir CH4 emissions and the importance of high spatial resolution data to improve the reliability of flux estimates for assessing the contribution of reservoirs to the regional and global CH4 budgets are highlighted.
Journal ArticleDOI
High methane emissions from thermokarst lakes on the Tibetan Plateau are largely attributed to ebullition fluxes
Lei Wang,Zhiheng Du,Zhiqiang Wei,Qian Xu,Yaru Feng,Penglin Lin,Jiahui Lin,Shengyun Chen,Yongping Qiao,Jianzong Shi,Cunde Xiao +10 more
TL;DR: In this article, Wang et al. investigated the magnitude and regulation of two CH4 pathways, ebullition and diffusion, in 32 thermokarst lakes on the Tibetan Plateau during the summer of 2020.
Journal ArticleDOI
Effects of water richness and seasonality on atmospheric methane emission from the wetlands of deltaic environment
Sandipta Debanshi,Swades Pal +1 more
TL;DR: In this paper, an estimation and mapping of wetland methane (CH4) emission from the wetlands of mature Ganges deltaic environment of India is carried out from six types of wetlands and water richness of the wetlands area was also assessed using Machine Learning (ML) algorithms to investigate its effect on CH4 emission.
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