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Guo J, Yang F, Costa OS, Yan X, Wu M, Qiu H, Li W, Xu G. Nutrient budgets and biogeochemical dynamics in the coastal regions of northern Beibu Gulf, South China Sea: Implication for the severe impact of human disturbance. Mar Environ Res 2024; 197:106447. [PMID: 38513386 DOI: 10.1016/j.marenvres.2024.106447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/21/2024] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
This study examined the nutrient budgets and biogeochemical dynamics in the coastal regions of northern Beibu Gulf (CNBG). Nutrient concentrations varied spatially and seasonally among the different bays. High nutrient levels were found in the regions with high riverine inputs and intensive mariculture. Using a three end-member mixing model, nutrient biogeochemistry within the ecosystem was estimated separately from complex physical mixing effects. Nutrient consumption dominated in most bays in summer, whereas nutrient regeneration dominated in winter, likely due to phytoplankton decomposition, vertical mixing and desorption. Through the Land-Ocean Interaction Coastal Zone (LOICZ) model, the robust nutrient budgets were constructed, indicating that the CNBG behaved as a sink of dissolved inorganic nitrogen, phosphorus and silicon. River-borne nutrient inputs were the dominant nutrient source, while residual flows and water exchange flows transported nutrient off the estuaries. This study could help us better understand nutrient cycles and nutrient sources/sinks in the CNBG.
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Affiliation(s)
- Jing Guo
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Nanning, 530001, China; Guangxi Beibu Gulf Intelligent Marine Ranching Engineering Research Center, Nanning Normal University, Nanning, 530001, China; New Technology Research Institute on Digital Twin, Guangxi Academy of Sciences, Nanning, 530007, China
| | - Fei Yang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences, Beijing 100101, China.
| | - Ozeas S Costa
- School of Earth Sciences, The Ohio State University at Mansfield, Mansfield, OH, 44906, USA
| | - Xiaomin Yan
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Nanning, 530001, China; Guangxi Beibu Gulf Intelligent Marine Ranching Engineering Research Center, Nanning Normal University, Nanning, 530001, China; New Technology Research Institute on Digital Twin, Guangxi Academy of Sciences, Nanning, 530007, China
| | - Man Wu
- New Technology Research Institute on Digital Twin, Guangxi Academy of Sciences, Nanning, 530007, China
| | - Hengtong Qiu
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Nanning, 530001, China; Guangxi Beibu Gulf Intelligent Marine Ranching Engineering Research Center, Nanning Normal University, Nanning, 530001, China; New Technology Research Institute on Digital Twin, Guangxi Academy of Sciences, Nanning, 530007, China
| | - Wanyi Li
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Nanning, 530001, China; Guangxi Beibu Gulf Intelligent Marine Ranching Engineering Research Center, Nanning Normal University, Nanning, 530001, China; New Technology Research Institute on Digital Twin, Guangxi Academy of Sciences, Nanning, 530007, China
| | - Guilin Xu
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Nanning, 530001, China; Guangxi Beibu Gulf Intelligent Marine Ranching Engineering Research Center, Nanning Normal University, Nanning, 530001, China; New Technology Research Institute on Digital Twin, Guangxi Academy of Sciences, Nanning, 530007, China.
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Gong B, Huang H, Peng C, Wang J, Ma J, Liu X, Ouyang S, Huang SL, Wu H. The microbiomic and environmental analysis of sediments in the Indo-Pacific humpback dolphin (Sousa chinensis) habitat in the Northern Beibu Gulf, China. Environ Sci Pollut Res Int 2019; 26:6957-6970. [PMID: 30644049 DOI: 10.1007/s11356-018-3976-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 12/11/2018] [Indexed: 06/09/2023]
Abstract
The northern Beibu Gulf is one of the major habitats for the Indo-Pacific humpback dolphin (Sousa chinensis) in China. In this habitat, the core distribution zone of humpback dolphins was confined to the Sanniang Bay (SNB) and Dafengjiang River Estuary (DRE) areas. In our present research, the sediments of 14 sampling sites across the SNB and DRE waters were collected and further conducted for microbiomic and environmental analysis to explore the ecosystem characteristics of major humpback dolphin habitats in Northern Beibu Gulf. The environmental condition includes ammonia nitrogen (NH4+-N), nitrate nitrogen (NO3--N), dissolved reactive phosphorus (DRP), sulfur content in the form of sulfuric acid (SO42--S), Fe, and heavy metals (including Cu, Zn, Cd, Pb, and As). The composition of the bacterial community was characterized by 16S ribosomal DNA analysis of the V3-V4 regions using the Illumina-based sequencing platform. The environmental characteristic of the nutrient elements and heavy metals indicated that SNB suffered more anthropogenic impact than DRE. The comparably higher concentration of NH4+-N, NO3--N, DRP, Pb, and Cd in the SNB region was detected. The comparably higher nutrients in the SNB may have resulted in higher biomass and lower dissolved oxygen (DO) profile, which was further proved by Landsat thermal image data. The microbiome analysis showed that the DRE region was oligotrophic and SNB reflected an anaerobic environment in the sediments. Environmental factors rather than the spatial distance determined the similarity of bacterial community among different sites. Ecological associations between environmental, oceanographic, and bacterial characteristics were illustrated, which exhibited strong mutual associations. Our findings presented a feasibility that integrates empirical and remote sensing data to distinguish ecological features and evaluate ecosystem healthiness for the humpback dolphin habitats.
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Affiliation(s)
- Bin Gong
- Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou, 535000, China
- The Key Laboratory of Coastal Science and Engineering, Qinzhou, 535000, Guangxi, China
| | - Hu Huang
- Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou, 535000, China
| | - Chongwei Peng
- Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Beibu Gulf University, Qinzhou, 535000, China
| | - Jingzhen Wang
- Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou, 535000, China
| | - Jixian Ma
- Marine Environment Monitoring Center, Qinzhou Oceanic Administration, Qinzhou, 535000, China
| | - Xiangxu Liu
- Marine Environment Monitoring Center, Qinzhou Oceanic Administration, Qinzhou, 535000, China
| | - Songying Ouyang
- The Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, 350117, China.
| | - Shiang-Lin Huang
- Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Beibu Gulf University, Qinzhou, 535000, China.
- Guanxi Beibu Gulf Marine Research Center, Guanxi Academy of Sciences, Nanning, 530007, Guanxi, China.
- College of Science, Shantou University, Shantou, 515000, China.
| | - Haiping Wu
- Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Beibu Gulf University, Qinzhou, 535000, China.
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