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Liu N, Yu J, Wang Q, Zhang K, Jiang C, Tian S. Network and evolutionary analysis of green tide management policies in the Yellow Sea, China. MARINE POLLUTION BULLETIN 2024; 206:116755. [PMID: 39059218 DOI: 10.1016/j.marpolbul.2024.116755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 07/14/2024] [Accepted: 07/19/2024] [Indexed: 07/28/2024]
Abstract
Since 2007, persistent green tides in the Yellow Sea of China (YSC) have inflicted substantial economic and social losses. In response, the Chinese government has enacted various policies to mitigate these impacts. This study introduced an evolutionary-multiple streams framework and employed Social Network Analysis (SNA) and Text Analysis from 2007 to 2023, tracing three phases of policy development: growth (2007-2012), stability (2013-2017), and explosion (2018-2023). Findings indicated that during the growth phase, the most of the policy themes were "monitoring" and "emergency"; in the stability phase, policy issuance by provincial and municipal agencies began to increase; in the explosion phase, a basic consensus was reached on source control and intergovernmental cooperation in the management of green tides. Themes such as "ecology", "extreme weather", and "green tide exploitation" have been emphasized. This analysis provides insights for future policy formulation in green tide control and broader marine environmental governance.
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Affiliation(s)
- Na Liu
- Management College, Ocean University of China, Qingdao 266100, China; Institute of Marine Development, Ocean University of China, Qingdao 266100, China
| | - Jing Yu
- Institute of Marine Development, Ocean University of China, Qingdao 266100, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
| | - Quanbin Wang
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266100, China
| | - Kuncheng Zhang
- Institute of Marine Development, Ocean University of China, Qingdao 266100, China; School of Marxism, Ocean University of China, Qingdao 266100, China.
| | - Chong Jiang
- Management College, Ocean University of China, Qingdao 266100, China; Institute of Marine Development, Ocean University of China, Qingdao 266100, China
| | - Shizheng Tian
- School of Marxism, Ocean University of China, Qingdao 266100, China
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Xia Z, Yang Y, Zeng Y, Sun Y, Cui Q, Chen Z, Liu J, Zhang J, He P. Temporal succession of micropropagules during accumulation and dissipation of green tide algae: A case study in Rudong coast, Jiangsu Province. MARINE ENVIRONMENTAL RESEARCH 2024; 202:106719. [PMID: 39226784 DOI: 10.1016/j.marenvres.2024.106719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 09/05/2024]
Abstract
Over the past 18 years, green tides have persistently occurred in the Yellow Sea. Micropropagules of these algae are key to bloom formation, yet their species composition and succession during dissipation remain underexplored. During the dissipation process of accumulated green tide algae, a large number of micropropagules are released. This study monitored the dissipation of green tide algae at a coastal site, tracking micropropagules in water and sediment using an internal transcribed spacer (ITS) and 5S rDNA primers. Results showed that the dissipation lasted about one month, with significant micropropagule release. Initially, micropropagules matched 5S-II Ulva prolifera, but later species like Ulva torta, Ulva simplex, Ulva flexuosa, and Ulva meridionalis emerged. Ulva meridionalis dominated sediment in July and August, while U. torta was prevalent in water, and U. flexuosa was dominant in other months. Accumulated U. prolifera in the intertidal zone may not contribute to the seeding of the next year's bloom. This study sheds light on the dissipation process and succession patterns of micropropagules in coastal environments.
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Affiliation(s)
- Zhangyi Xia
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China; College of Ocean and Earth Science, Xiamen University, Xiamen, 361100, China
| | - Yiting Yang
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Yinqing Zeng
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Yuqing Sun
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Qianwen Cui
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
| | - Zehua Chen
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Jinlin Liu
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, 200092, China; Project Management Office of China National Scientific Seafloor Observatory, Tongji University, Shanghai, 200092, China.
| | - Jianheng Zhang
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China.
| | - Peimin He
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China.
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Cao J, Zeng Y, Xia Z, Li S, He P, Zhang J. Spatio-temporal distribution of micropropagules of green algae along the Jiangsu coast. MARINE ENVIRONMENTAL RESEARCH 2024; 198:106533. [PMID: 38761492 DOI: 10.1016/j.marenvres.2024.106533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/20/2024]
Abstract
We conducted continuous monitoring at 13 stations along the Jiangsu coast to study the spatiotemporal distribution, population succession of micropropagules of green algae, and their impact on the outbreak of Southern Yellow Sea green tide. The study discovered that: 1) Green algae micropropagules had obvious temporal and spatial distribution and population changes along the Jiangsu coast. The monthly average abundance of micropropagules of green algae at station BH1, which was the high-value area, was 1230 inds/L. Station XS2 had the second-highest value area. Green algae micropropagules had an average monthly abundance of 836 inds/L. Between stations XS2 and BH1, the amount of green algae micropropagules steadily declined in comparison to other stations. The abundance was greatest from spring to early summer, and Ulva prolifera micropropagules predominated; 2) Compared with salinity, temperature had a more obvious effect on the micropropagules of green algae along the Jiangsu coast; 3) Green algae micropropagules on the Jiangsu coast could be a potential additional source on the outbreak of Southern Yellow Sea green tide. More data are needed to corroborate this conclusion. For the purpose of preventing and managing green tide, it is crucial to investigate the Southern Yellow Sea's potential supplementary source. This study analyzes the spatiotemporal distribution and population changes of green algae micropropagules along the Jiangsu coast, as well as their impact on green tide outbreaks, providing scientific data support for the prevention and control of green tides in the Southern Yellow Sea.
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Affiliation(s)
- Jiaxing Cao
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China
| | - Yinqing Zeng
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China
| | - Zhangyi Xia
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China
| | - Shuang Li
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China
| | - Peimin He
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, 222005, China.
| | - Jianheng Zhang
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, 222005, China.
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Sun Y, Xia Z, Tong Y, Li S, Zhang J, He P. Mixed acid treatment for removal of green macroalgae from Neopyropia aquaculture nets: Field experiment in the Subei Shoal, China. MARINE POLLUTION BULLETIN 2024; 202:116373. [PMID: 38636343 DOI: 10.1016/j.marpolbul.2024.116373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/09/2024] [Accepted: 04/09/2024] [Indexed: 04/20/2024]
Abstract
To develop an effective method to eliminate green macroalgae attached to Neopyropia aquaculture nets, we explored the influence of mixed acid solution on the photosynthetic fluorescence characteristics of Ulva spp. (green macroalgae) and Neopyropia yezoensis (red macroalgae) from Dafeng and Rudong aquaculture areas in Jiangsu Province, China. Treatment with mixed acid solution (0.0475 % hydrochloric acid:citric acid (pH 2.0) at a ratio of 4:3) for 60 s caused death of Ulva spp., but did not affect N. yezoensis. Additionally, a mixed acid solution effectively eliminated green macroalgae from Neopyropia aquaculture rafts and the marine environment remained unaffected. Hence, the application of mixed acid solution treatment has demonstrated significant efficacy in eradicating green macroalgae adhered to Neopyropia aquaculture rafts, thus presenting a promising strategy for mitigating green macroalgae proliferation in Neopyropia aquaculture areas and curbing their contribution to green tides.
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Affiliation(s)
- Yuqing Sun
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Zhangyi Xia
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Yichao Tong
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China; Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Shuang Li
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
| | - Jianheng Zhang
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China.
| | - Peimin He
- College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China.
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Dong L, Zuo X, Xiong Y. Prediction of hydrological and water quality data based on granular-ball rough set and k-nearest neighbor analysis. PLoS One 2024; 19:e0298664. [PMID: 38394115 PMCID: PMC10889668 DOI: 10.1371/journal.pone.0298664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/29/2024] [Indexed: 02/25/2024] Open
Abstract
Hydrological and water quality datasets usually encompass a large number of characteristic variables, but not all of these significantly influence analytical outcomes. Therefore, by wisely selecting feature variables with rich information content and removing redundant features, it not only can the analysis efficiency be improved, but the model complexity can also be simplified. This paper considers introducing the granular-ball rough set algorithm for feature variable selection and combining it with the k-nearest neighbor method and back propagation network to analyze hydrological and water quality data, thus promoting overall and fused inspection. The results of hydrological water quality data analysis show that the proposed method produces better results compared to using a standalone k-nearest neighbor regressor.
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Affiliation(s)
- Limei Dong
- Upper Changjiang River Bureau of Hydrological and Water Resources Survey, Chongqing, China
| | - Xinyu Zuo
- Upper Changjiang River Bureau of Hydrological and Water Resources Survey, Chongqing, China
| | - Yiping Xiong
- College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
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Zeng Y, Chen Z, Cao J, Li S, Xia Z, Sun Y, Zhang J, He P. Revolutionizing early-stage green tide monitoring: eDNA metabarcoding insights into Ulva prolifera and microecology in the South Yellow Sea. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169022. [PMID: 38043827 DOI: 10.1016/j.scitotenv.2023.169022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Green tides, characterized by excessive Ulva prolifera blooms, pose significant ecological and economic challenges, especially in the South Yellow Sea. We successfully employed 18S environmental DNA (eDNA) metabarcoding to detect Ulva prolifera micropropagules, confirming the technique's reliability and introducing a rapid green tide monitoring method. Our investigation revealed notable disparities in the eukaryotic microbial community composition within Ulva prolifera habitats across different regions. Particularly, during the early stages of the South Yellow Sea green tide outbreak, potential interactions emerged between Ulva prolifera micropropagules and certain previously undocumented microorganisms from neighboring waters. These findings enhance our comprehension of early-stage green tide ecosystem dynamics, underscoring the value of merging advanced molecular techniques with conventional ecological methods to gain a comprehensive understanding of the impact of green tide on the local ecosystem. Overall, our study advances our understanding of green tide dynamics, offering novel avenues for control, ecological restoration, and essential scientific support for sustainable marine conservation and management.
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Affiliation(s)
- Yinqing Zeng
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Zehua Chen
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Jiaxing Cao
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Shuang Li
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Zhangyi Xia
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Yuqing Sun
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Jianheng Zhang
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China; Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China.
| | - Peimin He
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China; Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China.
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He R, Zeng Y, Zhao S, Zhang J, He P, Liu J. Use of citric acid-activated chlorine dioxide to control Ulva prolifera. MARINE POLLUTION BULLETIN 2023; 194:115357. [PMID: 37579597 DOI: 10.1016/j.marpolbul.2023.115357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/22/2023] [Accepted: 07/29/2023] [Indexed: 08/16/2023]
Abstract
Since 2007, green tides have occurred almost every year in the Yellow Sea, and a method to prevent them and to control levels of attached Ulva prolifera is urgently needed. In this study, we measured the effects of different concentrations of citric acid-activated chlorine dioxide solution (0, 50, 100, 150, 200, and 250 mg/L of chlorine dioxide) on the morphology (macrostructure and microstructure), chlorophyll a content, chlorophyll b content, carotenoid content, and chlorophyll fluorescence parameters (Fv/Fm, Y (II), NPQ, and ETRmax) of U. prolifera. Micropropagules in the treatment filtrate were cultured to determine whether the solution reduced the number of micropropagules released during the treatment process. The results showed that citric acid-activated chlorine dioxide at the appropriate concentration can be applied to remove U. prolifera from Neopyropia cultivation rafts. Because U. prolifera and its micropropagules died in the 250 mg/L chlorine dioxide group, we recommend that the appropriate concentration of chlorine dioxide for removing green macroalgae is ≥250 mg/L. Our results provide a scientific basis for convenient collection of accurate data for the U. prolifera prevention trial organized by the Ministry of Natural Resources of the People's Republic of China.
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Affiliation(s)
- Ruyan He
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Yinqing Zeng
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Shuang Zhao
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Jianheng Zhang
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China.
| | - Peimin He
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China.
| | - Jinlin Liu
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China; Ocean Institute, Northwestern Polytechnical University, Taicang 215400, China; North China Sea Environmental Monitoring Center, State Oceanic Administration, Qingdao 266033, China.
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