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      Seasonal variations in the diversity and benthic community structure of subtidal artificial oyster reefs adjacent to the Luanhe River Estuary, Bohai Sea

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          Abstract

          Artificial oyster reefs provide important spawning and nursery grounds for a variety of fishes and large mobile crustaceans. Between July 2016 and May 2017, seasonal surveys of species composition and community structure were performed in the artificial oyster reef area and control area adjacent to the Luanhe River Estuary in China. During the survey year, 56 species belonging to 50 genera, 45 families, and 19 orders were recorded. The dominant economically important fish and mobile crustaceans were Hexagrammos otakii, Pholis fangi, Sebastes schlegelii, Charybdis japonica, and Oratosquilla oratoria. Resident fishes belonged to the Cynoglossidae, Paralichthyidae, Pleuronectidae, and Gobiidae families. Seasonally important fish species included Lateolabrax japonicus, Konosirus punctatus, Thryssa kammalensis, Hexagrammos agrammus, and Acanthopagrus schlegelii. The ranges of H' values among stations were 1.18–2.16, 0.65–1.75, 1.18–2.06, and 0.62–1.92 in spring, summer, autumn, and winter, respectively. The benthic organisms present in the community of artificial oyster reef areas can be classified into groups according to month and season. The abundance biomass curves showed that the oyster reef area in spring, autumn, and winter experienced low disturbance, whereas the community structure in summer was subject to large variations from external disturbance. We also found that as the age of the oyster reefs increased, the percentage of oysters in the low shell height group (< 40 mm) decreased. The oyster density was 324 ind/m 2 for the reef created in 2016, 724 ind/m 2 for the reef created in 2015, and 364 ind/m 2 for the reef created in 2013. These findings can be used to develop suitable management strategies for the sustainable maintenance of artificial oyster reef ecosystems.

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          Oyster Reefs at Risk and Recommendations for Conservation, Restoration, and Management

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            Biological structures as a source of habitat heterogeneity and biodiversity on the deep ocean margins

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              Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research.

              A comprehensive but simple-to-use software package called DPS (Data Processing System) has been developed to execute a range of standard numerical analyses and operations used in experimental design, statistics and data mining. This program runs on standard Windows computers. Many of the functions are specific to entomological and other biological research and are not found in standard statistical software. This paper presents applications of DPS to experimental design, statistical analysis and data mining in entomology. © 2012 The Authors Insect Science © 2012 Institute of Zoology, Chinese Academy of Sciences.
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                Author and article information

                Contributors
                zhangyiyutianx@163.com
                zqyin@dlou.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 October 2023
                17 October 2023
                2023
                : 13
                : 17650
                Affiliations
                [1 ]Key Laboratory of East China Sea Fishery Resources Exploitation, Ministry of Agriculture and Rural Affairs, ( https://ror.org/05ckt8b96) Shanghai, 200090 China
                [2 ]East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, ( https://ror.org/02bwk9n38) No 300, Jungong Road, Yangpu District, Shanghai, 200090 China
                [3 ]Hebei Ocean and Fisheries Science Research Institute, Qinghuangdao, 066200 China
                [4 ]College of Fisheries and Life Science, Dalian Ocean University, ( https://ror.org/0523b6g79) Dalian, 116023 China
                [5 ]College of Marine Science and Environment, Dalian Ocean University, ( https://ror.org/0523b6g79) Dalian, 116023 China
                [6 ]Marine Fisheries Research Institute of Zhejiang, ( https://ror.org/02wt5t905) Zhoushan, 316021 China
                [7 ]Hebei Provincial Technology Innovation Center for Coastal Ecology Rehabilitation, Tangshan Marine Ranching Co. Ltd, Tangshan, 063610 China
                [8 ]Japan Fisheries Information Service Center, Tokyo, 104-0055 Japan
                [9 ]Japan Fisheries Resource Conservation Association, Tokyo, 104-0044 Japan
                Article
                44176
                10.1038/s41598-023-44176-6
                10582260
                37848460
                9753ef7e-6896-4c91-930b-a6ba8a17768f
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 February 2023
                : 4 October 2023
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                © Springer Nature Limited 2023

                Uncategorized
                biological techniques,ecology,zoology,ocean sciences
                Uncategorized
                biological techniques, ecology, zoology, ocean sciences

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