Article (Scientific journals)
Evaluation of the Residency of Black Rockfish (Sebastes schlegelii) in Artificial Reef Areas Based on Stable Carbon Isotopes
Yu, Haolin; Feng, Jie; Zhao, Wei et al.
2024In Sustainability, 16 (5), p. 2115
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Keywords :
artificial reef; black rockfish; isoscape; residency indicator; stable carbon isotope
Abstract :
[en] The ecological ‘attraction’ and ‘production’ functions of reef areas have been the subject of ongoing debate requiring further clarification. The present study focused on the black rockfish (Sebastes schlegelii), an economically dominant species in reef areas of Dabuquan Bay. Comparisons of stable carbon (C) isotopes between the muscle and liver tissues of black rockfish were conducted to identify residency and potential sources of non-resident individuals in the coastal Yellow Sea, China. Subsequently, isoscape values, derived from C isotopes of zooplankton gathered from inshore and offshore areas surrounding the reef, were compared to determine potential sources of the non-resident black rockfish individuals. According to the results, (1) the isotopic values between the muscle and liver tissues of black rockfish remained consistently aligned across both reef and control areas but showcased significant seasonal variations, and (2) the residency ratios of individuals within the reef area exceeded 84% across all seasons, highlighting the prolonged stays of this species. The findings are consistent with previous studies on rockfish residency and could facilitate the formulation of strategies for local stock enhancement and management.
Disciplines :
Aquatic sciences & oceanology
Author, co-author :
Yu, Haolin  ;  Université de Liège - ULiège > Freshwater and OCeanic science Unit of reSearch (FOCUS) ; CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China ; Qingdao National Laboratory for Marine Science and Technology, Qingdao, China ; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
Feng, Jie  ;  CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China ; Qingdao National Laboratory for Marine Science and Technology, Qingdao, China ; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China ; North China Sea Marine Forecasting Center of State Oceanic Administration, Qingdao, China ; Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao, China
Zhao, Wei;  CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China ; Qingdao National Laboratory for Marine Science and Technology, Qingdao, China ; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China ; College of Fisheries, Ocean University of China, Qingdao, China
Zhang, Tao;  CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China ; Qingdao National Laboratory for Marine Science and Technology, Qingdao, China ; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
Wang, Haiyan;  Department of Marine Organism Taxonomy & Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
Ji, Yunlong;  Shandong Fisheries Development and Resources Conservation Center, Yantai, China
Tang, Yanli;  College of Fisheries, Ocean University of China, Qingdao, China
Sun, Liyuan;  Shandong Fisheries Development and Resources Conservation Center, Yantai, China
 These authors have contributed equally to this work.
Language :
English
Title :
Evaluation of the Residency of Black Rockfish (Sebastes schlegelii) in Artificial Reef Areas Based on Stable Carbon Isotopes
Publication date :
March 2024
Journal title :
Sustainability
eISSN :
2071-1050
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI)
Volume :
16
Issue :
5
Pages :
2115
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This research was supported by the National Key R&D Program of China (Grant No. 2022YFD2401300), the National Natural Science Foundation of China (Grant No. 42106102 and 42306151), the Shandong Postdoctoral Science Foundation (Grant No. SDCXZG202301009), and the Qingdao Postdoctoral Application Research Project (Grant No. QDBSH20220201045).
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