文献类型： 外文期刊
作者： Wang, Teng 1 ; Zhang, Peng 1 ; Zhang, Shufei 2 ; Liu, Qingxia 2 ; Liao, Xiuli 2 ; Rao, Yiyong 2 ; Huang, Honghui 2 ; Xie, Bin 4 ;
作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Key Lab Sustainable Utilizat Open Sea Fishery, Minist Agr & Rural Affairs, Guangzhou 510300, Peoples R China
2.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangdong Prov Key Lab Fishery Ecol & Environm, Guangzhou 510300, Peoples R China
3.Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou 511485, Peoples R China
4.Xiamen Univ, Coll Environm & Ecol, Key Lab, Minist Educ Coastal & Wetland Ecosyst, Xiamen 361102, Peoples R China
关键词： fishery resources; acoustic assessment; offshore wind farm; canonical correspondence analysis
期刊名称：JOURNAL OF MARINE SCIENCE AND ENGINEERING （ 影响因子：2.744； 五年影响因子：2.727 ）
ISSN：
年卷期： 2022 年 10 卷 12 期
页码：
收录情况： SCI
摘要： After more than ten years of offshore wind farm (OWF) construction, the total installed capacity of China ranks first in the world. The effect of OWF on fish communities-to attract or banish-differs among fish species and wind farms. Studies on the effects of OWFs are limited in China and results from other regions may not be transferable due to different environmental and biological conditions. In October 2019, an acoustic survey was conducted in Jinwan OWF, outside the Pearl River Estuary, northern South China Sea, China, to assess the fish resources (biomass and abundance), community diversity, and distribution information of this area. According to the Index of Relative Importance (IRI), Harpadon nehereus and Brionobutis koilomatodon were the dominant fish species in the study area. The mean Shannon-Weiner diversity index was 1.74. The mean Margalef richness index and Pielou uniformity index were 2.51 and 0.84, respectively. The ABC curve indicated that the fish community was undisturbed. The mean acoustically-derived biomass and abundance densities were 195.40 +/- 254.32 kg/km(2) and 6506.83 +/- 11,098.96 individuals/km(2), respectively. The fishery resources had evident aggregate distribution patterns, and the southern part of the study area had more biomass than the northern part. Seven environmental factors were selected by canonical correspondence analysis (CCA) analysis to reveal the correlation between fish assemblages and environmental factors, including nitrate (NO3-), ammonium (NH4+), dissolved oxygen (DO), water depth, pH, Chlorophyll a (Chl a), and phosphate (PO4+). However, the CCA only accounted for 45.49% of the total variation, indicating that other unexplained stresses affect the fish assemblage in Jinwan OWF. This is the first study to examine the fish distribution patterns and community structures of the Jinwan OWF area. In addition, it will help all sectors of society to more scientifically and objectively understand offshore wind farm projects. In future studies, control areas with more trawl samples can be set up to explore the long-term impact of OWF facilities on local fish communities.
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