Fishery Resource Evaluation with Hydroacoustic and Remote Sensing in Yangjiang Coastal Waters in Summer

被引:2
|
作者
Yin, Xiaoqing [1 ,2 ]
Yang, Dingtian [1 ,3 ,4 ]
Zhao, Linhong [1 ,2 ]
Zhong, Rong [1 ,2 ]
Du, Ranran [5 ]
机构
[1] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Marine Environm, Guangzhou 511458, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou 511458, Peoples R China
[4] Sanya Inst Ocean Ecoenvironm Engn, Sanya 572000, Peoples R China
[5] Guangzhou Marine Geol Survey, Guangzhou 510075, Peoples R China
基金
国家重点研发计划;
关键词
Yangjiang coastal waters; fishery resources; geostatistics; GAMs; remote sensing; DIEL VERTICAL MIGRATION; ENVIRONMENTAL-FACTORS; ABUNDANCE DISTRIBUTION; SPECIES COMPOSITION; ARTIFICIAL REEF; PELAGIC FISH; WEST-COAST; COMMUNITY; VARIABILITY; BEHAVIOR;
D O I
10.3390/rs15030543
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Yangjiang coastal waters provide vital spawning grounds, feeding grounds, and nursery areas for many commercial fish species. It is important to understand the spatial distribution of fish for the management, development, and protection of fishery resources. In this study, an acoustic survey was conducted from 29 July to 5 June 2021. Meanwhile, remote sensing data were collected, including sea surface temperature (SST), chlorophyll concentration (Chla), sea surface salinity (SSS), and sea surface temperature anomaly (SSTA). The spatial distribution of density and biomass of fish was analyzed based on acoustic survey data using the geostatistical method. Combining with remote sensing data, we explored the relation between fish density and the environment based on the GAMs model. The results showed that fish are mainly small individuals. The horizontal distri-bution of fish density had a characteristic of high nearshore and low offshore. In the vertical direc-tion, fish are mainly distributed in surface-middle layers in shallow waters (<10 m) and in middle-bottom layers in deeper waters (>10 m), respectively. The deviance explained in the optimal GAM model was 59.2%. SST, Chla, SSS, and longitude were significant factors influencing fish density distribu-tion with a contribution of 35.3%, 11.8%, 6.5%, and 5.6%, respectively. This study can pro-vide a scientific foundation and data support for rational developing and protecting fishery re-sources in Yangjiang coastal waters.
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页数:16
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