Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors
The coastal waters of Zhejiang feature a complex aquatic environment and abundant biological resources, creating an ideal habitat for various fish species. However, the systematic monitoring of fish larvae in these offshore waters is limited. This study collected 24,232 fish larvae using large plank...
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2025-01-01
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author | Peng Zhao Rijin Jiang Qiqun Li Rui Yin Yuelian He Qingxi Han Guangjie Fang |
author_facet | Peng Zhao Rijin Jiang Qiqun Li Rui Yin Yuelian He Qingxi Han Guangjie Fang |
author_sort | Peng Zhao |
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description | The coastal waters of Zhejiang feature a complex aquatic environment and abundant biological resources, creating an ideal habitat for various fish species. However, the systematic monitoring of fish larvae in these offshore waters is limited. This study collected 24,232 fish larvae using large plankton nets during April and November 2022, as well as February and July 2023, and identified 93 species, primarily warm-temperate and warm-water species, with a peak occurrence in summer. The dominant species include <i>Larimichthys croceus</i>, <i>Sebastiscus marmoratus</i>, <i>Lateolabrax japonicus</i>, and <i>Odontamblyopus lacepedii</i>, among others, and these species exhibit frequent seasonal changes. Fish larvae are typically found to be aggregated along estuaries and bays in spring, autumn, and summer, while in winter, they tend to shift towards areas near the boundaries of motor trawler fisheries areas. Our cluster analysis revealed spatial heterogeneity in the community structure, driven by an abundance of dominant and important species. Our Mantel tests and canonical correspondence analysis (CCA) identified seawater temperature and salinity as core drivers of the aggregation and distribution of fish larvae, interacting with factors such as the chlorophyll-a concentration, water turbidity, water depth, and dissolved oxygen. This research provides a scientific basis for the dynamic monitoring of spawning grounds and effective management of fishery resources in Zhejiang’s coastal waters. |
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publishDate | 2025-01-01 |
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spelling | doaj-art-ee54b56403284391b4f0e862d8a039202025-01-24T13:32:29ZengMDPI AGFishes2410-38882025-01-011012410.3390/fishes10010024Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving FactorsPeng Zhao0Rijin Jiang1Qiqun Li2Rui Yin3Yuelian He4Qingxi Han5Guangjie Fang6Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, ChinaZhejiang Marine Fisheries Research Institute, Zhoushan 316021, ChinaZhejiang Marine Fisheries Research Institute, Zhoushan 316021, ChinaZhejiang Marine Fisheries Research Institute, Zhoushan 316021, ChinaZhejiang Marine Fisheries Research Institute, Zhoushan 316021, ChinaSchool of Marine Sciences, Ningbo University, Ningbo 315211, ChinaZhejiang Marine Fisheries Research Institute, Zhoushan 316021, ChinaThe coastal waters of Zhejiang feature a complex aquatic environment and abundant biological resources, creating an ideal habitat for various fish species. However, the systematic monitoring of fish larvae in these offshore waters is limited. This study collected 24,232 fish larvae using large plankton nets during April and November 2022, as well as February and July 2023, and identified 93 species, primarily warm-temperate and warm-water species, with a peak occurrence in summer. The dominant species include <i>Larimichthys croceus</i>, <i>Sebastiscus marmoratus</i>, <i>Lateolabrax japonicus</i>, and <i>Odontamblyopus lacepedii</i>, among others, and these species exhibit frequent seasonal changes. Fish larvae are typically found to be aggregated along estuaries and bays in spring, autumn, and summer, while in winter, they tend to shift towards areas near the boundaries of motor trawler fisheries areas. Our cluster analysis revealed spatial heterogeneity in the community structure, driven by an abundance of dominant and important species. Our Mantel tests and canonical correspondence analysis (CCA) identified seawater temperature and salinity as core drivers of the aggregation and distribution of fish larvae, interacting with factors such as the chlorophyll-a concentration, water turbidity, water depth, and dissolved oxygen. This research provides a scientific basis for the dynamic monitoring of spawning grounds and effective management of fishery resources in Zhejiang’s coastal waters.https://www.mdpi.com/2410-3888/10/1/24fish larvaespatiotemporal distributioncommunity structureenvironmental driving factorsZhejiang coastal waters |
spellingShingle | Peng Zhao Rijin Jiang Qiqun Li Rui Yin Yuelian He Qingxi Han Guangjie Fang Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors Fishes fish larvae spatiotemporal distribution community structure environmental driving factors Zhejiang coastal waters |
title | Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors |
title_full | Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors |
title_fullStr | Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors |
title_full_unstemmed | Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors |
title_short | Community Dynamics of Fish Larvae in Coastal Zhejiang: Seasonal Variations in Spatiotemporal Distribution and Environmental Driving Factors |
title_sort | community dynamics of fish larvae in coastal zhejiang seasonal variations in spatiotemporal distribution and environmental driving factors |
topic | fish larvae spatiotemporal distribution community structure environmental driving factors Zhejiang coastal waters |
url | https://www.mdpi.com/2410-3888/10/1/24 |
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