What does this research mean for the field?

Spawning and nursery habitats of Coilia mystus in the Yangtze Estuary exhibit distinct spatial patterns and environmental drivers, with spawning primarily limited by salinity and temperature, whereas larval nursery habitats are additionally driven by chlorophyll-a and display greater spatial heterogeneity. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate and contrast the spatially non-stationary environmental influences regulating the distinct spawning and nursery habitats of Coilia mystus in the Yangtze Estuary.

August 28, 2026FishesOpen Access

Differential Environmental Response Patterns Between Spawning and Nursery Habitats of Coilia mystus in the Yangtze Estuary

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Authors

DWDong Wang XLXiangyu Long ZLZengguang Li

Discussion

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Overview

Spatial modeling reveals divergent environmental drivers between spawning and nursery habitats in Coilia mystus, highlighting the necessity of stage-specific fisheries management.

Key Points

To evaluate and contrast the spatially non-stationary environmental influences regulating the distinct spawning and nursery habitats of Coilia mystus in the Yangtze Estuary.
Conducted six ichthyoplankton surveys across peak and late spawning seasons from 2018 to 2020 in the Yangtze Estuary.
Applied geographically weighted regression (GWR) models to assess how sea surface temperature, salinity, chlorophyll-a, water depth, and distance to coast affect egg and larval distributions.
Spawning grounds concentrated in the South Branch and shifted roughly 10 km upstream during a spring 2020 saltwater intrusion, with salinity acting as the primary limiter in spring and temperature dominating in summer.
Nursery grounds demonstrated a stable dual-core distribution, where the northern core at the North Branch mouth maintained consistently higher larval densities than the southern core.
Chlorophyll-a was excluded from optimal egg models but served as a persistent key driver for larvae alongside salinity and temperature, displaying broader regression coefficient ranges that indicate greater spatial heterogeneity.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a916ea0d15324a1df3aa788 https://doi.org/10.3390/fishes11090499

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August 28, 2026FishesOpen Access

Differential Environmental Response Patterns Between Spawning and Nursery Habitats of Coilia mystus in the Yangtze Estuary

View Full Paper

Ask AI

Bookmark

Authors

DWDong Wang XLXiangyu Long ZLZengguang Li

Discussion

Member takes

Overview

Spatial modeling reveals divergent environmental drivers between spawning and nursery habitats in Coilia mystus, highlighting the necessity of stage-specific fisheries management.

Key Points

To evaluate and contrast the spatially non-stationary environmental influences regulating the distinct spawning and nursery habitats of Coilia mystus in the Yangtze Estuary.
Conducted six ichthyoplankton surveys across peak and late spawning seasons from 2018 to 2020 in the Yangtze Estuary.
Applied geographically weighted regression (GWR) models to assess how sea surface temperature, salinity, chlorophyll-a, water depth, and distance to coast affect egg and larval distributions.
Spawning grounds concentrated in the South Branch and shifted roughly 10 km upstream during a spring 2020 saltwater intrusion, with salinity acting as the primary limiter in spring and temperature dominating in summer.
Nursery grounds demonstrated a stable dual-core distribution, where the northern core at the North Branch mouth maintained consistently higher larval densities than the southern core.
Chlorophyll-a was excluded from optimal egg models but served as a persistent key driver for larvae alongside salinity and temperature, displaying broader regression coefficient ranges that indicate greater spatial heterogeneity.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a916ea0d15324a1df3aa788 https://doi.org/10.3390/fishes11090499

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