Density-derived circuit theory identifies seasonal connectivity hypotheses and candidate bottlenecks for Coilia nasus in the Yangtze Estuary
摘要
Connectivity between critical habitats shapes the population dynamics of migratory fishes, yet direct movement data remain scarce for many estuarine species. We combined fishery-independent bottom-trawl surveys (2024–2025; 330 hauls), a spatial Tweedie generalised additive model (deviance explained: 73.4%) and circuit theory analysis of predicted density surfaces to infer seasonal connectivity hypotheses and candidate bottlenecks for post-young-of-the-year (post-YOY) Coilia nasus in the Yangtze Estuary. Predicted density showed strong seasonality: spring densities were highest and concentrated in the inner-to-mid-estuary (mid-estuary mean predicted density: 2883 ind km⁻2), consistent with a spring inward-migration scenario, whereas summer and autumn densities declined and shifted seaward, consistent with post-spawning redistribution. Circuit theory current maps indicated a narrow spring corridor of inferred high permeability broadly aligned with the South Channel, and broader, northward-displaced corridors in summer and autumn. Five candidate bottlenecks clustered in three geomorphically distinct zones: the inner-estuary/South Channel transition (~ 122.1–122.3°E), a northern inner-estuary gateway (~ 122.1°E), and a recurrent mid-to-outer estuary constriction (~ 122.6–122.7°E) near the reported summer Changjiang Diluted Water plume-front region. These density-derived connectivity hypotheses identify priority locations for monitoring and movement validation under China's 10-year fishing ban. More broadly, the density–resistance–circuit workflow provides a reproducible framework for generating testable connectivity hypotheses for estuarine diadromous fishes where direct movement data are scarce.