禁渔背景下三峡库区库尾食物网结构变化研究

STRUCTURAL RESPONSES OF THE FOOD WEB UNDER FISHING BAN IN THE TAILRACE OF THE THREE GORGES RESERVOIR

  • 摘要: 为探究禁渔后三峡库区库尾食物网结构变化趋势, 本研究围绕三峡库区库尾两个典型江段, 通过整合碳、氮稳定同位素、贝叶斯混合模型与食物网拓扑分析等方法, 系统解析了禁渔前后鱼类群落食物网结构的时空响应。研究发现, 尽管禁渔后两江段的物种丰富度均得到恢复(物种数均增至36种), 但其食物网的结构调整呈现出两种不同模式。下游江段的食物网趋向垂直深化: 其连接度(0.085降至0.070)与泛化指数(2.55降至2.44)下降, 表明营养关系更专化; 而δ15N跨度增加(食物链拉长)且杂食性比例显著上升(58.3%增至65.5%), 指向由顶级捕食者恢复驱动的食物网恢复模式。相反, 上游江段的食物网连接度(0.070增至0.077)与泛化指数(2.21增至2.69)增加, 表明物种间联系更普遍; 但δ15N跨度压缩(食物链缩短)且杂食性比例大幅下降(65.4%降至55.2%), 同时关键捕食者翘嘴鲌的鱼类食源占比下降(78.9%降至64.9%), 共同指向由低营养级资源驱动的结构调整恢复模式。结果表明, 禁渔后河流的生态恢复并非单一模式, 而可能是一个受局部生境影响的异质性过程。这些发现凸显了在生态恢复过程中关注食物网功能的重要性, 可为长江流域实施空间差异化的适应性管理策略提供关键科学依据。

     

    Abstract: The functional restoration of large river ecosystems represents a significant global challenge. The “Ten-Year Fishing Ban” implemented across the Yangtze River Basin, a large-scale ecological intervention, offers an unprecedented opportunity to investigate the recovery processes in a highly regulated aquatic ecosystem. This study aimed to comprehensively explore structural changes in the fish community food web in the tailrace of the Three Gorges Reservoir (TGR) after the fishing ban. We focused on two hydro-morphologically distinct river sections, the downstream Fuling section and the upstream Mudong section, to analyze the spatio-temporal responses of the food web. Our methodology integrated stable isotope analysis (δ13C and δ15N), an advanced Bayesian Isotope Mixing Model (BIMM) incorporating trophic-level constraints and prior dietary information, and food web topological analysis. Fish and basal food source samples were collected before (2018—2019) and after (2023) the ban implementation. Our results reveal that although species richness recovered similarly in both sections (increasing to 36species each), food web restructuring followed two divergent pathways shaped by local habitat . The food web exhibited “vertical deepening”: connectance decreased from 0.085 to 0.070 and generalization index from 2.55 to 2.44, indicating more specialized trophic interactions. Concurrently, an expanded δ15N range (10.94‰ to 11.51‰) reflected food chain elongation, and the propo rtion of omnivorous species rose from 58.3% to 65.5%. These shifts, together with an increased piscivorous diet in the key predator Siniperca kneri, support a top-down recovery cascade driven by restored predator populations. In contrast, the riverine Mudong section underwent “bottom-up reorganization” toward a flatter structure: connectance increased from 0.070 to 0.077 and the generalization index from 2.21 to 2.69, suggesting more generalized feeding links. However, this was accompanied by a compressed δ15N range (11.77‰ to 10.47‰), indicating a shorter food chain, and a decline in omnivory from 65.4% to 55.2%. Isotopic data revealed greater reliance on terrestrial C3 plant-derived carbon sources. The diet of the key predator, Culter alburnus, shifted from 78.9% to 64.9%, reflecting increased use of lower-trophic-level resources. This pattern suggests that the recovery was primarily driven by enhanced primary production and terrestrial organic matter inputs, facilitated by stronger land-water coupling and Flood Pulse Concept. In conclusion, ecological recovery after a major conservation intervention such as the fishing ban is not uniform; trajectory depends on local environmental conditions such as flow velocity and floodplain connectivity. These findings underscore the critical importance of assessing functional attributes like food web structure alongside biodiversity metrics. This research provides a crucial scientific foundation for developing and implementing spatially differentiated, adaptive management in the Yangtze River Basin to improve the effectiveness of large-scale conservation efforts.

     

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