黄渤海小黄鱼种群动态及其驱动因素

Population dynamics and its driving factors of small yellow croaker (Larimichthys polyactis) in the Yellow and Bohai Seas

  • 摘要:
    目的 准确评估黄渤海小黄鱼种群时空动态,为其渔业资源科学管理提供依据。
    方法 基于2001—2025年渔业资源科学调查数据和公开资料,构建黄渤海小黄鱼时空模型、资源评估模型和结构方程模型,解析其时空分布模式,评估其种群动态长期变化及驱动因素。
    结果 小黄鱼种群密度年际分布变动具有明显的空间异质性;2001年冬季,小黄鱼呈现广泛连续的高密度分布区,之后历经资源丰度下降、分布热点收缩,至2025年分布重心西移,分布热点在黄海中南部有一定的恢复。2005年以后,小黄鱼经历了高捕捞压力,亲体量下降和补充潜能受损,但随着近年来捕捞压力下降,种群有所恢复,2023—2025年小黄鱼捕捞死亡系数(F)和产卵潜力比 (SPR)已优于目标参考点。捕捞压力是引起黄渤海小黄鱼资源波动的根本因素,其影响远超其他因素 (F路径系数为–1.26),但现行管理措施 (路径系数0.30)以及气候条件 (路径系数0.27)为其资源养护提供了支撑。
    结论 仅依赖常规参考点 (如F或SPR阈值)实施管理,可能掩盖局部资源衰退的风险;开展纳入空间维度的资源评估,实施区域差异化资源精细管理,是维持黄渤海小黄鱼种群、提升其资源可持续的关键途径。

     

    Abstract: Accurate assessment of fishery population dynamics and their driving factors is fundamental to the scientific management of fishery resources. The Yellow and Bohai Seas serve as crucial habitats for numerous fishery organisms, underpinning the sustainable productivity of the ‘marine granary’ in northern China. The small yellow croaker (Larimichthys polyactis) is an economically important fish species in the Yellow and Bohai Seas, and has long been a primary target for fishing. This study aims to accurately assess the spatio-temporal dynamics of the L. polyactis population in the Yellow and Bohai Seas, thereby providing a scientific basis for the management of the fishery resources. Based on survey data of L. polyactis in the Yellow and Bohai Seas and publicly available information from 2001 to 2025, this study employed spatiotemporal modelling and spatial clustering analyses to characterize the spatiotemporal distribution patterns and long-term changes in stock abundance of L. polyactis. In addition, population dynamics were systematically evaluated using a data-rich stock assessment model, and the driving mechanisms underlying stock fluctuations were further elucidated through structural equation modelling. The results showed that the L. polyactis mainly overwinters in waters deeper than 50 m, with a small number distributed in the 30-50 m water range and very few in waters shallower than 30 m. In addition to the central and southeastern Yellow Sea, the waters deeper than 50 m in the northern Yellow Sea also serve as an important overwintering ground. The interannual distribution of L. polyactis population density exhibits significant spatial heterogeneity. In the winter of 2001, L. polyactis displayed extensive and continuous high-density distribution areas, followed by a decline in resource abundance and contraction of distribution hotspots. By 2025, the center of gravity of L. polyactis population had shifted westward, and the distribution hotspots in the central and southern Yellow Sea had achieved a certain degree of recovery. Interannual variability in population density further revealed an uneven and spatially unbalanced recovery across regions. Results from the stock assessment model indicated that L. polyactis recruitment exhibited high interannual variability. Fishing pressure on this species remained low during 2001-2005, with its stock status in a healthy condition. After 2005, high fishing pressure led to a decline in the spawning stock biomass and impaired recruitment potential. However, with the reduction in fishing pressure in recent years, the population has shown signs of recovery. From 2023 to 2025, the fishing mortality coefficient (F) and spawning potential ratio (SPR) of L. polyactis performed better than their respective target reference points. Structural equation modelling clearly revealed the dominant drivers of stock dynamics. Fishing pressure is the primary cause of the decline in L. polyactis resources in the Yellow and Bohai Seas, with its impact far exceeding other factors (path coefficient of F: –1.26). Nevertheless, existing management measures (path coefficient: 0.30) and climatic conditions (path coefficient: 0.27) have supported resource conservation and recovery. The stock recovery of L. polyactis is constrained by the characteristics of unstable recruitment and spatial imbalance. The impacts of fishing pressure and climatic factors on the stock dynamics of L. polyactis are often exerted through their spatial distribution pattern. As a non-spatial approach, the stock assessment model used in this study is only capable of characterizing the temporal variations of stock status indicators of L. polyactis in the Yellow and Bohai Seas, and cannot reflect the spatial differences in stock status. Integrating spatiotemporal distribution patterns with stock status indicators suggests that relying solely on reference points (such as F or SPR thresholds) for management may mask the risk of localized resource decline. Without accounting for the spatial structural characteristics of the L. polyactis population, the recovery of the overall stock status in recent years indicated by the stock assessment model may mask the differences in recovery among distinct subpopulations, which could potentially lead to inappropriate management adjustments, such as the misallocation of fishing effort. Conducting resource assessments that incorporate spatial dimensions and implementing regionally differentiated resource management are key approaches to maintaining the productivity of L. polyactis populations in the Yellow and Bohai Seas and enhancing their resource sustainability. This study presents a novel integrated analytical framework that couples spatio-temporal distribution with stock status and their driving factors, which can be extended and applied to the analysis of population dynamics and the formulation of management strategies for exploited fish species in the Yellow and Bohai Seas and even global marine waters.

     

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