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黄渤海小黄鱼种群动态及其驱动因素OA

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

中文摘要英文摘要

[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.

Accurate assessment of fishery population dynamics and their driving factors is fundamental to the scientific man-agement of fishery resources.The Yellow and Bohai Seas serve as crucial habitats for numerous fishery organisms,underpin-ning 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 abund-ance 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 distribu-tion 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 distri-bution 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 fur-ther 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 bio-mass 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 dom-inant 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 meas-ures(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 dis-tribution 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 differ-ences 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.

韩青鹏;单秀娟;吴强;金显仕;滕广亮;王乐颜

中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,农业农村部海洋渔业与可持续发展重点实验室,山东 青岛 266071||山东长岛近海渔业资源国家野外科学观测研究站,山东 烟台 265800中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,农业农村部海洋渔业与可持续发展重点实验室,山东 青岛 266071||山东长岛近海渔业资源国家野外科学观测研究站,山东 烟台 265800中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,农业农村部海洋渔业与可持续发展重点实验室,山东 青岛 266071中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,农业农村部海洋渔业与可持续发展重点实验室,山东 青岛 266071||山东长岛近海渔业资源国家野外科学观测研究站,山东 烟台 265800中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,农业农村部海洋渔业与可持续发展重点实验室,山东 青岛 266071中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,农业农村部海洋渔业与可持续发展重点实验室,山东 青岛 266071

农业科技

小黄鱼资源评估时空分布渔业管理黄渤海

Larimichthys polyactisstock assessmentspatio-temporal modelingfishery managementYellow and Bohai Seas

《水产学报》 2026 (4)

6-22,17

国家重点研发计划(2024YFD2400400)国家自然科学基金(32403027)山东省泰山学者专项黄渤海渔业资源与生态创新团队(2023TD01) National Key Research and Development Program of China(2024YFD2400400)National Natural Science Foundation of China(32403027)Taishan Scholar ProjectInnovation Team of Fishery Resources and Ecology in the Yellow and Bohai Seas(2023TD01)

10.11964/jfc.20260115302

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