多时空尺度下初级生产力对鲣种群丰度动态变化的时滞影响  

Time-lag effects of primary productivity on dynamics of Katsuwonus pelamis population abundance at multiple spatial and temporal scales

作　　者：王禹程 周成[1,3,4,5] 郭绍健 胡媛媛 倪泳一 吴峰[1,3,4,5] WANG Yucheng;ZHOU Cheng;GUO Shaojian;HU Yuanyuan;NI Yongy;WU Feng(l.College of Marine Living Resource Sciences and Management,Shanghai Ocean University,Shanghai 201306,China;Pingtairong Ocean Fishery Group Co.,Ltd.,Zhoushan Zhejiang 316100,China;National Distant-Water Fisheries Engineering Research Center,Shanghai Ocean University,Shanghai 201306,China;Key Laboratory of Sustainable Erploitation of Ocean Fisheries Resources,Ministry of Education,Shanghai Ocean University,Shanghai 201306,China;Key Laboratory of Erploitation of Ocean Fisheries Resources,Ministry of Agriculture and Rural Affairs,Shanghai Ocean University,Shanghai201306,China)

机构地区：[1]上海海洋大学海洋生物资源与管理学院,上海201306 [2]平太荣远洋渔业集团有限公司,浙江舟山316100 [3]上海海洋大学,国家远洋渔业工程技术研究中心,上海201306 [4]上海海洋大学,大洋渔业资源可持续开发教育部重点实验室,上海201306 [5]上海海洋大学,农业农村部大洋渔业开发重点实验室,上海201306

出　　处：《海洋渔业》2025年第2期163-174,共12页Marine Fisheries

基　　金：国家重点研发计划(2023YFD2401305);农业农村部全球渔业资源调查监测评估专项(D-8025-24-5001)。

摘　　要：鲣(Katsuwonus pelamis)是中西太平洋金枪鱼围网渔业的主要捕捞对象,其种群丰度变化受海洋环境及其滞后效应影响,探究鲣初级生产力与种群丰度的时滞关系有助于理解其生态驱动机制。利用2013—2020年中国金枪鱼围网渔船渔捞日志数据,基于捕捞产量(catch)、单位捕捞努力量渔获量(CPUE)和捕捞网次(effort)3种丰度指标与叶绿素a浓度(chl-a)之间分别建立了初级生产力-种群丰度的分布滞后线性模型,结果显示:1)chl-a和3种丰度指标均存在显著滞后关系;2)选择1 d、2 d、3 d、4 d和5 d 5种时间尺度时,鲣种群丰度变动响应chl-a的滞后时间无明显变化规律;3)选择0.25°×0.25°、0.5°×0.5°、1°×1°、2°×2°、3°×3°、4°×4°和5°×5°的空间尺度时,初级生产力对鲣种群丰度影响的滞后时间区间分别为0 d、0~2 d、1~4 d、2~6 d、3~7 d、5~10 d和7~11 d。结果表明,初级生产力对鲣种群丰度变化存在显著时滞影响,且滞后时间与区域空间大小相关。Skipjack tuna Katsuwonus pelamis is the main target of purse seine tuna fisheries in the Western and Central Pacific Ocean,with population abundance influenced by marine environmental factors and their lagged effects.Exploring the time-lag relationship between primary productivity and population abundance can help elucidate its ecological driving mechanisms.This article selected the fishing log data of China's tuna seine fishing vessels from 2013 to 2020,based on three abundance indicators:fishing yield(catch),standardized catch per unit effort(CPUE)and fishing set(effort),and established distributed lag linear models(DLLM)of primary productivity-population abundance with chlorophyll a(chl-a).The results showed:There was a significant lag relationship between chl-a and three abundance indicators;when the study adopted the time scale of 1 d,2 d,3 d,4 d and 5 d,the lag time of K.pelamis population abundance in response to chl-a had no obvious change pattern;when selecting the spatial scales of 0.25°×0.25°,0.5°×0.5°,1°×1°,2°×2°,3°×3°,4°×4°and 5°×5°,the lag time intervals for the impact of primary productivity on K.pelamis population abundance were 0 d,0-2 d,1-4 d,2-6 d,3-7 d,5-10 d and 7-11 d respectively.This study shows that primary productivity has a lagging effect on changes in K.pelamis population abundance,and the extent of the lagging effect is closely related to the size of the regional space.

关 键 词：鲣 初级生产力 多时空尺度 时滞影响 分布滞后线性模型 

分 类 号：S931[农业科学—渔业资源]