机构地区:[1]上海海洋大学海洋科学学院,上海201306 [2]国家远洋渔业工程技术研究中心,上海201306 [3]大洋渔业资源可持续开发教育部重点实验室,上海201306 [4]农业农村部大洋渔业资源环境科学观测实验站,上海201306 [5]浙江省海洋水产养殖研究所,浙江温州325005
出 处:《海洋渔业》2023年第5期532-543,共12页Marine Fisheries
基 金:国家自然科学基金(31902372,41906074);上海海洋大学青年教师科研启动基金(210021);温台渔业资源专项调查项目(158053)。
摘 要:为了解前肛鳗(Dysomma anguillare)的摄食习性及营养级状况,基于2016年浙江南部近海的底拖网渔业调查,利用稳定同位素技术分析该海域前肛鳗的摄食生态学及其随季节和生长发育的变化情况。研究结果表明:1)前肛鳗δ^(13)C范围为-16.17‰~-14.73‰,平均值为(-15.19±0.31)‰;δ^(15)N范围为11.56‰~13.40‰,平均值为(12.42±0.45)‰,局部多项式回归显示δ^(13)C、δ^(15)N比值随个体发育呈上升趋势;2)单因素方差分析结果表明,前肛鳗不同发育阶段δ^(13)C值差异不显著(P>0.05),δ^(15)N值差异显著(P<0.05),不同季节间δ13C和δ15N值均存在显著性差异(P<0.05);3)贝叶斯混合模型MixSIAR计算得出,前肛鳗不同发育阶段各饵料类群的食源贡献率随肛长增长而发生变化,平均营养级较高的饵料生物平均贡献率随个体生长发育呈增高趋势;4)前肛鳗摄食存在季节差异,春秋两季除其他虾类的平均饵料贡献率高于夏冬两季外,其他5种饵料类群的平均饵料贡献率均低于夏冬两季;5)前肛鳗营养级随肛长增加而升高,其中肛长范围为81~90 mm的前肛鳗营养级最高,平均营养级为4.20±0.15,而肛长范围为51~60 mm的前肛鳗营养级最低,平均营养级为3.98±0.12。通过探究前肛鳗不同发育阶段和季节的食性和营养位置变化,可为今后开展基于生物不同发育阶段的食物网营养结构研究提供技术参考。Stable isotope technology is a powerful means to analyze the feeding habits of marine organisms.In order to understand the feeding habits and trophic level of Dysomma anguillare,the carbon and nitrogen stable isotope technology was applied to analyze the feeding ecology,diet shift characteristics among different seasons and ontogenetic stages based on the bottom trawl fishery survey data in the offshore waters of southern Zhejiang in February,May,August and November 2016.In this paper,samples of Dysomma anguillare were divided into four length groups:51-60 mm,61-70 mm,71-80 mm and 81-90 mm.The possible prey organisms were divided into six food source groups:Charybdis bimaculata,Oratosquilla oratoria,Solenocera crassicornis,other shrimps,other crabs and cephalopods.Stable isotopes analyses were carried out by measuring the^(13)C and ^(15)N of fish muscle tissue.The Pearson correlation analysis was used to test the correlation between δ^(13)C value,δ^(15)N value and trophic level with anal length.The one-way ANOVA was used to test whether there were significant differences in the carbon and nitrogen stable isotope ratios among different seasons.The local weighted regression was used to fit the variation trend of carbon and nitrogen stable isotope characteristics with ontogenetic stage.The feed items used the MixSIAR mixing model to determine the relative contribution of nutrient sources to fish growth.The results showed that δ^(13)C ranged from -16.17‰ to -14.73‰,with an average of(-15.19±0.31)‰,and δ^(15)N ranged from 11.56‰ to 13.40‰,with an average of(12.40±0.45)‰.Local weighted regression showed that the ratio of δ^(13)C and δ^(15)N increased with growth.There was no significant difference in δ^(13)C values(P>0.05),while significant difference was found in δ^(15)N values(P<0.05)at different ontogenetic stages based on one-way ANOVA.There were significant differences in δ^(13)C andδ^(15)N values(P<0.05)among different seasons.Bayesian mixed model MixSIAR was used to calculate the contribu
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