中国海洋大学学报（自然科学版）2024，Vol.54Issue(2)：63-72,10.DOI:10.16441/j.cnki.hdxb.20220458
基于Ecopath模型的长山列岛邻近海域褐牙鲆增殖生态容量研究
Ecological Carrying Capacity of Paralichthys olivaceus of the Adjacent Waters of Changshan Islands Estimated with Ecopath Model
摘要
Abstract
Ecological carrying capacity of enhanced species is fundamental to the implementation of stock enhancement.In order to provide a reference for determining the reasonable release number of Paralichthys olivaceus enhancement in the adjacent waters of Changshan Islands,an Ecopath model consisted of 29 functional groups of the Changshan Islands ecosystem was developed based on the data of the fishery resources and ecological environment in the adjacent waters of Changshan Islands collected in 2016 and 2017.The overall energy flow characteristics of the ecosystem were examined,and the ecological carrying capacity of P.olivaceus in stock enhancement was assessed using the Ecopath model.The results showed that the trophic levels of functional groups varied between 1.00 and 4.57 in the adjacent waters of Changshan Islands ecosystem.The total energy conversion efficiency was 6.23%.The total primary production/total respiration(TPP/TR)was 1.47,and total primary production/total biomass(TPP/TB)was 26.87.Finn's cycling index was low(FCI =6.91%)and system connectance index was low(CI=0.24).In the adjacent waters of Changshan Islands ecosystem,the ecological carrying capacity of P.olivaceus was 0.014 3 t·km-2,which was 1.55 times the current biomass of P.olivaceus.The total energy conversion efficiency increased a little when the biomass of P.olivaceus reached the ecological capacity,which did not have impact on total consumption,total export and other parameters in the adjacent waters of Changshan Islands ecosystem.关键词
褐牙鲆/长山列岛/Ecopath模型/生态容量/能量流动Key words
Paralichthys olivaceus/Changshan Islands/Ecopath model/ecological carrying capacity/energy flow分类
农业科技引用本文复制引用
徐晓卉,尹洁,刘淑德,纪毓鹏,薛莹,任一平,徐宾铎..基于Ecopath模型的长山列岛邻近海域褐牙鲆增殖生态容量研究[J].中国海洋大学学报（自然科学版）,2024,54(2):63-72,10.基金项目
国家重点研究发展计划项目(2019YFD0901204)资助Supported by the National Key Research and Development Program of China(2019YFD0901204) （2019YFD0901204）
