Characterization of Tianjin Dashentang marine ranching ecosystem and determination of ecological capacity of its keystone species based on Ecopath model
HAN Xuan
GAO Yan
GUO Biao
ZHANG Bolun
ZENG Xiangxi
WANG Yu
WANG Shuo
ZHANG Xue
YU Ying
LIU Xianbin
Abstract：To study the impact of marine ranching construction on ecosystem energy flow and provide a reference for later ecological restoration,the ecological model of marine ranching area and contrast area consisting of 14 and 15 functional group was built with Ecopath model.The data stemmed from the ec-ological research data of Tianjin Dashentang National Marine Ranching Demonstration Area in Tianjin Shallow-sea area in 2020.the model simulated the ecosystem well.The results showed that the ecosys-tem structure of the fish marine ranching area is similar with the contrast area,and the benthic organ-isms are abundant.However,the structure of high trophic level part of food web was simple.Com-pared with the contrast area,the total primary production/total respiration(TPP/TR),connectance index(CI),system omnivory index(SOI)and Finn's mean path length(FMPL)in the marine ranc-hing area were 1.14,0.448,0.255 and 3.942,respectively,better than those in the control area(1.16,0.408,0.106 and 3.072,respectively).These findings indicated that the marine ranching makes the structure of the ecosystem more complex,mature and stable.The key species in the marine ranching area were seabirds,Rapana venosa and Eucrate crenata.Through the simulation of the eco-logical capacity of R.venosa and E.crenata biomass,it was concluded that the ecological capacity of R.venosa under this condition is 21.50 t·km-2,and the current biomass has exceeded the maximum sustainable yield,10.75 t·km-2.The follow-up work should focus on the introduction of other medi-um andswimming animals at high trophic levels,so that the growth of economic benefits and the im-provement of ecological restoration efficiency can be achieved.
Keywords：DashentangEcopath modelecosystem structureecological efficiencyecological capaci-tystatic simulation
Publication Date：2025-06-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：11( 175-185 )