河海大学学报（自然科学版）2026，Vol.54Issue(2)：72-81,10.DOI:10.3876/j.issn.1000-1980.2026.02.009
基于Ecopath模型的木兰溪河口生态系统营养结构和能量流动分析
Analysis of trophic structure and energy flow in ecosystem of the Mulan River Estuary based on Ecopath model
摘要
Abstract
Based on the ecological survey data in 2022,the Ecopath models of the Mulan River Estuary and its upstream and downstream control areas(river area and bay area)were constructed,and the trophic structures,energy flow characteristics,and overall system characteristics of the three ecosystems were comparatively analyzed.The results indicate that the trophic structures of the Mulan River Estuary,river,and bay ecosystems are all pyramid-shaped,and the structural complexity from low to high is river,estuary,and bay,successively;the energy flows in the three ecosystems are mainly concentrated in trophic levels Ⅰ-Ⅲ,with energy flow proportions all above 99%;the total energy transfer efficiency(TE)of the estuary ecosystem is relatively low(0.9%);benthos and phytoplankton are the key trophic communities affecting the estuary ecosystem;the ratio of primary production to respiration(3.33),Finn's cycling index(0.085),and Finn's mean path length(2.683)of the Mulan River Estuary are between those of the river and the bay,while the connectance index(0.32)and system omnivory index(0.051)are the smallest,indicating that the estuary ecosystem is still in an immature and unstable stage;the increases in NO3-N and CODMn may affect the maturity and complexity of the ecosystems;it is recommended to improve water quality by implementing reasonable and effective water environment treatment measures and to improve the maturity and stability of the estuary ecosystem by moderately increasing the stock enhancement and release quantity and species of herbivorous and carnivorous fishes.关键词
营养结构/能量流动/生态系统特征/Ecopath模型/木兰溪河口Key words
trophic structure/energy flow/ecosystem characteristic/Ecopath model/the Mulan River Estuary引用本文复制引用
王雨阳,李轶,牛丽华,王龙飞,郑金海..基于Ecopath模型的木兰溪河口生态系统营养结构和能量流动分析[J].河海大学学报（自然科学版）,2026,54(2):72-81,10.基金项目
国家重点研发计划项目(2024YFC3214400) （2024YFC3214400）
国家自然科学基金项目(52170158) （52170158）
