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ECOPATH模型是根据各生物功能组的能量输入与输出平衡,从而对生物资源能量流动进行静态评价。本文根据国际水生资源管理中心网站的东海区生物资源数据和历史文献资料数据,在建立包含32个功能组的东海区ECOPATH模型的过程中,从输入数据变化率(-50%～+50%)和估算数据变化率关系、输入数据生物量的变化率与估算数据生物量的变化率的关系以及输入数据生物量的变化率与估算数据生态转移效率的变化率关系三个方面,分析了东海区ECOPATH模型中数据的敏感性。发现输入数据变化率和估算数据变化率成e指数关系,在负值区间,数据的敏感性比正值区间的要大;不同功能组的输入数据生物量的变化率和估算数据生物量的变化率成线性正相关关系,斜率越大,敏感性越强;同功能组的输入数据生物量的变化率与估算数据生态转移效率的变化率成e指数关系,估算参数生态转移效率的变化率值的范围在-0.499～1.000之间;不同功能组的输入数据生物量的变化率与估算数据生态转移效率的变化率之间成线性正相关关系,斜率越大,敏感性越强。研究成果为东海区ECOPATH模型的建立,数据的选择和调整提供了科学依据。
The ECOPATH model balances the energy input and output of each bio-functional group to make a static assessment of the bio-energy flow. According to the data of East China Sea biological resources and historical documents from the website of the International Aquatic Resource Management Center, from the input data rate of change (-50% ~ + 50%) during the establishment of the ECOPATH model of East China Sea with 32 functional groups, And the relationship between the rate of change of estimated data and the rate of change of input data biomass as well as the rate of change of input data biomass and the rate of change of ecological transfer efficiency of estimated data, Sensitivity of the data in the ECOPATH model. It is found that the rate of change of input data and the rate of change of estimated data become e-index. In the negative interval, the sensitivity of data is larger than that of positive interval. The change rate of biomass and estimated biomass of different functional groups The linear relationship between the rate of biomass conversion and the rate of change of ecological transfer efficiency in the same functional group was e-index, and the rate of change of parameter ecological transfer efficiency was estimated Ranged from -0.499 to 1.000. There was a linear positive correlation between the rate of change of input data biomass and the rate of change of ecological transfer efficiency in different functional groups. The greater the slope, the stronger the sensitivity. The research results provide a scientific basis for the establishment of the ECOPATH model and the selection and adjustment of data in the East China Sea.