Comparative Analysis of Photovoltaic Fishery Breeding Ponds Based on Ecopath Model
GUO Zeyu1,2, LIU Xingguo2, CHEN Zhe1,2, YUAN Zehui1,2, LU Shimin2
1. College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China; 2. Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200092, China
Abstract：In order to quantitatively analyze the energy flow characteristics in the pond systems of fishery and photovoltaic aquaculture, energy flow characteristics were measured in the pond systems of fishing photovoltaic greenhouse and photovoltaic fishery pond in Chongming District, Shanghai (N 121°49', E 31°33') from June 2023 to January 2024. Based on the measured data, the energy flow characteristics were analyzed in the two photovoltaic fishery ponds using Ecopath with Ecosim 6.5 software. The results showed that the main energy flow ways was found to be the grazing food chain in the photovoltaic fishery pond system, with the maximum effective trophic level (ETL) of 2.448, and to be the saprophytic food chain in the fishing photovoltaic greenhouse system, with the maximum ETL of 2.446. There was the maximal ecotrophic efficiency (EE) of 0.95 for phytoplankton in the photovoltaic fishery pond, and the maximal EE of 0.93 for Pacific white shrimp Litopenaeus vannamei in the fishing photovoltaic greenhouse, with food conversion ratio of 1.32 and 1.03, respectively. The zooplankton had EE values of less than 0.5 in both fishery photovoltaic pond and the fishing photovoltaic greenhouse, indicating that zooplankton cannot be effectively utilized by the systems, with low EE. The ecological niche overlap analysis revealed that the predator overlap index in the two ponds was similar, but the relatively high prey overlap index in the fishery photovoltaic pond, indicating that greater predation pressure from the predator in the fishery photovoltaic pond. Wholly, fishery photovoltaic pond was superior to the fishing photovoltaic greenhouse in terms of system maturity, with high development potential in both systems. The diversity of the system and the stability of the ecosystem can be improved by change in the breeding variety or addition of functional groups.
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2025, Vol. 44 
