Carbon emissions and economic performance of high-density versus traditional Ctenopharyngodon idella aquaculture: evidence from life cycle assessment methodology and field measurements
摘要
This study evaluates the potential of high-density aquaculture to reduce carbon emissions and enhance economic benefit compared to traditional systems, focusing on Ctenopharyngodon idella farming. A carbon footprint analysis based on life cycle assessment (LCA) methodology, combined with field monitoring data, was used to quantify greenhouse gas emissions—specifically CO2, CH4, and N2O—and assess economic benefits. The findings reveal that carbon emissions per unit of output (fish) in high-density systems are 33.5% lower than in traditional systems (5.07 kg CO2eq/kg) based on theoretical calculations. Empirical data further confirm this trend, showing emissions at 1.34 kg CO2eq/kg in high-density systems compared to 2.18 kg CO2eq/kg in traditional systems. The primary sources of emissions were identified as the decomposition of fish excreta and residual feed, contributing 41.4% and 50.4% of total emissions in traditional and high-density systems, respectively. Notably, CH4 emissions in the high-density system (0.0038 kg CO2eq/kg) were significantly lower than that in the traditional system (0.0237 kg CO2eq/kg). Dissolved organic carbon (DOC) and ammonia nitrogen (NH4+-N) as key drivers of CO2 and CH4 emissions, while higher available phosphorus (Olsen-P) concentrations were found to inhibit N2O production. Meanwhile, the high-density aquaculture system achieved a net benefit of 5.75 RMB/kg, an increase of 79.0% compared to the traditional system (1.21 RMB/kg), while its economic benefit per kilogram of carbon emissions (1.55 RMB/kg CO2eq) exceeded traditional aquaculture by 84.5%. These findings show that high-density aquaculture reduces carbon emissions and increases economic returns, offering insights for optimizing low-carbon, efficient systems and supporting the sustainable shift toward carbon neutrality in regional practices.
Graphical Abstract