|
| Variation characteristics of CO2 flux and their impact on freshwater aquaculture pond at multi-temporal scales |
| Received:March 28, 2023 |
| View Full Text View/Add Comment Download reader |
| KeyWord:freshwater aquaculture pond;eddy covariance method;CO2 flux;multi-temporal scale;impact factor |
| Author Name | Affiliation | E-mail | | GE Pei | NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China | | | ZHAO Jiayu | College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China | jiayuzhao@gdou.edu.cn | | ZHANG Mi | NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China | zhangm.80@nuist.edu.cn | | XIAO Wei | NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China | | | QIU Jili | NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China | | | JIA Lei | NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China | | | BAO Hengxin | NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China | | | SHI Jie | Meteorological Bureau of Pingtang County, Qiannan Prefecture, Guizhou Province, Qiannan 558000, China | | | ZHAO Ruonan | Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China | |
|
| Hits: 715 |
| Download times: 473 |
| Abstract: |
| In order to investigate variation characteristics of CO2 fluxes at multi-temporal scales and identify their impact factors, highfrequency CO2 flux was continuously measured by the eddy covariance method from 2016 to 2021 in typical freshwater aquaculture ponds in the Yangtze River Delta, China. By using these data, the multi-temporal variation characteristics of CO2 flux and its environmental and anthropogenic factors were analyzed. The results clearly showed daily, seasonal and interannual variations in CO2 flux. The annual amount of CO2 flux（calculated in C）ranged from -671 kg·hm-2·a-1 to 1 005 kg·hm-2·a-1 with an average value of（-74±688）kg·hm-2·a-1,indicating that the ponds were a weak CO2 sink. The main impact factors of CO2 flux at different temporal scales were not the same. At the half-hourly scale, solar radiation and air temperature controlled daytime and nighttime CO2 flux, respectively. At the daily and monthly scales, CO2 flux were regulated by solar radiation and normalized vegetation index（NDVI）, respectively. Moreover, CO2 fluxes were negatively and significantly correlated with these factors. At the annual scale, the CO2 flux was influenced by both the amount of feed inputs and NDVI. The regression equation established by the two factors could explain 64% of the total annual CO2 flux variation. Furthermore, CO2 emissions increased linearly with the increase in feed inputs（R2=0.55, P<0.05）. Based on this study, improving feed utilization efficiency is suggested as an important way to control greenhouse gas emissions from aquaculture ponds, improve the ecological environment of water bodies, and sustainably develop the aquaculture industry in the future. |
|
|
|
