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淡水养殖池塘CO_(2)通量多时间尺度变化特征及其影响要素

Variation characteristics of CO_(2)flux and their impact on freshwater aquaculture pond at multi-temporal scales
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摘要 为探讨淡水养殖CO_(2)通量的多时间尺度变化特征及其影响因子,本研究以我国长江三角洲区域典型淡水养殖池塘为研究对象,基于涡度相关法(Eddy covariance,EC)测定的2016—2021年高频连续CO_(2)通量数据,对CO_(2)通量的多时间尺度变化特征及其环境、人为影响要素进行分析。结果表明:养殖池塘CO_(2)通量(以C计)存在明显的日变化、季节变化和年际变化特征,其年尺度交换量的变化范围为-671~1005 kg·hm^(-2)·a^(-1),年均值为(-74±688)kg·hm^(-2)·a^(-1),表现为CO_(2)的弱汇。CO_(2)通量在不同时间尺度的主控因子存在明显差异,其中在0.5 h尺度上,太阳辐射和气温分别是白天和夜晚CO_(2)通量的主要影响因子;日尺度和月尺度的CO_(2)通量则分别受太阳辐射和归一化植被指数(NDVI)调控,且CO_(2)通量与上述要素均呈显著负相关;年际尺度上,养殖池塘CO_(2)通量受饲料投入量与NDVI的共同作用,二者建立的回归方程可以解释64%的CO_(2)年总通量变化,其中CO_(2)排放量随饲料投入量的增加呈线性增加(R2=0.55,P<0.05)。根据本研究结果,建议在未来可将提高饲料利用率作为控制养殖水体温室气体排放、改善水体生态环境、实现水产养殖业可持续发展的重要途径。 In order to investigate variation characteristics of CO_(2)fluxes at multi-temporal scales and identify their impact factors,high frequency CO_(2)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 CO_(2)flux and its environmental and anthropogenic factors were analyzed.The results clearly showed daily,seasonal and interannual variations in CO_(2)flux.The annual amount of CO_(2)flux(calculated in C)ranged from-671 kg·hm^(-2)·a^(-1)to 1005 kg·hm^(-2)·a^(-1)with an average value of(-74±688)kg·hm^(-2)·a^(-1),indicating that the ponds were a weak CO_(2)sink.The main impact factors of CO_(2)flux at different temporal scales were not the same.At the half-hourly scale,solar radiation and air temperature controlled daytime and nighttime CO_(2)flux,respectively.At the daily and monthly scales,CO_(2)flux were regulated by solar radiation and normalized vegetation index(NDVI),respectively.Moreover,CO_(2)fluxes were negatively and significantly correlated with these factors.At the annual scale,the CO_(2)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 CO_(2)flux variation.Furthermore,CO_(2)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.
作者 葛培 赵佳玉 张弥 肖薇 邱吉丽 贾磊 包恒鑫 石婕 赵若男 GE Pei;ZHAO Jiayu;ZHANG Mi;XIAO Wei;QIU Jili;JIA Lei;BAO Hengxin;SHI Jie;ZHAO Ruonan(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;College of Ocean and Meteorology,Guangdong Ocean University,Zhanjiang 524088,China;Meteorological Bureau of Pingtang County,Qiannan Prefecture,Guizhou Province,Qiannan 558000,China;Key Laboratory of Meteorology and Ecological Environment of Hebei Province,Shijiazhuang 050021,China)
出处 《农业环境科学学报》 CAS CSCD 北大核心 2024年第1期190-201,共12页 Journal of Agro-Environment Science
基金 国家重点研发计划项目(2020YFA0607501,2019YFA0607202) 国家自然科学基金项目(41575147,41975143)。
关键词 淡水养殖池塘 涡度相关法 CO_(2)通量 多时间尺度 影响因子 freshwater aquaculture pond eddy covariance method CO_(2)flux multi-temporal scale impact factor
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