文章摘要
我国东部典型内源和外源性静态水体N2O排放与生态系统呼吸的关系初探
Preliminary study of the relationship between N2O emission and ecosystem respiration in typical endogenous and exogenous static water bodies in eastern China
投稿时间:2023-05-09  
DOI:10.13254/j.jare.2023.0302
中文关键词: 贝叶斯方法,N2O排放通量,生态系统呼吸,内源性水体,外源性水体
英文关键词: Bayesian method, N2O flux, ecosystem respiration, endogenous water bodies, exogenous water bodies
基金项目:国家自然科学基金项目(42177401)
作者单位E-mail
李春旺 湖南农业大学环境与生态学院, 长沙 410128
中国科学院南京土壤研究所, 江苏常熟农田生态系统国家野外观测研究站, 南京 210018 
 
王华 湖南农业大学环境与生态学院, 长沙 410128 wangchina926@hunau.edu.cn 
淦冲 中国科学院南京土壤研究所, 江苏常熟农田生态系统国家野外观测研究站, 南京 210018  
赵学梅 中国科学院南京土壤研究所, 江苏常熟农田生态系统国家野外观测研究站, 南京 210018  
张声权 中国科学院南京土壤研究所, 江苏常熟农田生态系统国家野外观测研究站, 南京 210018  
颜晓元 中国科学院南京土壤研究所, 江苏常熟农田生态系统国家野外观测研究站, 南京 210018  
夏永秋 中国科学院南京土壤研究所, 江苏常熟农田生态系统国家野外观测研究站, 南京 210018 yqxia@issas.ac.cn 
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中文摘要:
      内陆水体是大气中N2O的重要排放源,受到国内外广泛关注,为了探讨水生生态系统中水体N2O排放通量与生态系统呼吸的响应关系,本研究以我国东部典型外源性和内源性静态水体为研究对象,在2022年4月29日—5月4日对10个表层水体N2O排放通量和生态系统呼吸指标进行测定,结合贝叶斯方法初步探讨了水体N2O排放通量和生态系统呼吸之间的关系。结果表明:外源性水体N2O排放通量和生态系统呼吸均显著高于内源性水体(P<0.05),水体N2O排放通量与CO2排放通量和BOD5均呈显著正相关关系(P<0.05)。通过贝叶斯方法构建了水体N2O排放通量与生态系统呼吸(CO2和BOD5)之间的数学模型,可解释水体N2O排放通量变异性的61%~71%,并且明确了模拟结果的不确定性。此外,本研究进一步区分了内源性水体与外源性水体N2O排放通量和生态系统呼吸的关系,在内源性水体中,N2O的产生受碳源限制的影响大于氮源限制,而在外源性水体中N2O排放通量与CO2排放通量的耦合关系大于内源性水体。研究表明,生态系统呼吸与水体N2O排放通量间有很强的响应关系,本研究为区域水体N2O排放通量估算方法和生态系统呼吸耦合机制研究提供了基础。
英文摘要:
      Inland waters emit large amounts of nitrous oxide(N2O)to the atmosphere, which has attracted extensive attention worldwide. The goal of this study was to investigate the relationship between N2O flux and ecosystem respiration(ER)in aquatic ecosystems. We measured N2O and ER in 10 typical exogenous and endogenous static water bodies in eastern China and identified the relationship between N2O flux and ER in the aquatic environments using a Bayesian method from April 29 to May 4, in 2022. The results showed that N2O flux and ER were significantly higher in exogenous water bodies than in endogenous water bodies. There was a significant positive correlation between N2O flux and carbon dioxide(CO2)flux and BOD5 in the water. The Bayesian model explained 61% to 71% of the variability of N2O flux and clarified the uncertainty of the model. We also distinguished the relationship between N2O flux and ER in endogenous and exogenous water bodies. In endogenous water bodies, the effect of carbon source limitation on N2O flux is greater than the effect of nitrogen source limitation. However, the coupling relationship between N2O and CO2 is stronger in exogenous water bodies than in endogenous water bodies. In summary, ER indirectly promotes N2O emission, which provides a basis for an estimation method of N2O flux from water bodies and the coupling mechanism of ER.
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