首页产品应用典型案例文献速递| 大气和下垫面条件对辽河三角洲湿地CO2通量的影响

文献速递| 大气和下垫面条件对辽河三角洲湿地CO2通量的影响

来源：北京力高泰科技有限公司发布日期：2017-11-06 15:55:27 浏览次数：2087

近日，沈阳农业大学梁成华教授等几位学者在生态学期刊《Water》上发表了题为“Atmospheric and Surface-Condition Effects on CO₂ Exchange in the Liaohe Delta Wetland, China”的论文。该论文采用涡度协方差【1】的方法，研究了辽河三角洲芦苇湿地CO2的通量。下面是中英文摘要。

摘要
在2012到2015年间，采用涡度协方差方法，研究了辽河三角洲芦苇湿地的CO₂通量。同时，分析了当地环境因子—包括气象、植被、水文和土壤的变化。结果表明，在这四年间，该地区的CO₂浓度变化趋势和全球变化整体趋势保持基本一致。该地区平均每年的CO₂累积量是2.037kg·CO₂·m^-2，变化范围在1.472 到2.297kg·CO₂·m^-2之间。

该生态系统CO₂通量的季节特征如下。一般在每年的6月和7月，是CO₂在一年中的强吸收期；而每年4月以及9月到10月是一年中的强排放期。在整个观测期内，2015年7月是CO₂排放量最强的月份。

从2013到2015年间，该生态系统的平均温度，高于50年来的平均水平，主要是因为冬季气温偏高；平均降水量低于50年来的均值，主要是由于夏季降水的减少；在平均风速方面，低于50年来的均值；且日照时数逐年递减。

CO₂通量和环境因子在一定程度上存在相关性。使用偏最小二乘法分析了气象、植被、水文和土壤对CO₂通量的贡献率。水分和土壤温度对CO₂通量的变异影响显著。采用显著贡献因子，建立了CO₂收支的回归方程。这些因子包括温度、降水、相对湿度、水位、盐分和生物量，该模型拟合可解释CO₂通量的70%。

关键词：湿地；CO₂通量；环境因子；特征；贡献；预测

Abstract
The eddy covariance method was used to study the CO₂ budget of the Liaohe Delta reed wetland in northern China during 2012–2015. The changes in environmental factors (including meteorology, vegetation, hydrology, and soil) were analyzed simultaneously. The change in the trend of the CO₂ concentration in the reed wetland was similar to global changes over the four years. The average annual CO₂ accumulation was 2.037 kg·CO₂·m^-2, ranging from 1.472 to 2.297 kg·CO₂·m^-2. The seasonal characteristics of the CO₂ exchange included high CO₂ absorption in June and July, and high emissions in April and from September to October, with the highest emissions in July 2015. The average temperatures from 2013 to 2015 were higher than the 50-year average, largely due to increased temperatures in winter. Precipitation was below the 50-year average, mainly because of low precipitation in summer. The average wind speed was less than the 50-year average, and sunshine duration decreased each year. The CO₂ exchange and environmental factors had a degree of correlation or consistency. The contribution of meteorology, vegetation, hydrology, and soil to the CO₂ budget was analyzed using the partial least squares method. Water and soil temperature had a greater effect on the CO₂ exchange variability. The regression equation of the CO₂ budget was calculated using the significant contributing factors, including temperature, precipitation, relative humidity, water-table level, salinity, and biomass. The model fit explained more than 70% of the CO₂ exchange, and the simulation results were robust.

Keywords: wetland; CO₂ exchange; environmental factors; characteristics; attribute; prediction

源/Jia, Q.; Yu, W.; Zhou, L.; Liang, C.Atmospheric and Surface-Condition Effects on CO₂ Exchange in the Liaohe Delta Wetland, China. Water 2017, 9, 806.

延伸阅读

【1】涡度协方差是一种原位、直接测定生态系统与大气间物质与能量通量的方法。其中，以美国LI-COR公司提供的系统解决方案最为高效、稳定、完整。