长三角地区稻麦轮作生态系统净碳交换及其环境影响因子

Characteristics of net ecosystem exchange and environmental factors of rice-wheat rotation system in the Yangtze River Delta of China

  • 摘要: 采用涡度相关技术对我国长三角地区典型稻麦轮作农田生态系统(2011年11月—2012年10月)的CO2通量进行连续观测, 分析了农田生态系统净碳交换(NEE)的变化特征及其环境影响因子。结果表明: 长三角地区稻麦轮作生态系统NEE具有明显的日变化和季节变化特征, 具有很强的固碳能力。NEE月平均日变化总体呈“U”型曲线, 不同月份“U”型高度不同; NEE季节变化则呈显著的“W”型双峰特征, 分别对应两季作物(小麦、水稻)的生长季节。小麦/水稻月平均最大碳吸收峰出现在4月/8月, 分别达到1.12 mg·m-2·s-1、1.45 mg·m-2·s-1; 日最大累积碳吸收量分别为12.88 g(C)·m-2·d-1、10.63 g(C)·m-2·d-1, 长三角地区稻麦轮作生态系统年固碳量达到769.61 g(C)·m-2·a-1。光合有效辐射是影响白天NEE的主要环境影响因子, Michaelis-Menten方程可以很好地表示作物生长季节两者之间的关系(R2=0.37~0.83); 在同一光合有效辐射条件下, 长三角地区稻麦轮作生态系统白天NEE随着气温的升高而增加, 而当光合有效辐射大于1 800 μmol·m-2·s-1时存在着一定程度的光抑制。温度是影响夜间农田生态系统呼吸特征的主要环境影响因子, 长三角地区稻麦轮作生态系统夜间NEE与不同层次温度之间均存在显著的指数相关关系, 但是不同作物夜间NEE的最适温度略有差异, 小麦夜间NEE与土壤温度(10 cm)相关性最好(0.60), 而水稻夜间NEE与气温相关系数最高(0.49)。

     

    Abstract: Agro-ecosystem is one of the terrestrial ecosystems under intensive control and human disturbance. The estimation of carbon (C) source or sink in agro-ecosystems is a focal research in global C-cycle studies. As carbon dioxide (CO2) is generally the main greenhouse gas with significant effect on climate change, there has been a growing interest in analyzing and understanding C-flux from agro-ecosystems as affected by regional environmental conditions. To determine diurnal and seasonal variations in net ecosystem exchange (NEE) and to explore the effects of environmental factors, CO2 flux was contAgro-ecosystem is one of the terrestrial ecosystems under intensive control and human disturbance. The estimation of carbon (C) source or sink in agro-ecosystems is a focal research in global C-cycle studies. As carbon dioxide (CO2) is generally the main greenhouse gas with significant effect on climate change, there has been a growing interest in analyzing and understanding C-flux from agro-ecosystems as affected by regional environmental conditions. To determine diurnal and seasonal variations in net ecosystem exchange (NEE) and to explore the effects of environmental factors, CO2 flux was continuously measured in 20112012 using the eddy covariance technique in rice-wheat rotation system in the Yangtze River Delta. During the study, eddy covariance measurement together with measurements of various soil and meteorological conditions were taken for two full growing seasons per year. To derive complete time series of NEE, flux partitioning and gap-filling methods were devised. The results showed significant trends of monthly average diurnal and seasonal variations in NEE in rice-wheat rotation system with a large C-sequestration capacity. Monthly average diurnal variations in NEE for different months depicted a U-shaped curve with varying peak values, the maximum peaks appearing at about 12:00 at noon. Seasonal variation in NEE tracked a W-shaped curve in the year for the two crops (winter wheat and summer rice). Maximum daily net CO2 uptake reached 1.12 mg·m2·s-1 in April for wheat and 1.45 mg·m2·s-1 in August for rice. At the same time, daily cumulative C-uptake of wheat and rice reached the maximum values of 12.88 g(C)·m2·d-1 and 10.63 g(C)·m2·d-1, respectively. The rice-wheat rotation system in the Yangtze River Delta was a strong C-sink, with annual carbon fixation of 769.61 g(C)·m2·a-1 for the period 2011–2012. On the whole, the characteristics of NEE were closely related with crop growth and meteorological conditions. The environmental factors influencing NEE at daytime were different from those at nighttime for both winter wheat and summer rice. The main environmental factor impacting NEE was photosynthetically active radiation (PAR) during the daytime and the relationship between PAR and daytime NEE during the two crop growing seasons was well represented by Michaelis-Menten Equation (R2 = 0.370.83). NEE increased with rising temperature and PAR, and decreased when PAR exceeded 1 800 μmol·m2·s-1. Temperature was identified as the main environmental factor influencing NEE at nighttime. There was significant exponential correlation between nighttime NEE and temperature at different levels (air temperature, soil temperatures at 10 cm, 20 cm, and 40 cm depths) in rice-wheat rotation system in the Yangtze River Delta. However, the most related temperature level for nighttime NEE was driven by climatic conditions and crop growth. Correlation analysis of nighttime NEE and temperature suggested that 10 cm depth soil temperature was the most related for winter wheat and air temperature most related for summer rice. To further explore the relationship between temperature and nighttime NEE, there was need for monitoring nighttime fluxes with the combined use of eddy covariance and chamber-based method.

     

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