千烟洲人工林水汽通量特征及其与环境因子的关系
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Studies on water vapor flux characteristic and the relationship with environment factors over a planted coniferous forest in Qianyanzhou station
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    摘要:

    利用涡度相关技术研究了2004年千烟洲人工针叶林生态系统的水汽通量变化特征,结合气象要素的观测,进一步分析了净辐射、温度、水分、热量等环境因子对水汽通量的影响。结果表明:全年各月各时刻的水汽通量大多为正值,夏季大于春秋两季,冬季最小。其中7月份为全年最高,日最大值达到0.149g m-2•s-1;1月份最低,日最高值仅为0.021g m-2•s-1。不同天气条件下(晴天和多云)水汽通量的日变化有明显区别。全年蒸散量为736.1mm,占总降水量(1323.6mm)的55.6%。除7月份和10月份外,各月的蒸散量都要小于降水,尤以3、4月份差别最大,2004年10月出现典型的秋旱,但蒸散量和常年相差不大。水汽通量对净辐射、气温、地温、以及土壤热通量的变化都有很好的响应,两种天气条件下都能达到显著水平,可以用一元二次方程表达其间的关系。逐步回归分析显示晴天和多云时入选的变量不完全相同,晴天主要是净辐射、温度(气温、地温)、水分(饱和水汽压差),多云时包括净辐射、地温、土壤热通量和水分(空气相对湿度、土壤含水量)。可见气象条件在很大程度上制约着水汽通量的变化,而以辐射和地温的影响最大。

    Abstract:

    Water vapor flux over a planted coniferous forest ecosystem near Qianyanzhou, Jiangxi Province was continuously measured with the eddy covariance technique for the year of 2004. How environmental variables, including net radiation, air temperature, soil moisture affect water vapor flux variation was studied in detail. Results showed that the maximum monthly water vapor flux occurred in July, and the maximum daily water vapor flux reached 0.149 g m-2•s-1. While January has the lowest monthly water vapor flux value, the maximum daily water vapor flux in January was only 0.021 g m-2•s-1. The diurnal variation of water vapor flux showed different pattern for clear and cloudy days. Except in July and in October, water vapor flux for all other months was less than the precipitation. Although the monthly precipitation in October was only 0.6 mm, water vapor flux didn’t show a significant decrease as compared with previous years. The annual total evapotranspiration was 736.1mm, which was about 55.6% of the annual precipitation (1323.6 mm). Regression analysis showed that daily water vapor flux was significantly correlated with net radiation, air temperature, soil temperature and soil heat flux under both clear and cloudy days, all in quadratic relationships. Partial linear regression analysis indicated that on clear days relative humidity and air vapor pressure deficit have a relatively larger impact on water vapor flux than other variables. While on cloudy days relative humidity and soil moisture content have a larger impact on water vapor flux, even though not in a significant level. We didn’t find a significant relationship between wind speed and water vapor flux. Stepwise regression analysis demonstrated that different set of environmental factors controlled water vapor flux on days with different weather conditions. The most important environmental factors controlling water vapor flux were net radiation, air and soil temperature, and air vapor pressure deficit for clear days, and net radiation, soil temperature relative humidity,soil heat flux and soil moisture content for cloudy days. From this study, it was clear that these environmental variables, especially net radiation and soil temperature regulated water vapor flux over the planted coniferous ecosystem.

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李菊,刘允芬,杨晓光,李俊.千烟洲人工林水汽通量特征及其与环境因子的关系.生态学报,2006,26(8):2449~2456

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