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作 者:王鹤松[1] 张劲松[1] 孟平[1] 高峻[1] 贾长荣 任迎丰
机构地区:[1]中国林业科学研究院林业研究所,国家林业局林木培育重点实验室,北京100091 [2]济源市国有大沟河林场,河南济源454650
出 处:《土壤通报》2009年第5期1031-1035,共5页Chinese Journal of Soil Science
基 金:科技部社会公益性项目(2003DIB4J142);国家十五攻关课题(2004BA510B11);黄河小浪底森林生态系统定位研究站基金资助项目部分研究内容
摘 要:于2006年1月~12月,分别采用Li-8100红外动态土壤呼吸自动观测系统、温度及湿度自动观测系统测定了华北石质山区30a生侧柏人工林土壤呼吸速率及土壤温度和湿度,分析了该人工林地土壤呼吸的时间变化特征及其与土壤温湿度的关系。结果表明:(1)侧柏人工林地土壤呼吸速率日内变化特征不明显,但日际及季节变化变化明显,全年呈现出单峰变化趋势,具体表现为:1月~4月中旬,土壤呼吸速率较低,日际值略有波动。土壤呼吸4月下旬开始增加并逐渐上升,直至7月达到最大值,尔后开始逐渐下降至12月后重新回落到1月~4月中旬时的较低水平。侧柏全年土壤呼吸速率的平均值为:2.09μmolm-2s-1,主要生长季(4~10月)土壤呼吸速率明显高于非主要生长季(1、2、11及12月),二者分别为3.08,0.67μmolm-2s-1。(2)侧柏人工林林地土壤呼吸速率与表层0cm、地下5、10、15和20cm深度处土壤温度都存在极显著的指数相关关系(P<0.01),且与土深10cm处温度的相关性最好。上述不同深度处的Q10值分别是2.11、2.38、2.49、2.72和2.80。(3)侧柏林地土壤呼吸速率与土壤含水量有显著的相关关系(P<0.01)。Soil respiration rate (SRR) of Platycladus Orientalis plantation as well as soil temperature and volumetric soil moisture were measured by an automatic, open chamber technique using infrared gas analysis in the hilly region of North-China during 2006, the soil temperature and moisture were measured by an automatic monitoring system. The SRR and its affecting factors were analyzed. The results showed that the diurnal variation of SRR was not remarkable, while the daily and seasonal variation was significant and displayed one single peak curve in the whole year, which basically accorded with the trend of the daily and seasonal variation of the soil temperature. The daily SRR was the lowest with slight fluctuation from January. to mid-April, and then rose quickly, it reached a maximum during July, then fell down gradually until November, when it approximated to that from January to mid-April. SRR in the main growth season (April to October) was markedly higher than that in the minor growth season, and they were 3.08 μmolm^-2 s^-1 and 0.67 μmolm^-2 s^-1 respectively. The annual average SRR was 2.09 μmolm^-2 s^-1. SRR was significantly (P〈0.01) correlated with the soil temperatures at each of the 0, 5,10, 15 and 20 cm depth, with the best correlation at 10 cm. The SRR exponentially increased in response to the soil temperature. The QIO was respectively 2.11,2.38,2.49,2.72 and 2.80 at the above different depths. There was significant relationship found between SRR and soil water content(P〈0.01 ).
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