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黄雅茹, 马迎宾, 李永华, 李帅, 张格, 刘湘杰, 董雪. 库姆塔格沙漠东南部生长季胡杨液流速率动态与气象因子的关系[J]. 植物科学学报, 2021, 39(3): 247-257. DOI: 10.11913/PSJ.2095-0837.2021.30247
引用本文: 黄雅茹, 马迎宾, 李永华, 李帅, 张格, 刘湘杰, 董雪. 库姆塔格沙漠东南部生长季胡杨液流速率动态与气象因子的关系[J]. 植物科学学报, 2021, 39(3): 247-257. DOI: 10.11913/PSJ.2095-0837.2021.30247
Huang Ya-Ru, Ma Ying-Bin, Li Yong-Hua, Li Shuai, Zhang Ge, Liu Xiang-Jie, Dong Xue. Relationships between meteorological factors and Populus euphratica Oliv. sap flow at different time scales in the southeast of Kumtag Desert[J]. Plant Science Journal, 2021, 39(3): 247-257. DOI: 10.11913/PSJ.2095-0837.2021.30247
Citation: Huang Ya-Ru, Ma Ying-Bin, Li Yong-Hua, Li Shuai, Zhang Ge, Liu Xiang-Jie, Dong Xue. Relationships between meteorological factors and Populus euphratica Oliv. sap flow at different time scales in the southeast of Kumtag Desert[J]. Plant Science Journal, 2021, 39(3): 247-257. DOI: 10.11913/PSJ.2095-0837.2021.30247

库姆塔格沙漠东南部生长季胡杨液流速率动态与气象因子的关系

Relationships between meteorological factors and Populus euphratica Oliv. sap flow at different time scales in the southeast of Kumtag Desert

  • 摘要: 通过对库姆塔格沙漠东南部胡杨(Populus euphratica Oliv.)液流速率及气象因子(太阳总辐射、风速、空气相对湿度、空气温度、饱和水汽压差)持续5个月的同步观测,揭示气象因子在不同时间尺度对胡杨液流的影响。结果显示:在月尺度下,太阳总辐射是液流速率变化的主要影响因子,单独能解释98.3%的液流速率变化;在日尺度下,空气温度、空气相对湿度、风速、太阳总辐射对液流速率变化影响最大,空气温度可以解释液流速率变化的33.0%,4个因子共同可以解释55.2%的液流速率变化;在小时尺度下,对2018年5-9月液流速率的影响最大的是太阳总辐射。随着时间尺度的扩大,对液流速率变化的影响因子由多变少。根据气象因子预测小时尺度胡杨液流速率需要较多的参数且可靠性最小,预测月尺度液流速率需要较少的参数且可靠性最大,预测月尺度胡杨液流速率更为合适。

     

    Abstract: Populus euphratica Oliv. sap flow and meteorological factors (i.e., total solar radiation, wind speed, air temperature, air humidity, and vapor pressure deficit) were observed synchronously for five months to reveal the impact of such factors on sap flow at different time scales. Results showed that on the monthly scale, total solar radiation was the main factor influencing sap flow of P. euphratica, explaining 98.3% of sap flow changes. On the daily scale, air temperature, air humidity, wind speed, and total solar radiation had the greatest influence on changes in the sap flow rate, with air temperature explaining 33.0% of sap flow changes, and all four factors explaining 55.2% of sap flow changes. On the hourly scale, total solar radiation had the greatest impact on sap flow in May to September 2018. With the increase in time scale, fewer factors affected the flow rate change. Predicting P. euphratica sap flow on an hourly scale based on meteorological factors required more parameters and showed the least reliability. Predicting the monthly sap flow rate required fewer parameters and showed the maximum reliability. Thus, predicting the sap flow rate of P. euphratica would be more appropriate at the monthly scale.

     

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