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毛乌素湖盆滩地土壤温度对寸草苔生长的影响

乔晓英1,2,3*,马少阳1,候会芳1   

  1. 1长安大学环境科学与工程学院, 西安 710054; 2干旱区地下水文与生态效应教育部重点实验室, 西安 710054;3陕西省矿产资源勘查与综合利用重点实验室, 西安 710054)
  • 出版日期:2019-08-10 发布日期:2019-08-10

Effects of soil temperature on the growth of Carex duriuscula in Mu Us bottomland.

QIAO Xiao-ying1,2,3*, MA Shao-yang1, HOU Hui-fang1   

  1. (1College of Environmental Science and Engineering, Chang’an University, Xi’an 710054, China; 2Key Laboratory of Arid Area Goundwater and Ecological Effect of the Ministry of Education, Xi’an 710054, China; 3Shaanxi Key Laboratory of Mineral Resources Exploration and Comprehensive Utilization, Xi’an 710054, China).
  • Online:2019-08-10 Published:2019-08-10

摘要: 土壤水热状况影响植物的生长发育、分布以及群落稳定性。选择毛乌素湖盆滩地优势植物寸草苔(Carex duriuscula)进行温控实验,设置对照、升温Ⅰ、升温Ⅱ、降温处理4种土壤温度控温条件,定期测定寸草苔株高、穗数、叶绿素、丙二醛、可溶性糖。结果表明:(1)寸草苔生长指标中,株高与8月之前的土壤温度呈正相关,与8月之后的土壤温度呈负相关;(2)寸草苔生理指标中,丙二醛、可溶性糖在8月底到9月初与土壤温度呈正相关,9月中旬至10月份呈负相关;土壤升温或降温都不利于叶绿素合成。丙二醛、可溶性糖可作为寸草苔植物生长受土壤温度影响的指示参数;(3)构建以土壤温度为自变量、植物生长参数或植物生理参数为因变量的回归模型;土壤温度与穗数的指数模型因其拟合度高,可以预测土壤温度对寸草苔生长的影响。

关键词: 冬小麦, 叶绿素含量, 高光谱遥感, 平稳小波变换, 估算模型

Abstract: Soil hydrothermal conditions affect plant growth, species distribution, and community stability. Here, a temperaturecontrolling experiment was performed using Carex duriuscula, a dominant species in the Mu Us bottomland. There were four soil temperature conditions, including control, warming Ⅰ, warming Ⅱ, and cooling. Plant height, spike number, and the contents of chlorophyll, malondialdehyde and soluble sugar of C. duriusculawere measured periodically. The results showed that: (1) Plant height was positively correlated with soil temperature before August, but negatively correlated with soil temperature after August.  (2) The contents of malondialdehyde and soluble sugar of C. duriuscula were positively correlated with soil temperature from the end of August to the beginning of September and negatively correlated with soil temperature from midSeptember to October. Warming or cooling treatment inhibited chlorophyll synthesis. Malondialdehyde and soluble sugar could be used as indicators of the effects of soil temperature on plant growth. (3) Regression models with soil temperature as an independent variable and plant growth parameters or physiological parameters as dependent variables were constructed. The exponential model of plant spike number and soil temperature could be used to predict the effects of soil temperature on the growth of C. duriuscula due to the high fitting degree of the model.

Key words: winter wheat, chlorophyll content, hyperspectral remote sensing, stationary wavelet transform, estimation model.