植物生态学报 ›› 2006, Vol. 30 ›› Issue (2): 261-267.DOI: 10.17521/cjpe.2006.0035

• 研究论文 • 上一篇    下一篇

水稻叶片气孔导度与冠层反射光谱的定量关系分析

田永超, 朱艳, 姚霞, 周昌俊, 曹卫星*()   

  1. 南京农业大学/江苏省信息农业高技术研究重点实验室,南京 210095
  • 接受日期:2005-02-23 发布日期:2006-03-30
  • 通讯作者: 曹卫星
  • 作者简介:*E-mail: caow@njauedu.cn.
  • 基金资助:
    国家“863”计划(2002AA243011);江苏省自然科学基金(BK2003079);高校博士点基金(20030307017)

QUANTITATIVE RELATIONSHIPS BETWEEN CANOPY SPECTRAL REFLECTANCE AND LEAF STOMATAL CONDUCTANCE IN RICE

TIAN Yong_Chao, ZHU Yan, YAO Xia, ZHOU Chang_Jun, CAO Wei_Xing*()   

  1. Hi-Tech Key Laboratory of Information Agriculture, Jiangsu Province, Nanjing Agricultural University, Nanjing 210095, China
  • Accepted:2005-02-23 Published:2006-03-30
  • Contact: CAO Wei_Xing

摘要:

研究了不同土壤水氮条件下水稻(Oryza sativa)叶片气孔导度与冠层光谱反射特征的量化关系。结果表明,不同水分处理下,水稻不同叶位气孔导度变化趋势为:GsL1>GsL2>GsL3>GsL4。高于W3水分条件下,高氮处理的叶片气孔导度高于低氮处理,而低于W3水分条件下,高低氮处理条件下叶片气孔导度差异不显著。发现比值指数R(1 650,760)与不同叶位叶片及不同层次叶片气孔导度的相关性大小为:GsL1>GsL12>GsL123>GsL1234>GsL2>GsL3>GsL4(水稻顶部自上而下第一、二、三、四叶以及自上而下顶部2张、3张、4张叶片的气孔导度值分别表示为:GsL1、GsL2、GsL3、GsL4、GsL12、GsL123和GsL1234),而顶1叶气孔导度与叶面积指数的乘积(冠层叶片气孔导度)同比值指数R(1 650,760)相关程度更高。R(1 650,760)与顶1叶和冠层叶片气孔导度之间皆呈极显著的幂函数负相关。利用不同年份的不同水稻试验对两者的监测模型进行了检验,模型的检验误差RMSE分别为0.05和0.24,表明比值指数R(1 650,760)可以较好地监测不同水氮条件下水稻叶片的气孔开闭特征。

关键词: 水稻, 气孔导度, 反射光谱, 植被指数, 监测

Abstract:

This investigation was conducted to determine the quantitative relationship between leaf stomatal conductance and canopy spectral reflectance of rice crops under different water and nitrogen regimes. Results showed that leaf stomatal conductance on main stem leaves under different water treatments decreased in the following order throughout the growth cycle: GsL1 > GsL2 > GsL3 > GsL4. The leaf stomatal conductance in the high nitrogen treatment was higher than in the low nitrogen treatment when the soil water content was above W3. Below W3, there were no significant differences in leaf stomatal conductance between the high and low nitrogen treatments. It also was found that the correlation between the ratio index R(1 650, 760) and stomatal conductance averaged over different layer leaves was the following: GsL1 > GsL12 > GsL123 > GsL1234 > GsL2 > GsL3 > GsL4 (GsL1, GsL2, GsL3, GsL4, GsL12, GsL123 and GsL1234 denoted the first, second, third, fourth leaf and two leaves, three leaves, four leaves from top). The best relationship was between canopy stomatal conductance (the product of GsL1 and LAI) and R(1 650, 760). The ratio index R(1 650, 760) showed a power relationship with both stomatal conductance of L1 and canopy leaf stomatal conductance with an RMSE of 0.05 and 0.24, respectively. It was concluded that the ratio index R can be used to monitor leaf stomatal conductance during different growth stages of rice.

Key words: Rice, Stomatal conductance, Reflectance spectra, Vegetation index, Monitoring