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Spectral response of rice(Oryza sativa L.) leaves to Fe^(2.) stress

Science china(Life sciences) 2009年第8期52卷 747-753页

作者： chi guangyu1,2.chen xin1,{2.,Institute of applied {4.,chinese academy of sciences,shenyang 110016,china 2.Graduate School of chinese academy of sciences,Beijing 10004.,china 3 State key Joint laboratory of Environmental Simulation and Pollution Control,School of Environment,Beijing Normal University,Beijing 100875,china key laboratory of {2. ecological {4. Institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China Graduate School of chinese academy of {2. Beijing 100049 China State key Joint laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

In the management of lake eutrophication,the regulation effect of Fe is considered,in addition to the controlling nitrogen-and phosphorus *** on the "Fe hypothesis",this paper tentatively applied plant spectral response to the remote sensing early-warning mechanism of lake eutrophication.A laboratory water culture experiment with rice(Oryza sativa L.) was conducted to study Fe uptake by plants and the chlorophyll concentration and visible-near infrared spectrum of vegetable leaves as well as their interrelations under Fe2. *** spectral indices,i.e.,A1(integral value of the changes of spectral reflectivity in the range 4.0―670 nm under Fe2. stress),A2.integral value of the changes of spectral reflectivity in the range of 760―1000 nm under Fe2. stress) and S(blue-{2.ft range of red edge curve under Fe2. stress),were used to establish quantitative models about the relation{2.ps between the rice leaf spectrum and Fe2. *** the increase of Fe2. in a culture solution,the Fe content in rice plants increased,while the chlorophyll concentration in vegetative leaves *** spectral reflectivity of vegetable leaves increased in the visible light band but decreased in the near infrared band,and the blue-{2.ft range of the red edge curve *** indices A1,A2.and S all had significant correlations with the Fe content in rice leaves,the correlation coefficient being respectively 0.951(P 2.> 0.96) and predict the Fe level in rice leaves.

关键词： rice(Oryza sativa L.) spectrum Fe2. lake eutrophication

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