光合有效辐射比率(FPAR)是陆地生态系统碳循环研究的重要参数。根据FPAR的物理意义,本文提出了有效FPAR的概念:即叶绿素吸收的FPAR(FPARchl),利用模拟数据建立了有效FPAR信息模型。探讨了基于叶绿素含量估算有效FPAR的可行性,为进一步采用有效FPAR来估算NPP/GPP提供思路和途径。利用实测数据对有效FPAR模型进行验证表明:(1)叶片吸收的FPAR(FPARleaf)与有效FPAR(FPARchl)之间的差异较大。FPARchl通常不足FPARleaf的50%,两者之间虽存在一定的相关性,而这种相关性是非线性的;(2)叶绿素含量与FPARleaf的相关性较高,而与FPARchl的相关性更高,基于叶绿素含量可以以较高的精度估算FPARleaf和FPARchl经过验证,估算的平均相对误差分别为2.90%和6.6%;(3)应用模拟数据建立的FPARleaf及有效FPAR模型均在叶绿素含量大于20μg/cm。时估算的精度较高,而低于20μg/cm^2时估算的精度较低,本文中叶绿素含量大于20μg/cm^2的60个样本的FPARleaf及FPARchl的估算的平均相对误差,分别为1.79%和5.07%。
The Fraction of Absorbed Photosynthetically Active Radiation(FPAR) has been recognized as one of the important variables in carbon cycle research of terrestrial ecosystem. According to the physical meaning of FPAR, the concept of effective FPAR, which is FPAR absorbed by chlorophyll within the leaf, is introduced in this article. We developed the effective FPAR remote sensing model using simulated data, and analyzed the feasibility of estimating effective FPAR based on chlorophyll content, which was expected to introduce a way to estimate NPP/GPP using effective FPAR. The results showed : ( 1 ) the difference between FPAR absorbed by leaf(FPARleaf) and FPAR absorbed by chlorophyll( FPARchl) cannot be neglected. FPARchl is not more than 50% of FPARIo.f basically. The correlation between FPARohI and FPARleaf is nonlinear. ( 2 ) A strong correlation was found between chlorophyll content and FPARleaf, but the correlation between chlorophyll content and FPARchl is much stronger. So FPARlea and FPARchl can be accurately estimated based on chlorophyll content, and the estimation average errors are 2.90% and 6. 6% respectively. (3) the estimation accuracy of FPAleaf and FPARchl models is higher when chlorophyll content is not less than 20μg/cm^2. For 60 samples that chlorophyll content is not less than 20μg/cm^2 , the average errors of estimated FPARleaf and FPARchl are 1.79% and 5.07% respectively.