叶面积指数(leaf area index,LAI)是表征作物生长状况的重要冠层结构参数,直接破坏采样法采样和间接光学测量是2种主要的LAI测量方法,其中LAI-2200冠层分析仪是最常用的测量LAI的光学仪器之一,计算方法和传感器观测天顶角范围都会对其...叶面积指数(leaf area index,LAI)是表征作物生长状况的重要冠层结构参数,直接破坏采样法采样和间接光学测量是2种主要的LAI测量方法,其中LAI-2200冠层分析仪是最常用的测量LAI的光学仪器之一,计算方法和传感器观测天顶角范围都会对其观测结果产生显著影响。利用LAI-2200冠层分析仪对水稻LAI进行长期连续观测,以直接破坏采样方法观测的LAI(LAI_(d))作为参考,比较分析不同观测天顶角范围、不同计算方法(2000方法和Lang方法)得到的LAI观测值差异。结果表明,LAI观测值随着所用LAI-2200数据观测天顶角范围的减小而增大,在LAI>3时更明显,且相对于2000计算方法,Lang计算方法对所用数据观测天顶角范围变化更加敏感。2000方法和Lang方法得到的LAI高度相关,r^(2)均高于0.9,随着观测天顶角范围的减小,2种方法的结果差异增大。仅对0~43.4°天顶角范围的数据,2000方法计算的结果明显小于Lang方法,差异最大可达1.54。LAI-2200观测的LAI与LAI_(d)高度相关,r^(2)为0.914~0.942,但存在不同程度的低估,且随着LAI_(d)的上升,低估程度增大。随着所用数据观测天顶角范围的减小,2种方法计算的LAI与LAI_(d)比较的均方根误差(RMSE)增大。如采用Lang计算方法,观测天顶角范围为0~74.1°时的RMSE为0.5771,观测天顶角范围为0~43.41°时的RMSE为0.6980;如采用2000计算方法,观测天顶角范围为0~74.1°时的RMSE为0.6078,观测天顶角范围为0~43.41°时的RMSE为0.6980。Lang方法能相对精确地观测水稻LAI(r^(2)=0.9415,RMSE=0.5771)。本研究为水稻田LAI测量提供了方法和数据参考。展开更多
Decreasing the forest ecosystem leaf-area index error(LAIe)helps accurately estimate the growth and light energy utilization of aboveground foliage.Analyzing light transmission in forest ecosystems can effectively det...Decreasing the forest ecosystem leaf-area index error(LAIe)helps accurately estimate the growth and light energy utilization of aboveground foliage.Analyzing light transmission in forest ecosystems can effectively determine LAIe.The LAI-2200 plant canopy analyzer(PCA)is used extensively for rapid field-effective LAI(LAIe)measurements and primarily to measure forest canopy LAIe values.However,sometimes this parameter must also be measured in forests with small clearings.In this study,we used the LAI-2200 PCA to obtain one A-value and four B-values each for the canopy,herbaceous layer,and forest ecosystem LAIe.Field measurements showed that the three LAIe types were obviously different.In certain quadrats,the average herbaceous layer(Dicranopteris dichotoma Bernh.)LAIe apparently exceeded that of the Pinus massoniana forest ecosystem.The sources of this error were measuring and recording A-value readings for small canopies and underestimating the ecosystem LAIe.We obtained similar coefficients of determination for both the pre-recomputation and post-recomputation of the canopy and forest ecosystem LAIe(R^2C 0.96 and R^2C 0.99,respectively);thus,the error was decreased.Measuring field LAIe with the LAI-2200 PCA and recomputation should compensate for LAIe underestimation in complex forest ecosystems.展开更多
文摘叶面积指数(leaf area index,LAI)是表征作物生长状况的重要冠层结构参数,直接破坏采样法采样和间接光学测量是2种主要的LAI测量方法,其中LAI-2200冠层分析仪是最常用的测量LAI的光学仪器之一,计算方法和传感器观测天顶角范围都会对其观测结果产生显著影响。利用LAI-2200冠层分析仪对水稻LAI进行长期连续观测,以直接破坏采样方法观测的LAI(LAI_(d))作为参考,比较分析不同观测天顶角范围、不同计算方法(2000方法和Lang方法)得到的LAI观测值差异。结果表明,LAI观测值随着所用LAI-2200数据观测天顶角范围的减小而增大,在LAI>3时更明显,且相对于2000计算方法,Lang计算方法对所用数据观测天顶角范围变化更加敏感。2000方法和Lang方法得到的LAI高度相关,r^(2)均高于0.9,随着观测天顶角范围的减小,2种方法的结果差异增大。仅对0~43.4°天顶角范围的数据,2000方法计算的结果明显小于Lang方法,差异最大可达1.54。LAI-2200观测的LAI与LAI_(d)高度相关,r^(2)为0.914~0.942,但存在不同程度的低估,且随着LAI_(d)的上升,低估程度增大。随着所用数据观测天顶角范围的减小,2种方法计算的LAI与LAI_(d)比较的均方根误差(RMSE)增大。如采用Lang计算方法,观测天顶角范围为0~74.1°时的RMSE为0.5771,观测天顶角范围为0~43.41°时的RMSE为0.6980;如采用2000计算方法,观测天顶角范围为0~74.1°时的RMSE为0.6078,观测天顶角范围为0~43.41°时的RMSE为0.6980。Lang方法能相对精确地观测水稻LAI(r^(2)=0.9415,RMSE=0.5771)。本研究为水稻田LAI测量提供了方法和数据参考。
基金supported by the National Natural Science Foundation of China(Grant Nos.41401385 and 31770760)the Foundation of College of Forestry,Fujian Agricultural and Forest University(Grant No.61201400833)
文摘Decreasing the forest ecosystem leaf-area index error(LAIe)helps accurately estimate the growth and light energy utilization of aboveground foliage.Analyzing light transmission in forest ecosystems can effectively determine LAIe.The LAI-2200 plant canopy analyzer(PCA)is used extensively for rapid field-effective LAI(LAIe)measurements and primarily to measure forest canopy LAIe values.However,sometimes this parameter must also be measured in forests with small clearings.In this study,we used the LAI-2200 PCA to obtain one A-value and four B-values each for the canopy,herbaceous layer,and forest ecosystem LAIe.Field measurements showed that the three LAIe types were obviously different.In certain quadrats,the average herbaceous layer(Dicranopteris dichotoma Bernh.)LAIe apparently exceeded that of the Pinus massoniana forest ecosystem.The sources of this error were measuring and recording A-value readings for small canopies and underestimating the ecosystem LAIe.We obtained similar coefficients of determination for both the pre-recomputation and post-recomputation of the canopy and forest ecosystem LAIe(R^2C 0.96 and R^2C 0.99,respectively);thus,the error was decreased.Measuring field LAIe with the LAI-2200 PCA and recomputation should compensate for LAIe underestimation in complex forest ecosystems.
