カラマツ葉の生化学質含有量推定に関する研究

LIBERTモデルに基づく検討

抄録

In this article, our object is to predict biochemical contents (chlorophyll, water, nitrogen, lignin and cellulose) of larch needles from their spectral characteristics, because larch tree is a kind of important trees as sink for CO2. We firstly tested whether conifer leaf Model LIBERTY, which was constructed on jack pine and slash pine needles by Dawson et al., (1998), can predict quasi-infinite reflectance for larch needles from biochemical contents or not. And we established the way to predict respectively biochemical contents from global absorption coefficient, because LIBERTY Inversion model, which was constructed by Dawson et al., can predict just global absorption coefficient for cells from quasi-infinite reflectance. In conclusion, we could predict respectively biochemical contents from quasi-infinite reflectance for larch needles, and we suggested that there is the probability to predict them more accuracy, if 1) we modify LIBERTY model more suitable for larch needles, 2) incorporate carotenoid absorption coefficient into the model 3) get more data sets for larch needles and so on.