Abstract
In order to manage a coppice forest floor, we need to know the ecological status of the floor. Pleioblasyus chino is overwhelmingly a dominant species in coppice forests in the Kanto region. We used the Plant Canopy Analyzer (PCA), which can analyze the structure of a plant community in a wide area without destroying the plants, to measure the leaf area index(LAI). We tried to see the correlation between LAI and the existing biomass. The PCA method had resulted in higher correlation (p<0.05) than the method using the relative illumination in the non-forested area. We found that we can obtain higher correlation by taking away the LAI of tree canopy from the LAI of Pleioblasyus chino. This method could be used for winter and it suggests that this method might be also used in summer by increasing the number of locations for sampling.
