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Additionally, residuals from the random forests models using the CRM and Jenkins biomass estimates were compared to both biomass and maximum forest height in an attempt to understand the drivers of allometric variability as well as the associated implications for biomass mapping (Fig. 6).
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It is likely that a time window of low animal predation allowed seedlings to establish, and the shallow soil at this site limited the maximum forest canopy height, permitting the characteristically short-statured C. mollissima to avoid suppression.
We used maximum likelihood analysis to fit a power-law model between field-estimated carbon stocks and LiDAR-measured forest height.
However if we look at forest height alone, we see that secondary forests can quickly reach similar heights as intact forests, which complicates optical remote sensing of degradation.
Overestimation in forest height was also noticed at several patches of the forest.
The maximum forest area is SW5 = 53.05, whereas minimum forest area is SW6 = 19.40.
They provide measurements of forest height, and its changes, which is crucial for forest biomass changes.
Because of these limitations, the estimation of forest carbon stocks is often greatly improved with data about forest structure and specifically forest height.
It successfully reproduced a general pattern of maximum tree height across altitude even for such lofty forests >50 m high (Fig. 1).
On the other hand, strong winds in the summit region of Yakushima, which are related to increased topographic exposure, explain the lower maximum height of emergent conifers as well as the lower maximum stand height in the Y16G plot located almost at the forest limit (Irikura, 1984; Ohsawa, 1984).
On Yakushima, maximum canopy height showed a monomodal pattern across altitude, two mixed forests at 1050 1200 m a.s.l.l
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