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Estimates of stem volume to certain diameter limits are critical to meet different timber utilization standards.
Estimates of stem cell numbers per crypt range from one to forty in mice [ 21].
Finally, accounting for wood density gradients is likely to improve the accuracy of estimates of stem biomass and carbon in tropical trees.
Where radial gradients are present, mean stem density increases or decreases with stem size and thus estimates of stem biomass and in turn carbon based on a mean species density become inaccurate (Nogueira et al., 2008).
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Estimates of stem-wood biomass density by Brown and Lugo [23] for undisturbed, logged, and unproductive tropical African forests were 148.6, 41.2, and 36 Mg ha−1, respectively, while our estimate was 75.75 Mg ha−1.
Estimates of stem-wood biomass density by Brown and Lugo [ 23] for undisturbed, logged, and unproductive tropical African forests were 148.6, 41.2, and 36 Mg ha−1, respectively, while our estimate was 75.75 Mg ha−1.
As expected, sampling the stand boundary produced an over-estimate of stem volume.
This method was included in the comparison to quantify any size difference between edge stems and interior stems as this would result in a biased estimate of stem volume.
This may be due to a subtle under-sampling of the stand edge, although the bias in all stands was within ± 1%. Figure 2 Bias in the estimate of stem volume for eight of the sampling methods studied.
Under a simple random sampling design, the model error variance in an estimate of a species specific AGB Mg ha−1 in a stratum or a population of interest is obtained by scaling an estimate of the average model error in a tree-level estimates of AGB with an estimate of stem density [40].
Under a simple random sampling design, the model error variance in an estimate of a species specific AGB Mg ha−1 in a stratum or a population of interest is obtained by scaling an estimate of the average model error in a tree-level estimates of AGB with an estimate of stem density [ 40].
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