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Additionally, it is suitable as a component of an individual-based mangrove stand model.
In this paper, compared with the stand model of attack angle, the simulation results show that the guidance provided in this paper is real-time and effective.
All possible combinations of inventories were used and the observed H, N and B values from the first inventory were used to estimate total stand volume at the age of the last inventory, including all the components of the whole stand model.
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In contrast to the existing mangrove stand models, BETTINA focusses explicitly on the processes leading to variation in resource availability.
B ^ 2 S = predicted stand basal area at age A 2 from a whole-stand model.
For stand basal area, all of the best evaluation statistics came from the whole-stand model (Table 3).
The disaggregation method, in assuming that predictions from a whole-stand model are reliable, partitions these outputs to individual trees.
Compared to the whole-stand model, the combination method did not show improvements in predicting stand attributes in this study.
In other words, output from the whole-stand model is disaggregated to tree level by use of some disaggregating function.
The disaggregation method involves adjusting outputs from the individual-tree model to match predictions from the whole-stand model.
Qin and Cao ([2006]) evaluated four methods to link an individual-tree model and a whole-stand model by use of disaggregation.
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