Forest management system based on carbon sequestration
DOI:
https://doi.org/10.54097/hset.v40i.6778Keywords:
Forest carbon sequestration, CASA model, Principal component analysis, gray prediction.Abstract
It is a new challenge for forest managers to balance the relationship between the forest and its derivatives to maximize the overall benefits of the forest. Based on the growth pattern of trees and statistical theory, we developed a carbon sequestration model with a normal distribution at different ages of the forest and derived the amount of carbon sequestered by the forest and its products in a certain period of time. In order to balance the ecological and social values of the forest, we firstly selected 12 indicators from three aspects: climate benefit, ecological benefit and social benefit to build a forest decision model. Secondly, the original indicators were downscaled to three principal components by cluster analysis and principal component analysis and the benefit scores were obtained for each year. Finally, a linear fitting method was used to derive the relationship between the forest area and the composite score.
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