Forest Management Research Based on Tree Growth Model
DOI:
https://doi.org/10.54097/hset.v11i.1194Keywords:
Logistic growth model, TOPSIS algorithm, principal component analysis.Abstract
At present, the greenhouse effect is becoming more and more serious, and just considering the reduction of greenhouse gas emissions cannot solve most of the problems, so it is important to solve the balance between deforestation and forest carbon sink for the development of the whole earth and human beings. In this paper, we establish a logical growth model of trees and assume that the weight gain of trees is equal to the carbon sink of trees. On the basis of this model, the annual carbon sequestration at different ages is obtained. Then, the multiple linear relationship between forest age ratio initially and growth to maximum carbon sequestration time was found to achieve the same maximum carbon sequestration time and with age ratio originally. In addition to this, the correlation data between forest carbon sink and was found and the maximum value was obtained by TOPSIS algorithm, which is the best way to manage the forest.
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