Research on Forest Management System Based on Cellular Automata
DOI: 10.23977/erej.2022.060206 | Downloads: 17 | Views: 675
Author(s)
Yangyu Fu 1, Kaixin Wang 1, Yiheng Tang 1
Affiliation(s)
1 School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 211100, China
Corresponding Author
Yangyu FuABSTRACT
We can't avoid the problem of greenhouse effect anymore, since the release of greenhouse gas still increases drastically year by year. It has posed a severe threat to our human beings which pushes us to cut down the release of greenhouse gas, especially the carbon dioxide. However, this is not enough and we try to look for more methods to sequestrate the carbon. There is already some evidence that we can cut down an appropriate amount of trees to reach our goal. Our model is based on cellular automata, we regard the tree as cells, and establish a rule that fully considers the tree lifespan, logging period, logging probability, planting probability on cell status, and updates the cell state with factors above. After consulting the information, we find out how to calculate carbon sequestration in this model. According to it, we observe the annual carbon fixation amount of a forest system under different logging probabilities. So that we obtain that when the cutting probability is great and extremely small, the forest ecosystem is unstable on the fluctuations of carbon sequestration over time. Only when cutting probability is moderate and suitable for the real situation of this forest, the carbon sequestration tends to be stable at last. Thus, we determine the effective forest management to store CO2.
KEYWORDS
Cellular Automata, Carbon Sequestration, Ecosystem StabilityCITE THIS PAPER
Yangyu Fu, Kaixin Wang, Yiheng Tang, Research on Forest Management System Based on Cellular Automata. Environment, Resource and Ecology Journal Vol. 6: 43-46. DOI: http://dx.doi.org/10.23977/erej.2022.060206.
REFERENCES
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