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28 March 2023 CSmodel: analysis, forecasting and evaluation of forest management plans
Yaning Wang, Qicong He, Tianjun Liu, Yaning Wang
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Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 1259704 (2023) https://doi.org/10.1117/12.2672164
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
As the global climate continues to deteriorate and extreme weather conditions gradually, we first established FMCS, a new framework to characterize, analyze, predict and evaluate the state of forests and their forest products. We searched forestry data worldwide through EPS database and forestry professional knowledge service system to find relevant index data. Combined with grey correlation analysis, we selected 20 variables with strong carbon sequestration from the selected 202 variables. Then the grey prediction model is used to characterize the evolution trend of time series of different indexes from 1990 to 2020. Then the prediction of carbon sequestration in the last ten periods is made, which makes the future trend of carbon storage have a certain cognition. Finally, we submitted a memorandum of our work to forest managers.
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Yaning Wang, Qicong He, Tianjun Liu, and Yaning Wang "CSmodel: analysis, forecasting and evaluation of forest management plans", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 1259704 (28 March 2023); https://doi.org/10.1117/12.2672164
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KEYWORDS
Carbon sequestration
Carbon
Sustainability
Forestry
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