Forest Carbon Sequestration Modelling for Balanced Management

Ruolin Li ； Yiyang Wu

《World Scientific Research Journal》 8卷8期 (2022/08) Pp. 460-467

https://doi.org/10.6911/WSRJ.202208_8(8).0062

摘要

Reducing carbon emissions is an important mean to deal with global warming and climate change. At present, many countries use forest carbon sequestration to reduce carbon emissions. In view of the current need of relevant employees for carbon sequestration prediction, this paper uses AHP and grey prediction methods to establish the prediction model of forest carbon storage through quantitative measurement and prediction. Last but not least, the models above are applied to different forests in the world for a further study of forest management. Combined with newspaper articles and literature review, this paper also suggests two steps for forest management: one is to set principles of time and space for forest harvesting, the other is to establish people-oriented forest reserves.

關鍵字

Carbon Sequestration ； Forest ； Carbon Sink ； Multiple Linear Regression

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