Monitoring and prediction of forest carbon sequestration: an example from Daxing'an Mountains, China
Conference: ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation
05/27/2022 - 05/29/2022 at Xishuangbanna, China
Proceedings: ISCTT 2022
Pages: 5Language: englishTyp: PDF
Authors:
Zhang, Runqiao (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China)
Zhang, Shuqi (College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, China)
Zhang, Xingyu (College of Economics and Management China University of Petroleum (East China), Qingdao, China)
Abstract:
As the greenhouse effect intensifies, the role of forest carbon sequestration becomes ever more important. The scientific and accurate monitoring of forest carbon sequestration and the trend of carbon sequestration in the future period under certain management modes is worth studying. In this paper, we construct a carbon sequestration model VFP based on MODIS data and the GLO-PEM model to monitor the annual forest carbon sequestration in real-time. The parameters of the forest management plan are introduced to predict the future trend of forest carbon sequestration under a certified management mode. The simulation was carried out with the data of 2021 in the Daxing'an Mountains as an example. The results demonstrate that: The amount of carbon sequestration in that year is 2310.97 tons. The comprehensive benefit of the forest reaches the maximum when the initial harvesting age is 41 years, the harvesting intensity is 0.9 and the harvesting interval is 12 years. The amount of carbon sequestration in the area in the next 100 years is cyclical, and the cumulative amount of carbon sequestration in 100 years is 285644.47 tons.