Forest carbon sequestration modelling and management decision based on multiple factors

Jingyang Huang; Renbo Zhang; Huayang Li

doi:10.1117/12.2639196

17 May 2022 Forest carbon sequestration modelling and management decision based on multiple factors

Jingyang Huang, Renbo Zhang, Huayang Li

Author Affiliations +

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 1225953 (2022) https://doi.org/10.1117/12.2639196
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 2022, Kunming, China

Abstract

As the greenhouse effect getting more and more serious, it is more urgent than ever to strengthen the worlds carbon sequestration. In this article, we select several indicators that may affect forest carbon sequestration and establish the carbon sequestration model progressively. It can be concluded that regularly harvesting old trees can maximize carbon sequestration. We propose four levels of forest management plans and construct the forest management decision model in view of several forests. We find that non-harvesting is best for seriously damaged forests and planted agricultural forest. We think transition points between forests can be determined, and characteristics of forest can help determine best management plan for one forest. Sensitivity analysis is conducted to validate the robustness of our model.

Citation Download Citation

Jingyang Huang, Renbo Zhang, and Huayang Li "Forest carbon sequestration modelling and management decision based on multiple factors", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 1225953 (17 May 2022); https://doi.org/10.1117/12.2639196

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