Multi-objective Forest Carbon Sequestration Management Model

Climate change is an insidious and consistent form of violence. Carbon dioxide emissions are already contributing to rising sea levels and increasingly severe weather events that put people at risk and threaten the survival of vulnerable species. Mitigation of carbon emissions alone is inadequate; Conversely, carbon must also be sequestered, and forests play a key role in achieving this. Accordingly, we have developed a Forest Carbon Sequestration Management Model that utilizes four sets of forest management plans (HH, HL, LH, and LL), accommodating various forest types and the environment's complexity. With our model, we calculate the optimal carbon sequestration for representative trees across five climate zones, with optimal rotation periods. In addition, we have developed the State Management - Forest Ecology - Transition Point Judgment Methodology (SFTM), which involves country selection based on environmental evaluation systems developed by the United Nations. We apply the model to 24 representative countries. Like an electron cloud model, the SFTM predicts the extent to which the transition points depend on particular indicators and locations of the forest, proving its consistency with reality and accuracy. Putting this into practice, our model has been applied to forests in Vietnam and Germany's Schwarzwald, determining that the Schwarzwald forest is an “HL” forest, whereas Vietnam's forest is an “LL” forest. This classification suggests that Schwarzwald can be harvested in a sustainable manner, while Vietnam's forests should not. Overall, the scalability, adaptability, and stability of our model have been evaluated and it has demonstrated strong performance on larger forests within the same region. Our model has the potential for applications on larger, global scales.