In Japan, the number of plantation forests that must be harvested is increasing. Therefore, it is desirable to establish an operational system with a high efficiency. When using efficient forestry machinery, it is necessary to secure a sufficient amount of operation commensurate with the cost of machines, while simultaneously considering the feasibility of the labor force. However, no previous research has presented a quantitative forestry operation management method from the viewpoint of optimizing the amount of operation on a regional forestry scale. First, a basic model that mathematically quantifies the amount of operation and changes in forest biomass by applying system dynamics (SD) was developed, and a regional forestry scenario with the labor force as a constraint was optimized. As a result of the optimization, it is suggested that the scenario will be sustainable if regional forests are managed in an area of approximately 800 ha for 10 workers. The amount of operation in the scenario was generally feasible with a limited labor force during the simulation period and was also validated against reported domestic forestry data. We conclude that the SD model can contribute to the development of a regional forest management plan tailored to local conditions. In addition, it will greatly contribute to the assessment of carbon reduction in the national forestry sector through sustainable management of local forest biomass resources.

在日本，必须砍伐的人工林数量正在增加。因此，希望建立一个高效的操作系统。在使用高效林业机械时，需要确保与机器成本相称的足够作业量，同时考虑劳动力的可行性。然而，以往的研究还没有从优化区域林业规模经营量的角度提出量化的林业经营管理方法。首先，开发了应用系统动力学（SD）对森林生物量的作业量和变化进行数学量化的基础模型，并优化了以劳动力为约束的区域林业情景。作为优化的结果，有人建议，如果区域森林由 10 名工人管理大约 800 公顷的区域，则该情景将是可持续的。在模拟期间，该情景中的操作量在劳动力有限的情况下通常是可行的，并且还根据报告的国内林业数据进行了验证。我们的结论是，SD 模型有助于制定适合当地条件的区域森林管理计划。此外，它将通过对当地森林生物质资源的可持续管理，极大地促进国家林业部门碳减排的评估。在模拟期间，该情景中的操作量在劳动力有限的情况下通常是可行的，并且还根据报告的国内林业数据进行了验证。我们的结论是，SD 模型有助于制定适合当地条件的区域森林管理计划。此外，它将通过对当地森林生物质资源的可持续管理，极大地促进国家林业部门碳减排的评估。在模拟期间，该情景中的操作量在劳动力有限的情况下通常是可行的，并且还根据报告的国内林业数据进行了验证。我们的结论是，SD 模型有助于制定适合当地条件的区域森林管理计划。此外，它将通过对当地森林生物质资源的可持续管理，极大地促进国家林业部门碳减排的评估。