Eyvindson Kyle, Burgas Daniel, Antón-Fernández Clara, Hakanen Jussi, Emmerich Michael, Klein Julian, Mönkkönen Mikko, Snäll Tord, Toraño Caicoya Astor, Vergarechea Marta, Blattert Clemens
Faculty of Environmental Sciences and Natural Resource Management, Norges miljø- og biovitenskapelige universitet, Ås, NO-1432, Norway.
Natural Resource Institute Finland (LUKE), Laatokartanonkaari 9, Helsinki, 00790, Finland.
Open Res Eur. 2024 Dec 16;3:103. doi: 10.12688/openreseurope.15812.2. eCollection 2023.
MultiOptForest is an open-source software designed to simplify building and solving multi-objective optimization problems for forest planning. It aims to find the optimal portfolio of management regimes that balance the objectives regarding multiple forest ecosystem services and biodiversity. The software flexibly imports data, allowing for the use of a variety of forest simulator outputs. The user provides preference information through a user-friendly graphical interface, where the range of possible values for each objective is provided. MultiOptForest solves the optimization problem producing a set of Pareto optimal solutions, solutions where none of the objectives can be improved without compromising others. MultiOptForest is versatile enough to design a Pareto optimal forest plan for a small holding to assess management and the trade-off between multiple policy objectives impacting the future development of forests across regions and countries.
MultiOptForest是一款开源软件,旨在简化森林规划中多目标优化问题的构建与求解。它旨在找到管理方案的最优组合,以平衡与多种森林生态系统服务和生物多样性相关的目标。该软件可灵活导入数据,允许使用各种森林模拟器的输出结果。用户通过用户友好的图形界面提供偏好信息,其中会给出每个目标的可能值范围。MultiOptForest通过生成一组帕累托最优解来解决优化问题,即不存在在不损害其他目标的情况下可以改进任何一个目标的解。MultiOptForest通用性强,足以设计一个针对小林场的帕累托最优森林计划,以评估管理以及影响跨地区和国家森林未来发展的多个政策目标之间的权衡。