MultiOptForest: An interactive multi-objective optimization tool for forest planning and scenario analysis.

Open research Europe Pub Date : 2024-12-16 eCollection Date: 2023-01-01 DOI:10.12688/openreseurope.15812.2

Kyle Eyvindson, Daniel Burgas, Clara Antón-Fernández, Jussi Hakanen, Michael Emmerich, Julian Klein, Mikko Mönkkönen, Tord Snäll, Astor Toraño Caicoya, Marta Vergarechea, Clemens Blattert

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Abstract

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, i.e., 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.

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MultiOptForest：用于森林规划和情景分析的交互式多目标优化工具。

MultiOptForest是一个开源软件，旨在简化构建和解决森林规划的多目标优化问题。它的目的是找到管理制度的最佳组合，以平衡有关多种森林生态系统服务和生物多样性的目标。该软件灵活地导入数据，允许使用各种森林模拟器输出。用户通过用户友好的图形界面提供首选项信息，其中提供了每个目标的可能值范围。MultiOptForest解决了产生一组帕累托最优解的优化问题，即在不损害其他目标的情况下无法改进任何目标的解决方案。MultiOptForest具有足够多的功能，可以为小型林地设计帕累托最优森林计划，以评估管理以及影响各地区和国家森林未来发展的多种政策目标之间的权衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Open research Europe

CiteScore

1.50

自引率

0.00%

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