• Medientyp: E-Artikel
  • Titel: MultiOptForest: An interactive multi-objective optimization tool for forest planning and scenario analysis
  • Beteiligte: Eyvindson, Kyle; Burgas, Daniel; Antón-Fernández, Clara; Hakanen, Jussi; Emmerich, Michael; Klein, Julian; Mönkkönen, Mikko; Snäll, Tord; Toraño Caicoya, Astor; Vergarechea, Marta; Blattert, Clemens
  • Erschienen: F1000 Research Ltd, 2023
  • Erschienen in: Open Research Europe
  • Sprache: Englisch
  • DOI: 10.12688/openreseurope.15812.1
  • ISSN: 2732-5121
  • Schlagwörter: Multidisciplinary
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <ns3:p>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, <ns3:italic>i.e.,</ns3:italic> 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 development of forests across regions and countries.</ns3:p>
  • Zugangsstatus: Freier Zugang