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dc.contributor.authorNabhani, Abbas
dc.contributor.authorSjølie, Hanne Kathrine
dc.date.accessioned2022-11-30T10:29:43Z
dc.date.available2022-11-30T10:29:43Z
dc.date.created2022-11-01T14:53:12Z
dc.date.issued2022
dc.identifier.citationSoftwareX. 2022, 20 (101221), .en_US
dc.identifier.issn2352-7110
dc.identifier.urihttps://hdl.handle.net/11250/3034990
dc.description© 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
dc.description.abstractTreeSim is an open-source, user-extendable framework that offers new opportunities for users to model, simulate, visualize, and animate the dynamics of forest. It provides a general environment for modellers to implement and evaluate forest growth models. In this paper, we introduce the object-oriented architecture for our proposed simulator and examine its performance to model and simulate forest growth, management, and dynamics. The simulator uses various models to predict the dynamics and attributes of forest (e.g., regeneration, increment, mortality, biodiversity, biomass, carbon, dead wood). Finally, TreeSim can be integrated into a simulation–optimization framework for decision-making supporten_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectLarge scale simulationen_US
dc.subjectForest dynamicsen_US
dc.subjectForest growth modellingen_US
dc.subjectEcosystem servicesen_US
dc.subjectForest carbonen_US
dc.titleTreeSim: An object-oriented individual tree simulator and 3D visualization tool in Pythonen_US
dc.title.alternativeTreeSim: An object-oriented individual tree simulator and 3D visualization tool in Pythonen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US
dc.source.pagenumber8en_US
dc.source.volume20en_US
dc.source.journalSoftwareXen_US
dc.source.issue101221en_US
dc.identifier.doi10.1016/j.softx.2022.101221
dc.identifier.cristin2067502
dc.relation.projectNorges forskningsråd: 2544498en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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