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Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities

dc.contributor.authorBravo, Felipe
dc.contributor.authorFabrika, Marek
dc.contributor.authorAmmer, Christian
dc.contributor.authorBarreiro, Susana
dc.contributor.authorBielak, Kamil
dc.contributor.authorColl, Lluis
dc.contributor.authorFonseca, Teresa
dc.contributor.authorKangur, Ahto
dc.contributor.authorLöf, Magnus
dc.contributor.authorMerganičová, Katarina
dc.contributor.authorPach, Maciej
dc.contributor.authorPretzsch, Hans
dc.contributor.authorStojanović, Dejan
dc.contributor.authorSchuler, Laura
dc.contributor.authorPeric, Sanja
dc.contributor.authorRötzer, Thomas
dc.contributor.authorDel Río, Miren
dc.contributor.authorDodan, Martina
dc.contributor.authorBravo-Oviedo, Andrés
dc.date.accessioned2019-06-27T08:17:12Z
dc.date.available2019-06-27T08:17:12Z
dc.date.issued2019de
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/16201
dc.description.abstractAim of study: Modelling of forest growth and dynamics has focused mainly on pure stands. Mixed-forest management lacks systematic procedures to forecast the impact of silvicultural actions. The main objective of the present work is to review current knowledge and forest model developments that can be applied to mixed forests. Material and methods: Primary research literature was reviewed to determine the state of the art for modelling tree species mixtures, focusing mainly on temperate forests. Main results: The essential principles for predicting stand growth in mixed forests were identified. Forest model applicability in mixtures was analysed. Input data, main model components, output and viewers were presented. Finally, model evaluation procedures and some of the main model platforms were described. Research highlights: Responses to environmental changes and management activities in mixed forests can differ from pure stands. For greater insight into mixed-forest dynamics and ecology, forest scientists and practitioners need new theoretical frameworks, different approaches and innovative solutions for sustainable forest management in the context of environmental and social changes.de
dc.language.isoengde
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectdynamics, ecology, growth, yield, empirical, classificationde
dc.subject.ddc570
dc.titleModelling approaches for mixed forests dynamics prognosis. Research gaps and opportunitiesde
dc.typejournalArticlede
dc.identifier.doi10.5424/fs/2019281-14342
dc.type.versionpublishedVersionde
dc.relation.eISSN2171-9845
dc.bibliographicCitation.volume28de
dc.bibliographicCitation.issue1de
dc.type.subtypejournalArticle
dc.bibliographicCitation.articlenumbereR002de
dc.description.statuspeerReviewedde
dc.bibliographicCitation.journalForest Systemsde


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