Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2146
DC FieldValueLanguage
dc.contributor.authorCorona, Piermaria-
dc.contributor.authorScotti, Roberto-
dc.date.accessioned2011-06-28T08:23:46Z-
dc.date.available2011-06-28T08:23:46Z-
dc.date.issued2011-
dc.identifier.citationCorona, P., Scotti, R. 2011. Systemic silviculture, adaptive management and forest monitoring perspectives. "L'Italia Forestale e Montana" 66 (3): 219-224it
dc.identifier.issn0021-2776-
dc.identifier.urihttp://hdl.handle.net/2067/2146-
dc.description.abstractSystemic silviculture can be framed as an approach in which management practices are conceived as learning experiments. In the light of this, effective and efficient monitoring processes are required in order to inform and support the management taking explicitly into account the many system components, their interactions and its nonlinear behavior, a characteristic that determines important limitations with regard to the value of predictions. In order to evaluate evidence and turn data into decisions, monitoring effectiveness and efficiency encompass adequate statistical methods and tools for acquisition, processing and analysis of information from different sources. The present note highlights some key contributions on which to engage the development of forest monitoring under such a perspective.it
dc.language.isoenit
dc.publisherAccademia Italiana di Scienze Forestaliit
dc.subjectSustainable forest managementit
dc.subjectComplex systemsit
dc.subjectDecision makingit
dc.subjectHeuristic approachit
dc.subjectUncertaintyit
dc.subjectCausalityit
dc.titleSystemic silviculture, adaptive management and forest monitoring perspectivesit
dc.typeArticleit
dc.identifier.doi10.4129/ifm.2011.3.05-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.cerifentitytypePublications-
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