Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2146
Title: Systemic silviculture, adaptive management and forest monitoring perspectives
Authors: Corona, Piermaria
Scotti, Roberto
Keywords: Sustainable forest management;Complex systems;Decision making;Heuristic approach;Uncertainty;Causality
Issue Date: 2011
Publisher: Accademia Italiana di Scienze Forestali
Source: Corona, P., Scotti, R. 2011. Systemic silviculture, adaptive management and forest monitoring perspectives. "L'Italia Forestale e Montana" 66 (3): 219-224
Abstract: 
Systemic 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.
URI: http://hdl.handle.net/2067/2146
ISSN: 0021-2776
DOI: 10.4129/ifm.2011.3.05
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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