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- W2528559623 abstract "ABSTRACTIndicators are increasingly required to support a fine-tuning between sustainable forestry and multiple environmental targets. A data mining strategy was implemented in this study to assess the overall impact of traditional and innovative silviculture on stand structure in a sample of beech forests with varying dominant age, management history and stand structure in Italy. Harvesting intensity and stand sensitivity to treatment were investigated using a principal component analysis (PCA) run on a set of dendrometric and stand-structure variables measured before and after practice implementation at the scale of forest compartment. The PCA decomposed the overall impact of silviculture on forest structure in two manipulative effects: (i) structural changes between control and treatments, and (ii) the net manipulative effect of innovative versus traditional treatment. Our approach informs the sustainable management of forests, outlining between-site differences in stand structure and identifying a div..." @default.
- W2528559623 created "2016-10-14" @default.
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- W2528559623 date "2016-10-03" @default.
- W2528559623 modified "2023-09-23" @default.
- W2528559623 title "Toward sustainable forest management indicators? A data mining approach to evaluate the impact of silvicultural practices on stand structure" @default.
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- W2528559623 doi "https://doi.org/10.1080/13504509.2016.1239138" @default.
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