Parties included in Annex I of the Kyoto Protocol, like Italy, may choose to elect Forest Management as additional human-induced activity to attain the goals of reduction of greenhouse gas emissions. In Italy the majority of areas subjected to forest plans satisfy the definition of Forest Management proposed by the Marakesh Accords. However, the data commonly available from forest compartments cannot be directly used to estimate the total aboveground biomass by allometric equations because the data are not spatially (data differ among compartments) or temporally (data sampled in different years) uniform. This study proposes a methodology for using such non-uniform data, which has been tested on a dataset of forest compartments provided by the Veneto Region (NE Italy). A series of specific diameter distributions was associated to each forest compartment by applying cluster analysis and discriminant analysis. The Bootstrap procedure was applied to update the available data, referring them to the same year. The results satisfied the requirements of the "Good Practice Guidance for Land Use, Land Use Change and Forestry " of The Intergovernmental Panel on Climate Change since the uncertainties were quantified. After the analysis, forest compartment data were suitable for application of allometric equations, without need for further extensive samplings

L'impiego dei dati assestamentali per la stima dello stock di carbonio ai fini delle richieste poste dal protocollo di Kyoto

ANFODILLO, TOMMASO
2006

Abstract

Parties included in Annex I of the Kyoto Protocol, like Italy, may choose to elect Forest Management as additional human-induced activity to attain the goals of reduction of greenhouse gas emissions. In Italy the majority of areas subjected to forest plans satisfy the definition of Forest Management proposed by the Marakesh Accords. However, the data commonly available from forest compartments cannot be directly used to estimate the total aboveground biomass by allometric equations because the data are not spatially (data differ among compartments) or temporally (data sampled in different years) uniform. This study proposes a methodology for using such non-uniform data, which has been tested on a dataset of forest compartments provided by the Veneto Region (NE Italy). A series of specific diameter distributions was associated to each forest compartment by applying cluster analysis and discriminant analysis. The Bootstrap procedure was applied to update the available data, referring them to the same year. The results satisfied the requirements of the "Good Practice Guidance for Land Use, Land Use Change and Forestry " of The Intergovernmental Panel on Climate Change since the uncertainties were quantified. After the analysis, forest compartment data were suitable for application of allometric equations, without need for further extensive samplings
2006
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/1563686
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