Assessment of Forest Biomass and Carbon Stocks at Stand Level Using Site-Specific Primary Data to Support Forest Management
Contributo in Atti di convegno
Data di Pubblicazione:
2020
Citazione:
Assessment of Forest Biomass and Carbon Stocks at Stand Level Using Site-Specific Primary Data to Support Forest Management / L. Nonini, C. Schillaci, M. Fiala (LECTURE NOTES IN CIVIL ENGINEERING). - In: Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production / [a cura di] A. Coppola, G.C. Di Renzo, G. Altieri, P. D'Antonio. - [s.l] : Springer Science+Business Media, 2020. - ISBN 9783030392987. - pp. 501-508 (( convegno International Mid-Term Conference 2019 of the Italian Association of Agricultural Engineering (AIIA) tenutosi a Matera nel 2019 [10.1007/978-3-030-39299-4_56].
Abstract:
To quantify and map woody biomass (WB) and forest carbon (C) stocks, several models were developed. They differ in terms of scale of application, details related to the input data required and outputs provided. Local Authorities, such as Mountain Communities, can be supported in sustainable forest planning and management by providing specific models in which the reference unit is the same as the one reported in the Forest Management Plans (FMP), i.e. the forest stand. In the Lombardy Region (Northern Italy), a few studies were performed to assess WB and forest C stocks, and they were generally based on data coming from regional—or national—forest inventories and remote sensing, without taking into account data collected in the FMPs. For this study, the first version of the stand-level model “WOody biomass and Carbon ASsessment” (WOCAS) for WB and C stocks calculation was improved into a second version (WOCAS v2) and preliminary results about its first application to 2019 forest stands of Valle Camonica District (Lombardy Region) are presented. Since the model WOCAS uses the growing stock as the main driver for the calculation, it can be applied in any other forest area where the same input data are available.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Forest modelling; Woody biomass; Carbon stock; Forest management plan; Site-specific primary data; Climate change mitigation
Elenco autori:
L. Nonini, C. Schillaci, M. Fiala
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Titolo del libro:
Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production