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.

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.

Assessment of Forest Biomass and Carbon Stocks at Stand Level Using Site-Specific Primary Data to Support Forest Management

Nonini, Luca;Schillaci, Calogero;Fiala, Marco
2020

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.
Forest modelling; Woody biomass; Carbon stock; Forest management plan; Site-specific primary data; Climate change mitigation
Settore AGR/09 - Meccanica Agraria
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
482838_1_En_56_Chapter_Author.pdf

accesso aperto

Descrizione: Author Uncorrected Proof
Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 287.2 kB
Formato Adobe PDF
287.2 kB Adobe PDF Visualizza/Apri
2020_Nonini_et_al_AAM.pdf

embargo fino al 19/03/2021

Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione 6.48 MB
Formato Adobe PDF
6.48 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/725498
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact