TaCAL: a "tariffs" system of tree volume and phytomasses of forest tree species in Calabria (southern Italy)

Scrinzi, S; Clementel, C; Floris, F. J. T.; Gasparini, Graziano

doi:10.3832/efor2278-013

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Azzardiamo una stima grossolana. Assumiamo per questi grandi alberi d 1.3 = 1 m e, sulla base della curva ipso-diametrica presentata da Scrinzi et al (2017), h = 25 m; applicando l'equazione di cubatura del faggio (fusto e grossi rami) riportata da Tabacchi et al (2011), con i dati di utilizzazione di cui sopra si arriva a stimare un prelievo di 9.3 m 3 ha -1 anno -1 , ampiamente superiore ai valori di incremento corrente riportati, per le faggete, dall'ultimo inventario forestale nazionale (INFC 2009); senza contare che sicuramente oltre a queste piante ne furono asportate di minori dimensioni, che spesso il bosco era gravato da usi civici, ecc. (Famiglietti 1975).…”

Section: Forest@ -Rivista DI Selvicoltura Ed Ecologia Forestale Foresunclassified

Basilicata, land of forests and forest studies

Borghetti¹,

Moretti²

2020

Forest@

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Basilicata, land of forests and forest studies Basilicata, a land of forests and home to a Forest Sciences university program. We talk about the launch, in the eighties, of the higher education program in Forest Sciences at the University of Basilicata, in Southern Italy. Basilicata is a land of beautiful forests that have undergone great manipulation over time. We shortly describe their history in the last two centuries, and talk about some scholars who studied these forests in the postwar period until the early eighties. Afterwards, we recall the early years of Forest Sciences courses at the University of Basilicata. In a separate box, we deal with the possibility to restore the mixed silver fir/beech forest in the mountains of Basilicata: we address the ways in which silver fir natural regeneration can be promoted, where this species is still present; and the reasons and know-how for reintroducing it, where silver fir is no longer present.

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Section: Forest@ -Rivista DI Selvicoltura Ed Ecologia Forestale Foresunclassified

Basilicata, land of forests and forest studies

Borghetti¹,

Moretti²

2020

Forest@

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“…La provvigione e la biomassa sono stimate sulla base di modelli di regressione sviluppati a partire da metriche estratte dal Canopy Height Model (CHM) di derivazione LiDAR, calibrati con appositi rilievi al suolo. Per individuare il corretto modello di stima da applicare, CFOR utilizza una cartografia delle formazioni forestali opportunamente riclassificate secondo il sistema messo a punto da Scrinzi et al (2017), al quale si rinvia anche per i dettagli dei modelli di stima. Il modulo VBP permette, inoltre, di caricare anche dati Li-DAR propri ed indipendenti qualora disponibili da parte dell'utente.…”

Section: Cfor: Sistema DI Supporto Alle Decisioni Per Le Foreste Calabreunclassified

CFOR: a spatial decision support system dedicated to forest management in Calabria

Puletti¹,

Floris²,

Scrinzi³

et al. 2017

Forest@

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Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy)

Scrinzi¹,

Floris²,

Clementel³

et al. 2017

Forest@

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Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy). The AlForLab project is part of the Cluster MEA (Materials Energy Environment) addressed to the Calabria Region. Estimating the main dendrometric variables of Calabrian forests using models based on publicly available remote sensed data is one of the main purposes of the project. This paper describes the procedures used to develop several thematic maps (raster and vector) of timber volume and phytomass to be used in planning and management activities at both regional and forest property scale, as well as for felling plans, logging projects etc. We used public LiDAR data at medium-low resolution (1.6 pts m -2 ), acquired on about 90% of Calabrian territory in the frame of a national remote sensing programme of the Italian Ministry of the Environment. Field data from the second National Forest Inventory (INFC 2005) on 311 sample points were used for model calibration, as well as new field data acquired specifically for AlForLab project on 143 angle count samples. A series of regression models to predict volume and its corresponding aboveground biomass (dry and fresh weight) were developed and digital maps at different spatial resolutions were produced, as well as their estimate uncertainties. These models and their mapping products are also an important part of the new-establishing forest Decision Support System CFOR. The adopted models, though based on the same mathematical equation, have specific coefficients for different species and groups of species, according to a forest type classification system compatible with the fourth level of Corine Land Cover. In this way it is possible to apply the models without accessing more detailed forest type maps. All estimation methods and procedures are consistent with national forest inventory models, and with the other new tools proposed by AlForLab project to estimate timber volume, such as the regional tariffs and the field sampling inventory procedures. R 2 adjusted values (for models at the highest typological detail) are between 60% and 85%, whereas uncertainties of timber volume estimate (ESS%) range from 25% (for main forest species) up to 50% (for less spread forest types). All processing steps to produce digital maps were performed on open-source environment (R and QGIS).Keywords: ALS, LiDAR, Timber Volume, Forest Biomass, Estimation Models, CHM, AlForLab Received: Feb 09, 2017; Accepted: Apr 19, 2017; Published online: May 15, 2017 Citation: Scrinzi G, Floris A, Clementel F, Bernardini V, Chianucci F, Greco S, Michelini T, Penasa A, Puletti N, Rizzo M, Turco R, Corona P, 2017. Modelli di stima del volume e delle fitomasse del soprassuolo arboreo delle principali formazioni forestali della Calabria mediante dati LiDAR. Forest@ 14: 175-187 [online 2017-05-15]

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TaCAL: a "tariffs" system of tree volume and phytomasses of forest tree species in Calabria (southern Italy)

Cited by 3 publications

References 2 publications

Basilicata, land of forests and forest studies

Basilicata, land of forests and forest studies

CFOR: a spatial decision support system dedicated to forest management in Calabria

Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy)

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