Loading...
Pubblicazioni Scientifiche
Filtri di ricerca 2 risultati
Pubblicazioni per anno
Tree-oriented silviculture for valuable timber production in mixed Turkey oak (Quercus cerris L.) coppices in Italy
Giuliarelli
,
Diego
,
Mingarelli
,
Elena
,
Corona
,
P.
,
Pelleri
,
F.
,
Alivernini
,
Alessandro
,
Chianucci
,
Francesco
Mostra abstract
Coppice management in Italy has traditionally focused on a single or few dominating tree species. Tree-oriented silviculture can represent an alternative management system to get high value timber production in mixed coppice forests. This study illustrates an application of the tree-oriented silvicultural approach in Turkey oak (Quercus cerris L.) coppice forests. The rationale behind the proposed silvicultural approach is to combine traditional coppicing and localized, single-tree practices to favor sporadic trees with valuable timber production. At this purpose, a limited number of target trees are selected and favored by localized thinning. In this study, the effectiveness of the proposed tree-oriented approach was compared with the customary coppice management by a financial evaluation. Results showed that the tree-oriented approach is a reliable silvicultural alternative for supporting valuable timber production in mixed oak coppice forests.
Post fire natural regeneration monitoring with the integrated use of high resolution remotely sensed images: The case study of the Pineta di Castel Fusano; Monitoraggio della rinnovazione naturale post incendio tramite l'uso integrato di immagini telerilevate ad alta risoluzione: Il caso della pineta di Castel Fusano
Chirici
,
Gherardo
,
Balsi
,
Marco
,
Bertini
,
Roberta
,
Bonora
,
Nico
,
Chiavetta
,
U.
,
Ottaviano
,
Marco
,
Corona
,
P.
,
Lamonaca
,
Andrea
,
Giuliarelli
,
Diego
,
Mastronardi
,
Alessandro
,
Nardinocchi
,
Giovanni
,
Sambucini
,
Valter
,
Tonti
,
Daniela
,
Marchetti
,
Marco
remote sensing
forest wildfires
k-nearest neighbors
natural re generation
neural networks
spatialisation
Mostra abstract
Stone pine stand of Castel Fusano (Rome) burnt on July the 4th 2000 during a huge wildfire. As a consequence of the fire an intensive natural sexual and asexual regeneration began. In order to monitor such a regeneration field surveys were carried out in 2003 and 2006 in sample plots. Remotely sensed high resolution images from Ikonos and Quick Bird were acquired for the same years. The purpose of this work is to test different methodologies for modeling existing relationships between remotely sensed images and ground collected data in order to estimate and to map both sexual and asexual regeneration. For such a purpose different methodologies were tested: step-wise Muliple Linear Regression, Neural Networks (Relevance-Vector-Machine and the Multi-Layered-Perceptron) and the k-Nearest-Neighbors. These activities were carried out within the framework of the GRINFOMED- MEDIFIRE also developing a specific software named Spatial Forest Modeler (SFM) able to analyze existing relationships between remotely sensed variables and data collected in the field in order to identify the best available models to map and estimate the studied variables acquired on the basis of a field sampling design. The present paper presents data collected in the field, analysis and modeling methods and achieved results. The SFM software is also presented.