http://http://dspace.unitus.it:80 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Sat, 18 May 2013 08:24:49 GMT 2013-05-18T08:24:49Z http://hdl.handle.net/2067/2213 Title: Stand structure attributes in potential Old-Growth Forests in the Apennines, Italy Authors: Calamini, Gianfranco; Maltoni, Alberto; Travaglini, Davide; Iovino, Francesco; Nicolaci, Antonino; Menguzzato, Giuliano; Corona, Piermaria; Ferrari, Barbara; Di Santo, Daniele; Chirici, Gherardo; Lombardi, Fabio Abstract: The aim of this paper is to provide early feedback on stand structure attributes in Italian Apennines forests that could be considered Old Growth Forests in the Mediterranean Eco-Region. Few data are nowadays available relating to this Region. 10 forest reserves across the Apennines were selected and a census of trees and structural parameters was conducted in permanent plots (0.16-1.0 ha), one plot for each selected forest stand. Dimensional and structural characters indicate a large variability among the investigated forest stands. The considered parameters are compared with those reported for other European countries. Old growth features and characteristics of each indicator should be revised and referred to the particular climatic and biogeographic context. The chosen forest study sites are to be considered old if related to common Apennine stands but, in some cases, their development stage is not so close to “truly” Old Growth Forest. Permanent plots allow future investigations on dynamic processes leading to real Old Growth Mediterranean Forests in Italian Apennines. Fri, 31 Dec 2010 23:00:00 GMT http://hdl.handle.net/2067/2213 2010-12-31T23:00:00Z http://hdl.handle.net/2067/2309 Title: Experimenting the design-based k-NN approach for mapping and estimation under forest management planning Authors: Mattioli, Walter; Quatrini, Valerio; Di Paolo, Silvia; Di Santo, Daniele; Giuliarelli, Diego; Angelini, Alice; Portoghesi, Luigi; Corona, Piermaria Abstract: Estimation and mapping of forest attributes are a fundamental support for forest management planning. This study describes a practical experimentation concerning the use of design-based k-Nearest Neighbors (k-NN) approach to estimate and map selected attributes in the framework of inventories at forest management level. The study area was the Chiarino forest within the Gran Sasso and Monti della Laga National Park (central Italy). Aboveground biomass and current annual increment of tree volume were selected as the attributes of interest for the test. Field data were acquired within 28 sample plots selected by stratified random sampling. Satellite data were acquired by a Landsat 5 TM multispectral image. Attributes from field surveys and Landsat image processing were coupled by k-NN to predict the attributes of interest for each pixel of the Landsat image. Achieved results demonstrate the effectiveness of the k-NN approach for statistical estimation, that is compatible with the produced forest attribute raster maps and also proves to be characterized, in the considered study case, by a precision double than that obtained by conventional inventory based on field sample plots only. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it Sat, 31 Dec 2011 23:00:00 GMT http://hdl.handle.net/2067/2309 2011-12-31T23:00:00Z