http://http://dspace.unitus.it:80 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. 2013-05-26T07:38:31Z http://hdl.handle.net/2067/235 Title: Espansione delle foreste italiane negli ultimi 50 anni : il caso della Regione Abruzzo Authors: Pompei, Enrico Abstract: La ricerca è stata rivolta alla conoscenza dei cambiamenti d’uso del suolo, ed in particolare della superficie forestale, avvenuti negli ultimi 50 anni nella Regione Abruzzo. L’approccio utilizzato è stato quello probabilistico di valutazione campionaria basato sulla classificazione della copertura del suolo ripetuta in occasioni successive sugli stessi punti di sondaggio, secondo il cosiddetto “inventario continuo”. Lo studio, utilizzando come base la metodologia del nuovo Inventario Nazionale delle Foreste e dei serbatoi di Carbonio (INFC) ha determinato la superficie ed il tasso di accrescimento annuo della superficie forestale degli ultimi 20 e 50 anni, oltre alla valutazione quantitativa della superficie forestale presente nel 1990, anno base per gli impegni legati al Protocollo di Kyoto. L’elaborazione di un modello previsionale ha esaminato le principali variabili significativamente determinanti (driving variables) i processi di espansione boschiva, permettendo di predire, nell’ipotesi di condizioni all’intorno costanti, dove in futuro il bosco potrà continuare l’azione di rinaturalizzazione. L’analisi strutturale di un bosco di neoformazione (in un caso studio in loc. Valle di Amplero, Collelongo – AQ) ha poi permesso di approfondire le conoscenze relative alla conformazione ed alla composizione di queste formazioni forestali.; The aim of this note is to improve the knowledge on land cover change, in particular forestland, over a period of 50 years. A probabilistic estimation approach, based on land cover classification, repeated on the same sample points for successive occasions was adopted. The approach (adopting the same sampling methodology of the Italian national forest inventory), was experimented in the Abruzzo region (Central Italy), where the rate of forest expansion was assessed by multitemporal classification of permanent sample points on aerial photos. The forest area in the year 1990, a figure of high relevance to report according to the Kyoto Protocol, was also assessed. Furthermore, a provisional model of expanding processes on forests, using the main driving variables was carried out. Finally, the structural analysis of a new forest area (case study of Amplero, Collelongo – AQ), was realized to permit a better understanding of figures of this kind of new forest. Description: Dottorato di ricerca in Ecologia forestale 2007-11-22T23:00:00Z http://hdl.handle.net/2067/2085 Title: Stima probabilistica del tasso di espansione annua e del valore al 1990 della superficie forestale nella Regione Abruzzo Authors: Corona, Piermaria; Pompei, Enrico; Scarascia Mugnozza, Giuseppe Abstract: In Italy, reliable updated data on forest expansion on a national or regional scale are not available. The aim of this note is to present a probabilistic estimation approach based on land cover classification repeated on the same sample points for two successive occasions. The approach was experimented in the Abruzzo region (Central Italy), where the rate of forest expansion was assessed by multitemporal classification of permanent sample points on orthocorrected aerial photos. The forest area at the year 1990, a figure of high relevance for reporting under the Kyoto Protocol, was also assessed. The proposed procedure proved to be relatively easy to implement and able to provide precise estimates, given the adopted sampling intensity (the same of the Italian national forest inventory). It is stressed that statistical figures of forest areas on wide territories obtained by estimation approaches like the proposed one are scientifically more defensible than those traditionally based on the complete mapping, being more objectively repeatable. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it 2004-12-31T23:00:00Z http://hdl.handle.net/2067/2115 Title: Modelling natural forest expansion on a landscape level by multinomial logistic regression Authors: Corona, Piermaria; Calvani, Paolo; Scarascia Mugnozza, Giuseppe; Pompei, Enrico Abstract: Natural forest expansion is one of the most relevant landscape changes in many temperate countries. Although large areas are involved, relatively few studies have been carried out with the objective of unravelling the specific impact of the individual factors characterising the sites prone to such a process. The aim of this article is to present a research tool for assessing the factors characterising farmland sites prone to natural conversion from crop growing and pasture to forests and other wooded land (OWL), and for predicting the probability of such a land-use change. The methodological approach is based on multinomial logistic regression. As a case study, the approach was applied to land-use classification repeated on the same sites in a large area of central Italy on two successive occasions, spanning two decades, from the beginning of the 1980s up to 2002. Of all the factors assessed, landscape attributes were identified as a sufficient subset for quantitative prediction of change from farmland to OWL or to forest. The tested modelling approach is explicitly empirical and planning-oriented. From a quantitative point of view, the precision of the models may be only indicative for assessing land-use change probability for single observations, while it is appropriate for predicting mean probabilities at a landscape mapping level, where it is possible to sample a number of sites. At this level, the approach is a useful tool for simulating future landscape scenarios related to natural forest expansion. Description: L'articolo è disponibile sul sito dell'editore www.tandf.co.uk/journals/ 2007-12-31T23:00:00Z http://hdl.handle.net/2067/2120 Title: Aerial assessment of landscape net change by means of two-phase network sampling: an application to central Italy Authors: Corona, Piermaria; Fattorini, Lorenzo; Pompei, Enrico Abstract: A design-based procedure for estimating the land cover net change between two dates in time is considered by means of aerial information. The aerial information in the first date consists of analogical photos while the aerial information in the second date consists of digital photos or satellite imagery. In the first phase of sampling a set of points is selected on the study area by means of unaligned systematic sampling. The digital imagery available for the second date may be readily adopted for spotting and classifying the first-phase points, thus obtaining a firstphase estimator of the areal extents in the second date. On the other hand, owing to the operational difficulties of spotting all the first-phase points on the analogical photos, a second-phase sample selected from these points is necessary to estimate the areal extents of the land categories in the first date. Finally, the land cover net changes may be estimated by means of the difference between the resulting estimates in the two dates. The use of stratified network sampling is considered in the second phase in order to handle the presence of analogical photos overlapping each other at their boundaries. An application of the procedure is considered for assessing the land cover net change in the Abruzzo Region (Central Italy) between the years 1954 and 2002. Description: L'articolo è disponibile sul sito dell'editore www.interscience.wiley.com 2006-12-31T23:00:00Z http://hdl.handle.net/2067/2316 Title: Extending large-scale forest inventories to assess urban forests Authors: Corona, Piermaria; Agrimi, Mariagrazia; Baffetta, Federica; Barbati, Anna; Chiriacò, Maria Vincenza; Fattorini, Lorenzo; Pompei, Enrico; Valentini, Riccardo; Mattioli, Walter Abstract: Urban areas are continuously expanding today, extending their influence on an increasingly large proportion of woods and trees located in or nearby urban and urbanizing areas, the socalled urban forests. Although these forests have the potential for significantly improving the quality the urban environment and the well-being of the urban population, data to quantify the extent and characteristics of urban forests are still lacking or fragmentary on a large scale. In this regard, an expansion of the domain of multipurpose forest inventories like National Forest Inventories (NFIs) towards urban forests would be required. To this end, it would be convenient to exploit the same sampling scheme applied in NFIs to assess the basic features of urban forests. This paper considers approximately unbiased estimators of abundance and coverage of urban forests, together with estimators of the corresponding variances, which can be achieved from the first phase of most largescale forest inventories. A simulation study is carried out in order to check the performance of the considered estimators under various situations involving the spatial distribution of the urban forests over the study area. An application is worked out on the data from the Italian NFI. Description: L'articolo è disponibile sul sito dell'editore www.springer.com 2011-12-31T23:00:00Z