http://http://dspace.unitus.it:80 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. 2013-05-19T13:16:16Z http://hdl.handle.net/2067/2151 Title: Biomass estimates by satellite data and ground measurements Authors: Chirici, Gherardo; Corona, Piermaria; Marchetti, Marco; Tonti, Daniela; Travaglini, Davide Abstract: L'abstract è disponibile nel file allegato 2009-12-31T23:00:00Z http://hdl.handle.net/2067/2148 Title: Sviluppo di una procedura innovativa per la cubatura del volume della massa legnosa di fustaie di latifoglie mediante LiDAR Authors: Corona, Piermaria; Chirici, Gherardo; Lamonaca, Andrea; Travaglini, Davide; Mason, Franco; Minari, Emma; Marchetti, Marco; Montaghi, Alessandro Abstract: La tecnica di scansione aerea con strumentazione LiDAR (Light Detection and Ranging) è sempre più presa in considerazione ai fini di analisi e monitoraggio degli attributi dendrometrici dei popolamenti forestali, ma anche per stimare attributi complessi quali il volume della massa legnosa e la biomassa legnosa. Il presente contributo propone una procedura innovativa per la stima del volume di massa legnosa di soprassuoli forestali mediante elaborazione di dati LiDAR in ambiente GIS, in particolare per i popolamenti a prevalenza di latifoglie dove i convenzionali metodi di stima basati sulle misurazioni LiDAR dell’altezza dei singoli fusti arborei conducono in genere a risultati relativamente insoddisfacenti. Description: L'articolo è disponibile sul sito dell'editore http://www.asita.it 2006-12-31T23:00:00Z http://hdl.handle.net/2067/2084 Title: Confronto di metodi parametrici e non-parametrici per la spazializzazione della provvigione legnosa tramite integrazione di misure a terra, dati telerilevati e informazioni ancillari Authors: Bertini, Roberta; Chirici, Gherardo; Corona, Piermaria; Travaglini, Davide Abstract: The use of remotely sensed data for forest inventory and monitoring of natural resources is ever increasing. Distinctively, remotely sensed data, integrated with ancillary data, can be exploited for the spazialization of biophysical attributes measured by forest inventories or management plans. Such applications are based on the relationships between the considered attributes and the spectral information measured by multispectral satellite images. Operative applications are commonly based on parametric or, more frequently, non-parametric approaches. The final aim of the present contribution is the spazialization of forest standing volume of various tree species in a study site in northern Italy by parametric (multiregressive) and non-parametric algorithms (k-Nearest Neighbors). The project is based on field data measured in productive forest stands dominated by Abies alba Mill. and/or Picea abies L. in the Provincia Autonoma di Trento (eastern Alpine Region of Italy). Remotely sensed images were acquired by the Landsat 7 ETM+ sensor while ancillary information is given by the altitude obtained from DEM and the site fertility from the GIS of the management plans. The contribution compares spazialization performance of several operative configurations of the tested methods in order to provide guidelines for the operative application of such techniques on vast areas. The study results emphasize the higher suitability of the tested non-parametric methods. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it 2006-12-31T23:00:00Z http://hdl.handle.net/2067/2122 Title: Potenzialità delle immagini telerilevate Spot 5 per inventari forestali su vasta scala. Authors: Davide, Travaglini; Chirici, Gherardo; Corona, Piermaria; Lamonaca, Andrea; Marchetti, Marco Abstract: The current needs of an in-depth knowledge about forest ecosystems requires the support of very detailed information. That is why up to now air-born imagery has been preferred to satellite imagery for forest inventory applications, at least in Italy. The new satellite sensors with high or very high spatial resolution and quite high spectral resolution allow to overcome such a limit and can be considered as suitable data for forest mapping at high and medium scales as well as inventory supports. In such a view, this paper shows the results of an experimental comparison between sampling point photointerpretation by Spot 5 images and by digital orthophotos (grey scale/8 bit), over a 15000-ha-wide study area in Central Italy. Albeit a more enlarged testing is needed for definitive conclusions, the obtained results already prove the significative efficiency of Spot 5 high resolution images for forest inventory application. 2002-12-31T23:00:00Z http://hdl.handle.net/2067/2098 Title: Spazializzazione di dati climatici a livello nazionale tramite modelli regressivi localizzati Authors: Blasi, Carlo; Chirici, Gherardo; Corona, Piermaria; Marchetti, Marco; Maselli, Fabio; Puletti, Nicola Abstract: The availability of spatialised climatic data is an essential pre-requisite for the implementation of GIS-based analysis in many application fields. Among the different methodologies for the spatialization of climatic data collected in weather-stations the most used are those based on geostatistical approaches, on parametric correlative models or on neural networks. Within the “Completamento delle Conoscenze Naturalistiche di Base” project, funded by the Italian Ministry for the Environment (Department of Nature Protection) a database of 403 weather-stations distributed across Italy with a time series of thirty years was collected. Data of mean monthly temperature (minimum and maximum) and rainfalls were spatialized by a local linear univariate regressive method based on elevation as independent variable. A total of 36 monthly maps with a geometric resolution of 250 m was generated. The present paper introduces the adopted methodology and the accuracy results estimated by leave-one-out cross validation. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it 2006-12-31T23:00:00Z http://hdl.handle.net/2067/2092 Title: Confronto sperimentale tra superfici a ceduo tagliate a raso osservate mediante immagini satellitari ad alta risoluzione e tagliate riscontrate amministrativamente Authors: Corona, Piermaria; Giuliarelli, Diego; Lamonaca, Andrea; Mattioli, Walter; Tonti, Daniela; Chirici, Gherardo; Marchetti, Marco Abstract: The aim of this work is to test the potential of SPOT5 satellite images for monitoring coppice clearcuts. The clearcuts, delineated by on screen interpretation of the satellite images, are compared with the administrative statistics reported for a sample of 230 administrative units. Administrative statistics result significantly lower than those by satellite images, with an average ratio between clearcut area observed by SPOT5 images within each sample unit and the corresponding administrative statistics equal to 1.45. The underestimation by the administrative data is likely due to the simplified process of authorization of coppice clearcuts as well as the eventual lack of timeliness and/or loss of data that sometimes hinder the information flow from administrative bodies to National Forest Service, that is in charge of feeding the official forest statistics. In the light of the experimentation carried out, an operational procedure by SPOT5 images is proposed for the statistical calibration of administrative data about coppice clearcuts. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it 2006-12-31T23:00:00Z http://hdl.handle.net/2067/2114 Title: ForestBIOTA data on deadwood monitoring in Europe Authors: Travaglini, Davide; Barbati, Anna; Chirici, Gherardo; Lombardi, Fabio; Marchetti, Marco; Corona, Piermaria Abstract: Deadwood is a key ecological factor in forest ecosystems. Its occurrence is fundamental since it represents a microhabitat for hundreds of species of invertebrates, fungi, bryophytes, lichens, amphibians, small mammals and birds. In recent years, deadwood has been recognized as a relevant indicator for the assessment and monitoring of forest biodiversity. In this paper the methodology for surveying woody necromass proposed by the ForestBIOTA project under Regulation (EC) No 2152/ 2003 (Forest Focus) is described. The amount of deadwood found on 91 Intensive Monitoring Level II plot of the EU and ICP Forest condition monitoring programme range from 0 to 258 m3 ha71. In the examined areas, total deadwood volume does not differ significantly among forest types, due to the high intra-type variability. On the other hand, its distribution between coarse and fine necromass and among necromass components is highly dependent on forest types. Description: L'articolo è disponibile sul sito dell'editore www.tandf.co.uk/journals/ 2006-12-31T23:00:00Z http://hdl.handle.net/2067/2090 Title: Background, main results and conclusions from a test phase for biodiversity assessments on intensive forest monitoring plots in Europe Authors: Fisher, Richard; Granke, Oliver; Chirici, Gherardo; Meyer, Peter; Seidling, Walter; Strofer, Silvia; Corona, Piermaria; Marchetti, Marco; Travaglini, Davide Abstract: The Forest Biodiversity Test phase Assessments (ForestBIOTA) project was carried out on 97 intensive monitoring plots located in 12 European countries. It aimed at the development and test implementation of monitoring methods for forest biodiversity across Europe. More specifically it covered the fields of (i) stand structure, (ii) forest deadwood, (iii) ground vegetation and (iv) epiphytic lichens. A forest type classification was applied in addition. The project took into account policy requirements stated by a number of political processes and institutions including the Convention on Biological Diversity, the Ministerial Conference for the Protection of Forests in Europe, the Environment for Europe Ministerial Conference and the European Union. Whereas detailed results of the assessments are presented in additional publications (Stofer et al. 2007, in prep, Meyer et al. 2007, submitted), this paper draws a number of general conclusions and gives recommendations for future development of forest biodiversity monitoring in Europe. 2008-12-31T23:00:00Z http://hdl.handle.net/2067/2080 Title: Use of remotely sensed and ancillary data for estimating forest gross primary productivity in Italy Authors: Maselli, Fabio; Barbati, Anna; Chiesi, Marta; Chirici, Gherardo; Corona, Piermaria Abstract: The current paper describes the development and testing of a procedure which can use widely available remotely sensed and ancillary data to assess large-scale patterns of forest productivity in Italy. To reach this objective a straightforward model (C-Fix) was applied which is based on the relationship between photosynthetically active radiation absorbed by plant canopies and relevant gross primary productivity (GPP). The original C-Fix methodology was improved by using more abundant ancillary information and more efficient techniques for NDVI data processing. In particular, two extraction methods were applied to NDVI data, derived from two sensors (NOAA-AVHRR and SPOT-VGT) to feed C-Fix. The accuracy of the model outputs was assessed through comparison with annual and monthly values of forest GPP derived from eight eddy covariance flux towers. The results obtained indicated the superiority of SPOT-VGT over NOAA-AVHRR data and a higher efficiency of the more advanced NDVI extraction method. Globally, the procedure was proved to be of easy and objective implementation and allowed the evaluation of mean productivity levels of existing forests on the national scale. Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com 2005-12-31T23:00:00Z http://hdl.handle.net/2067/2142 Title: Earth observation techniques and geographic information systems as tools for assessing land use/cover changes in a landscape context. Authors: Chirici, Gherardo; Kohl, Michael; Corona, Piermaria Abstract: This paper discusses the use of remote sensing and geographic information system techniques for the evaluation of land use/cover changes, examination of different landscape patterns, analysis of the connection between multi-temporal dynamics and environmental factors, and modelling and prediction of future evolution. Description: Il volume è disponibile sul sito dell'editore www.cabi.org 2005-12-31T23:00:00Z http://hdl.handle.net/2067/2095 Title: Forest ecotone survey by line intersect sampling Authors: Corona, Piermaria; Chirici, Gherardo; Travaglini, Davide Abstract: Given their ecological relevance, the survey of ecotones is of considerable interest in forest multiresource inventory. To this end, it is useful to set up survey procedures to provide efficient and reliable information about the length of such elements within the landscape mosaic. This note demonstrates a procedure based upon line intersect sampling on remotely sensed imagery. The estimate of ecotone length per unit area is obtained by visual interpretation of the changes from forest to other land use classes along each sampling line. The experimentation carried out in two test areas within forest landscapes of central Italy proves the operative soundness of the proposed procedure, which is more efficient than the classical approach by forest polygon delineation and perimeter mensuration in a GIS environment. Under the examined conditions, samples based on a moderately high number of lines characterized by relatively long length prove to be more efficient than those based on shorter survey units. Description: L'articolo è disponibile sul sito dell'editore www.nrcresearchpress.com 2003-12-31T23:00:00Z http://hdl.handle.net/2067/2144 Title: Estimation of growing stock of broadleaved forests by airborne laser scanning Authors: Corona, Piermaria; Lamonaca, Andrea; Chirici, Gherardo; Travaglini, Davide; Marchetti, Marco; Minari, Emma; Montaghi, Alessandro Abstract: Airborne laser scanning (ALS) is increasingly being proposed for surveying forest attributes. The objective of this paper is to present a new approach for the estimation of growing stock based on ALS data. The approach is distinctively developed for broadleaved stands where conventional methods for growing stock estimation based on ALS measurements of single tree heights frequently provide poor results. Theoretical background and model-based statistical estimators are reported. 2007-12-31T23:00:00Z http://hdl.handle.net/2067/2154 Title: Applications of very high resolution satellite imagery to forest ecosystem assessment Authors: Chirici, Gherardo; Barbati, Anna; Bottalico, Francesca; Corona, Piermaria Abstract: The latest generation of commercial satellite sensors provides image products with very high geometric resolution (VHR). VHR images have been extensively exploited in the last years for monitoring forest ecosystem conditions. This chapter presents a review of applications in several fields: forest assessment, forest mapping, detection of stand structural attributes, forest disturbances, estimation of forest biomass and other biophysical variables. Current scientific knowledge under each issue is discussed and most promising classification techniques and approaches are outlined Description: Il volume è disponibile sul sito dell'editore www.ressign.com 2009-12-31T23:00:00Z http://hdl.handle.net/2067/2143 Title: Armonizzazione degli inventari forestali per il monitoraggio della biodiversità Authors: Chirici, Gherardo; Marchetti, Marco; Corona, Piermaria Abstract: Gli approcci selvicolturali orientati alla gestione sostenibile delle risorse forestali richiedono la disponibilità di informazioni di supporto qualitativamente e quantitativamente superiori rispetto a quelle richieste da un approccio più tradizionale finalizzato alla massimizzazione della produzione legnosa. Negli ultimi anni la selvicoltura si è evoluta proponendo nuovi approcci orientati alla ottimizzazione delle funzionalità biologiche del sistema bosco. Parallelamente vari processi internazionali a livello Europeo (Ministerial Conference on the Protection of Forests in Europe, Streamlining Biodiversity Indicators by 2010) e globale (Montreal Process, Protocollo di Kyoto) richiedono la quantificazione di numerosi indicatori attraverso i quali valutare il livello di sostenibilità della gestione forestale e il valore ecologico degli ecosistemi forestali. L’ampliata domanda di informazioni su aspetti ecologici e ambientali delle foreste richiede un adattamento dei protocolli di rilevamento inventariale che ne costituiscono la principale fonte informativa. Il presente contributo è basato sui primi risultati dell’azione COST E43 “Harmonisation of National forest inventories in Europe: techniques for common reporting” Working Group 3 che è impegnato nella valutazione della capacità di reporting armonizzato del livello di biodiversità degli ecosistemi forestali da parte degli inventari forestali nazionali. Dall’analisi dei metodi, delle definizioni e dei protocolli adottati da 27 Paesi è possibile dedurre l’attuale capacità degli inventari forestali per la derivazione di un gruppo di indicatori della biodiversità forestale organizzati in sette aree tematiche (core variables): tipologie forestali, legno morto, diversità compositiva e strutturale, età, naturalità, vegetazione non forestale, rinnovazione. Sulla base delle analisi realizzate nell’azione COST E43 viene qui presentato l’inquadramento metodologico delle procedure di armonizzazione e la loro possibile applicazione finalizzata alla derivazione di indicatori di biodiversità forestale. 2008-12-31T23:00:00Z http://hdl.handle.net/2067/2133 Title: Evaluating the effects of environmental changes on the gross primary production of italian forests Authors: Maselli, Fabio; Moriondo, Marco; Chiesi, Marta; Chirici, Gherardo; Puletti, Nicola; Barbati, Anna; Corona, Piermaria Abstract: A ten-year data-set descriptive of Italian forest gross primary production (GPP) has been recently constructed by the application of Modified C-Fix, a parametric model driven by remote sensing and ancillary data. That data-set is currently being used to develop multivariate regression models which link the inter-year GPP variations of five forest types (white fir, beech, chestnut, deciduous and evergreen oaks) to seasonal values of temperature and precipitation. The five models obtained, which explain from 52% to 88% of the interyear GPP variability, are then applied to predict the effects of expected environmental changes (+2 °C and increased CO2 concentration). The results show a variable response of forest GPP to the simulated climate change, depending on the main ecosystem features. In contrast, the effects of increasing CO2 concentration are always positive and similar to those given by a combination of the two environmental factors. These findings are analyzed with reference to previous studies on the subject, particularly concerning Mediterranean environments. The analysis confirms the plausibility of the scenarios obtained, which can cast light on the important issue of forest carbon pool variations under expected global changes. 2008-12-31T23:00:00Z http://hdl.handle.net/2067/2082 Title: Large-scale monitoring of coppice forest clearcuts by multitemporal very high resolution satellite imagery. A case study from central Italy Authors: Chirici, Gherardo; Giuliarelli, Diego; Biscontini, Daniele; Tonti, Daniela; Mattioli, Walter; Marchetti, Marco; Corona, Piermaria Abstract: Reliable assessment of forest resource stock, productivity and harvesting is a commonly agreed objective of environmental monitoring programs. Distinctively, the assessment of wood harvesting has become even more relevant to evaluate the sustainability of forest management and to quantify forest carbon budget. This paper presents the development and testing of procedures for assessing forest harvesting in coppice forests by very high resolution (VHR) satellite imagery. The study area is located in central Italy over approximately 34,000 km2. A set of SPOT5 HRG multispectral images was acquired for the study years (2002–2007). Official administrative statistics of coppice clearcutswere also acquired.More than 9500 clearcuts weremapped and dated by on-screen interpretation of the SPOT5 images. In a subset of the study area various methods for semi-automatic clearcut mapping were tested by pixel- and object-oriented approaches. The following results are presented: (i) clearcut map developed by visual interpretation of the SPOT5 images resulted in high thematic (overall accuracy of 0.99) and geometric (rootmean square error of clearcut boundary delineation of 5.3 m) reliability; (ii) object-oriented approach achieved significantly better accuracy than pixel-based methods for semi-automatic classification of the coppice clearcuts; (iii) comparison between mapped clearcut area and official forest harvesting statistics proved a significant underestimation by the latter (65% of the total mapped clearcut area). A sample-based procedure exploiting VHR satellite imagery is finally proposed to correct the official statistics of coppice clearcuts. Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com 2010-12-31T23:00:00Z http://hdl.handle.net/2067/2137 Title: Area-based assessment of forest standing volume by field measurements and airborne laser scanner data Authors: Barbati, Anna; Chirici, Gherardo; Corona, Piermaria; Montaghi, Alessandro; Travaglini, Davide Abstract: Airborne laser scanning (ALS) is increasingly applied as a tool for extracting forest inventory data. In recent years most applications for the assessment of forest standing volume rely on a single tree recognition approach, which generally gives satisfactory results in coniferous forests. The aim of this paper is to apply a rasterbased approach for the assessment of forest standing volume based on field measurements and a Digital Canopy Model (DCM) derived from ALS data. In addition, we explore the potential of hot spot analysis of DCM data for automatic forest gap detection, as a means to improve the accuracy of the estimation of forest standing volume by traditional estimation methods. Description: L'articolo è disponibile sul sito dell'editore www.tandf.co.uk/journals/ 2008-12-31T23:00:00Z http://hdl.handle.net/2067/2135 Title: Estimation of Mediterranean forest attributes by the application of k-NN procedures to multitemporal Landsat ETM+ images Authors: Maselli, Fabio; Chirici, Gherardo; Bottai, Lorenzo; Corona, Piermaria; Marchetti, Marco Abstract: Routinely, applications of nonparametric estimation methods to satellite data for assisting the creation of forest inventories in Northern European countries are stimulating interest in the possible extension of these methods to more complex Mediterranean areas. This is the subject of the current work, which presents an experiment based on the integration of remotely sensed images and sample field measurements aimed at producing forest attribute maps in central Italy. Testing was carried out in an area where 370 geocoded field plots, sampled on a singlestage cluster design, were collected to characterize wood and non-wood forest attributes. These ground data served to apply various k-Nearest Neighbour (k- NN) estimation procedures to multitemporal Landsat 7 ETM+ images in order to map major forest attributes (basal area and simulated leaf area index, LAI). More specifically, the investigation focused on evaluating the effects of using satellite images from different periods of the growing season and spectral metrics of increasing complexity. The results achieved by the examined methods are finally discussed in order to provide guidelines for possible operational utilization. Description: L'articolo è disponibile sul sito dell'editore http://www.tandf.co.uk/journals/ 2004-12-31T23:00:00Z http://hdl.handle.net/2067/1909 Title: Mappatura sperimentale dei territori forestali a principale attitudine potenziale produttiva in Italia. Authors: Chirici, Gherardo; Corona, Piermaria; Nocentini, Susanna Abstract: For the operational implementation of strategic initiatives within the forest sector there is an increasing need of procedures for the identification of areas available for wood supply. This paper presents the experimental application of a GIS based methodology for classifying and mapping forest areas potentially suitable for wood supply on the basis of a georeferenced dataset available at the national level in Italy. The model here implemented is proposed as a supporting tool for decision makers in forest planning and land management. Results show that forest areas potentially available for wood supply are 40% of total national forest area 2005-12-31T23:00:00Z http://hdl.handle.net/2067/2117 Title: Post fire natural regeneration monitoring with the integrated use of high resolution remotely sensed images: the case study of the Pineta di Castel Fusano Authors: Chirici, Gherardo; Balsi, Marco; Bertini, Roberta; Bonora, Nico; Chiavetta, Ugo; Ottaviano, Marco; Corona, Piermaria; Lamonaca, Andrea; Giuliarelli, Diego; Mastronardi, Alessandro; Nardinocchi, Giovanni; Sambucini, Valter; Tonti, Daniela; Marchetti, Marco Abstract: La pineta di Castel Fusano (Roma) è stata colpita il 4 luglio del 2000 da un importante incendio boschivo in seguito al quale si è avviata nell’area una intensa rinnovazione naturale sia per via gamica che agamica. Ai fini di monitoraggio della suddetta rinnovazione sono stati realizzati una serie di rilievi a terra in aree campione nel 2003 e nel 2006. Negli stessi anni è stata acquisita la copertura di immagini telerilevate multispettrali ad altissima risoluzione Ikonos e Quick Bird. Scopo del presente lavoro è la sperimentazione di diverse metodologie finalizzate alla modellizzazione delle relazioni esistenti tra i dati telerilevati acquisiti e le misure realizzate a terra per la stima e la mappatura dei fenomeni di rinnovazione gamica e agamica. Sono stati per questo sperimentati metodi sia tradizionali di analisi regressiva multivariata, sia di tipo non parametrico, con algoritmi basati su reti neurali (Relevance Vector Machine e Multi-Layer Perceptron) e k-Nearest Neighbors. Le attività si inquadrano nell’ambito del progetto GRINFOMED - MEDIFIRE per il quale è stato realizzato un apposito software denominato Spatial Forest Modeller (SFM) capace di analizzare le relazioni tra variabili telerilevate e misurate a terra e di individuare i modelli predittivi migliori in modo da derivare mappe tematiche delle variabili acquisite mediante campionamento a terra. Il contributo illustra i dati acquisiti, le metodologie di analisi e di modellizzazione e i risultati ottenuti. Viene inoltre illustrato il funzionamento del software SFM.; 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. 2007-12-31T23:00:00Z http://hdl.handle.net/2067/2134 Title: LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows Authors: Ricotta, Carlo; Corona, Piermaria; Marchetti, Marco; Chirici, Gherardo; Innamorati, Stefano Abstract: Landscape ecology starts from the assumption that diversity and spatial arrangement of ecosystem mosaics have ecological implications and tries to understand the interactions between diversity and structure of large spatially heterogeneous areas and their ecological functions. These assumptions imply effective use of earth observation techniques and geographic information systems, enabling a global view of the landscape mosaics. In this paper, a software, LaDy (Landscape Diversity Software), for computing Re´nyi’s local landscape diversity profile on raster land cover maps is presented. LaDy is based on the use of Merchant’s adaptive geographic window, which is designed to operate on a neighborhood of patches instead of a fixed rectangular neighborhood of pixels (the conventional approach in image analysis). Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com 2002-12-31T23:00:00Z http://hdl.handle.net/2067/2136 Title: Estimating forest area at the year 1990 by two-phase sampling on historical remotely sensed imagery in Italy Authors: Corona, Piermaria; Fattorini, Lorenzo; Chirici, Gherardo; Valentini, Riccardo; Marchetti, Marco Abstract: Forest area in the year 1990 is a fi gure of great interest under the Kyoto Protocol. This note is devoted to a scientifi c exercise for the probabilistic ex post assessment of such a fi gure in Italy. Estimation was performed by twophase point sampling, which made use of historical remotely sensed imagery. In the fi rst phase, a sample of 12 089 points was selected according to an unaligned systematic sampling and the selected points were classifi ed in land-use categories by Landsat 5 TM imagery. In the second phase, a sample of 3000 points was selected by stratifi ed sampling in which the strata were determined by the satellite classifi cation and the selected points were classifi ed by aerial photos, assumed as ground truth. A two-phase estimate of land-use coverage partitioning the Italian territory was obtained together with a conservative estimate of the sampling variance-covariance. The procedure has proved to be of relatively easy implementation and objective repeatability Description: L'articolo è disponibile sul sito dell'editore http://www.springerlink.com/ 2006-12-31T23:00:00Z http://hdl.handle.net/2067/1902 Title: Deadwood in forest stands close to old-growthness under Mediterranean conditions in the Italian Peninsula Authors: Corona, Piermaria; Lombardi, Fabio; Chirici, Gherardo; Marchetti, Marco; Tognetti, Roberto; Lasserre, Bruno; Barbati, Anna; Ferrari, Barbara; Di Paolo, Silvia; Giuliarelli, Diego; Iovino, Francesco; Nicolaci, Antonino; Bianchi, Livio; Maltoni, Alberto; Travaglini, Davide Abstract: Considering that indicators of old-growth features can vary across the European ecoregions, this paper provides some results to identify the distinctive traits of old-growth forests in the Mediterranean ecoregion. Deadwood occurrence as indicator of naturalness is investigated in some remote forest areas that have developed in absence of anthropogenic disturbance over the past few decades. Eleven study sites across the Italian peninsula were elected and records of deadwood were carried out in 1-ha size plots. Deadwood volume, deadwood types and decay stages were inventoried in the selected sites. The amounts of deadwood indicate a large variability among the investigated forest stands: the total volume ranged between 2 and 143 m3ha-1, with an average of 60 m3ha-1. Lying deadwood is the most abundant component of deadwood in the investigated forests, due to the natural mortality occurring in the stands in relation to the processes established in the last decades. On the contrary, stumps are the less represented type of deadwood in almost all the study areas. All the decay classes are present in each study site. The amount of deadwood in Southern Europe, even if lower than that reported for North and Central European countries, could have a different meaning due to the faster decay occurring in Mediterranean forest ecosystems. For this reason, old-growth features and the characteristics of each indicator should be framed and referred to well-defined climatic and biogeographic contexts. Distinctively, under the conditions here investigated, three main deadwood features prove to characterize forest stands close to old-growthness: a ratio of dead to living wood not lower than 10%; lying deadwood much more abundant than the standing one; large range of deadwood size and decay classes across all the deadwood components. 2009-12-31T23:00:00Z http://hdl.handle.net/2067/2131 Title: On parametric fragmentation measures Authors: Ricotta, Carlo; Corona, Piermaria; Marchetti, Marco; Chirici, Gherardo Abstract: In the landscape ecological literature, a number of measures have been proposed for quantifying landscape fragmentation based on distinct objectives and motivations. However, none seems to be generally preferred. The main reason for this disagreement is that, from a statistical viewpoint, by mapping fragmentation into a single scalar, information is necessarily lost and no ideal function is able to uniquely characterize all aspects of landscape fragmentation. A more complete summarization of fragmentation is possible if, instead of one single index, a parametric index family is applied whose members have varying sensitivities to the presence of large and small landscape patches. While traditional indices supply point descriptions of fragmentation, according to a parametric fragmentation family Ha, there is a continuum of possible fragmentation measures that differ in their sensitivity to the presence of large and small patches as a function of the scaling parameter a. Therefore, changing a allows for vector description of fragmentation. The purpose of this paper is to introduce a parametric generalization of Shannon’s entropy to summarize landscape fragmentation. A small set of artificial landscapes is used to clarify our proposal Description: L'articolo è disponibile sul sito dell'editore www.springerlink.com 2005-12-31T23:00:00Z http://hdl.handle.net/2067/2102 Title: An overview of passive remote sensing for post-fire monitoring Authors: Corona, Piermaria; Chirici, Gherardo Abstract: Monitoring of forest burnt areas has several aims: to locate and estimate the extent of such areas; to assess the damages suffered by the forest stands; to check the ability of the ecosystem to naturally recover after the fire; to support the planning of reclamation interventions; to assess the dynamics (pattern and speed) of the natural recovery; to check the outcome of any eventual restoration intervention. Remote sensing is an important source of information to support all such tasks. In the last decades, the effectiveness of remotely sensed imagery is increasing due to the advancement of tools and techniques, and to the lowering of the costs, in relative terms. For an effective support to post-fire management (burnt scar perimeter mapping, damage severity assessment, post-fire vegetation monitoring), a mapping scale of at least 1:10000-1:20000 is required: hence, the selection of remotely sensed data is restricted to aerial imagery and to satellite imagery characterized by high (HR) and, above all, very high (VHR) spatial resolution. In the last decade, HR and VHR passive remote sensing has widespread, providing affordable multitemporal and multispectral pictures of the considered phenomena, at different scales (spatial, temporal and spectral resolutions) with reference to the monitoring needs. In the light of such a potential, the integration of GPS field survey and HR (Landsat 7, Spot HVR) and VHR satellite imagery (Ikonos, Quickbird, Spot 5) is currently sought as a highly viable option for the post-fire monitoring. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it 2004-12-31T23:00:00Z http://hdl.handle.net/2067/1939 Title: Remote sensing support for post fire forest management Authors: Corona, Piermaria; Lamonaca, Andrea; Chirici, Gherardo Abstract: Monitoring of forest burnt areas has several aims: to locate and estimate the extent of such areas; to assess the damages suffered by the forest stands; to check the ability of the ecosystem to naturally recover after the fire; to support the planning of reclamation interventions; to assess the dynamics (pattern and speed) of the natural recovery; to check the outcome of any eventual restoration intervention. Remote sensing is an important source of information to support all such tasks. In the last decades, the effectiveness of remotely sensed imagery is increasing due to the advancement of tools and techniques, and to the lowering of the costs, in relative terms. For an effective support to post-fire management (burnt scar perimeter mapping, damage severity assessment, post-fire vegetation monitoring), a mapping scale of at least 1:10000-1:20000 is required: hence, the selection of remotely sensed data is restricted to aerial imagery and to satellite imagery characterized by high (HR) and, above all, very high (VHR) spatial resolution. In the last decade, HR and VHR passive (optical) remote sensing has widespread, providing affordable multitemporal and multispectral pictures of the considered phenomena, at different scales (spatial, temporal and spectral resolutions) with reference to the monitoring needs. In the light of such a potential, the integration of GPS field survey and imagery by light aerial vectors or VHR satellite is currently sought as a viable option for the post-fire monitoring. 2007-12-31T23:00:00Z http://hdl.handle.net/2067/2088 Title: Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems Authors: Maselli, Fabio; Papale, Dario; Puletti, Nicola; Chirici, Gherardo; Corona, Piermaria Abstract: This paper describes the development and testing of a procedure which combines remotely sensed and ancillary data to monitor forest productivity in Italy. The procedure is based on a straightforward parametric model (C-Fix) that uses the relationship between the fraction of photosynthetically active radiation absorbed by plant canopies (fAPAR) and relevant gross primary productivity (GPP). Estimates of forest fAPAR are derived from Spot-VGT NDVI images and are combined with spatially consistent data layers obtained by the elaboration of ground meteorological measurements. The original version of C-Fix is first applied to estimate monthly GPP of Italian forests during eight years (1999–2006). Next, a modification of the model is proposed in order to simulate the short-term effect of summer water stress more efficiently. The accuracy of the original and modified C-Fix versions is evaluated by comparison with GPP data taken at eight Italian eddy covariance flux tower sites. The experimental results confirm the capacity of C-Fix to monitor national forest GPP patterns and indicate the utility of considering the short-term effect of water stress during Mediterranean dry months. Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com 2008-12-31T23:00:00Z http://hdl.handle.net/2067/2086 Title: Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems Authors: Chirici, Gherardo; Barbati, Anna; Corona, Piermaria; Marchetti, Marco; Maselli, Fabio; Bertini, Roberta Abstract: This paper describes applications of non-parametric and parametric methods for estimating forest growing stock volume using Landsat images on the basis of data measured in the field, integrated with ancillary information. Several k-Nearest Neighbors (k-NN) algorithm configurations were tested in two study areas in Italy belonging to Mediterranean and Alpine ecosystems. Field data were acquired by the regional forest inventory and forest management plans, and satellite images are from Landsat 5 TM and Landsat 7 ETM+. The paper describes the data used, the methodologies adopted and the results achieved in terms of pixel level accuracy of forest growing stock volume estimates. The results show that several factors affect estimation accuracy when using the k-NN method. For the two test areas a total of 3500 different configurations of the k-NN algorithm were systematically tested by changing the number and type of spectral and ancillary input variables, type of multidimensional distance measures, number of nearest neighbors and methods for spectral feature extraction using the leave-one-out (LOO) procedure. The best k-NN configurations were then used for pixel level estimation; the accuracy was estimated with a bootstrapping procedure; and the results were compared to estimates obtained using parametric regression methods implemented on the same data set. The best k-NN growing stock volume pixel level estimates in the Alpine area have a Root Mean Square Error (RMSE) ranging between 74 and 96 m3 ha− 1 (respectively, 22% and 28% of the mean measured value) and between 106 and 135 m3 ha− 1 (respectively, 44% and 63% of the mean measured value) in the Mediterranean area. On the whole, the results cast a promising light on the use of non-parametric techniques for forest attribute estimation and mapping with accuracy high enough to support forest planning activities in such complex landscapes. The results of the LOO analyses also highlight the importance of a local empirical optimization phase of the k-NN procedure before defining the best algorithm configuration. In the tests performed the pixel level accuracy increased, depending on the k-NN configuration, as much as 100%. Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com 2007-12-31T23:00:00Z http://hdl.handle.net/2067/2111 Title: Monitoring and assessing old-growth forest stands by plot sampling Authors: Corona, Piermaria; Blasi, Carlo; Chirici, Gherardo; Facioni, Laura; Fattorini, Lorenzo; Ferrari, Barbara Abstract: Forest inventories are evolving towards multipurpose resource surveys, broadening their scope by including additional topics such as biodiversity issues. Surprisingly, few quantitative surveys have been devoted to old-growth forests, even if they constitute the most acknowledged forest biodiversity icons. In this framework, the use of probabilistic sampling may provide an effective as well as rigorous support for monitoring and assessing old-growth forests. To this purpose, the present paper proposes a two-phase sampling scheme. In the first phase, a coarse survey of few floristic and stand structural attributes is carried out by means of small plots systematically placed on the study area. Subsequently, in the second phase, a fine assessment of a large number of ecological attributes is performed on a subset of enlarged plots selected among the first-phase ones by means of simple random sampling without replacement. The proposed sampling scheme is implemented for monitoring and assessing the old forests of Cilento National Park (southern Italy). Results and comments are provided as an exemplicative case study. Description: L'articolo è disponibile sul sito dell'editore www.tandf.co.uk/journals/ 2009-12-31T23:00:00Z http://hdl.handle.net/2067/2118 Title: Forest ecosystem inventory and monitoring as a framework for terrestrial natural renewable resource survey programmes Authors: Corona, Piermaria; Chirici, Gherardo; Marchetti, Marco Abstract: The established practice of forest ecosystem inventory and monitoring is recognised as a main support for terrestrial natural renewable resource survey programmes. Inventory and monitoring programmes focused on an overall assessment of ecosystem attributes evolving into global environmental survey programmes have been devised, but implementation is still quite contradictory. The state-of-the-art is discussed here, with special reference to the European Union and Italy. Topical issues are reviewed, with selective concern to: remote sensing capability, probability sampling, forest type (habitat) classification and landscape ecology, sustainable management indicators. Benefits brought by information technology are highlighted. Its development and the implementation of approaches based on a sound “per habitat” landscape ecological perspective will bring unique benefits, thus leading to an effective integration among sector surveys aimed at global environmental inventory/monitoring. Description: L'articolo è disponibile sul sito dell'editore www.tandf.co.uk/journals/ 2001-12-31T23:00:00Z http://hdl.handle.net/2067/2138 Title: Aspects of biological diversity in the CONECOFOR plots. V. Deadwood surveying experiments in alpine and mediterranean forest ecosystems Authors: Travaglini, Davide; Mason, Franco; Lopresti, Massimo; Lombardi, Fabio; Marchetti, Marco; Chirici, Gherardo; Corona, Piermaria Abstract: In recent years, deadwood has become more and more considered as indicator in the assessment of the biodiversity and naturalness of forest ecosystems. Its occurrence, in an appropriate proportion according to forest use, is fundamental for the maintenance of biological diversity, since it represents a microhabitat for hundred of species of invertebrates, fungi, bryophytes, lichens, amphibians, small mammals and birds. Having acknowledged its importance in forest coenoses, quantification of deadwood components in a given habitat, in relation to forest type and type of management, becomes essential. In our study, different survey designs were tested and compared for assessing deadwood components: stumps, lying coarse wood pieces and lying fine wood pieces. As expected, the experiments carried out show that sample-based estimates of ground necromass tend to be more accurate as the quantity of necromass present within the area to be surveyed and the size of the sampling units increase. The adoption of four 7-m-radius subplots in a systematic configuration has proved to be a good compromise between accuracy and survey costs for volume estimation of stumps and lying wood pieces within the examined experimental forest stand plot.; Esperienze sperimentali di rilevamento della necromassa legnosa in cenosi forestali alpine e mediterranee. Negli ultimi anni, il legno morto è sempre più considerato un indicatore per valutare la biodiversità e la naturalità di un sistema forestale. La sua presenza, nelle opportune proporzioni commisurate anche alle finalità di coltivazione della foresta, è fondamentale per il mantenimento della diversità biologica, rappresentando il microhabitat per centinaia di specie di invertebrati, funghi, briofite, licheni, anfibi, piccoli mammiferi ed uccelli. Riconosciuta l’importanza della necromassa legnosa nelle cenosi forestali, diviene fondamentale la sua quantificazione in un determinato ambiente, distinguendone la presenza in funzione dei tipi forestali e delle forme di gestione. A tal fine, in questo studio sono state sperimentate e valutate comparativamente differenti strategie di rilievo di alcune componenti della necromassa legnosa a terra: ceppaie, rami grossi e rami fini. Come atteso, la sperimentazione mostra che la stima della necromassa grossolana e fine a terra tende ad essere più accurata all’aumentare della quantità di legno morto presente e all’aumentare delle dimensioni della superficie di rilevamento. Nelle condizioni esaminate, l’adozione di quattro subplots di 7 m di raggio in configurazione sistematica è risultato un buon compromesso tra accuratezza e costi di indagine per la stima del volume delle ceppaie e del legno morto a terra. 2005-12-31T23:00:00Z http://hdl.handle.net/2067/2166 Title: Analisi della struttura spaziale e pianificazione del paesaggio agro-forestale: prospettive d’integrazione Authors: Barbati, Anna; Chirici, Gherardo Abstract: L’ecologia del paesaggio offre un ampio spettro di tecniche d’analisi applicabili a cartografie di uso e copertura del suolo per derivare informazioni quantitative su una varietà di aspetti della configurazione spaziale del mosaico paesistico; tra gli altri, misure relative alla estensione, forma, e livello di frammentazione spaziale delle superfici forestali (o di altre categorie di habitat naturali e seminaturali) sono ritenute utili a rispondere a requisiti informativi tipicamente formulati nel contesto di politiche di conservazione della biodiversità. Analisi della struttura del paesaggio possono anche supportare l’individuazione di ambiti territoriali omogenei per valore paesaggistico da individuare nel piano paesaggistico regionale, rispetto ai quali pianificare obiettivi di qualità paesaggistica e prescrizioni per la tutela e l'uso del territorio (vd. D. Lgs. 42/2004, Codice Urbani). Le metodologie di analisi e il monitoraggio della struttura spaziale del paesaggio agro-forestale sono ormai numerose e consolidate; tuttavia, solo di recente i risultati di questi studi hanno cominciato a supportare e orientare politiche di pianificazione del territorio per la formulazione di strategie di sviluppo territoriale differenziate in rapporto alle esigenze di conservazione degli habitat e della biodiversità e di salvaguardia del paesaggio calibrate in base alle specificità dei singoli territori. In particolare, il tema delle reti ecologiche, è divenuto oggetto specifico di pianificazione all’interno degli strumenti di area vasta. In questa prospettiva il presente contributo intende delineare alcune riflessioni su come raccordare le conoscenze dell’ecologia del paesaggio alla formulazione di obiettivi di salvaguardia e valorizzazione del paesaggio, tenendo conto della configurazione attuale del sistema delle pianificazioni aventi competenza in materia di governo del paesaggio. Focalizzando l’attenzione su le problematiche di governo del paesaggio più tipiche del paesaggio agro-forestale, vengono inoltre prospettate alcune considerazioni sul possibile ruolo della gestione forestale come strumento d’attuazione delle previsioni inerenti la tutela e la riqualificazione del paesaggio espresse dagli strumenti di pianificazione di area vasta. 2008-12-31T23:00:00Z 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. 2010-12-31T23:00:00Z http://hdl.handle.net/2067/2294 Title: Stima dei flussi di carbonio degli ecosistemi forestali italiani attraverso dati telerilevati ed ancillari Authors: Chirici, Gherardo; Chiesi, Marta; Pasqui, Massimiliano; Corona, Piermaria; Salvati, Riccardo; Barbati, Anna; Lombardi, Fabio; Maselli, Fabio Abstract: Le foreste rivestono un ruolo fondamentale nell’ambito dei cicli bio-geo-chimici di molti elementi quali, tra gli altri, azoto e carbonio. In particolare possono svolgere l’importante funzione di assorbitori di carbonio, sottraendo CO2 dall’atmosfera. Per questo, ed in vista dei cambiamenti climatici in atto sul nostro pianeta, un obiettivo importante è quello di quantificare l’effettivo accumulo di carbonio stoccato nelle foreste italiane. A questo ambisce il progetto FIRB C_FORSAT finanziato dal MIUR fino al 2013. Tra le metodologie proposte per raggiungere tale scopo (tecniche di eddy covariance, immagini da satellite e modelli bio-geochimici), quelle basate sull’impiego di modelli di simulazione dell’ecosistema unite all’utilizzo di dati telerilevati risultano le più promettenti. Esse infatti uniscono la possibilità offerta dai modelli di stimare tutti i processi dell’ecosistema (GPP, NPP ed NEE) basandosi sulla conoscenza delle specie analizzate e dell’ambiente in cui si trovano con quella di ottenere informazioni su vasta scala spaziale e con alto grado di ripetizione grazie all’uso di dati tele rilevati. A questo scopo il modello bio-geochimico BIOME-BGC opportunamente calibrato e validato per le principali classi forestali italiane appare particolarmente utile. L’utilizzo del modello in forma spazializzata su base nazionale richiede però la disponibilità di una vasta disponibilità di strati informativi. Tra questi i dati meteorologici giornalieri sono particolarmente critici, in quanto non risultano ancora disponibili sul territorio nazionale. Il contributo richiama brevemente la metodologia utilizzata nel progetto e si sofferma in particolare sull’approccio individuato per la generazione della banca dati meteo spazializzata ed il suo utilizzo per simulare il comportamento della macchia mediterranea.; Forests play an important role within numerous bio-geo-chemical cycles among which those of nitrogen and carbon. In particular, forests can behave as carbon sink by removing CO2 from the atmosphere. For this reason, and in view of global climate changes, it is important to quantify the amount of carbon stocked within Italian forest ecosystems. This is the objective of the FIRB project C_FORSAT financed by MIUR up to 2013. Among the available methodologies (eddy-covariance, remote sensing and bio-geo-chemical models), those based on the combined use of ecosystem simulation model and remotely sensed data are the most promising. They in fact enable to estimate all ecosystem processes (GPP, NPP and NEE) based on the knowledge of the species and the environment in which these live. Moreover, they offer the possibility to obtain spatial information with a high temporal frequency. The model BIOME-BGC is particularly useful to this aim after proper calibration and validation for the main Italian forest types. It requires numerous data layers, among which daily meteorological data are the most difficult to obtain for the whole national territory. This contribution summirezes the main methodological steps and focuses on the creation of a daily meteorological database, which is utilized to drive the simulation of Mediterranean macchia. Description: La pubblicazione è disponibile all'indirizzo http://www.attiasita.it/ASITA2011/indice_atti.html 2010-12-31T23:00:00Z http://hdl.handle.net/2067/2312 Title: Assessing Deadwood Using Harmonized National Forest Inventory Data Authors: Rondeux, Jacques; Bertini, Roberta; Bastrup-Birk, Annemarie; Corona, Piermaria; Latte, Nicolas; McRoberts, Ronald E.; Ståhl, Göran; Winter, Susanne; Chirici, Gherardo Abstract: Deadwood plays an important role in forest ecological processes and is fundamental for the maintenance of biological diversity. Further, it is a forest carbon pool whose assessment must be reported for international agreements dealing with protection and forest management sustainability. Despite wide agreement on deadwood monitoring by national forest inventories (NFIs), much work is still necessary to clarify definitions so that estimates can be directly compared or aggregated for international reporting. There is an urgent need for an international consensus on definitions and agreement on harmonization methods. The study addresses two main objectives: to analyze the feasibility of harmonization procedures for deadwood estimates and to evaluate the impact of the harmonization process based on different definitions on final deadwood estimates. Results are reported for an experimental harmonization test using NFI deadwood data from 9,208 sample plots measured in nine European countries and the United States. Harmonization methods were investigated for volume by spatial position (lying or standing), decay classes, and woody species accompanied by accuracy assessments. Estimates of mean plot volume based on harmonized definitions with minimum length/height of 1 m and minimum diameter thresholds of 10, 12, and 20 cm were on average 3, 8, and 30% smaller, respectively, than estimates based on national definitions. Volume differences were less when estimated for various deadwood categories. An accuracy assessment demonstrated that, on average, the harmonization procedures did not substantially alter deadwood observations (root mean square error 23.17%). Description: L'articolo è disponibile sul sito dell'editore www.safnet.org 2011-12-31T23:00:00Z http://hdl.handle.net/2067/2308 Title: Use of BIOME-BGC to simulate water and carbon fluxes within Mediterranean macchia Authors: Chiesi, Marta; Chirici, Gherardo; Corona, Piermaria; Duce, Pierpaolo; Salvati, Riccardo; Spano, Donatella; Vaccari, Francesco; Maselli, Fabio Abstract: The biogeochemical model BIOME-BGC is capable to estimate the main ecophysiological processes characterising all terrestrial ecosystems. To this aim it needs to be properly adapted to reproduce the behaviour of each biome type through a calibration phase. The aim of this paper is to adapt BIOME-BGC to reproduce the evapotranspiration (ET) and photosynthesis (GPP) of Mediterranean macchia spread all over Italy. Ten different sites were selected in the Centre-South of Italy and their gross primary production (GPP) was estimated by applying a parametric model, C-Fix, based on remotely sensed data for ten years (1999-2008). These monthly data were then used to calibrate BIOME-BGC through an iterative process which led to reproduce the spatial and temporal GPP variations found by C-Fix. The calibrated model was then applied to simulate the ET and GPP of two Italian sites characterised by the presence of an eddy flux tower; its performances were evaluated against ground data by common statistics. The results obtained indicate that, after a proper calibration phase, BIOME-BGC can be applied to estimate the evapotranspiration and photosynthesis of Mediterranean macchia with a good accuracy, strictly dependent on the input data utilised. Description: L'articolo è disponibile sul sito dell'editore www.sisef.it 2011-12-31T23:00:00Z http://hdl.handle.net/2067/2307 Title: Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in Italy Authors: Corona, Piermaria; Cartisano, Rosaria; Salvati, Riccardo; Chirici, Gherardo; Floris, Antonio; Di Martino, Paolo; Marchetti, Marco; Scrinzi, Gianfranco; Clementel, Fabrizio; Torresan, Chiara Abstract: This paper aims to provide general considerations, in the form of a scientific review, with reference to selected experiences of ALS applications under alpine, temperate and Mediterranean environments in Italy as case studies. In Italy, the use of ALS data have been mainly focused on the stratification of forest stands and the estimation of their timber volume and biomass at local scale. Potential for ALS data exploitation concerns their integration in forest inventories on large territories, their usage for silvicultural systems detection and their use for the estimation of fuel load in forest and pre-forest stands. Multitemporal ALS may even be suitable to support the assessment of current annual volume increment and the harvesting rates. 2011-12-31T23:00:00Z http://hdl.handle.net/2067/2333 Title: K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k-Nearest Neighbors algorithm Authors: Chirici, Gherardo; Corona, Piermaria; Marchetti, Marco; Mastronardi, Alessandro; Maselli, Fabio; Bottai, Lorenzo; Travaglini, Davide Abstract: In the last decades researchers investigated the possibility of extending the information collected in sampling units during a field survey to wider geographical areas through the use of remotely sensed images. One of the most widely adopted approaches is based on the non-parametric k-Nearest Neighbors (k-NN) algorithm. This contribution describes the software K-NN FOREST we developed to provide a complete tool for the implementation of the k-NN technique to generate spatially explicit estimations (maps) of a response variable acquired in the field by sampling units through the use of remotely sensed data or other ancillary variables. K-NN FOREST is designed to guide the user through a graphic user interface in the different phases of the process. K-NN FOREST is freely available for download and it is designed to run under Windows environment in conjunction with the GIS software IDRISI. 2011-12-31T23:00:00Z http://hdl.handle.net/2067/2347 Title: Contribution of large-scale forest inventories to biodiversity assessment and monitoring Authors: Corona, Piermaria; Chirici, Gherardo; McRoberts, Ronald E.; Winter, Susan; Barbati, Anna Abstract: Statistically-designed inventories and biodiversity monitoring programs are gaining relevance for biological conservation and natural resources management. Mandated periodic surveys provide unique opportunities to identify and satisfy natural resources management information needs. However, this is not an end in itself but rather is the beginning of a process that should lead to sound decision-making in biodiversity conservation. Forest inventories are currently evolving towards multipurpose resource surveys and are broadening their scope in several directions: (i) expansion of the target population to include non-traditional attributes such as trees outside the forest and urban forests; (ii) forest carbon pools and carbon sequestration estimation; (iii) assessment of forest health; and (iv) inclusion of additional variables such as biodiversity attributes that are not directly related to timber assessment and wood harvesting. There is an on-going debate regarding the role of forest inventories in biodiversity assessment and monitoring. This paper presents a review on the topic that aims at providing updated knowledge on the current contribution of forest inventories to the assessment and monitoring of forest biodiversity conditions on a large scale. Specific objectives are fourfold: (i) to highlight the types of forest biodiversity indicators that can be estimated from data collected in the framework of standard forest inventories and the implications of different sampling methods on the estimation of the indicators; (ii) to outline current possibilities for harmonized estimation of biodiversity indicators in Europe from National Forest Inventory data; (iii) to show the added value for forest biodiversity monitoring of framing biodiversity indicators into ecologically meaningful forest type units; and (iv) to examine the potential of forest inventory sample data for estimating landscape biodiversity metrics Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com 2010-12-31T23:00:00Z http://hdl.handle.net/2067/2340 Title: Potenzialità del telerilevamento laser scanner aereo per la classificazione delle coperture forestali in funzione della forma di governo Authors: Travaglini, Davide; Bottalico, Francesca; Chirici, Gherardo; Corona, Piermaria; Nocentini, Susanna Abstract: In questo studio è stata valutata la potenzialità del telerilevamento laser scanner aereo (ALS) per classificare le forme di governo forestale in un bosco misto di latifoglie. La metodologia applicata prevede l’utilizzo del modello digitale delle chiome (CHM) ottenuto da dati ALS e l’impiego di procedure automatizzate per la segmentazione object-oriented delle immagini telerilevate. La classificazione delle forme di governo si basa sulle metriche estratte dal CHM. I risultati ottenuti indicano che la media delle altezze e il coefficiente di variazione delle altezze estratti dal CHM sono utili per distinguere i boschi governati a ceduo da quelli governati a fustaia; In this study aerial laser scanning (ALS) data has been tested to classify coppice stands and high forest stands in a mixed broadleaved forest. The method is based on a canopy height model (CHM) obtained from ALS data. Forest stands have been delineated using a object-oriented approach. The polygons have been classified into coppices and high forests based on the metrics derived from CHM. Our results indicate that the mean of the heights and the coefficient of variation of the heights extracted from CHM are useful to discriminate coppices from high forests. Description: L'articolo è disponibile sul sito dell'editore www.asita.it 2011-12-31T23:00:00Z http://hdl.handle.net/2067/2349 Title: Modeling primary production using a 1 km daily meteorological data set Authors: Maselli, Fabio; Pasqui, Massimiliano; Chirici, Gherardo; Chiesi, Marta; Fibbi, Luca; Salvati, Riccardo; Corona, Piermaria Abstract: The availability of daily meteorological data extended over wide areas is a common requirement for modeling vegetation processes on regional scales. The present paper investigates the applicability of a pan-European data set of daily minimum and maximum temperatures and precipitation, E-OBS, to drive models of ecosystem processes over Italy. Daily meteorological data from a 10 yr period (2000 to 2009) were first downscaled to 1 km spatial resolution by applying locally calibrated regressions to a digital elevation model. The original and downscaled E-OBS maps were compared with meteorological data collected at 10 ground stations representative of different eco-climatic conditions. Additional tests were performed for the same sites to evaluate the effects of driving a model of vegetation processes, BIOME-BGC, with measured and estimated weather data. The tests were carried out using 10 BIOME-BGC versions characteristic for local vegetation types (Holm oak, other oaks, chestnut, beech, plain/hilly conifers, mountain conifers, Mediterranean macchia, olive trees, and C3 and C4 grasses). The experimental results indicate that the applied downscaling performs best for maximum temperatures, which is the most decisive factor for driving BIOME-BGC simulation of vegetation production. The downscaled data set is particularly suitable for the modeling of forest ecosystem processes, which could be further improved by the use of information obtained from remote sensing imagery. Description: L'articolo è disponibile sul sito dell'editore www.int-res.com. Periodo di embargo: 5 anni. 2011-12-31T23:00:00Z