<?xml version="1.0" encoding="UTF-8"?>
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  <title>Unitus DSpace</title>
  <link rel="alternate" href="http://http://dspace.unitus.it:80" />
  <subtitle>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
  <id>http://http://dspace.unitus.it:80</id>
  <updated>2013-05-20T13:19:18Z</updated>
  <dc:date>2013-05-20T13:19:18Z</dc:date>
  <entry>
    <title>Modello di valutazione degli ambiti territoriali potenzialmente idonei all’arboricoltura da legno con finalità energetiche</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/1228" />
    <author>
      <name>Salvati, Riccardo</name>
    </author>
    <id>http://hdl.handle.net/2067/1228</id>
    <updated>2011-02-25T01:31:10Z</updated>
    <published>2009-02-09T23:00:00Z</published>
    <summary type="text">Title: Modello di valutazione degli ambiti territoriali potenzialmente idonei all’arboricoltura da legno con finalità energetiche
Authors: Salvati, Riccardo
Abstract: Le piantagioni governate a ceduo a turno breve (short rotation forestry – SRF) rappresentano il&#xD;
modello di arboricoltura da legno maggiormente idoneo alla produzione di biomassa&#xD;
lignocellulosica da destinare a usi energetici. Si tratta di impianti di specie arboree caratterizzati da&#xD;
un’elevata densità di impianto, variabile circa da 2000 a 15000 alberi ha-1, da una notevole intensità&#xD;
colturale e da cicli produttivi di durata variabile da 1 a 5 anni.&#xD;
La limitata disponibilità di risorse e la rete sempre più complessa di relazioni che coinvolgono l’uso&#xD;
del territorio pongono l’esigenza di un’attenta programmazione territoriale di questo tipo di&#xD;
interventi. Gli obiettivi di questo studio sono stati volti a: i) descrivere e caratterizzare i diversi&#xD;
moduli SRF, in termini di specie e tecniche colturali idonee per la produzione di biomassa; ii)&#xD;
descrivere l’attuale scenario produttivo potenziale delle colture SRF a scala nazionale; iii)&#xD;
sviluppare un modello innovativo di classificazione del territorio volto a delineare, da un punto di&#xD;
vista dei requisiti ambientali, le unità territoriali maggiormente vocate; iv) stimare la quantità di&#xD;
biomassa potenzialmente detraibile dalla realizzazione di impianti di cedui da biomassa a fini&#xD;
energetici.&#xD;
In questi ultimi anni sono stati messi a punto tecniche colturali ad hoc da impiegare in funzione&#xD;
delle caratteristiche pedo-climatiche e degli obiettivi produttivi. Il modello di valutazione qui&#xD;
elaborato si riferisce alla metodologia generale della land suitability/land capability, implementato&#xD;
tramite analisi multicriteriale con logica sfocata fuzzy in ambiente GIS. Nel complesso, gli ambiti&#xD;
territoriali idonei e marginalmente idonei per colture SRF in Italia risultano, rispettivamente, pari a&#xD;
circa 1098551 ha e 4277164 ha. II modello di valutazione costituisce un utile strumento informativo&#xD;
a disposizione e supporto dei soggetti responsabili della programmazione agricolo-forestale e della&#xD;
pianificazione del territorio rurale.; Short rotation forestry (SRF) systems imply the use of fast growing hardwoods, with high planting&#xD;
density (2000-15000 trees for hectar) and harvesting cycle beetween 1 to 5 years. Limited financial&#xD;
resources and the complex network of socio-economical and ecological constraints which affect&#xD;
land uses in Italy require a careful selection of farmland areas where short rotation forestry can be&#xD;
fostered and, hence, the adoption of adequate planning tools.&#xD;
The aims of this study were: i) to illustrate SRF models, in terms of species and tending techniques&#xD;
for producing biomass; ii) to describe the features of land physical suitability for this kind of&#xD;
plantations; iii) to develop a spatial model for assessing the physical suitability of the Italian&#xD;
territory to grow short rotation coppice plantations for energy biomass production; iv) to estimate&#xD;
wood energy biomass omount from SRF plantations.&#xD;
The model is based on a land suitability/land capability approach implemented within a GIS-based&#xD;
fuzzy MultiCriteria Evaluation process. Results show that in Italy suitable farmland for short&#xD;
rotation coppice plantations amounts to 1098551 ha and marginally suitable farmland to 4277164&#xD;
ha. The model outcome in form of digital maps can be exploited as a decision support tool by the&#xD;
agricultural and forest managers and rural planning decision makers.
Description: Dottorato di ricerca in Ecologia forestale</summary>
    <dc:date>2009-02-09T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Proposta metodologica per l'inventario su vasta scala fuori foresta.</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/1905" />
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Chiriacò, Maria Vincenza</name>
    </author>
    <author>
      <name>Ferrari, Barbara</name>
    </author>
    <author>
      <name>Salvati, Riccardo</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <author>
      <name>Lasserre, Bruno</name>
    </author>
    <id>http://hdl.handle.net/2067/1905</id>
    <updated>2011-04-12T00:30:23Z</updated>
    <published>2008-12-31T23:00:00Z</published>
    <summary type="text">Title: Proposta metodologica per l'inventario su vasta scala fuori foresta.
Authors: Corona, Piermaria; Chiriacò, Maria Vincenza; Ferrari, Barbara; Salvati, Riccardo; Marchetti, Marco; Lasserre, Bruno
Abstract: Methodological proposal for large-scale inventory of trees outside forests Trees outside forests (TOF) are all those forest trees or group of trees scattered within rural and urbanized areas and not classified under forest. The importance of TOF is known as a source of energy for domestic use, soil and wind protection, biodiversity conservation, atmospheric CO2 sequestration, etc. The aim of this note is to outline a survey methodology to assess TOF on large territories, exploiting the first phase of the large-scale multiphase forest inventories. The protocol was tested in various landscapes in Italy, for a total inventoried land of 3533 km2. In the test areas TOF proved to stock 12,1 Mg C km-2, on average.</summary>
    <dc:date>2008-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Stima dei flussi di carbonio degli ecosistemi forestali italiani attraverso dati telerilevati ed ancillari</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2294" />
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Chiesi, Marta</name>
    </author>
    <author>
      <name>Pasqui, Massimiliano</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Salvati, Riccardo</name>
    </author>
    <author>
      <name>Barbati, Anna</name>
    </author>
    <author>
      <name>Lombardi, Fabio</name>
    </author>
    <author>
      <name>Maselli, Fabio</name>
    </author>
    <id>http://hdl.handle.net/2067/2294</id>
    <updated>2012-08-01T07:42:46Z</updated>
    <published>2010-12-31T23:00:00Z</published>
    <summary type="text">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&#xD;
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&#xD;
C_FORSAT finanziato dal MIUR fino al 2013.&#xD;
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&#xD;
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&#xD;
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&#xD;
di dati tele rilevati.&#xD;
A questo scopo il modello bio-geochimico BIOME-BGC opportunamente calibrato e validato per le&#xD;
principali classi forestali italiane appare particolarmente utile. L’utilizzo del modello in forma&#xD;
spazializzata su base nazionale richiede però la disponibilità di una vasta disponibilità di strati&#xD;
informativi. Tra questi i dati meteorologici giornalieri sono particolarmente critici, in quanto non&#xD;
risultano ancora disponibili sul territorio nazionale. Il contributo richiama brevemente la&#xD;
metodologia utilizzata nel progetto e si sofferma in particolare sull’approccio individuato per la&#xD;
generazione della banca dati meteo spazializzata ed il suo utilizzo per simulare il comportamento&#xD;
della macchia mediterranea.; Forests play an important role within numerous bio-geo-chemical cycles among which those of&#xD;
nitrogen and carbon. In particular, forests can behave as carbon sink by removing CO2 from the&#xD;
atmosphere. For this reason, and in view of global climate changes, it is important to quantify the&#xD;
amount of carbon stocked within Italian forest ecosystems. This is the objective of the FIRB project&#xD;
C_FORSAT financed by MIUR up to 2013.&#xD;
Among the available methodologies (eddy-covariance, remote sensing and bio-geo-chemical&#xD;
models), those based on the combined use of ecosystem simulation model and remotely sensed data&#xD;
are the most promising. They in fact enable to estimate all ecosystem processes (GPP, NPP and&#xD;
NEE) based on the knowledge of the species and the environment in which these live. Moreover,&#xD;
they offer the possibility to obtain spatial information with a high temporal frequency.&#xD;
The model BIOME-BGC is particularly useful to this aim after proper calibration and validation for&#xD;
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&#xD;
the main methodological steps and focuses on the creation of a daily meteorological database,&#xD;
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</summary>
    <dc:date>2010-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Use of BIOME-BGC to simulate water and carbon fluxes within Mediterranean macchia</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2308" />
    <author>
      <name>Chiesi, Marta</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Duce, Pierpaolo</name>
    </author>
    <author>
      <name>Salvati, Riccardo</name>
    </author>
    <author>
      <name>Spano, Donatella</name>
    </author>
    <author>
      <name>Vaccari, Francesco</name>
    </author>
    <author>
      <name>Maselli, Fabio</name>
    </author>
    <id>http://hdl.handle.net/2067/2308</id>
    <updated>2012-07-26T23:05:46Z</updated>
    <published>2011-12-31T23:00:00Z</published>
    <summary type="text">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&#xD;
processes characterising all terrestrial ecosystems. To this aim it&#xD;
needs to be properly adapted to reproduce the behaviour of each biome type&#xD;
through a calibration phase. The aim of this paper is to adapt BIOME-BGC to reproduce&#xD;
the evapotranspiration (ET) and photosynthesis (GPP) of Mediterranean&#xD;
macchia spread all over Italy. Ten different sites were selected in the&#xD;
Centre-South of Italy and their gross primary production (GPP) was estimated&#xD;
by applying a parametric model, C-Fix, based on remotely sensed data for ten&#xD;
years (1999-2008). These monthly data were then used to calibrate BIOME-BGC&#xD;
through an iterative process which led to reproduce the spatial and temporal&#xD;
GPP variations found by C-Fix. The calibrated model was then applied to simulate&#xD;
the ET and GPP of two Italian sites characterised by the presence of an&#xD;
eddy flux tower; its performances were evaluated against ground data by common&#xD;
statistics. The results obtained indicate that, after a proper calibration&#xD;
phase, BIOME-BGC can be applied to estimate the evapotranspiration and photosynthesis&#xD;
of Mediterranean macchia with a good accuracy, strictly dependent&#xD;
on the input data utilised.
Description: L'articolo è disponibile sul sito dell'editore www.sisef.it</summary>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in Italy</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2307" />
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Cartisano, Rosaria</name>
    </author>
    <author>
      <name>Salvati, Riccardo</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Floris, Antonio</name>
    </author>
    <author>
      <name>Di Martino, Paolo</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <author>
      <name>Scrinzi, Gianfranco</name>
    </author>
    <author>
      <name>Clementel, Fabrizio</name>
    </author>
    <author>
      <name>Torresan, Chiara</name>
    </author>
    <id>http://hdl.handle.net/2067/2307</id>
    <updated>2012-07-26T06:53:39Z</updated>
    <published>2011-12-31T23:00:00Z</published>
    <summary type="text">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.</summary>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Modeling primary production using a 1 km daily meteorological data set</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2349" />
    <author>
      <name>Maselli, Fabio</name>
    </author>
    <author>
      <name>Pasqui, Massimiliano</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Chiesi, Marta</name>
    </author>
    <author>
      <name>Fibbi, Luca</name>
    </author>
    <author>
      <name>Salvati, Riccardo</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <id>http://hdl.handle.net/2067/2349</id>
    <updated>2013-03-01T00:05:48Z</updated>
    <published>2011-12-31T23:00:00Z</published>
    <summary type="text">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&#xD;
requirement for modeling vegetation processes on regional scales. The present paper investigates&#xD;
the applicability of a pan-European data set of daily minimum and maximum temperatures and&#xD;
precipitation, E-OBS, to drive models of ecosystem processes over Italy. Daily meteorological data&#xD;
from a 10 yr period (2000 to 2009) were first downscaled to 1 km spatial resolution by applying&#xD;
locally calibrated regressions to a digital elevation model. The original and downscaled E-OBS&#xD;
maps were compared with meteorological data collected at 10 ground stations representative of&#xD;
different eco-climatic conditions. Additional tests were performed for the same sites to evaluate&#xD;
the effects of driving a model of vegetation processes, BIOME-BGC, with measured and estimated&#xD;
weather data. The tests were carried out using 10 BIOME-BGC versions characteristic for local&#xD;
vegetation types (Holm oak, other oaks, chestnut, beech, plain/hilly conifers, mountain conifers,&#xD;
Mediterranean macchia, olive trees, and C3 and C4 grasses). The experimental results indicate&#xD;
that the applied downscaling performs best for maximum temperatures, which is the most decisive&#xD;
factor for driving BIOME-BGC simulation of vegetation production. The downscaled data set is&#xD;
particularly suitable for the modeling of forest ecosystem processes, which could be further&#xD;
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.</summary>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </entry>
</feed>

