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  <channel rdf:about="http://hdl.handle.net/2067/1318">
    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2067/1318</link>
    <description />
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        <rdf:li rdf:resource="http://hdl.handle.net/2067/2349" />
        <rdf:li rdf:resource="http://hdl.handle.net/2067/2348" />
        <rdf:li rdf:resource="http://hdl.handle.net/2067/2347" />
        <rdf:li rdf:resource="http://hdl.handle.net/2067/2346" />
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    <dc:date>2013-05-20T18:29:30Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/2067/2349">
    <title>Modeling primary production using a 1 km daily meteorological data set</title>
    <link>http://hdl.handle.net/2067/2349</link>
    <description>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.</description>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2067/2348">
    <title>Landscape-wildfire interactions in southern Europe: implications for landscape management</title>
    <link>http://hdl.handle.net/2067/2348</link>
    <description>Title: Landscape-wildfire interactions in southern Europe: implications for landscape management
Authors: Moreira, Francisco; Viedma, Olga; Arianoutsou, Margarita; Curt, Thomas; Koutsias, Nikos; Rigolot, Eric; Barbati, Anna; Corona, Piermaria; Vaz, Pedro; Xanthopoulos, Gavriil; Mouillot, Florent; Bilgili, Ertugrul
Abstract: Every year approximately half a million hectares of land are burned by wildfires in southern Europe,&#xD;
causing large ecological and socio-economic impacts. Climate and land use changes in the last decades&#xD;
have increased fire risk and danger. In this paper we review the available scientific knowledge on the&#xD;
relationships between landscape and wildfires in the Mediterranean region, with a focus on its&#xD;
application for defining landscape management guidelines and policies that could be adopted in order&#xD;
to promote landscapes with lower fire hazard. The main findings are that (1) socio-economic drivers&#xD;
have favoured land cover changes contributing to increasing fire hazard in the last decades, (2) large&#xD;
wildfires are becoming more frequent, (3) increased fire frequency is promoting homogeneous landscapes&#xD;
covered by fire-prone shrublands; (4) landscape planning to reduce fuel loads may be successful&#xD;
only if fire weather conditions are not extreme. The challenges to address these problems and the&#xD;
policy and landscape management responses that should be adopted are discussed, along with major&#xD;
knowledge gaps.
Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com</description>
    <dc:date>2010-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2067/2347">
    <title>Contribution of large-scale forest inventories to biodiversity assessment and monitoring</title>
    <link>http://hdl.handle.net/2067/2347</link>
    <description>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&#xD;
conservation and natural resources management. Mandated periodic surveys provide unique opportunities&#xD;
to identify and satisfy natural resources management information needs. However, this is not an&#xD;
end in itself but rather is the beginning of a process that should lead to sound decision-making in biodiversity&#xD;
conservation. Forest inventories are currently evolving towards multipurpose resource surveys&#xD;
and are broadening their scope in several directions: (i) expansion of the target population to include&#xD;
non-traditional attributes such as trees outside the forest and urban forests; (ii) forest carbon pools&#xD;
and carbon sequestration estimation; (iii) assessment of forest health; and (iv) inclusion of additional&#xD;
variables such as biodiversity attributes that are not directly related to timber assessment and wood harvesting.&#xD;
There is an on-going debate regarding the role of forest inventories in biodiversity assessment and&#xD;
monitoring. This paper presents a review on the topic that aims at providing updated knowledge on&#xD;
the current contribution of forest inventories to the assessment and monitoring of forest biodiversity&#xD;
conditions on a large scale. Specific objectives are fourfold: (i) to highlight the types of forest biodiversity&#xD;
indicators that can be estimated from data collected in the framework of standard forest inventories and&#xD;
the implications of different sampling methods on the estimation of the indicators; (ii) to outline current&#xD;
possibilities for harmonized estimation of biodiversity indicators in Europe from National Forest Inventory&#xD;
data; (iii) to show the added value for forest biodiversity monitoring of framing biodiversity indicators&#xD;
into ecologically meaningful forest type units; and (iv) to examine the potential of forest inventory&#xD;
sample data for estimating landscape biodiversity metrics
Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com</description>
    <dc:date>2010-12-31T23:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/2067/2346">
    <title>Land use inventory as framework for environmental accounting: an application in Italy</title>
    <link>http://hdl.handle.net/2067/2346</link>
    <description>Title: Land use inventory as framework for environmental accounting: an application in Italy
Authors: Corona, Piermaria; Barbati, Anna; Tomao, Antonio; Bertani, Remo; Valentini, Riccardo; Marchetti, Marco; Fattorini, Lorenzo; Perugini, Lucia
Abstract: Land use inventories are sound measures to provide information on the area&#xD;
occupied by different land use or land cover types and their changes, although&#xD;
less widespread than traditional mapping; as such, they are distinctively wellestablished&#xD;
tools for generating statistics on the state and the dynamics of land&#xD;
use in the European Union. Italy has recently set up a land use inventory system&#xD;
(IUTI) as a key instrument for accounting removals and emissions of greenhouse&#xD;
gases (GHG) associated to land use, land use change and forestry (LULUCF)&#xD;
activities elected by Italy under the Kyoto Protocol. IUTI adopts a statistical&#xD;
sampling procedure to estimate the area covered by LULUCF land use&#xD;
categories in Italy, and associated uncertainty estimates. Estimates of land use&#xD;
have been so far processed for the period 1990-2008 and highlight three interlinked&#xD;
land use change patterns in Italy: (i) increase in forest land for a total&#xD;
uptake of 1.7% of the Italian territory; forest cover estimates, with a standard&#xD;
error of 0.1%, indicate an annual increase of forestland higher over the period&#xD;
1990-2000 (32 901 ha year-1) than in 2000-2008 (22 857 ha year-1); surprisingly,&#xD;
also a significant deforestation rate is observed (-7000 ha year-1), due to&#xD;
forest land conversion mainly into artificial areas; (ii) consumption of arable&#xD;
land (-4.2% of the Italian territory) primarily due to land uptake by urban areas&#xD;
and to conversions to permanent crops (mainly orchards and vineyards); (iii)&#xD;
urban sprawl uptakes 1.6% of the Italian territory in this period, with a total&#xD;
coverage of settlements reaching 7.1% of total land surface in Italy in 2008.&#xD;
Overall, land use dynamic results in land uptake by forest land is of the same&#xD;
magnitude of land uptake by urban areas, but the effects of these processes on&#xD;
GHG removals (by forest sinks) and emissions (by urban areas) is expected to&#xD;
be significantly different. In a broader perspective, IUTI methodology, by&#xD;
providing reliable estimates and well-defined levels of statistical uncertainty&#xD;
for assessing stocks and flows of land use at national level, can be further implemented&#xD;
to frame other key questions for sustainable development policies,&#xD;
like the set up of environmental-economic accounting systems.
Description: L'articolo è disponibile sul sito dell'editore www.sisef.it</description>
    <dc:date>2011-12-31T23:00:00Z</dc:date>
  </item>
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