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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>2013-06-19T18:36:57Z</updated>
  <dc:date>2013-06-19T18:36:57Z</dc:date>
  <entry>
    <title>Evaluating the effects of environmental changes on the gross primary production of italian forests</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2133" />
    <author>
      <name>Maselli, Fabio</name>
    </author>
    <author>
      <name>Moriondo, Marco</name>
    </author>
    <author>
      <name>Chiesi, Marta</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Puletti, Nicola</name>
    </author>
    <author>
      <name>Barbati, Anna</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <id>http://hdl.handle.net/2067/2133</id>
    <updated>2011-06-14T00:30:55Z</updated>
    <published>2008-12-31T23:00:00Z</published>
    <summary type="text">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)&#xD;
has been recently constructed by the application of Modified C-Fix, a parametric model&#xD;
driven by remote sensing and ancillary data. That data-set is currently being used to develop&#xD;
multivariate regression models which link the inter-year GPP variations of five forest types&#xD;
(white fir, beech, chestnut, deciduous and evergreen oaks) to seasonal values of temperature&#xD;
and precipitation. The five models obtained, which explain from 52% to 88% of the interyear&#xD;
GPP variability, are then applied to predict the effects of expected environmental&#xD;
changes (+2 °C and increased CO2 concentration). The results show a variable response of&#xD;
forest GPP to the simulated climate change, depending on the main ecosystem features. In&#xD;
contrast, the effects of increasing CO2 concentration are always positive and similar to those&#xD;
given by a combination of the two environmental factors. These findings are analyzed with&#xD;
reference to previous studies on the subject, particularly concerning Mediterranean&#xD;
environments. The analysis confirms the plausibility of the scenarios obtained, which can&#xD;
cast light on the important issue of forest carbon pool variations under expected&#xD;
global changes.</summary>
    <dc:date>2008-12-31T23:00:00Z</dc:date>
  </entry>
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