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    <pubDate>Sat, 18 May 2013 11:41:54 GMT</pubDate>
    <dc:date>2013-05-18T11:41:54Z</dc:date>
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      <title>Extending large-scale forest inventories to assess urban forests</title>
      <link>http://hdl.handle.net/2067/2316</link>
      <description>Title: Extending large-scale forest inventories to assess urban forests
Authors: Corona, Piermaria; Agrimi, Mariagrazia; Baffetta, Federica; Barbati, Anna; Chiriacò, Maria Vincenza; Fattorini, Lorenzo; Pompei, Enrico; Valentini, Riccardo; Mattioli, Walter
Abstract: Urban areas are continuously expanding&#xD;
today, extending their influence on an increasingly&#xD;
large proportion of woods and trees located&#xD;
in or nearby urban and urbanizing areas, the socalled&#xD;
urban forests. Although these forests have&#xD;
the potential for significantly improving the quality&#xD;
the urban environment and the well-being of&#xD;
the urban population, data to quantify the extent&#xD;
and characteristics of urban forests are still lacking&#xD;
or fragmentary on a large scale. In this regard,&#xD;
an expansion of the domain of multipurpose forest&#xD;
inventories like National Forest Inventories&#xD;
(NFIs) towards urban forests would be required.&#xD;
To this end, it would be convenient to exploit the&#xD;
same sampling scheme applied in NFIs to assess&#xD;
the basic features of urban forests. This paper considers&#xD;
approximately unbiased estimators of abundance&#xD;
and coverage of urban forests, together with&#xD;
estimators of the corresponding variances, which&#xD;
can be achieved from the first phase of most largescale&#xD;
forest inventories. A simulation study is carried&#xD;
out in order to check the performance of the&#xD;
considered estimators under various situations involving&#xD;
the spatial distribution of the urban forests&#xD;
over the study area. An application is worked out&#xD;
on the data from the Italian NFI.
Description: L'articolo è disponibile sul sito dell'editore www.springer.com</description>
      <pubDate>Sat, 31 Dec 2011 23:00:00 GMT</pubDate>
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      <dc:date>2011-12-31T23:00:00Z</dc:date>
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