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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
Keywords: Urban forest;National forest inventories;Probabilistic sampling;Monte Carlo studies;Italy
Issue Date: 2012
Publisher: Springer
Source: Corona, P. et al. 2012. Extending large-scale forest inventories to assess urban forests."Environmental Monitoring and Assessment" 184:1409–1422
Urban areas are continuously expanding
today, extending their influence on an increasingly
large proportion of woods and trees located
in or nearby urban and urbanizing areas, the socalled
urban forests. Although these forests have
the potential for significantly improving the quality
the urban environment and the well-being of
the urban population, data to quantify the extent
and characteristics of urban forests are still lacking
or fragmentary on a large scale. In this regard,
an expansion of the domain of multipurpose forest
inventories like National Forest Inventories
(NFIs) towards urban forests would be required.
To this end, it would be convenient to exploit the
same sampling scheme applied in NFIs to assess
the basic features of urban forests. This paper considers
approximately unbiased estimators of abundance
and coverage of urban forests, together with
estimators of the corresponding variances, which
can be achieved from the first phase of most largescale
forest inventories. A simulation study is carried
out in order to check the performance of the
considered estimators under various situations involving
the spatial distribution of the urban forests
over the study area. An application is worked out
on the data from the Italian NFI.
L'articolo è disponibile sul sito dell'editore
ISSN: 1573-2959
DOI: 10.1007/s10661-011-2050-6
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