Extending large-scale forest inventories to assess urban forests View Full Text


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Article Info

DATE

2012-03

AUTHORS

Piermaria Corona, Mariagrazia Agrimi, Federica Baffetta, Anna Barbati, Maria Vincenza Chiriacò, Lorenzo Fattorini, Enrico Pompei, Riccardo Valentini, Walter Mattioli

ABSTRACT

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 so-called 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 large-scale 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. More... »

PAGES

1409-1422

References to SciGraph publications

  • 1992. Model Assisted Survey Sampling in NONE
  • 2011-03. Estimation of small woodlot and tree row attributes in large-scale forest inventories in ENVIRONMENTAL AND ECOLOGICAL STATISTICS
  • 2006-09. A three-phase sampling strategy for large-scale multiresource forest inventories in JOURNAL OF AGRICULTURAL, BIOLOGICAL AND ENVIRONMENTAL STATISTICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10661-011-2050-6

    DOI

    http://dx.doi.org/10.1007/s10661-011-2050-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005576160

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21544506


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