Repository logo
Log In(current)
  1. Home
  2. Unitus Open Access
  3. Dipartimento di Scienze dell'Ambiente Forestale e delle sue Risorse
  4. DiSAFRi - Archivio della produzione scientifica
  5. Extending large-scale forest inventories to assess urban forests

Extending large-scale forest inventories to assess urban forests

Author(s)
Corona, Piermaria
Agrimi, Mariagrazia
Baffetta, Federica
Barbati, Anna
Chiriacò, Maria Vincenza
more
Date Issued
2012
Type
article
DOI
10.1007/s10661-011-2050-6
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 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.
Additional information
L'articolo è disponibile sul sito dell'editore www.springer.com
Citation
Corona, P. et al. 2012. Extending large-scale forest inventories to assess urban forests."Environmental Monitoring and Assessment" 184:1409–1422
Subjects

Urban forest

National forest inven...

Probabilistic samplin...

Monte Carlo studies

Italy

Handle
http://hdl.handle.net/2067/2316
File(s)
Thumbnail Image
Name

EMAS urban forest_1.pdf

Size

120.9 KB

Format

Adobe PDF

Checksum (MD5)

aece207721e573038bb6853147b3e6f9

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify