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. On parametric fragmentation measures

On parametric fragmentation measures

Author(s)
Ricotta, Carlo
Corona, Piermaria
Marchetti, Marco
Chirici, Gherardo
Date Issued
2006
Type
Article
DOI
10.1007/s10342-006-0139-1
Abstract
In the landscape ecological literature, a number of measures have been proposed for quantifying landscape fragmentation based on distinct objectives and motivations. However, none seems to be generally preferred. The main reason for this disagreement is that, from a statistical viewpoint, by mapping fragmentation into a single scalar, information is necessarily lost and no ideal function is able to uniquely characterize all aspects of landscape fragmentation. A more complete summarization of fragmentation is possible if, instead of one single index, a parametric index family is applied whose members have varying sensitivities to the presence of large and small landscape patches. While traditional indices supply point descriptions of fragmentation, according to a parametric fragmentation family Ha, there is a continuum of possible fragmentation measures that differ in their sensitivity to the presence of large and small patches as a function of the scaling parameter a. Therefore, changing a allows for vector description of fragmentation. The purpose of this paper is to introduce a parametric generalization of Shannon’s entropy to summarize landscape fragmentation. A small set of artificial landscapes is used to clarify our proposal
Additional information
L'articolo è disponibile sul sito dell'editore www.springerlink.com
Citation
Ricotta, C. et al. 2006. On parametric fragmentation measures. "European Journal of Forest Research" 125 (4): 441-444.
Subjects

Fragmentation profile...

Information theory

Parametric entropy

Handle
http://hdl.handle.net/2067/2131
File(s)
Thumbnail Image
Name

ParaFrag1.pdf

Size

153.23 KB

Format

Adobe PDF

Checksum (MD5)

48016042463b7711ad28953f58b4b588

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