Statistical detection of spatial plant patterns under the effect of forest use

I. López, T. Standovár, J. Garay, Z. Varga, M. Gámez

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The analysis of the consequences of land use (in particular forest use) may be considered as a partial step towards an integrated modeling of a land system. In the paper a forest territory is considered, where a gap-cut is made, and after a given time period the eventual change in the spatial distribution of undergrowth plants and tree seedlings is to be detected. Floristic data are collected along a line transect. A method for the detection of the change in the plant distributions along the transect is proposed to see whether this occurs at the geometric frontier of the human intervention. Since in the considered case the distribution of the change-point estimate is not known, as a substitute of its confidence interval, the so-called change-interval is calculated, using an adaptation of the bootstrap method. As an illustration, for a concrete plant species, the maximum likelihood estimation of the change-point and the calculation of the above mentioned change-interval is presented. Finally, the validation of the proposed method against some typical ecological situations is also presented, which provides a justification of the used algorithms.

Original languageEnglish
Article number1250054
JournalInternational Journal of Biomathematics
Volume5
Issue number6
DOIs
Publication statusPublished - Nov 2012

Fingerprint

Maximum likelihood estimation
Change Point
Land use
Spatial distribution
Concretes
Integrated Modeling
Interval
Point Estimate
Bootstrap Method
Land Use
Substitute
Spatial Distribution
Maximum Likelihood Estimation
Justification
Confidence interval
Partial
Line
Human

Keywords

  • bootstrap
  • change-interval
  • change-point
  • edge detection
  • forest gap
  • Forest use
  • plant patches

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation

Cite this

Statistical detection of spatial plant patterns under the effect of forest use. / López, I.; Standovár, T.; Garay, J.; Varga, Z.; Gámez, M.

In: International Journal of Biomathematics, Vol. 5, No. 6, 1250054, 11.2012.

Research output: Contribution to journalArticle

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