Analysis of ontogenetic spectra of populations of plants and lichens via ordinal regression

G. Yu Sofronov, N. V. Glotov, S. M. Ivanov

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

Ontogenetic spectra of plants and lichens tend to vary across the populations. This means that if several subsamples within a sample (or a population) were collected, then the subsamples would not be homogeneous. Consequently, the statistical analysis of the aggregated data would not be correct, which could potentially lead to false biological conclusions. In order to take into account the heterogeneity of the subsamples, we propose to use ordinal regression, which is a type of generalized linear regression. In this paper, we study the populations of cowberry Vaccinium vitis-idaea L. and epiphytic lichens Hypogymnia physodes (L.) Nyl. and Pseudevernia furfuracea (L.) Zopf. We obtain estimates for the proportions of between-sample variability in the total variability of the ontogenetic spectra of the populations.

Original languageEnglish
Title of host publicationSymposium on Biomathematics, SYMOMATH 2014
Subtitle of host publicationAIP Conference Proceedings
EditorsThomas Götz, Agus Suryanto
Place of PublicationMelville, NY
PublisherAmerican Institute of Physics
Pages118-127
Number of pages10
Volume1651
ISBN (Electronic)9780735412934
DOIs
Publication statusPublished - 2015
Event2nd International Symposium on Biomathematics, SYMOMATH 2014 - Malang, East Java, Indonesia
Duration: 31 Aug 20142 Sep 2014

Other

Other2nd International Symposium on Biomathematics, SYMOMATH 2014
CountryIndonesia
CityMalang, East Java
Period31/08/142/09/14

Keywords

  • Hypogymnia physodes
  • ontogenetic spectrum of population
  • ordinal regression
  • Pseudevernia furfuracea
  • Vaccinium vitis-idaea

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