The Analysis of ontogenetic spectrum of heterogeneous population

Nikolay V. Glotov*, Georgy Yu. Sofronov, Sergey M. Ivanov, Yulia G. Suetina, Lyudmila V. Prokopyeva, Alexey A. Teplykh

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


    The distribution of discrete ontogenetic states of individuals is usually spatially and temporally different within a population. If a sample from the population sample consists of several subsamples, the comparison of their ontogenetic spectra reveals heterogeneity of samples, i.e. different subsamples cannot be described by the same polynomial distribution. Therefore, the comparison of the samples using the aggregate data is not correct and tends to result in false inferences of biological importance. The paper proposes three methods for comparison of ontogenetic spectra of heterogeneous samples: a randomized variant of ANOVA, principal components analysis and ordinal regression analysis. The following approaches are exemplified in natural populations of cowberry Vaccinium vitis-idaea L. and epiphytic lichens Hypogymnia physodes (L.) Nyl. and Pseudevernia furfuracea (L.) Zopf.
    Original languageEnglish
    Title of host publicationBiological systems, biodiversity, and stability of plant communities
    EditorsLarissa I. Weisfeld, Anatoly I. Opalko, Nina A. Bome, Sarra A Bekuzarova
    Place of PublicationCanada
    PublisherApple Academic Press
    Number of pages19
    ISBN (Print)9781482263794
    Publication statusPublished - 2015


    Dive into the research topics of 'The Analysis of ontogenetic spectrum of heterogeneous population'. Together they form a unique fingerprint.

    Cite this