Open AccessMethod of analysis of floral lists of higher plants
Author(s) -
S. I. Ryabukhin
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/547/1/012032
Subject(s) - computer science , predicate (mathematical logic) , species richness , stability (learning theory) , ecology , biology , machine learning , programming language
Quantitative methods for analyzing data on living objects are an essential tool for research and modeling the state, stability, and productivity of ecological systems. In this paper, we consider one of the approaches that is useful for quantitative analysis, namely, when the initial information about living objects (in particular, about vascular plants) is presented in the form of descriptions of floral spectra that differ in structure and content (namely, lists of plant species). The proposed approach is based on the application of first-order predicate logic and is intended for the purpose of studying the species richness of plants in ecosystems.