Open AccessFood Chain Analysis Based on Graph Centrality Indicators
Author(s) -
V. N. Kolesnikov,
В В Аникин,
E. Yu. Mosolova,
Alexey Faizliev,
С. В. Миронов,
Maria Zemlyanskaya,
М. Г. Плешаков,
Sergei Sidorov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1334/1/012004
Subject(s) - centrality , ecosystem , food chain , food web , biodiversity , environmental resource management , network analysis , computer science , ecology , geography , environmental science , biology , mathematics , physics , combinatorics , quantum mechanics
The knowledge of the structure and complexity of the food web is central for a better understanding of the ecosystem functioning. The food web analysis examines both species and energy flows among them, providing a natural basis for characterizing the ecological roles of the species and the mechanisms by which biodiversity influences the dynamics of the ecosystem. This paper, for the first time, presents the analysis of high-resolution food chain for the mixed forest ecosystem of Khvalynsky National Park.