The effects of excess food nutrient content on a tritrophic food chain model in the aquatic ecosystem.

Chaos Ecological stoichiometry Maximum Lyapunov exponent Stoichiometric knife-edge Tritrophic food chain model

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
21 04 2020
Historique:
received: 08 05 2019
revised: 28 01 2020
accepted: 31 01 2020
pubmed: 12 2 2020
medline: 22 6 2021
entrez: 12 2 2020
Statut: ppublish

Résumé

Ecological stoichiometry is an approach that focuses on the balance of energy and elements in environmental interactions, and it leads to new insights and a better understanding of ecological processes and outcomes. Modeling under this framework enables us to investigate the effects of nutrient content (i.e., food quality) on organisms, whether the imbalance involves insufficient or excess nutrient content. In this paper, we develop and analyze a tritrophic food chain model that captures the phenomenon known as the "stoichiometric knife-edge", where consumer growth is limited under conditions of excess nutrients. The model tracks two essential elements, carbon and phosphorus, in each species. The dynamics of the system such as boundedness and positivity of the solutions, existence and stability conditions of boundary and internal equilibria are analyzed. Through numerical simulations and bifurcation analyses, we observe the dynamics of the system switching between periodic oscillations and chaos. Our findings also show that nutrient-rich food consumption can cause adverse effects on species.

Identifiants

pubmed: 32044286
pii: S0022-5193(20)30039-4
doi: 10.1016/j.jtbi.2020.110183
pii:
doi:

Substances chimiques

Phosphorus 27YLU75U4W
Carbon 7440-44-0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

110183

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Lale Asik (L)

Department of Mathematics and Statistics, Texas Tech University, Lubbock, USA. Electronic address: lale.asik@ttu.edu.

Ming Chen (M)

School of Science, Dalian Maritime University, Dalian, Liaoning, China.

Angela Peace (A)

Department of Mathematics and Statistics, Texas Tech University, Lubbock, USA.

Articles similaires

Populus Soil Microbiology Soil Microbiota Fungi
Fragaria Light Plant Leaves Osmosis Stress, Physiological
India Carbon Sequestration Environmental Monitoring Carbon Biomass
Lakes Salinity Archaea Bacteria Microbiota

Classifications MeSH