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Journal of Mathematical Biology (2023) 86:31
https://doi.org/10.1007/s00285-023-01866-z
Mathematical Biology
Stoichiometry and environmental change drive dynamical
complexity and unpredictable switches in an intraguild
predation model
Juping Ji1·Russell Milne1·Hao Wang1
Received: 4 January 2022 / Revised: 17 November 2022 / Accepted: 2 January 2023 /
Published online: 13 January 2023
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023
Abstract
We incorporate stoichiometry (the balance of key elements) into an intraguild predation
(IGP) model. Theoretical and numerical results show that our system exhibits com-
plex dynamics, including chaos and multiple types of both bifurcations and bistability.
Types of bifurcation present include saddle-node, Hopf, and transcritical bifurcations,
and types of bistability present include node-node, node-cycle, and cycle-cycle bista-
bility; cycle-cycle bistability has never been observed in IGP ordinary differential
equation models. Stoichiometry can stabilize or destabilize the system via the disap-
pearance or appearance of chaos. The species represented in the model can coexist for
moderate levels of light intensity and nutrient availability. When the amount of light or
nutrients present is extremely high or low, coexistence of the species becomes impos-
sible, potentially harming biodiversity. Interestingly, stoichiometry can facilitate the
re-emergence of severely endangered species as light intensity increases. In a tem-
porally changing environment, the system can jump between different unstable states
following changes in light intensity, with the trajectory followed depending strongly
on initial conditions.
Keywords Stoichiometry ·Intraguild predation model ·Light intensity ·Nutrient
availability ·Environmental change
Mathematics Subject Classification 34C23 ·34D20 ·37G15 ·92B05
BHao Wang
hao8@ualberta.ca
1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G
2R3, Canada
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