A Three Species Food Chain Model with Fear Induced Trophic Cascade

In ecology, predator–prey interaction is one of the most important factors. The effects of predators on prey population can be direct and deadly, or it may be indirect and non-consumptive. Recent experimental findings have explored that fear of predator (indirect effect) alone can change prey’s behavior including reproduction and foraging. Suraci et al. (Nature Communications, 7, 10698, 2016) experimentally showed that fear of large carnivore reduces mesocarnivore foraging, which benefits the mesocarnivore’s prey. They also showed that fear of large carnivore mediates a cascading effect in lower trophic level. In the present study, our aim is to observe how the cascading effects of fear in a tri-trophic food chain model influence the dynamics of the model. We propose a three-species food chain model incorporating the cost of fear into the predation rate of middle predator. We consider the fact that due to fear of the top predator, middle predator forage less. As a result, the predation rate of middle predator decreases which reduces the predation pressure on basal prey. Mathematical properties such as boundedness, persistence, equilibria analysis, local and global stability analysis of the model are investigated. We perform bifurcation analysis around interior equilibrium point of the system. We notice that cost of the fear in middle predator can stabilize an otherwise chaotic system. We also investigate the robustness of the stabilizing role of the fear parameter. We observe that system initiating from the different dynamical regime, fear ultimately drives the system towards stability. It is also found that for increasing the level of fear, the system enters into a stable state through multiple switching of dynamics. Our results suggest that cost of the fear in middle predator can stabilize the system and enhances persistence of the system. We illustrate our analytical results numerically. Finally our results qualitatively reflect the experimental findings of Suraci et al.

[1]  Robert H. Martin Logarithmic norms and projections applied to linear differential systems , 1974 .

[2]  Joel s. Brown,et al.  ASSESSING EFFECTS OF PREDATION RISK ON FORAGING BEHAVIOR OF MULE DEER , 2001 .

[3]  Xingfu Zou,et al.  Modeling the Fear Effect in Predator–Prey Interactions with Adaptive Avoidance of Predators , 2017, Bulletin of mathematical biology.

[4]  James S. Muldowney,et al.  A Geometric Approach to Global-Stability Problems , 1996 .

[5]  Willy Govaerts,et al.  MATCONT: A MATLAB package for numerical bifurcation analysis of ODEs , 2003, TOMS.

[6]  G. Samanta,et al.  Modeling the fear effect on a stochastic prey–predator system with additional food for the predator , 2018, Journal of Physics A: Mathematical and Theoretical.

[7]  S. L. Lima Predators and the breeding bird: behavioral and reproductive flexibility under the risk of predation , 2009, Biological reviews of the Cambridge Philosophical Society.

[8]  Lawrence M. Dill,et al.  Living on the edge: dugongs prefer to forage in microhabitats that allow escape from rather than avoidance of predators , 2007, Animal Behaviour.

[9]  Joel s. Brown,et al.  The Ecology of Fear: Optimal Foraging, Game Theory, and Trophic Interactions , 1999 .

[10]  V. Hutson,et al.  Permanent coexistence in general models of three interacting species , 1985, Journal of mathematical biology.

[11]  W. Ripple,et al.  Wolves and the Ecology of Fear: Can Predation Risk Structure Ecosystems? , 2004 .

[12]  P. Abrams Life History and the Relationship Between Food Availability and Foraging Effort , 1991 .

[13]  Michael Y. Li,et al.  A Criterion for Stability of Matrices , 1998 .

[14]  Ulrika Candolin,et al.  Reproduction under predation risk and the trade–off between current and future reproduction in the threespine stickleback , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[15]  J. P. Lasalle The stability of dynamical systems , 1976 .

[16]  S. Creel,et al.  Relationships between direct predation and risk effects. , 2008, Trends in ecology & evolution.

[17]  A. Hastings,et al.  Chaos in a Three-Species Food Chain , 1991 .

[18]  M. Milinski,et al.  Influence of a predator on the optimal foraging behaviour of sticklebacks (Gasterosteus aculeatus L.) , 1978, Nature.

[19]  Robert J. Fletcher,et al.  Increased perception of predation risk to adults and offspring alters avian reproductive strategy and performance , 2014 .

[20]  Justin P Suraci,et al.  Fear of large carnivores causes a trophic cascade , 2016, Nature Communications.

[21]  Ranjit Kumar Upadhyay,et al.  Population dynamic consequences of fearful prey in a spatiotemporal predator-prey system. , 2018, Mathematical biosciences and engineering : MBE.

[22]  J. Laundré,et al.  Wolves, elk, and bison: reestablishing the "landscape of fear" in Yellowstone National Park, U.S.A. , 2001 .

[23]  Nikhil Pal,et al.  Stability and Bifurcation Analysis of a Three-Species Food Chain Model with Fear , 2015, Int. J. Bifurc. Chaos.

[24]  Xingfu Zou,et al.  Modelling the fear effect in predator–prey interactions , 2016, Journal of mathematical biology.

[25]  Daniel I. Bolnick,et al.  The Many Faces of Fear: Comparing the Pathways and Impacts of Nonconsumptive Predator Effects on Prey Populations , 2008, PloS one.

[26]  J. Krebs,et al.  An introduction to behavioural ecology , 1981 .

[27]  S. L. Lima,et al.  Behavioral decisions made under the risk of predation: a review and prospectus , 1990 .

[28]  Sourav Kumar Sasmal,et al.  Population dynamics with multiple Allee effects induced by fear factors – A mathematical study on prey-predator interactions , 2018, Applied Mathematical Modelling.

[29]  L. Zanette,et al.  Perceived Predation Risk Reduces the Number of Offspring Songbirds Produce per Year , 2011, Science.

[30]  F. V. Vleck,et al.  Stability and Asymptotic Behavior of Differential Equations , 1965 .

[31]  M. Washburn,et al.  Bodily Changes in Pain, Hunger, Fear, and Rage. , 1917 .

[32]  Horst R. Thieme,et al.  Mathematics in Population Biology , 2003 .

[33]  A Sih,et al.  Optimal behavior: can foragers balance two conflicting demands? , 1980, Science.

[34]  B. Hassard,et al.  Theory and applications of Hopf bifurcation , 1981 .

[35]  C. Barnard,et al.  Flock feeding and time budgets in the house sparrow (Passer domesticus L.) , 1980, Animal Behaviour.

[36]  Costs of predator-induced phenotypic plasticity: a graphical model for predicting the contribution of nonconsumptive and consumptive effects of predators on prey , 2012, Oecologia.

[37]  Alan Hastings,et al.  Chaos in three species food chains , 1994 .

[38]  Oswald J. Schmitz,et al.  Behaviorally mediated trophic cascades : Effects of predation risk on food web interactions , 1997 .

[39]  V. Křivan The Lotka‐Volterra Predator‐Prey Model with Foraging–Predation Risk Trade‐Offs , 2007, The American Naturalist.

[40]  Andrew Sih,et al.  Foraging Strategies and the Avoidance of Predation by an Aquatic Insect, Notonecta Hoffmanni , 1982 .

[41]  S. Peacor,et al.  Large nonlethal effects of an invasive invertebrate predator on zooplankton population growth rate. , 2007, Ecology.

[42]  Lansun Chen,et al.  Modeling and analysis of a predator-prey model with disease in the prey. , 2001, Mathematical biosciences.

[43]  D. Bolnick,et al.  SCARED TO DEATH? THE EFFECTS OF INTIMIDATION AND CONSUMPTION IN PREDATOR–PREY INTERACTIONS , 2005 .

[44]  S. Creel,et al.  Predation Risk Affects Reproductive Physiology and Demography of Elk , 2007, Science.

[45]  W. Cresswell Predation in bird populations , 2011, Journal of Ornithology.