Preferential cannibalism as a key stabilizing mechanism of intraguild predation systems with trophic polymorphic predators
Data files
Jan 29, 2024 version files 83.70 KB
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README.md
1.97 KB
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Simulations.nb
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Abstract
Theory predicts intraguild predation (IGP) to be unstable despite its ubiquity in nature, prompting exploration of stabilizing mechanisms of IGP. One of the many ways IGP manifests is through inducible trophic polymorphisms in the intraguild (IG) predator, where a resource-eating predator morph competes with the intraguild (IG) prey for the shared resource while a top predator morph consumes the IG prey. Cannibalism is common in this type of system due to the top predator morph’s specialization on the trophic level below it, which includes the resource-eating predator morph. Here, we explore the consequences of inducible trophic polymorphisms in cannibal predators for IGP stability using an IGP model with and without cannibalism. We employ linear stability analysis and identify regions of coexistence based on the top predator morph's preference for conspecifics vs. heterospecifics and the IG prey's competitive ability relative to the resource-eating morph. Our findings reveal preferential cannibalism (i.e. the preferential consumption of conspecifics) stabilizes the system when the IG prey and resource-eating morph have similar competitive abilities for the shared resource. Though original IGP theory finds the IG prey must be a superior resource competitor as a general criterion for coexistence, this is not typically the case when the predator has an inducible trophic polymorphism and the resource-eating morph is specialized in resource acquisition. Preferential cannibalism may therefore be a key stabilizing mechanism in IGP systems with a cannibalistic, trophic polymorphic IG predators, providing further insight into what general mechanisms stabilize the pervasive IGP interaction.
Status of MS: Published in Theoretical Ecology (https://doi.org/10.1007/s12080-024-00575-7)
Authors: Clara A. Woodie and Kurt E. Anderson
Structure of Code
- “Simulations.nb” provides code for manipulating multiple parameters and observing the effect on density (for base model and full model, both Type I and Type II)
- “Equilibrium TypeI Full Model.nb” solves for equilibrium across multiple parameter ranges, finds instances of bistability, and makes plots for the Type I Full Model
- “Equilibrium TypeI Base Model.nb” solves for equilibrium across multiple parameter ranges, finds instances of bistability, and makes plots for the Type I Base Model
- “Equilibrium TypeII Full Model.nb” solves for equilibrium across multiple parameter ranges, finds instances of bistability, and makes plots for the Type II Full Model
- “Equilibrium TypeII Base Model.nb” solves for equilibrium across multiple parameter ranges, finds instances of bistability, and makes plots for the Type II Base Model
- “Bifurcations.R” makes bifurcation diagrams for the Type II Full Model
Methods
Figure 1: Visualization of Models
Results
Fig 2: Ratio of prey to predator competitive superiority across preference parameter
Fig 3: IG predation rate across carrying capacity
Fig 4: IG predation rate across conversion efficiency
Fig. 5: IG predation rate across cannibalism predation rate
Table 1: Parameters used in analysis
(Table1.pdf)
Supplemental
Fig S1: Simulations within the three regions of Fig2
Fig S2: Equilibrium across carrying capacity
Fig S3: Sensitivity to switching rates
Fig S4: IG predation rate across carrying capacity for Type II full model
Fig S5: Bifurcation diagram across preference parameter
Fig S6: Bifurcation diagram across carrying capacity
Model(s) overview: To examine the effect of preferential cannibalism in a trophic polymorphic predator on IGP system stability, we compared two models of varying complexity (Fig. 1) under two scenarios pertaining to IG prey competitive ability. The first model (referred to herein as the “base” model) is an extension of the original Lotka-Volterra IGP model first proposed by Holt and Polis (1997) with the separation of the IG predator into two states: a resource-eating morph that competes with the IG prey for the shared resource, and a top predator morph that consumes the IG prey. Biomass moves from one state to the other as a function of resource density, which is intentionally general to encompass changes in frequency of morphs across generations or individuals switching between morphs in a lifetime. In the second model (referred to herein as the “full” model), we build upon the first model to include cannibalism in the IG predator, where the top predator morph consumes both the IG prey and the resource-eating predator morph. We further include a preference parameter, s, that controls the top predator morph’s preference for conspecifics (resource-eating predator morph) or heterospecifics (IG prey). We explore preference over a range of s values, specifically three values of s which represent preference for conspecifics (s=0.7), preference for heterospecifics (s=0.3), and no preference (s=0.5).
Analysis: We explored stability in our models using linear stability analysis (Gurney and Nisbet 1998; Murdoch et al. 2003; See SI 1). In short, we linearized eqs. 1 and 2 around their interior equilibrium, and then examined the stability of these systems to small perturbations. We first solved for the equilibrium in which all species have positive, non-zero abundances using the “Solve” function in Mathematica (Wolfram Research, Inc., Mathematica, Version 12.0, Champaign, IL, 2019). We then evaluated the Jacobian matrix at this solution and numerically computed the eigenvalues using the “Eigenvalues” function, selecting the eigenvalue(s) in which the real part is negative and therefore stable. We further performed numerical simulations to show the effects of preference and competitive superiority on dynamics and equilibrium densities in SI 2. Dynamics were simulated in the R programming language (R Core Team 2023) using the package “deSolve.”