Coexistence and harvesting control policy in a food chain model with mutual defense of prey

• Published in: Natural resource modeling Vol. 32; no. 4
• Main Authors: Tchepmo Djomegni, Patrick M., Doungmo Goufo, Emile F., Sahu, Subrata K., Mbehou, Mohamed
• Format: Journal Article
• Language: English
• Published: Hoboken John Wiley & Sons, Inc 01.11.2019
• Subjects: Coexistence; Competition; Economics; ecosystem dynamics; food chain; Food chains; Harvesting; Hopf bifurcation; Mutualism; optimal control; Predators; predator‐prey model; Prey; Profitability; Profits; Sustainability
• ISSN: 0890-8575; 1939-7445
• DOI: 10.1111/nrm.12230

A model is proposed to understand the dynamics in a food chain (one predator‐two prey). Unlike many approaches, we consider mutualism (for defense against predators) between the two groups of prey. We investigate the conditions for coexistence and exclusion. Unlike Elettreby's (2009) results, we show that prey can coexist in the absence of predators (as expected since there is no competition between prey). We also show the existence of Hopf bifurcation and limit cycle in the model, and numerically present bifurcation diagrams in terms of mutualism and harvesting. When the harvest is practiced for profit making, we provide the threshold effort value ξ0 that determines the profitability of the harvest. We show that there is zero profit when the constant effort ξ0 is applied. Below (resp. above) ξ0, there will always be gain (resp. loss). In the case of gain, we provide the optimal effort ξ* and optimal steady states that produce maximum profit and ensure coexistence. Recommendations for resource managers As a result of our investigation, we bring the following to the attention of management: 1. In the absence of predators, different groups of prey can coexist if they mutually help each other (no competition among them). 2. There is a maximal effort ξ0 to invest in order to gain profit from the harvest. Above ξ0, the investment will result in a loss. 3. In the case of profit from harvest, policy makers should recommend the optimal effort ξ* to be applied and the optimal stock (x1*,x2*,y*) to harvest. This will guarantee maximum profit while ensuring sustainability of all species.