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Alharbi W, Sandhu SK, Areshi M, Alotaibi A, Alfaidi M, Al-Qadhi G, Morozov AY. Revisiting implementation of multiple natural enemies in pest management. Sci Rep 2022; 12:15023. [PMID: 36056142 PMCID: PMC9440112 DOI: 10.1038/s41598-022-18120-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
Abstract
A major goal of biological control is the reduction and/or eradication of pests using various natural enemies, in particular, via deliberate infection of the target species by parasites. To enhance the biological control, a promising strategy seems to implement a multi-enemy assemblage rather than a single control agent. Although a large body of theoretical studies exists on co-infections in epidemiology and ecology, there is still a big gap in modelling outcomes of multi-enemy biological control. Here we theoretically investigate how the efficiency of biological control of a pest depends on the number of natural enemies used. We implement a combination of eco-epidemiological modelling and the Adaptive Dynamics game theory framework. We found that a progressive addition of parasite species increases the evolutionarily stable virulence of each parasite, and thus enhances the mortality of the target pest. However, using multiple enemies may have only a marginal effect on the success of biological control, or can even be counter-productive when the number of enemies is excessive. We found the possibility of evolutionary suicide, where one or several parasite species go extinct over the course of evolution. Finally, we demonstrate an interesting scenario of coexistence of multiple parasites at the edge of extinction.
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Affiliation(s)
- Weam Alharbi
- Department of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Simran K Sandhu
- School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Mounirah Areshi
- Department of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Abeer Alotaibi
- Department of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Mohammed Alfaidi
- Department of Biology, University College of Duba, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Ghada Al-Qadhi
- Department of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Andrew Yu Morozov
- School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK.
- Laboratory of Behaviour of Lower Vertebrates, Institute of Ecology and Evolution, Moscow, 119071, Russia.
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Grunert K, Holden H, Jakobsen ER, Stenseth NC. Reply to Best and Ashby: The concept of evolutionarily stable strategies (ESS) helps link ecology and evolution. Proc Natl Acad Sci U S A 2021; 118:e2102861118. [PMID: 33853858 PMCID: PMC8106289 DOI: 10.1073/pnas.2102861118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- Katrin Grunert
- Department of Mathematical Sciences, NTNU Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
| | - Helge Holden
- Department of Mathematical Sciences, NTNU Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
| | - Espen R Jakobsen
- Department of Mathematical Sciences, NTNU Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
| | - Nils Chr Stenseth
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, NO-0316 Oslo, Norway;
- Centre for Biodiversity Dynamics, NTNU Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
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