Evidence map›Paper›PMID 36056142›Full record

ArticleScientific reports2022

Revisiting implementation of multiple natural enemies in pest management.

Weam Alharbi, Simran K Sandhu, Mounirah Areshi, Abeer Alotaibi, Mohammed Alfaidi, Ghada Al-Qadhi, Andrew Yu Morozov

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Weam AlharbiDepartment of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Simran K SandhuSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK.
Mounirah AreshiDepartment of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Abeer AlotaibiDepartment of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Mohammed AlfaidiDepartment of Biology, University College of Duba, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Ghada Al-QadhiDepartment of Mathematics, Faculty of science, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Andrew Yu MorozovSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK. am379@le.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Models, TheoreticalPest Control, BiologicalHumans

Identifiers

PMID36056142
PMCPMC9440112

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.