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Cited by 484

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Managing Social Insects of Urban Importance

Rust, Michael K., Su, Nan-Yao·2012·Annual Review of Entomology

Abstract

Social insects have a tremendous economic and social impact on urban communities. The rapid urbanization of the world has dramatically increased the incidence of urban pests. Human commerce has resulted in the spread of urban invasive species worldwide such that various species are now common to many major urban centers. We aim to highlight those social behaviors that can be exploited to control these pests with the minimal use of pesticides. Their cryptic behavior often prohibits the direct treatment of colonies. However, foraging and recruitment are essential aspects of their social behavior and expose workers to traps, baits, and pesticide applications. The advent of new chemistries has revolutionized the pest management strategies used to control them. In recent years, there has been an increased environmental awareness, especially in the urban community. Advances in molecular and microbial agents promise additional tools in developing integrated pest management programs against social insects.

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Crossref · 10.1146/annurev-ento-120710-100634

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Metadata

Authors
Rust, M. K., & Su, N.-Y.
Venue
Annual Review of Entomology
Published
2012-01-07
Volume
57
Issue
1
Pages
355-375
ISSN
  • 0066-4170 (ISSN-L)
  • 1545-4487
OpenAlex
W2142345851
Cited by
484
References
32
FWCI
1.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Managing Social Insects of Urban Importance. https://app.cochat.ai/papers/10.1146/annurev-ento-120710-100634
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Rust, M. K., & Su, N.-Y. (2012). Managing Social Insects of Urban Importance. Annual Review of Entomology. https://doi.org/10.1146/annurev-ento-120710-100634

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.