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Cited by 293

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

I NSECT B IODEMOGRAPHY

Carey, James R.·2001·Annual Review of Entomology

Abstract

▪ Abstract Biodemography is an emerging subdiscipline of classical demography that brings life table techniques, mortality models, experimental systems, and comparative methods to bear on questions concerned with the fundamental determinants of mortality, longevity, aging, and life span. It is important to entomology because it provides a secure and comprehensive actuarial foundation for life table and mortality analysis, it suggests new possibilities for the use of model insect systems in the study of aging and mortality dynamics, and it integrates an interdisciplinary perspective on demographic concepts and actuarial techniques into the entomological literature. This paper describes the major life table formulae and mortality models used to analyze the actuarial properties of insects; summarizes the literature on adult insect life span, including a discussion of basic concepts; identifies the major correlates of extended longevity; and suggests new ideas for using demographic concepts in both basic and applied entomology.

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Crossref · 10.1146/annurev.ento.46.1.79

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Metadata

Authors
Carey, J. R.
Venue
Annual Review of Entomology
Published
2001-01
Volume
46
Issue
1
Pages
79-110
ISSN
  • 0066-4170 (ISSN-L)
  • 1545-4487
OpenAlex
W4252235812
Cited by
293
References
109
FWCI
18.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: I NSECT B IODEMOGRAPHY. https://app.cochat.ai/papers/10.1146/annurev.ento.46.1.79
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Carey, J. R. (2001). I NSECT B IODEMOGRAPHY. Annual Review of Entomology. https://doi.org/10.1146/annurev.ento.46.1.79

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.