Evidence map›Paper›PMID 40266729›Full record

ReviewInsects2025

Advancements in Life Tables Applied to Integrated Pest Management with an Emphasis on Two-Sex Life Tables.

Zhenfu Chen, Yang Luo, Liang Wang, Da Sun, Yikang Wang, Juan Zhou, Bo Luo, Hui Liu, Rong Yan, Lingjun Wang

Abstract readReview
In one paragraph

Review in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zhenfu ChenDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Yang LuoDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Liang WangDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Da SunDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Yikang WangDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Juan ZhouDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Bo LuoDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Hui LiuDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Rong YanDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.
Lingjun WangDepartment of Parasitology, Zunyi Medical University, Zunyi 563000, China.ORCID 0000-0002-1431-3214

Funding

the National Natural Science Foundation Project of China 82360401the National Natural Science Foundation Project of China, grant numbers 82060374the Open Project Fund of Key Laboratory of Parasite and Vector Biology NHCKFKT2023-10the Science and Technology Foundation of Guizhou Province QKHJC-ZK-[2023]-YB517the Science and Technology Foundation of Zunyi City ZSKH-HZ (2024)336the Youth Science and Technology Talent Growth Project of Education Department of Guizhou Province [2024]137
6 · The paper itself

Abstract

Life tables are indispensable in IPM, offering an analysis of insect population dynamics. These tables record survival rates, fecundity, and other parameters at various developmental stages, enabling the identification of key factors that affect population numbers and the prediction of growth trajectories. This review discusses the application of life tables in agricultural pest management, including the assessment of the pest control capacity of natural enemies, the evaluation of biological agents, and the screening of insect-resistant plant species. In vector insect control, life tables are used to evaluate the transmission risks, model the population dynamics, and interfere with the life cycles of vector insects. For invasive pests, life tables help us to monitor population dynamics and predict future population sizes. In chemical pest control, life tables assist in evaluating the fitness costs of pesticide resistance, guiding insecticide selection, and optimizing application timing. In the final section, we explore future research directions, emphasizing the potential of integrating new technologies such as genomics, ethology, and satellite remote sensing to enhance life table analysis and improve IPM strategies.

Indexed as

age stageapplicationintegrated pest managementpest controlpopulation dynamicstwo-sex life table

Identifiers

PMID40266729
PMCPMC11943316

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.