Evidence map›Paper›PMID 21389034›Full record

ArticleProceedings. Biological sciences2011

Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors.

Tanya L Russell, Dickson W Lwetoijera, Bart G J Knols, Willem Takken, Gerry F Killeen, Heather M Ferguson

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

40 citing papers in PubMed, 72 citations in OpenAlex.

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  14. Population Dynamics ofInsects · 2018
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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

6 authors at 6 institutions in 4 countries.

Tanya L RussellBiomedical and Environmental Thematic Group, Ifakara Health Institute, PO Box 53, Ifakara, Tanzania. t.russell2@uq.edu.au
Dickson W Lwetoijera
Bart G J Knols
Willem Takken
Gerry F Killeen
Heather M Ferguson
Academic Medical Center · NLIfakara Health Institute · TZLiverpool School of Tropical Medicine · GBUniversity of Glasgow · GBUniversity of Queensland · AUWageningen University & Research · NL

Funding

Biotechnology and Biological Sciences Research Council BB/D020042/1Wellcome Trust
6 · The paper itself

Abstract

Understanding the endogenous factors that drive the population dynamics of malaria mosquitoes will facilitate more accurate predictions about vector control effectiveness and our ability to destabilize the growth of either low- or high-density insect populations. We assessed whether variation in phenotypic traits predict the dynamics of Anopheles gambiae sensu lato mosquitoes, the most important vectors of human malaria. Anopheles gambiae dynamics were monitored over a six-month period of seasonal growth and decline. The population exhibited density-dependent feedback, with the carrying capacity being modified by rainfall (97% wAIC(c) support). The individual phenotypic expression of the maternal (p = 0.0001) and current (p = 0.040) body size positively influenced population growth. Our field-based evidence uniquely demonstrates that individual fitness can have population-level impacts and, furthermore, can mitigate the impact of exogenous drivers (e.g. rainfall) in species whose reproduction depends upon it. Once frontline interventions have suppressed mosquito densities, attempts to eliminate malaria with supplementary vector control tools may be attenuated by increased population growth and individual fitness.

Indexed as

AnimalsAnophelesBody SizeFemalePopulation DensityPopulation DynamicsRainTanzania

Identifiers

PMID21389034
PMCPMC3158942
OpenAlexW2160930918

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.