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Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors
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 phe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3158942/ https://www.ncbi.nlm.nih.gov/pubmed/21389034 http://dx.doi.org/10.1098/rspb.2011.0153 |
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author | Russell, Tanya L. Lwetoijera, Dickson W. Knols, Bart G. J. Takken, Willem Killeen, Gerry F. Ferguson, Heather M. |
author_facet | Russell, Tanya L. Lwetoijera, Dickson W. Knols, Bart G. J. Takken, Willem Killeen, Gerry F. Ferguson, Heather M. |
author_sort | Russell, Tanya L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3158942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-31589422011-09-01 Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors Russell, Tanya L. Lwetoijera, Dickson W. Knols, Bart G. J. Takken, Willem Killeen, Gerry F. Ferguson, Heather M. Proc Biol Sci Research Articles 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. The Royal Society 2011-10-22 2011-03-09 /pmc/articles/PMC3158942/ /pubmed/21389034 http://dx.doi.org/10.1098/rspb.2011.0153 Text en This journal is © 2011 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Russell, Tanya L. Lwetoijera, Dickson W. Knols, Bart G. J. Takken, Willem Killeen, Gerry F. Ferguson, Heather M. Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
title | Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
title_full | Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
title_fullStr | Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
title_full_unstemmed | Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
title_short | Linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
title_sort | linking individual phenotype to density-dependent population growth: the influence of body size on the population dynamics of malaria vectors |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3158942/ https://www.ncbi.nlm.nih.gov/pubmed/21389034 http://dx.doi.org/10.1098/rspb.2011.0153 |
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