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Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change

BACKGROUND: The relationship between mosquito development and temperature is one of the keys to understanding the current and future dynamics and distribution of vector-borne diseases such as malaria. Many process-based models use mean air temperature to estimate larval development times, and hence...

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Autores principales: Paaijmans, Krijn P, Imbahale, Susan S, Thomas, Matthew B, Takken, Willem
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912924/
https://www.ncbi.nlm.nih.gov/pubmed/20618930
http://dx.doi.org/10.1186/1475-2875-9-196
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author Paaijmans, Krijn P
Imbahale, Susan S
Thomas, Matthew B
Takken, Willem
author_facet Paaijmans, Krijn P
Imbahale, Susan S
Thomas, Matthew B
Takken, Willem
author_sort Paaijmans, Krijn P
collection PubMed
description BACKGROUND: The relationship between mosquito development and temperature is one of the keys to understanding the current and future dynamics and distribution of vector-borne diseases such as malaria. Many process-based models use mean air temperature to estimate larval development times, and hence adult vector densities and/or malaria risk. METHODS: Water temperatures in three different-sized water pools, as well as the adjacent air temperature in lowland and highland sites in western Kenya were monitored. Both air and water temperatures were fed into a widely-applied temperature-dependent development model for Anopheles gambiae immatures, and subsequently their impact on predicted vector abundance was assessed. RESULTS: Mean water temperature in typical mosquito breeding sites was 4-6°C higher than the mean temperature of the adjacent air, resulting in larval development rates, and hence population growth rates, that are much higher than predicted based on air temperature. On the other hand, due to the non-linearities in the relationship between temperature and larval development rate, together with a marginal buffering in the increase in water temperature compared with air temperature, the relative increases in larval development rates predicted due to climate change are substantially less. CONCLUSIONS: Existing models will tend to underestimate mosquito population growth under current conditions, and may overestimate relative increases in population growth under future climate change. These results highlight the need for better integration of biological and environmental information at the scale relevant to mosquito biology.
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spelling pubmed-29129242010-07-31 Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change Paaijmans, Krijn P Imbahale, Susan S Thomas, Matthew B Takken, Willem Malar J Research BACKGROUND: The relationship between mosquito development and temperature is one of the keys to understanding the current and future dynamics and distribution of vector-borne diseases such as malaria. Many process-based models use mean air temperature to estimate larval development times, and hence adult vector densities and/or malaria risk. METHODS: Water temperatures in three different-sized water pools, as well as the adjacent air temperature in lowland and highland sites in western Kenya were monitored. Both air and water temperatures were fed into a widely-applied temperature-dependent development model for Anopheles gambiae immatures, and subsequently their impact on predicted vector abundance was assessed. RESULTS: Mean water temperature in typical mosquito breeding sites was 4-6°C higher than the mean temperature of the adjacent air, resulting in larval development rates, and hence population growth rates, that are much higher than predicted based on air temperature. On the other hand, due to the non-linearities in the relationship between temperature and larval development rate, together with a marginal buffering in the increase in water temperature compared with air temperature, the relative increases in larval development rates predicted due to climate change are substantially less. CONCLUSIONS: Existing models will tend to underestimate mosquito population growth under current conditions, and may overestimate relative increases in population growth under future climate change. These results highlight the need for better integration of biological and environmental information at the scale relevant to mosquito biology. BioMed Central 2010-07-09 /pmc/articles/PMC2912924/ /pubmed/20618930 http://dx.doi.org/10.1186/1475-2875-9-196 Text en Copyright ©2010 Paaijmans et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Paaijmans, Krijn P
Imbahale, Susan S
Thomas, Matthew B
Takken, Willem
Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
title Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
title_full Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
title_fullStr Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
title_full_unstemmed Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
title_short Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
title_sort relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912924/
https://www.ncbi.nlm.nih.gov/pubmed/20618930
http://dx.doi.org/10.1186/1475-2875-9-196
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