Influence of climate on malaria transmission depends on daily temperature variation

被引:394
作者
Paaijmans, Krijn P. [1 ]
Blanford, Simon [1 ,2 ]
Bell, Andrew S. [2 ]
Blanford, Justine I. [3 ,4 ]
Read, Andrew F. [1 ,2 ,5 ]
Thomas, Matthew B. [1 ]
机构
[1] Penn State Univ, Dept Entomol, Ctr Infect Dis Dynam, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Biol, Ctr Infect Dis Dynam, University Pk, PA 16802 USA
[3] Penn State Univ, Dept Geog, University Pk, PA 16802 USA
[4] Penn State Univ, GeoVISTA Ctr, University Pk, PA 16802 USA
[5] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
关键词
Anopheles mosquitoes; climate change; diurnal temperature variability; ectotherms; Plasmodium malaria; GLOBAL CLIMATE; RISK; PLASMODIUM; ANOPHELES; TERRESTRIAL; RESURGENCE; IMPACTS; ECOLOGY; FUTURE; MODEL;
D O I
10.1073/pnas.1006422107
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Malaria transmission is strongly influenced by environmental temperature, but the biological drivers remain poorly quantified. Most studies analyzing malaria-temperature relations, including those investigating malaria risk and the possible impacts of climate change, are based solely on mean temperatures and extrapolate from functions determined under unrealistic laboratory conditions. Here, we present empirical evidence to show that, in addition to mean temperatures, daily fluctuations in temperature affect parasite infection, the rate of parasite development, and the essential elements of mosquito biology that combine to determine malaria transmission intensity. In general, we find that, compared with rates at equivalent constant mean temperatures, temperature fluctuation around low mean temperatures acts to speed up rate processes, whereas fluctuation around high mean temperatures acts to slow processes down. At the extremes (conditions representative of the fringes of malaria transmission, where range expansions or contractions will occur), fluctuation makes transmission possible at lower mean temperatures than currently predicted and can potentially block transmission at higher mean temperatures. If we are to optimize control efforts and develop appropriate adaptation or mitigation strategies for future climates, we need to incorporate into predictive models the effects of daily temperature variation and how that variation is altered by climate change.
引用
收藏
页码:15135 / 15139
页数:5
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