Macroclimate Determines the Global Range Limit of Aedes aegypti


Aedes aegypti is the main vector of dengue and a number of other diseases worldwide. Because of the domestic nature of this mosquito, the relative importance of macroclimate in shaping its distribution has been a controversial issue. We have captured here the worldwide macroclimatic conditions occupied by Aaegypti in the last century. We assessed the ability of this information to predict the species’ observed distribution using supra-continental spatially-uncorrelated data. We further projected the distribution of the colonized climates in the near future (2010–2039) under two climate-change scenarios. Our results indicate that the macroclimate is largely responsible for setting the maximum range limit of Aaegypti worldwide and that in the near future, relatively wide areas beyond this limit will receive macroclimates previously occupied by the species. By comparing our projections, with those from a previous model based strictly on species-climate relationships (i.e., excluding human influence), we also found support for the hypothesis that much of the species’ range in temperate and subtropical regions is being sustained by artificial environments. Altogether, these findings suggest that, if the domestic environments commonly exploited by this species are available in the newly suitable areas, its distribution may expand considerably in the near future.

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  1. Albou L-P, Schwarz B, Poch O, Wurtz JM, Moras D (2009) Defining and characterizing protein surface using alpha shapes. Proteins: Structure, Function, and Bioinformatics 76:1-12

    CAS  Article  Google Scholar 

  2. Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43:1223-1232

    Article  Google Scholar 

  3. Araújo MB, Pearson RG, Thuiller W, Erhard M (2005) Validation of species–climate impact models under climate change. Global Change Biology 11:1504-1513

    Article  Google Scholar 

  4. Beebe NW, Cooper RD, Mottram P, Sweeney AW (2009) Australia’s dengue risk driven by human adaptation to climate change. PLoS Neglected Tropical Diseases 3:e429

    PubMed Central  PubMed  Article  Google Scholar 

  5. Buckley LB, Urban MC, Angilletta MJ, Crozier LG, Rissler LJ, Sears MW (2010) Can mechanism inform species’ distribution models? Ecology Letters 13:1041-1054

    PubMed  Article  Google Scholar 

  6. Capinha C, Anastácio P, Tenedório JA (2012) Predicting the impact of climate change on the invasive decapods of the Iberian inland waters: an assessment of reliability. Biological Invasions 14:1737-1751

    Article  Google Scholar 

  7. Christophers S (1960) Aëdes aegypti (L) the Yellow Fever Mosquito: its Life History, Bionomics and Structure. Cambridge: Cambridge University Press

    Google Scholar 

  8. Edelsbrunner H, Kirkpatrick D, Seidel R (1983) On the shape of a set of points in the plane. IEEE Transactions on Information Theory 29:551-559

    Article  Google Scholar 

  9. Edelsbrunner H, Mücke EP (1994) Three-dimensional alpha shapes. ACM Transactions on Graphics 13:43-72

    Article  Google Scholar 

  10. Fitzpatrick MC, Hargrove WW (2009) The projection of species distribution models and the problem of non-analog climate. Biodiversity and Conservation 18:2255-2261

    Article  Google Scholar 

  11. Focks D, Haile D, Daniels E, Mount G (1993) Dynamic life table model for Aedes aegypti (Diptera: Culicidae): analysis of the literature and model development. Journal of Medical Entomology 30:1003-1017

    CAS  PubMed  Google Scholar 

  12. Guisan A, Petitpierre B, Broennimann O, Kueffer C, Randin C, Daehler C (2012) Response to Comment on “Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders”. Science 338:193

    CAS  Article  Google Scholar 

  13. Hales S, de Wet N, Maindonald J, Woodward A (2002) Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. The Lancet 360:830-834

    Article  Google Scholar 

  14. Harris I, Jones PD, Osborn TJ, Lister DH (2013) Updated high-resolution grids of monthly climatic observations. International Journal of Climatology. doi:10.1002/joc.3711

    Google Scholar 

  15. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978

    Article  Google Scholar 

  16. Hijmans RJ, Graham CH (2006) The ability of climate envelope models to predict the effect of climate change on species distributions. Global Change Biology 12:2272-2281

    Article  Google Scholar 

  17. Hopp M, Foley J (2001) Global-Scale Relationships between Climate and the Dengue Fever Vector, Aedes aegypti. Climatic Change 48:441-463

    Article  Google Scholar 

  18. Jansen CC, Beebe NW (2010) The dengue vector Aedes aegypti: what comes next. Microbes and Infection 12:272-279

    PubMed  Article  Google Scholar 

  19. Jeschke JM, Strayer DL (2008) Usefulness of bioclimatic models for studying climate change and invasive species. Annals of the New York Academy of Sciences 1134:1-24

    PubMed  Article  Google Scholar 

  20. Jiménez-Valverde A, Peterson A, Soberón J, Overton J, Aragón P, Lobo J (2011) Use of niche models in invasive species risk assessments. Biological Invasions 13:2785-2797

    Article  Google Scholar 

  21. Jones CC, Acker SA, Halpern CB (2010) Combining local-and large-scale models to predict the distributions of invasive plant species. Ecological Applications 20:311-326

    PubMed  Article  Google Scholar 

  22. Kearney M, Porter WP, Williams C, Ritchie S, Hoffmann AA (2009) Integrating biophysical models and evolutionary theory to predict climatic impacts on species’ ranges: the dengue mosquito Aedes aegypti in Australia. Functional Ecology 23:528-538

    Article  Google Scholar 

  23. Kearney MR, Wintle BA, Porter WP (2010) Correlative and mechanistic models of species distribution provide congruent forecasts under climate change. Conservation Letters 3:203-213

    Article  Google Scholar 

  24. Lounibos LP (2010) Human disease vectors. In Encyclopedia of Biological Invasions, Simberloff D and Rejmanek M (editors). Berkeley and Los Angeles, University of California Press, pp 150-154

    Google Scholar 

  25. Lozano-Fuentes S, Hayden MH, Welsh-Rodriguez C, Ochoa-Martinez C, Tapia-Santos B, Kobylinski KC, et al. (2012) The Dengue Virus Mosquito Vector Aedes aegypti at High Elevation in México. The American Journal of Tropical Medicine and Hygiene 87:902-909

    PubMed Central  PubMed  Article  Google Scholar 

  26. Omeara GF, Evans LF, Gettman AD, Cuda JP (1995) Spread of Aedes albopictus and decline of Ae. aegypti (Diptera: Culicidae) in Florida. Journal of Medical Entomology 32:554-562

    CAS  Google Scholar 

  27. Ramirez-Villegas J, Jarvis A (2010) Downscaling global circulation model outputs: the delta method decision and policy analysis Working Paper No. 1. International Center for Tropical Agriculture. Accessed 13 May 2013.

  28. Reiter P (2001) Climate change and mosquito-borne disease. Environmental Health Perspectives 109:141

    PubMed Central  PubMed  Article  Google Scholar 

  29. Shope R (1991) Global climate change and infectious diseases. Environmental Health Perspectives 96:171

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  30. Soper FL (1967) Dynamics of Aedes aegypti distribution and density. Seasonal fluctuations in the Americas. Bulletin of the World Health Organization 36:536

    CAS  PubMed Central  PubMed  Google Scholar 

  31. Vasconcelos PF, Travassos da Rosa A, Pinheiro FP, Rodrigues SG, Travassos da Rosa E, Cruz AC, et al. (1999) Aedes aegypti, dengue and re-urbanization of yellow fever in Brazil and other South American countries–Past and present situation and future perspectives. Dengue Bulletin 23:55-56.2

    Google Scholar 

  32. Webber BL, Le Maitre DC, Kriticos DJ (2012) Comment on “Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders”. Science 338:193

    CAS  PubMed  Article  Google Scholar 

  33. Wertheim HF, Horby P, Woodall JP (2012) Atlas of human infectious diseases, Chichester: John Wiley & Sons

    Book  Google Scholar 

  34. Williams CR, Bader CA, Kearney MR, Ritchie SA, Russell RC (2010) The extinction of dengue through natural vulnerability of its vectors. PLoS Neglected Tropical Diseases 4:e922

    PubMed Central  PubMed  Article  Google Scholar 

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This work was supported by a grant from Fundação para a Ciência e a Tecnologia (FCT) (PTDC/SAU-EPI/115853/2009). C.C. was supported by a FCT individual grant (SFRH/BPD/84422/2012).

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Correspondence to César Capinha.

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Capinha, C., Rocha, J. & Sousa, C.A. Macroclimate Determines the Global Range Limit of Aedes aegypti . EcoHealth 11, 420–428 (2014).

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  • Aedes aegypti
  • Climate change
  • Dengue
  • Global distribution
  • Urban disease-vectors