Ecological niche modelling predicts southward expansion of Lutzomyia (Nyssomyia) flaviscutellata (Diptera: Psychodidae: Phlebotominae), vector of Leishmania (Leishmania) amazonensis in South America, under climate change

PLoS ONE

Volumn 10, Issue 11, 2015, Pages

  Carvalho, Bruno M ^a,b,c,d   Rangel, Elizabeth F ^b   Ready, Paul D ^c   Vale, Mariana M ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b INSTITUTO OSWALDO CRUZ   (Brazil)

^c LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^d STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BOLIVIA; BRAZIL; CLIMATE CHANGE; COLOMBIA; CONTROLLED STUDY; ECOLOGICAL NICHE; ECUADOR; FRENCH GUIANA; GREENHOUSE GAS; LEISHMANIA AMAZONENSIS; LOGISTIC REGRESSION ANALYSIS; LUTZOMYIA; LUTZOMYIA FLAVISCUTELLATA; MORPHOLOGY; NONHUMAN; PARAGUAY; PARASITE TRANSMISSION; PERU; POPULATION DENSITY; POPULATION SIZE; RANDOM FOREST; SOUTH AMERICA; SURINAME; TRINIDAD AND TOBAGO; VENEZUELA; ANIMAL; ANIMAL DISPERSAL; DISEASE CARRIER; ECOSYSTEM; PHYSIOLOGY; PSYCHODIDAE; STATISTICAL MODEL;

ANIMAL DISTRIBUTION; ANIMALS; CLIMATE CHANGE; DISEASE VECTORS; ECOSYSTEM; MODELS, STATISTICAL; PSYCHODIDAE; SOUTH AMERICA;

EID: 84957052838     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0143282     Document Type: Article

References (109)

1. Woodward A, Smith KR, Campbell-Lendrum D, Chadee DD, Honda Y, Liu Q, et al. Climate change and health: on the latest IPCC report. Lancet. 2014; 383: 1185-1189. doi: 10.1016/S0140-6736(14) 60576-6 PMID: 24703554
2. IPCC. Summary for Policymakers. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, et al., editors. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press; 2014. p. 1-32.
3. Kovats RS, Campbell-Lendrum DH, McMichael AJ, Woodward A, Cox JH. Early effects of climate change: do they include changes in vector-borne diseases? Philos Trans R Soc Lond B. 2001; 356: 1057-1068. doi: 10.1098/rstb.2001.0894
4. Rosenthal J. Climate change and the geographical distribution of infectious diseases. Ecohealth. 2009; 189-495. doi: 10.1007/s10393-010-0314-1
5. Parham PE, Waldock J, Christophides GK, Hemming D, Agusto F, Evans KJ, et al. Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission. Philos Trans R Soc B. 2015; 370: 20130551. doi: 10.1098/rstb.2013.0551
6. Ready PD. Leishmaniasis emergence and climate change. Rev Sci Tech. 2008; 27: 399-412. PMID: 18819668
7. WHO. World Health Organization. Control of the leishmaniases: report of a meeting of the WHO Expert Committee on the Control of Leishmaniases, Geneva, 22-26 March 2010. WHO Technical Report Series, no. 949. Geneva: WHO Press; 2010.
8. Ready PD. Biology of phlebotomine sand flies as vectors of disease agents. Annu Rev Entomol. 2013; 58: 227-250. doi: 10.1146/annurev-ento-120811-153557 PMID: 23317043
9. Lainson R, Shaw JJ, New World Leishmaniasis. In: Collier L, Balows A, Sussman M, editors. Topley & Wilson's Microbiology and Microbial Infections, 10th ed., Vol 5: Parasitology. London: Hodder Arnold; 2005. p. 313-349.
10. Rangel EF, Lainson R. Proven and putative vectors of American cutaneous leishmaniasis in Brazil: aspects of their biology and vectorial competence. Mem Inst Oswaldo Cruz. 2009; 104(7): 937-954. doi: 10.1590/S0074-02762009000700001 PMID: 20027458
11. Alvar J, Vélez ID, Bern C, Herrero M, Desjeux P, Cano J, et al. Leishmaniasis worldwide and global estimates of its incidence. PLoS ONE. 2012; 7(5): e35671. doi: 10.1371/journal.pone.0035671 PMID: 22693548
12. Rangel EF, Costa SM, Carvalho BM. Environmental changes and the geographic spreading of American cutaneous leishmaniasis in Brazil. In: Claborn D, editor. Leishmaniasis-Trends in Epidemiology, Diagnosis and Treatment. Rijeka: InTech; 2014. doi: 10.5772/57207
13. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Manual de Vigilância da Leishmaniose Tegumentar Americana, 2a ed. Brasília: Editora do Ministério da Saúde; 2007. Available: http://bvsms.saude.gov.br/bvs/publicacoes/manual-vigilancia-leishmaniose-2ed.pdf.
14. Costa JA, Costa AAUML, Elkhoury AN, Bezerril ACR, Barral A, Saldanha ACR. Leishmaniose cutânea difusa (LCD) no Brasil após 60 anos de sua primeira descrição. Gazeta Médica da Bahia. 2009; 79(Supl.3): 16-24.
15. Zerpa O, Convit J. Leishmaniasis cutánea en Venezuela. Gazeta Médica da Bahia. 2009; 79(Supl.3): 30-34.
16. Lainson R, Shaw JJ. Leishmaniasis in Brazil I. Observations on enzootic rodent leishmaniasis - Incrimination of Lutzomyia flaviscutellata (Mangabeira) as the vector in the lower Amazonian Basin. Trans R Soc Trop Med Hyg. 1968; 62: 385-395. doi: 10.1016/0035-9203(68)90090-4 PMID: 5659232
17. Lainson R, Shaw JJ, Silveira FT, de Souza AA, Braga RR, Ishikawa EA. The dermal leishmaniases of Brazil, with special reference to the eco-epidemiology of the disease in Amazonia. Mem Inst Oswaldo Cruz. 1994; 89(3): 435-443. doi: 10.1590/S0074-02761994000300027 PMID: 7476229
18. Shaw JJ, Lainson R. Leishmaniasis in Brazil: II. Observations on enzootic rodent leishmaniasis in the lower Amazon region - the feeding habits of the vector, Lutzomyia flaviscutellata, in reference to man, rodents and other animals. Trans R Soc Trop Med Hyg. 1968; 62(3): 396-405. doi: 10.1016/0035-9203(68)90091-6 PMID: 5659233
19. Lewis DJ. The Lutzomyia flaviscutellata complex (Diptera: Psychodidae). J Med Entomol. 1975; 12 (3): 363-368. doi: 10.1093/jmedent/12.3.363 PMID: 1181443
20. Young DG, Duncan NA. Guide to the identification and geographic distribution of Lutzomyia sand flies in Mexico, the West Indies, Central and South America (Diptera: Psychodidae). Memoirs of the American Entomological Institute. 1994; 54: 1-881.
21. Galati EAB. Classificação de Phlebotominae. In: Rangel EF, Lainson R., editors. Flebotomíneos do Brasil. Rio de Janeiro: Editora Fiocruz; 2003. p. 23-52.
22. Shaw JJ, Lainson R. Leishmaniasis in Brazil: VI. Observations on the seasonal variations of Lutzomyia flaviscutellata in different types of forest and its relationship to enzootic rodent leishmaniasis (Leishmania mexicana amazonensis). Trans R Soc Trop Med Hyg. 1972; 66(5): 709-717. doi: 10. 1016/0035-9203(72)90084-3 PMID: 4647642
23. Ready PD, Lainson R, Shaw JJ. Leishmaniasis in Brazil. XX: Prevalence of "enzootic rodent leishmaniasis" (Leishmania mexicana amazonensis) and apparent absence of pian-bois (Le. braziliensis guyanensis), in plantations of introduced tree species and in other non-climax forests in eastern Amazonia. Trans R Soc Trop Med Hyg. 1983; 77: 775-785. doi: 10.1016/0035-9203(83)90288-2 PMID: 6665830
24. Joetzjer E, Douville H, Delire C, Ciais P. Present-day and future Amazonian precipitation in global climate models: CMIP5 versus CMIP3. Clim Dyn. 2013; 41(11-12): 2921-2936. doi: 10.1007/s00382-012-1644-1
25. IPCC. Summary for Policymakers. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, et al., editors. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press; 2013. p. 1-27.
26. Azeredo-Coutinho RBG, Conceição-Silva F, Schubach A, Cupolillo E, Quintela LP, Madeira MF, et al. First report of diffuse cutaneous leishmaniasis and Leishmania amazonensis infection in Rio de Janeiro State, Brazil. Trans R Soc Trop Med Hyg. 2007; 101: 735-737. doi: 10.1016/j.trstmh.2007. 01.005 PMID: 17368698
27. Pinto IS, dos Santos CB, Ferreira AL, Falqueto A. Richness and diversity of sand flies (Diptera, Psychodidae) in an Atlantic rainforest reserve in southeastern Brazil. J Vector Ecol. 2010; 35(2): 325-332. doi: 10.1111/j.1948-7134.2010.00090.x PMID: 21175939
28. Carvalho BM, Maximo M, Costa WA, Santana ALF, Costa SM, Rego TANC, et al. Leishmaniasis transmission in an ecotourism area: potential vectors in Ilha Grande, Rio de Janeiro State, Brazil. Parasit Vectors. 2013; 6: 325. doi: 10.1186/1756-3305-6-325 PMID: 24499568
29. Nunes VLB, Galati EAB, Cardozo C, Rocca MEG, de Andrade ARO, Santos MFC, et al. Estudo de flebotomíneos (Diptera, Psychodidae) em área urbana do município de Bonito, Mato Grosso do Sul, Brasil. Rev Bras Entomol. 2008; 52(3): 446-451. doi: 10.1590/S0085-56262008000300019
30. Vilela ML, Azevedo CG, Carvalho BM, Rangel EF. Phlebotomine fauna (Diptera: Psychodidae) and putative vectors of leishmaniases in impacted area by hydroelectric plant, state of Tocantins, Brazil. PLoS One. 2011; 6(12): e27721. doi: 10.1371/journal.pone.0027721 PMID: 22163271
31. Vilela ML, Pita-Pereira D, Azevedo CG, Godoy RE, Britto C, Rangel EF. The phlebotomine fauna (Diptera: Psychodidae) of Guaraí, state of Tocantins, with an emphasis on the putative vectors of American cutaneous leishmaniasis in rural settlement and periurban areas. Mem Inst Oswaldo Cruz. 2013; 108(5): 578-585. doi: 10.1590/S0074-02762013000500007 PMID: 23903972
32. Brito VN, de Almeida ABPF, Nakazato L, Duarte R, Souza CO, Sousa VRF. Phlebotomine fauna, natural infection rate and feeding habits of Lutzomyia cruzi in Jaciara, state of Mato Grosso, Brazil. Mem Inst Oswaldo Cruz. 2014; 109(7): 899-904. doi: 10.1590/0074-0276140112 PMID: 25410993
33. Guisan A, Zimmermann NE. Predictive habitat distribution models in ecology. Ecol Modell. 2000; 135: 147-186. doi: 10.1016/S0304-3800(00)00354-9
34. Guisan A, Thuiller W. Predicting species distribution: offering more than simple habitat models. Ecol Lett. 2005; 8: 993-1009. doi: 10.1111/j.1461-0248.2005.00792.x
35. Elith J, Leathwick JR. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution and Systematics. 2009; 40: 677-697. doi: 10. 1146/annurev.ecolsys.110308.120159
36. Franklin J. Mapping species distributions. Spatial inference and prediction. Cambridge: Cambridge University Press; 2010.
37. Peterson AT, Soberón J, Pearson RG, Anderson RP, Martínez-Meyer E, Nakamura M, et al. Ecological niches and geographic distributions. Monographs in Population Biology 49. New Jersey: Princeton University Press; 2011.
38. Pearson RG, Thuiller W, Araújo MB, Martinez-Meyer E, Brotons L, McClean C, et al. Model-based uncertainty in species range prediction. J Biogeogr. 2006; 33: 1704-1711. doi: 10.1111/j.1365-2699. 2006.01460.x
39. Diniz-Filho JAF, Bini LM, Rangel TF, Loyola RD, Hof C, Nogués-Bravo D, et al. Partitioning and mapping uncertainties in ensembles of forecasts of species under climate change. Ecography. 2009; 32: 897-906. doi: 10.1111/j.1600-0587.2009.06196.x
40. Qiao H, Soberón J, Peterson AT. No silver bullets in correlative ecological niche modeling: Insights from testing among many potential algorithms for niche estimation. Methods Ecol Evol.
41. Peters J, De Baets B, Van doninck J, Calvete C, Lucientes J, De Clercq EM, et al. Absence reduction in entomological surveillance data to improve niche-based distribution models for Culicoides imicola. Prev Vet Med. 2011; 100: 15-28. doi: 10.1016/j.prevetmed.2011.03.004 PMID: 21496932
42. Li X, Wang Y. Applying various algorithms for species distribution modelling. Integr Zool. 2013; 8: 124-135. doi: 10.111/1749-4877.12000 PMID: 23731809
43. González C, Wang O, Strutz SE, González-Salazar C, Sánchez-Cordero V, Sarkar S. Climate change and risk of leishmaniasis in North America: predictions from ecological niche models of vector and reservoir species. PLoS Negl Trop Dis. 2010; 4(1): e585. doi: 10.1371/journal.pntd.0000585 PMID: 20098495
44. Fischer D, Moeller P, Thomas SM, Naucke TJ, Beierkuhnlein C. Combining climatic projections and dispersal ability: a method for estimating the responses of sandfly vector species to climate change. PLoS Negl Trop Dis. 2011; 5(11): e1407. doi: 10.1371/journal.pntd.0001407 PMID: 22140590
45. Moo-Llanes D, Ibarra-Cerdeña CN, Rebollar-Téllez EA, Ibáñez-Bernal S, González C, Ramsey JM. Current and future niche of North and Central American sand flies (Diptera: Psychodidae) in climate change scenarios. PLoS Negl Trop Dis. 2013; 7(9): e2421. doi: 10.1371/journal.pntd.0002421 PMID: 24069478
46. Peterson AT, Shaw JJ. Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: ecological niche models, predicted geographic distributions, and climate change effects. Int J Parasitol. 2003; 33: 919-931. doi: 10.1016/S0020-7519(03)00094-8 PMID: 12906876
47. IBGE. Censo 2010. 2010. Available: http://www.censo2010.ibge.gov.br.
48. Fairchild GB, Theodor O. On Lutzomyia flaviscutellata (Mangabeira) and L. olmeca (Vargas and Diaz-Najera) (Diptera: Psychodidae). J Med Entomol. 1971; 8(2): 153-159. doi: 10.1093/jmedent/8.2.153 PMID: 5157836
49. Forattini OP. Entomologia médica 4° Volume: Psychodidae. Phlebotominae. Leishmanioses. Bartonelose. São Paulo: Edgard Blücher; 1973.
50. Dorval MEC, Alves TP, Oliveira AG, Brazil RP, Galati EAB, Cunha RV. Modification of Disney trap for capture of sand flies (Diptera: Psychodidae: Phlebotominae). Mem Inst Oswaldo Cruz. 2007; 102(7): 877-878. doi: 10.1590/S0074-02762007005000111 PMID: 17992367
51. Alves VR, Freitas RA, Santos FL, Oliveira AFJ, Barrett TV, Shimabukuro PHF. Sand flies (Diptera, Psychodidae, Phlebotominae) from Central Amazonia and four new records for the Amazonas state, Brazil. Rev Bras Entomol. 2012; 56(2): 220-227. doi: 10.1590/S0085-56262012005000020
52. Ferreira JVS, dos Santos TV, dos Santos EM, Gorayeb IS. Phlebotomine sand flies (Diptera: Psychodidae) in forest fragments of Belém metropolitan area, Pará State, Brazil, with considerations on vectors of American cutaneous leishmaniasis agents. Revista Pan-Amazônica de Saúde. 2014; 5(2): 29-35. doi: 10.5123/S2176-62232014000200004
53. Gomes AC, Galati EAB, de Paula MB, Mucci LF. Phlebotomines in the area adjacent to the Porto Primavera dam, between São Paulo and Mato Grosso do Sul States, Brazil. Revista de Patologia Tropical. 2012; 41(2): 215-221. doi: 10.5216/rpt.v41i2.19323
54. Phillips SJ, Dudík M, Elith J, Graham CH, Lehmann A, Leathwick J, et al. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol Appl. 2009; 19: 181-197. doi: 10.1890/07-2153.1 PMID: 19323182
55. Vale MM, Jenkins CN. Across-taxa incongruence in patterns of collecting bias. J Biogeogr. 2012; 39 (9): 1744-1748. doi: 10.1111/j.1365-2699.2012.02750.x
56. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology. 2005; 25: 1965-1978. doi: 10.1002/joc.1276
57. Moss RH, Edmonds JA, Hibbard KA, Manning MR, Rose SK, van Vuuren DP, et al. The next generation of scenarios for climate change research and assessment. Nature. 2010; 463: 747-756. doi: 10. 1038/nature08823 PMID: 20148028
58. Pearson RG, Dawson TP. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Glob Ecol Biogeogr. 2003; 12: 361-371. doi: 10.1046/j.1466-822X.2003.00042.x
59. Wei T. corrplot: visualization of a correlation matrix. R package version 0.73. 2013. Available: http://CRAN.R-project.org/package=corrplot.
60. Elith J, Graham CH. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. Ecography. 2009; 32(1), 66-77. doi: 10.1111/j.1600-0587. 2008.05505.x
61. Booth TH, Nix HA, Busby JR, Hutchinson MF. BIOCLIM: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies. Divers Distrib. 2014; 20: 1-9. doi: 10.1111/ddi.12144
62. Carpenter G, Gillison AN, Winter J. DOMAIN: a flexible modeling procedure for mapping potential distributions of plants and animals. Biodivers Conserv. 1993; 2: 667-680. doi: 10.1007/BF00051966
63. Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distributions. Ecol Modell. 2006; 190: 231-259. doi: 10.1016/j.ecolmodel.2005.03.026
64. Stockwell D. The GARP modelling system: problems and solutions to automated spatial prediction, Int J Geogr Inf Sci. 1999; 13(2): 143-158. doi: 10.1080/136588199241391
65. Guisan A, Edwards TC Jr, Hastie T. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecol Modell. 2002; 157: 89-100. doi: 10.1016/S0304-3800 (02)00204-1
66. Breiman L. Random forests. Mach Learn. 2001; 45: 15-32. doi: 10.1023/A:1010933404324
67. Hijmans RJ, Phillips S, Leathwick J, Elith J. dismo: Species distribution modeling. R package version 1.0-5. 2014. Available: http://CRAN.R-project.org/package=dismo.
68. R Core Team. R: A language and environment for statistical computing. R foundation for Statistical Computing, Vienna, Austria. 2014. Available: http://www.R-project.org/.
69. Muñoz MES, Giovanni R, Siqueira MF, Sutton T, Brewer P, Pereira RS, et al. "openModeller: a generic approach to species' potential distribution modelling". Geoinformatica. 2011; 15(1): 111-135. doi: 10.1007/s10707-009-0090-7
70. Anderson RP, Lew D, Peterson AT. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecol Modell. 2003; 162: 211-232. doi: 10.1016/S0304-3800(02)00349-6
71. Soberón J, Peterson AT. Interpretation of models of fundamental ecological niches and species' distributional areas. Biodiversity Informatics. 2005; 2: 1-10. doi: 10.17161/bi.v2i0.4
72. Barve N, Barve V, Jiménez-Valverde A, Lira-Noriega A, Maher SP, Peterson AT, et al. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecol Modell. 2011; 222: 1810-1819. doi: 10.1016/j.ecolmodel.2011.02.011
73. Olson DM, Dinerstein E, Wikramanayake ED, Burgess ND, Powell GVN, Underwood EC, et al. Terrestrial ecoregions of the world: a new map of life on Earth. BioScience. 2001; 51(11): 933-938. doi: 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
74. Liu C, Berry PM, Dawson TP, Pearson RG. Selecting thresholds of occurrence in the prediction of species distributions. Ecography. 2005; 28: 385-393. doi: 10.1111/j.0906-7590.2005.03957.x
75. Liu C, White M, Newell G. Selecting thresholds for the prediction of species occurrence with presence-only data. J Biogeogr. 2013; 40: 778-789. doi: 10.1111/jbi.12058
76. Owens HL, Campbell LP, Dornak L, Saupe EE, Barve N, Soberón J, et al. Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas. Ecol Modell. 2013; 263: 10-18. doi: 10.1016/j.ecolmodel.2013.04.011
77. Allouche O, Tsoar A, Kadmon R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistics (TSS). J Appl Ecol. 2006; 43: 1223-1232. doi: 10.1111/j.1365-2664. 2006.01214.x
78. Araújo M, New M. Ensemble forecasting of species distributions. Trends Ecol Evol. 2007; 22(1): 42-47. doi: 10.1016/j.tree.2006.09.010 PMID: 17011070
79. Guillera-Arroita G, Lahoz-Monfort JJ, Elith J, Gordon A, Kujala H, Lentini PE. Is my species distribution model fit for purpose? Matching data and models to applications. Global Ecol Biogeogr. 2015; 24: 276-292. doi: 10.1111/geb.12268
80. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, et al. Novel methods improve prediction of species' distributions from occurrence data. Ecography. 2006; 29: 129-151. doi: 10.1111/j. 2006.0906-7590.04596.x
81. Fischer D, Thomas SM, Niemitz F, Reineking B, Beierkuhnlein C. Projection of climatic suitability for Aedes albopictus Skuse (Culicidae) in Europe under climate change conditions. Glob Planet Change. 2011; 78: 54-64. doi: 10.1016/j.gloplacha.2011.05.008
82. Fuller DO, Parenti MS, Hassan AN, Beier J. Linking land cover and species distribution models to project potential ranges of malaria vectors: an example using Anopheles arabiensis in Sudan and Upper Egypt. Malar J. 2012; 11: 264. doi: 10.1186/1475-2875-11-264 PMID: 22866895
83. Porretta D, Mastrantonio V, Amendolia S, Gaiarsa, Epis S, Genchi C, et al. Effects of global changes on the climatic niche of the tick Ixodes ricinus inferred by species distribution modelling. Parasit Vect. 2013; 6: 271. doi: 10.1186/1756-3305-6-271
84. Lobo JM, Jiménez-Valverde A, Joaquín H. The uncertain nature of absences and their importance in species distribution modelling. Ecography. 2010; 33: 103-114. doi: 10.1111/j.1600-0587.2009. 06039.x
85. Thuiller W. Patterns and uncertainties of species' range shifts under climate change. Glob Chang Biol. 2004; 10: 2020-2027. doi: 10.1111/j.1365-2486.2004.00859.x
86. Marengo JA. Mudanças Climáticas Globais e seus Efeitos sobre a Biodiversidade. 2a Ed. Ministério do Meio Ambiente. Brasília: MMA; 2007.
87. Chiang JM, Iverson LR, Prasad A, Brown KL. Effects of climate change and shifts in forest composition on forest net primary production. J Integr Plant Biol. 2008; 50: 1426-1439. doi: 10.1111/j.1744-7909.2008.00749.x PMID: 19017130
88. Gálvez R, Descalzo MA, Miró G, Jiménez MI, Martín O, Sandos-Brandao F, et al. Seasonal trends and spatial relations between environmental/meteorological factors and leishmaniosis sand fly vector abundances in Central Spain. Acta Trop. 2010; 115: 95-102. doi: 10.1016/j.actatropica.2010.02.009 PMID: 20171154
89. Gálvez R, Descalzo MA, Guerrero I, Miró G, Molina R. Mapping the current distribution and predicted spread of the leishmaniosis sand fly vector in the Madrid region (Spain) based on environmental variables and expected climate change. Vector Borne Zoonotic Dis. 2011; 11(7): 799-806. doi: 10.1089/vbz.2010.0109 PMID: 21417927
90. González C, Paz A, Ferro C. Predicted altitudinal shifts and reduced spatial distribution of Leishmania infantum vector species under climate change scenarios in Colombia. Acta Trop. 2014; 129: 83-90. doi: 10.1016/j.actatropica.2013.08.014 PMID: 23988300
91. Dorval MEC, Alves TP, Cristaldo G, da Rocha HC, Alves MA, Oshiro ET, et al. Sand fly captures with Disney traps in area of occurrence of Leishmania (Leishmania) amazonensis in the State of Mato Grosso do Sul, mid-western Brazil. Rev Soc Bras Med Trop. 2010; 43(5): 491-495. doi: 10.1590/S0037-86822010000500003 PMID: 21085855
92. Dorval MEC, Cristaldo G, Rocha HC, Alves TP, Alves MA, Oshiro ET, et al. Phlebotomine fauna (Diptera: Psychodidae) of an American cutaneous leishmaniasis endemic area in the state of Mato Grosso do Sul, Brazil. Mem Inst Oswaldo Cruz. 2009; 104(5): 695-702. doi: 10.1590/S0074-02762009000500005 PMID: 19820827
93. Rado Covarrubias CD. Estudos sobre os flebotomíneos (Diptera: Psychodidae: Phlebotominae) e os potenciais vetores de Leishmania spp. na província de La Convención, Cusco, Perú. M.Sc. Thesis, Instituto Oswaldo Cruz. 2011. Available: http://www.arca.fiocruz.br.
94. Kato H, Calvopiña M, Criollo H, Hashiguchi Y. First human cases of Leishmania (Viannia) naiffi infection in Ecuador and identification of its suspected vector species. Acta Trop. 2013; 128: 710-713. doi: 10.1016/j.actatropica.2013.09.001 PMID: 24044975
95. Rodrigues EAZ, Andrade Filho JD, Limongi JE, Paula MBC. Sandfly fauna (Diptera: Psychodidae) in Parque do Sabiá complex, Uberlândia, Minas Gerais, Brazil. Rev Inst Med Trop Sao Paulo. 2011; 53 (5): 255-258. doi: 10.1590/S0036-46652011000500003 PMID: 22012450
96. Galati EAB, Nunes VLB, Boggiani PC, Dorval MEC, Cristaldo G, Rocha HC, et al. Phlebotomines (Diptera: Psychodidae) in forested areas of the Serra da Bodoquena, state of Mato Grosso do Sul, Brazil. Mem Inst Oswaldo Cruz. 2006; 101(2): 175-193. doi: 10.1590/S0074-02762006000200010 PMID: 16830711
97. Queiroz MFM, Varjão JR, de Moraes SC, Salcedo GE. Analysis of sandflies (Diptera: Psychodidae) in Barra do Garças, State of Mato Grosso, Brazil, and the influence of environmental variables on the vector density of Lutzomyia longipalpis (Lutz & Neiva, 1912). Rev Soc Bras Med Trop. 2012; 45 (3):313-317. doi: 10.1590/S0037-86822012000300007 PMID: 22760128
98. Oliveira AG, Andrade Filho JD, Falcão AL, Brazil RP. Estudo de flebotomíneos (Diptera, Psychodidae, Phlebotominae) na zona urbana da Cidade de Campo Grande, Mato Grosso do Sul, Brasil, 1999-2000. Cad Saude Publica. 2003; 19(4): 933-944. doi: 10.1590/S0102-311X2003000400016 PMID: 12973559
99. Franke CR, Ziller M, Staubach C, Latif M. Impact of the El Niño/Southern Oscillation on visceral leishmaniasis, Brazil. Emerg Infect Dis. 2002; 8(9): 914-917. doi: 10.3201/eid0809.010523 PMID: 12194766
100. Chaves LF, Pascual M. Climate cycles and forecasts of cutaneous leishmaniasis, a nonstationary vector-borne disease. PLoS Med. 2006; 3(8): e295. doi: 10.1371/journal.pmed.0030295 PMID: 16903778
101. Cardenas R, Sandoval CM, Rodríguez-Morales AJ, Franco-Paredes C. Impact of climate variability in the occurrence of leishmaniasis in northeastern Colombia. Am J Trop Med Hyg. 2006; 75(2): 273-277. PMID: 16896132
102. Cardenas R, Sandoval CM, Rodríguez-Morales AJ, Vivas P. Zoonoses and climate variability. The example of leishmaniasis in Southern departments of Colombia. Ann N Y Acad Sci. 2008; 1149: 326-330. doi: 10.1196/annals.1428.094 PMID: 19120241
103. Bates PA, Depaquit J, Galati EAB, Kamhawi S, Maroli M, McDowell MA, et al. Recent advances in phlebotomine sand fly research related to leishmaniasis control. Parasit Vectors. 2015; 8:131. doi: 10.1186/s13071-015-0712-x PMID: 25885217
104. Dias ES, Regina-Silva S, França-Silva JC, Paz GF, Michalsky EM, Araújo SC, et al. Eco-epidemiology of visceral leishmaniasis in the urban area of Paracatu, state of Minas Gerais, Brazil. Vet Parasitol. 2011; 176: 101-111. doi: 10.1016/j.vetpar.2010.11.014
105. Tolezano JE, Uliana SRB, Taniguchi HH, Araújo MFL, Barbosa JAR, Barbosa JER, et al. The first records of Leishmania (Leishmania) amazonensis in dogs (Canis familiaris) diagnosed clinically as having canine visceral leishmaniasis from Araçatuba County, São Paulo State, Brazil. Vet Parasitol. 2007; 149: 280-284. doi: 10.1016/j.vetpar.2007.07.008 PMID: 17720321
106. Hashiguchi Y, Chiller T, Inchausti A, Arias A, Kawabata M, Alexander B. Phlebotomine sandfly species in Paraguay and their infection with Leishmania. Ann Trop Med Parasitol. 1992; 86(2): 175-180. PMID: 1417209
107. Perez JE, Veland N, Espinosa D, Torres K, Ogusuku E, Llanos-Cuentas A, et al. Isolation and molecular identification of Leishmania (Viannia) peruviana from naturally infected Lutzomyia peruensis (Diptera: Psychodidae) in the Peruvian Andes. Mem Inst Oswaldo Cruz. 2007; 102(6): 655-658. doi: 10. 1590/S0074-02762007005000077
108. Gomez EA, Kato H, Mimori T, Hashigichi Y. Distribution of Lutzomyia ayacuchensis, the vector of Andean-type cutaneous leishmaniasis, at different altitudes on the Andean slope of Ecuador. Acta Trop. 2014; 137: 118-122. doi: 10.1016/j.actatropica.2014.05.006 PMID: 24856579
109. Carvalho BM, Dias CMG, Rangel EFR. Phlebotomine sand flies (Diptera, Psychodidae) from Rio de Janeiro State, Brazil: Species distribution and potential vectors of leishmaniases. Rev Bras Entomol. 2014; 58(1): 77-87. doi: 10.1590/S0085-56262014000100013