Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: Ecological niche models, predicted geographic distributions, and climate change effects

International Journal for Parasitology

Volumn 33, Issue 9, 2003, Pages 919-931

  Peterson, A Townsend ^a   Shaw, Jeffrey ^b  

^a UNIVERSITY OF KANSAS   (United States)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Climate change; Ecological niche modelling; Genetic algorithm for rule set prediction; Leishmania; Leishmaniasis; Lutzomyia

Indexed keywords

CLIMATE CHANGE; DISEASE VECTOR; GEOGRAPHICAL DISTRIBUTION; NICHE;

ARTICLE; BRAZIL; CLIMATE CHANGE; CONTROLLED STUDY; ECOLOGICAL NICHE; ENVIRONMENTAL CHANGE; GEOGRAPHIC DISTRIBUTION; INFORMATION PROCESSING; LEISHMANIASIS; NONHUMAN; PARASITE VECTOR; PREDICTION; PSYCHODIDAE; RANDOMIZATION; STATISTICAL ANALYSIS;

(SOUTH); BRAZIL;

LUTZOMYIA INTERMEDIA; LUTZOMYIA MIGONEI; LUTZOMYIA WHITMANI; PHLEBOTOMINAE;

EID: 0142029119     PISSN: 00207519     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-7519(03)00094-8     Document Type: Article

References (84)

1. Anderson R.P., Laverde M., Peterson A.T. Geographical distributions of spiny pocket mice in South America: insights from predictive models. Glob. Ecol. Biogeogr. 11:2002;131-141.
2. Anderson R.P., Laverde M., Peterson A.T. Using niche-based GIS modelling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice. Oikos. 93:2002;3-16.
3. Anderson R.P., Lew D., Peterson A.T. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecol. Mod. 162:2003;211-232.
4. Andrade Filho J.D., Valente M.B., de Andrade W.A., Brazil R.P., Falcao A.L. Flebotomíneos do Estado de Tocantins, Brasil (Diptera, Psychodidae). Rev. Soc. Bras. Med. Trop. 34:2001;323-329.
5. Ashford R.W. The leishmaniases as emerging and reemerging zoonoses. Int. J. Parasitol. 30:2000;1269-1281.
6. Austin M.P., Nicholls A.O., Margules C.R. Measurement of the realised qualitative niche: environmental niches of five Eucalyptus species. Ecol. Monogr. 60:1990;161-177.
7. Bakkenes M., Alkemade J.R.M., Ihle F., Leemansand R., Latour J.B. Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Glob. Change Biol. 8:2002;390-407.
8. Brandão-Filho S.P., Campbell-Lendrum D., Brito M.E., Shaw J.J., Davies C.R. Epidemiological surveys confirm an increasing burden of cutaneous leishmaniasis in North-East Brazil. Trans. R. Soc. Trop. Med. Hyg. 93:1999;488-494.
9. Brown J.H., Valone T.J., Curtin C.G. Reorganisation of an arid ecosystem in response to recent climate change. Proc. Nat. Acad. Sci. USA. 94:1997;9729-9733.
10. Camargo-Neves V.L., Gomes Ade C., Antunes J.L. Correlação da presença de espécies de flebotomíneos (Diptera: Psychodidae) com registros de casos da leishmaniose tegumentar americana no Estado de São Paulo, Brasil. Rev. Soc. Bras. Med. Trop. 35:2002;299-306.
11. Campbell-Lendrum D., Pinto M.C., Davies C. Is Lutzomyia intermedia (Lutz & Neiva, 1912) more endophagic than Lutzomyia whitmani (Antunes & Coutinho, 1939) because it is more attracted to light? Mem. Inst. Oswaldo Cruz. 94:1999;21-22.
12. Campbell-Lendrum D., Dujardin J.P., Martinez E., Feliciangeli M.D., Perez J.E., Silans L.N., Desjeux P. Domestic and peridomestic transmission of American cutaneous leishmaniasis: changing epidemiological patterns present new control opportunities. Mem. Inst. Oswaldo Cruz. 96:2001;159-162.
13. Carson D.J. Climate modelling: achievements and prospects. Q. J. Roy. Meteorol. Soc. 125:1999;1-27.
14. Costa J., Peterson A.T., Beard C.B. Ecological niche modelling and differentiation of populations of Triatoma brasiliensis Neiva, 1911, the most important Chagas disease vector in north-eastern Brazil (Hemipter, Reduviidae, Triatominae). Am. J. Trop. Med. Hyg. 67:2002;516-520.
15. Cross E.R., Hyams K.C. The potential effect of global warming on the geographic and seasonal distribution of Phebotomus papatasi in southwest Asia. Environ. Health Persp. 104:1996;724-727.
16. Csuti B. Mapping animal distribution areas for gap analysis. Scott J.M., Tear T.H., Davis F.W. Gap Analysis: A Landscape Approach to Biodiversity Planning. 1996;135-145 American Society for Photogrammetry and Remote Sensing, Bethesda, MD.
17. da Silva O.S., Grunewald J. Contribution to the sand fly fauna (Diptera: Phlebotominae) of Rio Grande do Sul, Brazil and Leishmania (Viannia) infections. Mem. Inst. Oswaldo Cruz. 94:1999;579-582.
18. Davis A.J., Jenkinson L.S., Lawton J.H., Shorrocks B., Wood S. Making mistakes when predicting shifts in species range in response to global warming. Nature. 391:1998;783-786.
19. de Queiroz R.G., Vasconcelos I.A., Vasconcelos A.W., Pessoa F.W., de Sousa R.N., David J.R. Cutaneous leishmaniasis in Ceará State in north-eastern Brazil: incrimination of Lutzomyia whitmani (Diptera: Psychodidae) as a vector of Leishmania braziliensis in Baturiti municipality. Am. J. Trop. Med. Hygiene. 50:1994;693-698.
20. Erasmus B.F.N., Van Jaarsveld A.S., Chown S.L., Kshatriya M., Wessels K.J. Vulnerability of South African animal taxa to climate change. Glob. Change Biol. 8:2002;679-693.
21. Feria T.P., Peterson A.T. Using point occurrence data and inferential algorithms to predict local communities of birds. Div. Distr. 8:2002;49-56.
22. Franke C.R., Ziller M., Staubach C., Latif M. Impact of the El Niño/Southern Oscillation on visceral leishmaniasis, Brazil. Emerging Inf. Dis. 8:2002;914-917.
23. Galati E.A., Nunes V.L., Dorval M.E., Cristaldo G., Rocha H.C., Goncalves-Andrade R.M. Attractive of black Shannon trap for phlebotomines. Mem. Inst. Oswaldo Cruz. 96:2001;641-647.
24. Gomes A.C., Barata J.M., Rocha e Silva E.O., Galati E.A. Aspectos ecologicos da leishmaniose tegumentar americana. 7 Capacidade vetorial flebotominea em ambiente florestal primario do sistema da Serra do Mar, região do Vale do Ribeira, Estado de São Paulo, Brasil. Rev. Inst. Med. Trop. Sao Paulo. 31:1989;32-39.
25. Gottfried M., Pauli H., Reiter K., Grabherr G. A fine-scaled predictive model for changes in species distribution patterns of high mountain plants induced by climate warming. Div. Distr. 5:1999;241-251.
26. Grinnell J. Field tests of theories concerning distributional control. Am. Nat. 51:1917;115-128.
27. Grisard E.C., Steindel M., Shaw J.J., Ishikawa E.A., Carvalho-Pinto C.J., Eger-Mangrich I., Toma H.K., Lima J.H., Romanha A.J., Campbell D.A. Characterisation of Leishmania sp. strains isolated from autochthonous cases of human cutaneous leishmaniasis in Santa Catarina State, Southern Brazil. Acta Trop. 74:2000;89-93.
28. Haxeltine A., Prentice I.C. BIOME3: an equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability and competition among plant functional types. Glob. Biogeochem. Cycles. 10:1996;693-709.
29. Hay S.I., Myers M.F., Maynard N., Rogers D.J. From remote sensing to relevant sensing in human health. Photogram. Eng. Rem. Sens. 68:2002;109-111.
30. Holt R.D., Gaines M.S. Analysis of adaptation in heterogeneous landscapes: implications for the evolution of fundamental niches. Evol. Ecol. 6:1992;433-447.
31. Hutchinson G.E. Concluding remarks. Cold Spring Harbor Symp. Quant. Biol. 22:1957;415-427.
32. Ishikawa E.A., Ready P.D., de Sousa A.A., Day J.C., Rangel E.F., Davies C.R., Shaw J.J. A mitochondrial DNA phylogeny indicates close relationships between populations of Lutzomyia whitmani (Diptera; Psychodidae, Phlebotominae) from the rain-forest regions of Amazônia and northeast Brazil. Mem. Inst. Oswaldo Cruz. 94:1999;339-345.
33. Kadmon R., Heller J. Modelling faunal responses to climatic gradients with GIS: land snails as a case study. J. Biogeogr. 25:1998;527-539.
34. Karl T.R., Knight R.W., Easterling D.R., Quayle R.G. Indices of climate change for the United States. Bull. Am. Meteorol. Soc. 77:1996;279-292.
35. Kovats R.S., Campbell-Lendrum D., McMichael A.J., Woodward A., Cox J.S. Early effects of climate change: do they include changes in vector-borne disease? Phil. Trans. R. Soc. Lond. B. 356:2001;1057-1068.
36. Kuhn K.G. Global warming and leishmaniasis in Italy. Bull. Trop. Med. Inter. Health. 7:1999;1-2.
37. Lainson R., Shaw J.J. Evolution, classification and geographic distribution. Peters W., Killick-Kendrick R. The Leishmaniases in Biology and Medicine. Biology and Epidemiology. 1:1987;Academic Press, Inc, London.
38. MacArthur R. Geographical Ecology. 1972;Princeton University Press, Princeton, NJ.
39. Magnuson J. 150-year global ice record reveals major warming trend. Inter-Am. Inst. Glob. Change Res. 24:2001;22-25.
40. Manel S., Dias J.M., Buckton S.T., Ormerod S.J. Alternative methods for predicting species distribution: an illustration with Himalayan river birds. J. Appl. Ecol. 36:1999;734-747.
41. Manel S., Dias J.M., Ormerod S.J. Comparing discriminant analysis, neural networks, and logistic regression for predicting species distributions: a case study with a Himalayan river bird. Ecol. Mod. 120:1999;337-347.
42. Marcondes C.B., Day J.C., Ready P.D. Introgression between Lutzomyia intermedia and both Lu. neivai and Lu. whitmani, and their roles as vectors of Leishmania braziliensis. Trans. R. Soc. Trop. Med. Hygiene. 91:1997;725-726.
43. Martins A.V., Williams P., Falcão A.L. American Sandflies. 1978;Acadêmia Brasileira de Ciências, Rio de Janeiro.
44. Mayo R.C., Casanova C., Mascarini L.M., Pignatti M.G., Rangel O., Galati E.A., Wanderley D.M., Correa F.M. Flebotomíneos (Diptera, Psychodidae) de uma área de transmissão de leishmaniose tegumentar americana, no município de Itupeva, região sudeste do Estado de São Paulo, Brasil. Rev. Soc. Bras. Med. Trop. 31:1998;339-345.
45. Miller R.I. Mapping the Diversity of Nature. 1994;Chapman & Hall, London.
46. New M., Hulme M., Jones P. A 1961-1990 Mean Monthly Climatology of Global Land Areas. 1997;Climatic Research Unit, University of East Anglia, Norwich, UK.
47. Nix H.A. A biogeographic analysis of Australian elapid snakes. Longmore R. Atlas of Elapid Snakes of Australia. 1986;4-15 Australian Government Publishing Service, Canberra.
48. Passos V.M., Falcão A.L., Marzochi M.C., Gontijo C.M., Dias E.S., Barbosa-Santos E.G., Guerra H.L., Katz N. Epidemiological aspects of American cutaneous leishmaniasis in a periurban area of the metropolitan region of Belo Horizonte, Minas Gerais, Brazil. Mem. Inst. Oswaldo Cruz. 88:1993;103-110.
49. Patz J.A., Graczyk T.K., Geller N., Vittor A.Y. Effects of environmental change on emerging parasitic diseases. Int. J. Parasitol. 30:2000;1395-1405.
50. Pereira G.F.M., Fonseca H.H.R. Leishmaniose tegumentar americana: epidemiologia e controle. Rev. Soc. Bras. Med. Trop. 27:(Suppl. III):1994;45-50.
51. Peterson A.T. Predicting species' geographic distributions based on ecological niche modelling. Condor. 103:2001;599-605.
52. Peterson A.T., Cohoon K.C. Sensitivity of distributional prediction algorithms to geographic data completeness. Ecol. Mod. 117:1999;159-164.
53. Peterson A.T., Vieglais D.A. Predicting species invasions using ecological niche modelling. BioScience. 51:2001;363-371.
54. Peterson A.T., Soberon J., Sanchez-Cordero V. Conservatism of ecological niches in evolutionary time. Science. 285:1999;1265-1267.
55. Peterson A.T., Sanchez-Cordero V., Soberon J., Bartley J., Buddemeier R.H., Navarro-Siguenza A.G. Effects of global climate change on geographic distributions of Mexican Cracidae. Ecol. Mod. 144:2001;21-30.
56. Peterson A.T., Ball L.G., Cohoon K.C. Predicting distributions of tropical birds. Ibis. 144:2002;e27-e32.
57. Peterson A.T., Ortega-Huerta M.A., Bartley J., Sanchez-Cordero V., Soberon J., Buddemeier R.H., Stockwell D.R.B. Future projections for Mexican faunas under global climate change scenarios. Nature. 416:2002;626-629.
58. Peterson A.T., Sanchez-Cordero V., Beard C.B., Ramsey J.M. Ecologic niche modelling and potential reservoirs for Chagas disease, Mexico. Emerg. Inf. Dis. 8:2002;662-667.
59. Peterson A.T., Stockwell D.R.B., Kluza D.A. Distributional prediction based on ecological niche modelling of primary occurrence data. Scott J.M., Heglund P.J., Morrison M.L. Predicting Species Occurrences: Issues of Scale and Accuracy. 2002;617-623 Island Press, Washington, DC.
60. Price J. Modelling the potential impacts of climate change on the summer distributions of Massachusetts passerines. Bird Obs. 28:2000;224-230.
61. Rawlins S.C., Tiwari T., Chadee D.D., Validum L., Alexander H., Nazeer R., Rawlins S.R. American cutaneous leishmaniasis in Guyana, South America. Ann. Trop. Med. Parasitol. 95:2001;245-251.
62. Rebelo J.M., de Oliveira S.T., Silva F.S., Barros V.L., Costa J.M. Sandflies (Diptera: Psychodidae) of the Amazonia of Maranhao. V. Seasonal occurrence in ancient colonisation area and endemic for cutaneous leishmaniasis. Braz. J. Biol. 61:2001;107-115.
63. Sampaio L.F. O aparecimento, a expansão e o fim da leishmaniose no Estado de São Paulo. Rev. Bras. Med. 8:1951;717-721.
64. Scott J.M., Davis F., Csuti B., Noss R., Butterfield B., Groves C., Anderson H., Caicco S.L., D'Ericha F., Edwards T.C. Jr, Ullman J., Wright R.G. Gap analysis: a geographic approach to the protection of biological diversity. Wildl. Monogr. 23:1993;1-41.
65. Scott J.M., Tear T.H., Davis F.W. Gap Analysis: A Landscape Approach to Biodiversity Planning. 1996;American Society for Photogrammetry and Remote Sensing, Bethesda, MD.
66. Scott J.M., Heglund P.J., Morrison M.L. Predicting Species Occurrences: Issues of Accuracy and Scale. 2002;Island Press, Washington, DC.
67. Shaw J.J. The relationship of sand fly ecology to the transmission of leishmaniasis in South America with particular reference to Brazil. Burger J. Contributions to the Knowledge of Diptera. 1999;503-517 Associated Publishers, Gainesville, FL.
68. Siqueira, M.F.D., Peterson, A.T., 2003. Global climate change consequences for cerrado tree species. Biota Neotrop, In Press.
69. Sosa-Estani S., Segura E.L., Gómez A., Salomón O.D., Peralta M., Coutada V., Ruiz L.M. Leishmaniose cutânea no norte da Argentina: fatores de risco identificados num estudio caso-corte em três municípios de Salta. Rev. Soc. Bras. Med. Trop. 34:2001;?
70. Stockwell D.R.B. Genetic algorithms II. Fielding A.H. Machine Learning Methods for Ecological Applications. 1999;123-144 Kluwer Academic Publishers, Boston.
71. Stockwell D.R.B., Noble I.R. Induction of sets of rules from animal distribution data: a robust and informative method of analysis. Math. Comp. Simul. 33:1992;385-390.
72. Stockwell D.R.B., Peters D.P. The GARP modelling system: problems and solutions to automated spatial prediction. Int. J. Geogr. Inf. Syst. 13:1999;143-158.
73. Stockwell D.R.B., Peterson A.T. Controlling bias in biodiversity data. Scott J.M., Heglund P.J., Morrison M.L. Predicting Species Occurrences: Issues of Scale and Accuracy. 2002;537-546 Island Press, Washington, DC.
74. Stockwell D.R.B., Peterson A.T. Effects of sample size on accuracy of species distribution models. Ecol. Mod. 148:2002;1-13.
75. Stone T.A., Schlesinger P., Houghton R.A., Woodwell G.M. A map of the vegetation of South America based on satellite imagery. Photogr. Eng. Rem. Sens. 60:1994;541-551.
76. Teodoro U., La Salvia Filho V., de Lima E.M., Spinosa R.P., Barbosa O.C., Ferreira M.E., Lonardoni M.V. Observações sobre o comportamento de flebotomíneos em ecotopos florestais e extraflorestais, em area endemica de leishmaniose tegumentar americana, no norte de Estado do Paraná, sul de Brasil. Rev. Saude Publ. 27:1993;242-249.
77. Teodoro U., Külh J.B., Santos D.R., Santos S. Impacto de alterações ambientais na ecologia de flebotomíneos no sul do Brasil. Cad. Saude Publ. 15:1999;901-906.
78. Thomson M.C., Elnaiem D.A., Ashford R.W., Connor S.J. Towards a kala azar risk map for Sudan: mapping the potential distribution of Phlebotomus orientalis using digital data of environmental variables. Trop. Med. Int. Health. 4:1999;105-113.
79. Tolezano J.E. Ecoepidemiological aspects of American cutaneous leishmaniasis in the state of São Paulo, Brazil. Mem. Inst. Oswaldo Cruz. 89:1994;427-434.
80. Tucker K., Rushton S.P., Sanderson R.A., Martin E.B., Blaiklock J. Modeling bird distributions - a combined GIS and Bayesian rule-based approach. Landsc. Ecol. 12:1997;77-93.
81. Walker P.A., Cocks K.D. HABITAT: a procedure for modelling a disjoint environmental envelope for a plant or animal species. Glob. Ecol. Biogeogr. Lett. 1:1991;108-118.
82. Walsh J.F., Molyneaux D.H., Birley M.H. Deforestation: effects on vector-borne disease. Parasitology. 106:1993;S55-S75.
83. Control of the leishmaniasis: report of a WHO expert committee. WHO Tech. Rep. Ser. 793:1990;1-158.
84. Young D.G., Duncan M.A. Guide to the Identification and Geographic Distribution of Lutzomyia Sand Flies in Mexico, the West Indies, Central and South America (Diptera: Psychodidae). 1994;Memoirs of the American Entomological Institute Associated Publishers, Gainesville, FL.