Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 8, Number 7—July 2002
Research

Ecologic Niche Modeling and Potential Reservoirs for Chagas Disease, Mexico.

A. Townsend Peterson*Comments to Author , Victor Sánchez-Cordero†, Charles Ben Beard‡, and Janine M. Ramsey§
Author affiliations: *Natural History Museum, Lawrence, Kansas, USA; †Universidad Nacional Autónoma de México, D.F., México; ‡Centers for Disease Control and Prevention, Atlanta, Georgia, USA; §and Centro de Investigaciones sobre Enfermedades Infecciosas (CISEI), Cuernavaca, Morelos, México

Main Article

Table

Distribution of the six species of the protracta complex and nine species of Neotoma found in mainland Mexicoa

 Distribution % of triatomine overlapping Neotoma
N. phenax N. palatina N. micropus N. mexicana N. lepida N. goldmani N. fuscipes N. angustapalata N. albigula n
Triatoma barberi
 0.0
 2.5
 45.1
 98.4
 0.0
 0.1
 0.0
 0.0
 30.0
 86
T. sinaloensis
 95.5
 0.0
 50.8
 51.5
 0.0
 0.0
 0.0
 0.0
 0.0
 9
T. peninsularis
 0.0
 0.0
 0.0
 9.0
 93.8
 0.0
 82.0
 0.0
 1.7
 9
T. p. woodi
 0.0
 0.0
 94.6
 50.0
 0.0
 33.3
 0.0
 0.0
 96.1
 7
T. p. protracta
 4.4
 0.0
 6.9
 9.2
 24.4
 0.0
 39.3
 0.0
 14.1
 13
T. p. zacatecensis
 0.0
 0.0
 100.0
 100.0
 0.0
 24.3
 0.0
 0.0
 100.0
 9
Points available 31 5 69 103 16 13 4 5 156

aShown in bold are Neotoma species independently identified as hosts for particular Triatoma species (1). Distributions are to the highest confidence interval.

Main Article

References
  1. Ryckman  RE. Biosystematics and hosts of the Triatoma protracta complex in North America (Hemiptera: Reduviidae) (Rodentia: Cricetidae). University of California Publications in Entomology. 1962;27:93–240.
  2. Lent  H, Wygodzinsky  P. Revision of the Triatominae (Hemiptera: Reduviidae) and their significance as vectors of Chagas disease. Bull Am Mus Nat Hist. 1979;163:125–520.
  3. Peterson  AT, Stockwell  DRB, Kluza  DA. Distribution prediction based on ecologic niche modeling of primary occurrence data. In: Scott JM, editor. Predicting species occurrences: issues of scale and accuracy. Washington: Island Press; 2001.
  4. MacArthur  RH. Geographical ecology. Princeton (NJ): Princeton University Press; 1972.
  5. Gomez-Torres  R, Rodríguez-Vázquez  ML, Mooser-Barandum  O, Ramirez-Isunza  JM. Enfermedad de Chagas en el estado de Aguascalientes. Arch Inst Cardiol Mex. 1983;53:139–42.PubMedGoogle Scholar
  6. Magallon-Gastélum  E, Magdaleno-Peñaloza  NC, Katthain-Duchateau  G, Trujillo-Contreras  F, Lozano-Kasten  FJ, Hernández-Gutiérrez  RJ. Distribución de los vectores de la enfermedad de Chagas (Hemiptera: Reduviidae: Triatominae), en el estado de Jalisco, México. Revista Biomedica. 1998;9:151–7.
  7. Ramsey  J, Ordoñez  R, Cruz-Celis  A, Alvear  A, Chavez  V, Lopez  R, Distribution of domestic Triatominae and stratification of Chagas disease transmission in Oaxaca, México. Med Vet Entomol. 2000;14:19–30. DOIPubMedGoogle Scholar
  8. Rojas  JC, Malo  EA, Espinoza-Medinilla  E, Ondarza  RN. Sylvatic focus of Chagas disease in Oaxaca, Mexico. Ann Trop Med Parasitol. 1989;83:115–20.PubMedGoogle Scholar
  9. Tay  J. La enfermedad de Chagas en la República Mexicana. Revista Salud Pública de Mexico. 1980;22:409–50.
  10. Zarate  LG, Zarate  RJ. A checklist of the Triatominae (Hemiptera: Reduvidae) of Mexico. International Journal of Entomology. 1985;27:102–27.
  11. Vidal-Acosta  V, Ibañez-Bernal  S, Martínez-Campos  C. Infección natural de chinches Triatominae con Trypanosoma cruzi asociadas a la vivienda humana en México. Salud Publica Mex. 2000;42:496–503. DOIPubMedGoogle Scholar
  12. Hall  ER. The mammals of North America, vol. 2. New York: Wiley & Sons; 1981.
  13. Stockwell  DRB. Genetic algorithms II. In: Fielding AH, editor. Machine learning methods for ecologic applications. Boston: Kluwer Academic Publishers; 1999. p. 123–44.
  14. Stockwell  DRB, Noble  IR. Induction of sets of rules from animal distribution data: a robust and informative method of analysis. Math Comput Simul. 1992;33:385–90. DOIGoogle Scholar
  15. Stockwell  DRB, Peters  DP. The GARP modelling system: problems and solutions to automated spatial prediction. Int J Geogr Inf Sci. 1999;13:143–58. DOIGoogle Scholar
  16. Grinnell  J. Field tests of theories concerning distribution control. Am Nat. 1917;51:115–28. DOIGoogle Scholar
  17. Peterson  AT, Cohoon  KC. Sensitivity of distribution prediction algorithms to geographic data completeness. Ecol Modell. 1999;117:159–64. DOIGoogle Scholar
  18. Peterson  AT, Soberon  J, Sánchez-Cordero  V. Conservatism of ecologic niches in evolutionary time. Science. 1999;285:1265–7. DOIPubMedGoogle Scholar
  19. Peterson  AT, Vieglais  DA. Predicting species invasions using ecologic niche modeling. Bioscience. 2001;51:363–71. DOIGoogle Scholar
  20. Peterson  AT. Predicting species’ distributions based on ecologic niche modeling. Condor. 2001;103:599–605. DOIGoogle Scholar
  21. Peterson  AT, Ball  LG, Cohoon  KC. Predicting distributions of tropical birds. Ibis. 2002. In press.
  22. Stockwell  DRB, Peterson  AT. Controlling bias in biodiversity data. In: Scott JM, editor. Predicting species occurrences: issues of scale and accuracy. Washington: Island Press. In press 2001.
  23. Feria  ATP, Peterson  AT. Prediction of bird community composition based on point-occurrence data and inferential algorithms: a valuable tool in biodiversity assessments. Divers Distrib. 2002;8:49–56. DOIGoogle Scholar
  24. Peterson  AT, Sánchez-Cordero  V, Soberón  J, Bartley  J, Buddemeier  RW, Navarro-Sigüenza  AG. Effects of global climate change on geographic distributions of Mexican Cracidae. Ecol Modell. 2001;144:21–30. DOIGoogle Scholar
  25. Peterson  AT, Ortega-Huerta  M, Bartley  J, Sánchez-Cordero  V, Soberón  J, Buddemeier  RH, Biodiversity consequences of global climate change in Mexico. Nature. 2002. In press.PubMedGoogle Scholar

Main Article

Page created: July 16, 2010
Page updated: July 16, 2010
Page reviewed: July 16, 2010
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external