Spatial heterogeneity of climate and land-cover constraints on distributions of tick-borne pathogens

Global Ecology and Biogeography

Volumn 17, Issue 2, 2008, Pages 189-202

  Wimberly, Michael C ^a   Yabsley, Michael J ^b   Baer, Adam D ^a   Dugan, Vivien G ^b   Davidson, William R ^b  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

Anaplasma phagocytophilum; Climate; Ehrlichia chaffeensis; Geographically weighted regression; Land cover; Local spatial analysis; Species range models; Tick borne disease

Indexed keywords

CLIMATE CHANGE; CLIMATE EFFECT; CLUSTER ANALYSIS; ENVIRONMENTAL CONSTRAINT; ENVIRONMENTAL FACTOR; GEOGRAPHICAL DISTRIBUTION; HETEROGENEITY; LAND COVER; LAND USE CHANGE; PATHOGEN; REGRESSION ANALYSIS; SPATIAL ANALYSIS; SPATIAL VARIATION; TICK;

ANAPLASMA PHAGOCYTOPHILUM; CERVIDAE; EHRLICHIA CHAFFEENSIS; IXODIDA; ODOCOILEUS VIRGINIANUS;

EID: 38949089646     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/j.1466-8238.2007.00353.x     Document Type: Article

References (61)

1. Anselin, L. (1988) Spatial econometrics: Methods and models. Kluwer Academic Publishers, Dordrecht.
2. Atkinson, P.M., German, S.E., Sear, D.A. & Clark, M.J. (2003) Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression. Geographical Analysis, 35, 58-82.
3. Bickford, S.A. & Laffan, S.W. (2006) Multi-extent analysis of the relationship between pteridophyte species richness and climate. Global Ecology and Biogeography, 15, 588-601.
4. Bloemer, S.R., Zimmerman, R.H. & Fairbanks, K. (1988) Abundance, attachment sites, and density estimators of lone star ticks (Acari: Ixodidae) infesting white-tailed deer. Journal of Medical Entomology, 25, 295-300.
5. Brownstein, J.S., Holford, T.R. & Fish, D. (2003) A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States. Environmental Health Perspectives, 111, 1152-1157.
6. Brownstein, J.S., Holford, T.R. & Fish, D. (2005) Effect of climate change on Lyme disease risk in North America. EcoHealth, 2, 38-46.
7. Burnham, K.P. & Anderson, D.R. (2002) Model selection and multimodel inference: A practical information-theoretic approach. Springer-Verlag, New York.
8. Charlton, M., Fotheringham, A.S. & Brunsdon, C. (2003) GWR 3.0.1: software for geographically weighted regression. Department of Geography, University of Newcastle upon Tyne, Newcastle upon Tyne.
9. Childs, J.E. & Paddock, C.D. (2003) The ascendancy of Amblyomma americanum as a vector of pathogens affecting humans in the United States. Annual Review of Entomology, 48, 307-337.
10. Cumming, G.S. (1999) Host distributions do not limit the species ranges of most African ticks (Acari: Ixodida). Bulletin of Entomological Research, 89, 303-327.
11. Cumming, G.S. (2000) Using habitat models to map diversity: Pan-African species richness of ticks (Acari: Ixodida). Journal of Biogeography, 27, 425-440.
12. Cumming, G.S. (2002) Comparing climate and vegetation as limiting factors for species ranges of African ticks. Ecology, 83, 255-268.
13. Daniel, M., Kolar, J., Zeman, P., Pavelka, K. & Sadlo, J. (1998) Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data. Experimental & Applied Acarology, 22, 417-433.
14. Davidson, W.R., Siefken, D.A. & Creekmore, L.H. (1994) Seasonal and annual abundance of Amblyomma americanum (Acari: Ixodidae) in central Georgia. Journal of Medical Entomology, 31, 67-71.
15. Dugan, V.G., Yabsley, M.J., Tate, C.M., Mead, D.G., Munderloh, U.G., Herron, M.J., Stallknecht, D.E., Little, S.E. & Davidson, W.R. (2006) Evaluation of white-tailed deer (Odocoileus virginianus) as natural sentinels for Anaplasma phagocytophilum. Vector-Borne and Zoonotic Diseases, 6, 192-207.
16. Estrada-Peña, A. (1998) Geostatistics and remote sensing as predictive tools of tick distribution: A cokriging system to estimate Ixodes scapularis (Acari: Ixodidae) habitat suitability in the United States and Canada from advanced very high resolution radiometer satellite imagery. Journal of Medical Entomology, 35, 989-995.
17. Foody, G.M. (2004) Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna. Global Ecology and Biogeography, 13, 315-320.
18. Fotheringham, A.S., Brunsdon, C. & Charlton, M. (2002) Geographically weighted regression: The analysis of spatially varying relationships. John Wiley & Sons, Hoboken, NJ.
19. Fotheringham, A.S., Charlton, M. & Brunsdon, C. (1996) The geography of parameter space: An investigation of spatial non-stationarity. International Journal of Geographical Information Science, 10, 605-627.
20. Gaston, K.J. (2003) The structure and dynamics of geographic ranges. Oxford University Press, Oxford.
21. Gavin, D.G. & Feng, S.H. (2006) Spatial variation of climatic and non-climatic controls on species distribution: The range limit of Tsuga heterophylla. Journal of Biogeography, 33, 1384-1396.
22. Glassy, J.M. & Running, S.W. (1994) Validating diurnal climatology logic of the MT-CLIM model across a climatic gradient in Oregon. Ecological Applications, 4, 248-257.
23. Guernier, V., Hochberg, M.E. & Guégan, J.-F. (2004) Ecology drives the worldwide distribution of human diseases. PLoS Biology, 2, 740-746.
24. Harrus, S. & Baneth, G. (2005) Drivers for the emergence and re-emergence of vector-borne protozoal and bacterial diseases. International Journal for Parasitology, 35, 1309-1318.
25. Hofmeister, E.K., Ellis, B.A., Glass, G.E. & Childs, J.E. (1999) Longitudinal study of infection with Borrelia burgdorferi in a population of Peromyscus leucopus at a Lyme disease-enzootic site in Maryland. American Journal of Tropical Medicine and Hygiene, 60, 598-609.
26. Hugh-Jones, M., Barre, N., Nelson, G., Wehnes, K., Warner, J., Garvin, J. & Garris, G. (1992) Landsat-TM identification of Amblyomma variegatum (Acari: Ixodidae) habitats in Guadeloupe. Remote Sensing of Environment, 40, 43-55.
27. Iverson, L.R. & Prasad, A.M. (1998) Predicting abundance of 80 tree species following climate change in the eastern United States. Ecological Monographs, 68, 465-485.
28. Jetz, W., Rahbek, C. & Lichstein, J.W. (2005) Local and global approaches to spatial data analysis in ecology. Global Ecology and Biogeography, 14, 97-98.
29. Keesing, F., Holt, R.D. & Ostfeld, R.S. (2006) Effects of species diversity on disease risk. Ecology Letters, 9, 485-498.
30. Kollars, T.M., Oliver, J.H., Kollars, P.G. & Durden, L.A. (1999) Seasonal activity and host associations of Ixodes scapularis (Acari: Ixodidae) in southeastern Missouri. Journal of Medical Entomology, 36, 720-726.
31. Kovats, R.S., Campbell-Lendrum, D.H., McMichael, A.J., Woodward, A. & Cox, J.S. (2001) Early effects of climate change: Do they include changes in vector-borne disease? Philosophical Transactions of the Royal Society B: Biological Sciences, 356, 1057-1068.
32. Lockhart, J.M., Davidson, W.R., Stallknecht, D.E., Dawson, J.E. & Little, S.E. (1997) Natural history of Ehrlichia chaffeensis (Rickettsiales: Ehrlichieae) in the Piedmont physiographic province of Georgia. Journal of Parasitology, 83, 887-894.
33. Manangan, J.S., Schweitzer, S.H., Nibbelink, N., Yabsley, M.J., Gibbs, S.E.J. & Wimberly, M.C. (in press) Habitat factors influencing distributions of Anaplasma phagocytophilum and Ehrlichia chaffeensis in the Mississippi Alluvial Valley. Vector-Borne and Zoonotic Diseases.
34. Miranda, B.R. & Porter, W.F. (2003) Statewide habitat assessment for white-tailed deer in Arkansas using satellite imagery. Wildlife Society Bulletin, 31, 715-726.
35. Mount, G.A., Haile, D.G., Barnard, D.R. & Daniels, E. (1993) New version of LSTSIM for computer-simulation of Amblyomma americanum (Acari: Ixodidae) population dynamics. Journal of Medical Entomology, 30, 843-857.
36. Nakaya, T., Fotheringham, A.S., Brundson, C. & Charlton, M. (2005) Geographically weighted Poisson regression for disease association mapping. Statistics in Medicine, 24, 2695-2717.
37. Nicholson, W.L., Muir, S., Sumner, J.W. & Childs, J.E. (1998) Serologic evidence of infection with Ehrlichia spp. in wild rodents (Muridae: Sigmodontinae) in the United States. Journal of Clinical Microbiology, 36, 695-700.
38. Nupp, T.E. & Swihart, R.K. (1998) Effects of forest fragmentation on population attributes of white-footed mice and eastern chipmunks. Journal of Mammalogy, 79, 1234-1243.
39. Ogden, N.H., Maarouf, A., Barker, I.K., Bigras-Poulin, M., Lindsay, L.R., Morshed, M.G., O'Callaghan, C.J., Ramay, F., Waltner-Toews, D. & Charron, D.F. (2006) Climate change and the potential for range expansion of the Lyme disease vector Ixodes scapularis in Canada. International Journal for Parasitology, 36, 63-70.
40. Olwoch, J.M., Rautenbach, C.J. de W., Erasmus, B.F.N., Engelbrecht, F.A. & van Jaarsveld, A.S. (2003) Simulating tick distributions over sub-Saharan Africa: The use of observed and simulated climate surfaces. Journal of Biogeography, 30, 1221-1232.
41. Ostfeld, R.S., Cepeda, O.M., Hazler, K.R. & Miller, M.C. (1995) Ecology of Lyme disease - habitat associations of ticks (Ixodes scapularis) in a rural landscape. Ecological Applications, 5, 353-361.
42. Paddock, C.D. & Childs, J.E. (2003) Ehrlichia chaffeensis: A prototypical emerging pathogen. Clinical Microbiology Reviews, 16, 37-64.
43. R Development Core Team (2005) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna (http://www.R-project.org).
44. Randolph, S.E. & Rogers, D.J. (2000) Fragile transmission cycles of tick-borne encephalitis virus may be disrupted by predicted climate change. Proceedings of the Royal Society B: Biological Sciences, 267, 1741-1744.
45. Randolph, S.E. (2000) Ticks and tick-borne disease systems in space and from space. Advances in Parasitology, 47, 217-243.
46. Randolph, S.E. (2001) The shifting landscape of tick-borne zoonoses: tick-borne encephalitis and Lyme borreliosis in Europe. Philosophical Transactions of the Royal Society B: Biological Sciences, 356, 1045-1056.
47. Randolph, S.E. (2004) Evidence that climate change has caused 'emergence' of tick-borne diseases in Europe? International Journal of Medical Microbiology, 293, 5-15.
48. Randolph, S.E., Green, R.M., Peacey, M.F. & Rogers, D.J. (2000) Seasonal synchrony: The key to tick-borne encephalitis foci identified by satellite data. Parasitology, 121, 15-23.
49. Randolph, S.E., Miklisova, D., Lysy, J., Rogers, D.J. & Labuda, M. (1999) Incidence from coincidence: Patterns of tick infestations on rodents facilitate transmission of tick-borne encephalitis virus. Parasitology, 118, 177-186.
50. Rogers, D.J. & Randolph, S.E. (2000) The global spread of malaria in a future, warmer world. Science, 289, 1763-1766.
51. Shi, H., Laurent, E.J., Lebouton, J., Racevskis, L., Hall, K.R., Donovan, M., Doepker, R.V., Walters, M.B., Lupi, F. & Liu, J.G. (2006) Local spatial modeling of white-tailed deer distribution. Ecological Modelling, 190, 171-189.
52. Taylor, L.H., Latham, S.M. & Woolhouse, M.E.J. (2001) Risk factors for human disease emergence. Philosophical Transactions of the Royal Society B: Biological Sciences, 356, 983-989.
53. Thornton, P.E., Running, S.W. & White, M.A. (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology, 190, 214-251.
54. Vanasse, A., Niyonsenga, T., Courteau, J., Gregoire, J., Hemiari, A., Loslier, J. & Benie, G. (2005) Spatial variation in the management and outcomes of acute coronary syndrome. BMC Cardiovascular Disorders, 5, 21.
55. Vitousek, P.M. (1994) Beyond global warming: Ecology and global change. Ecology, 75, 1861-1876.
56. Vogelmann, J.E., Howard, S.M., Yang, L.M., Larson, C.R., Wylie, B.K. & Van Driel, N. (2001) Completion of the 1990s National Land Cover Data set for the conterminous United States from Landsat Thematic Mapper data and ancillary data sources. Photogrammetric Engineering and Remote Sensing, 67, 650-652.
57. Wade, T.G., Riitters, K.H., Wickham, J.D. & Jones, K.B. (2003) Distribution and causes of global forest fragmentation. Conservation Ecology, 7, 7.
58. Wheeler, D. & Tiefelsdorf, M. (2005) Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographic Systems, 7, 161-187.
59. Wilson, M.L. (1998) Distribution and abundance of Ixodes scapularis (Acari: Ixodidae) in North America: Ecological processes and spatial analysis. Journal of Medical Entomology, 35, 446-457.
60. Yabsley, M.J., Dugan, V.G., Stallknecht, D.E., Little, S.E., Lockhart, J.M., Dawson, J.E. & Davidson, W.R. (2003) Evaluation of a prototype Ehrlichia chaffeensis surveillance system using white-tailed deer (Odocoileus virginianus) as natural sentinels. Vector-Borne and Zoonotic Diseases, 3, 195-207.
61. Yabsley, M.J., Wimberly, M.C., Stallknecht, D.E., Little, S.E. & Davidson, W.R. (2005) Spatial analysis of the distribution of Ehrlichia chaffeensis, causative agent of human monocytotropic ehrlichiosis, across a multi-state region. American Journal of Tropical Medicine and Hygiene, 72, 840-850.