Predictions of avian Plasmodium expansion under climate change

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Loiseau, Claire ^a   Harrigan, Ryan J ^b   Bichet, Coraline ^c   Julliard, Romain ^d   Garnier, Stéphane ^c   Lendvai, Ádám Z ^e   Chastel, Olivier ^f   Sorci, Gabriele ^c  

^a SAN FRANCISCO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITÉ DE BOURGOGNE   (France)

^d SORBONNE UNIVERSITÉ   (France)

^e Department of Agricultural Sciences and Environmental Management   (Hungary)

^f CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ANIMAL DISEASE; ARTICLE; CLIMATE CHANGE; DISEASE TRANSMISSION; ENVIRONMENT; HUMAN; MALARIA; PARASITEMIA; PHYSIOLOGY; PLASMODIUM; PREVALENCE; SONGBIRD; TEMPERATURE;

ANIMALS; CLIMATE CHANGE; ENVIRONMENT; HUMANS; MALARIA; PARASITEMIA; PASSERIFORMES; PLASMODIUM; PREVALENCE; TEMPERATURE;

MLCS; MLOWN;

EID: 84873143319     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep01126     Document Type: Article

References (33)

1. Harvell, C. D. et al. Ecology-Climate warming and disease risks for terrestrial and marine biota. Science 296, 2158-2162 (2002). (Pubitemid 34680283)
2. Massad, E.,Coutinho, F. A. B., Lopez, L. F.&da Silva, D. R. Modeling the impact of global warming on vector-borne infections. Physics Life Rev. 8, 169-199 (2011).
3. Paaijmans, K. P. et al. Influence of climate on malaria transmission depends on daily temperature variation. Proc. Natl. Acad. Sci. USA 107, 15135-15139 (2010).
4. Rohr, J. R. et al. Frontiers in climate change-disease research. Trends Ecol. Evol. 26, 270-277 (2011).
5. Fuller, T. et al. The ecology of emerging infectious diseases in migratory birds: an assessment of the role of climate change and priorities for future research. EcoHealth 9, 80-88 (2012).
6. Patz, J. A. & Reisen, W. K. Immunology, climate change and vector-borne diseases. Trends Immunol. 22, 171-172 (2011)
7. Patz, J. A. & Olson, S. H. Malaria risk and temperature: Influences from global climate change and local land use practices. Proc. Natl. Acad. Sci. USA 103, 5635-5636 (2006).
8. Gething, P. W. et al. Climate change and the global malaria recession. Nature 465, 342-345 (2010).
9. Colwella, D. D., Dantas-Torresb, F. & Otrantob, D. Vector-borne parasitic zoonoses: Emerging scenarios and new perspectives. Vet. Parasitol. 182, 14-21 (2011).
10. Bouma, M. J., Baeza, A., terVeen, A. & Pascual, M. Global malaria maps and climate change: a focus on East African highlands. Trends Parasitol. 27, 421-422 (2011).
11. LaPointe, D. A., Goff, M. L. & Atkinson, C. T. Thermal constraints to the sporogonic development and altitudinal distribution of avian malaria Plasmodium relictum in Hawaii. J. Parasitol. 96, 318-324 (2010).
12. Garamszegi, L. Z. Climate change increases the risk of malaria in birds. Glob. Change Biol. 17, 1751-1759 (2011).
13. Paaijmans, K. P., Blanford, S., Chan, B. H. K. & Thomas, M. B. Warmer temperatures reduce the vectorial capacity of malaria mosquitoes. Biol. Lett. 8, 465-468 (2012).
14. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965-1978 (2005). (Pubitemid 43013915)
15. Sehgal, R. N. M. et al. Spatially explicit predictions of blood parasites in a widely distributed African rainforest bird. Proc. R. Soc. Lond. B. 278, 1025-1033 (2010).
16. Rogers, D. J. & Randolph, S. E. Climate change and vector-borne diseases. In: Advances in Parasitology, Vol 62, pp 345-381, Elsevier Academic Inc, San Diego (2006).
17. Knowles, S. C. L. et al. Molecular epidemiology of malaria prevalence and parasitaemia in a wild bird population. Mol. Ecol. 20, 1062-1076 (2011).
18. Kaslow, R. A., McNicholl, J. & Hill, A. V. S Genetic Susceptibility to Infectious Diseases. Oxford University Press, Oxford (2008).
19. Loiseau, C. et al. First evidence and predictions of Plasmodium transmission in Alaskan bird populations. PloS ONE 7, e44729 (2012).
20. Zamora-Vilchis, I., Williams, S. E. & Johnson, C. N. Environmental temperature affects prevalence of blood parasites of birds on an elevation gradient: implications for disease in a warming climate. PLoS ONE 7, e39208 (2012).
21. Liaw, A. & Wiener, M. Classification and regression by randomForest. R News 2, 18-22 (2002).
22. R Development Core Team: R 2004. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing (2004).
23. Lachish, S., Knowles, S. C. L., Alves, R., Wood, M. J. & Sheldon, B. C. Infection dynamics of endemic malaria in a wild bird population: parasite speciesdependent drivers of spatial and temporal variation in transmission rates. J. Anim. Ecol. 80, 1207-1216 (2011).
24. Hellgren, O., Perez-Tris, J. & Bensch, S. A jack-of-all-trades and still a master of some: prevalence and host range in avian malaria and related blood parasites. Ecology 90, 2840-2849 (2009).
25. VanRiper, C., VanRiper, S. G., Goff, M. L. & Laird, M. The epizootiology and ecological significance of malaria in Hawaiian land birds. Ecol. Monog. 56, 327-344 (1986).
26. Samuel, M. D. et al. The dynamics, transmission, and population impacts of avian malaria in native Hawaiian birds: a modeling approach. Ecol. Appl. 21, 2960-2973 (2011).
27. Waldenström, J., Bensch, S., Hasselquist, D. &Ö stman,Ö. A new nested polymerase chain reaction method very efficient in detecting Plasmodium and Haemoproteus infections from avian blood. J. Parasitol. 90, 191-194 (2004). (Pubitemid 38280755)
28. Cellier-Holzem, E., Esparza-Salas, R., Garnier, S. & Sorci, G. Effect of repeated exposure to Plasmodium relictum (lineage SGS1) on infection dynamics in domestic canaries. Int. J. Parasitol. 40, 1447-1453 (2010).
29. Nix, H. A biogeographic analysis of Australian elapid snakes. Atlas of Elapid Snakes of Australia. Australian Government Publishing Service (1986).
30. Breiman, L. Random forests. Mach. Learn. 45, 5-32 (2001). (Pubitemid 32933532)
31. Cutler, D. R. et al. Random forests for classification in ecology. Ecology 88, 2783-2792 (2007). (Pubitemid 351345081)
32. Prasad, A. M., Iverson, L. R. & Liaw, A. Newer classification and regression tree techniques: bagging and random forests for ecological prediction. Ecosystems 9, 181-199 (2006).
33. Oliver, M. A. Kriging: a method of interpolation for Geographical Information Systems. Int. J. GIS 4, 313-332 (1990).