Using invaded range data to model the climate suitability for Amblyomma variegatum (Acari: Ixodidae) in the New World

Experimental and Applied Acarology

Volumn 41, Issue 3, 2007, Pages 203-214

  Estrada Pena A ^a   Pegram, R G ^b   Barre N ^c   Venzal, José M ^a  

^a UNIVERSIDAD DE ZARAGOZA   (Spain)

^b FAO Caribbean Amblyomma Programme   (Antigua and Barbuda)

^c CIRAD   (France)

Author keywords

Amblyomma variegatum; Habitat suitability modelling; New World; Spread

Indexed keywords

CLIMATE MODELING; DATA SET; GEOGRAPHICAL DISTRIBUTION; HABITAT SELECTION; MAXIMUM ENTROPY ANALYSIS; NICHE; PHENOTYPIC PLASTICITY; TICK;

AFRICA; ANIMAL; ANIMAL BEHAVIOR; ARTICLE; BIOLOGICAL MODEL; CLIMATE; GEOGRAPHY; PHYSIOLOGY; POPULATION DYNAMICS; TICK;

AFRICA; ANIMALS; CLIMATE; GEOGRAPHY; HOMING BEHAVIOR; MODELS, BIOLOGICAL; POPULATION DYNAMICS; TICKS;

AFRICA;

ACARI; AMBLYOMMA; AMBLYOMMA VARIEGATUM; IXODIDA; IXODIDAE;

EID: 33947538816     PISSN: 01688162     EISSN: 15729702     Source Type: Journal    
DOI: 10.1007/s10493-007-9050-9     Document Type: Article

References (29)

1. Araújo MB, Humphries CJ, Densham PJ, Lampinen R, Hagemeijer WJM, Mitchell-Jones AJ, Gasc JP (2001) Would environmental diversity be a good surrogate for species diversity? Ecography 24:103-110
2. Barré N, Garris G, Camus E (1995) Propagation of the tick Amblyomma variegatum in the Caribbean. Rev Sci Tech 14:841-855
3. Barré N, Uilenberg G, Morel P-C, Camus E (1987) Danger of introducing Heartwater onto the American mainland: potential role of indigenous and exotic Amblyomma ticks. Onderstepoort J Vet Res 54:405-417
4. Burridge MJ, Simmons LA, Peter TF, Mahan SM (2002) Increasing risks of introduction of Heartwater onto the American mainland associated with animal movements. Ann NY Acad Sci 969:269-274
5. Corn JL, Barre N, Thiebot B, Creekmore TE, Garris GI, Nettles VF (1993) Potential role of cattle egrets, Bubulcus ibis (Ciconiformes: Ardeidae), in the dissemination of Amblyomma variegatum (Acari: Ixodidae) in the eastern Caribbean. J Med Entomol 30:1029-1037
6. Davis MB, Shaw RG (2001) Range shifts and adaptive responses to quaternary climate change. Science 292:673-679
7. Engler R, Guisan A, Rechsteiner L (2004) An improved approach for predicting the distribution of rare and endangered species from occurrence and psuedo-absence data. J Appl Ecol 41:2632-2674
8. Estrada-Peña A, Venzal JM, Sánchez Acedo C (2006) The tick Ixodes ricinus: distribution and climate preferences in the western Palaearctic. Med Vet Entomol 20:189-197
9. Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction erros in conservation presence/absence models. Environ Conserv 24:38-49
10. Gower JC (1971) General coefficient of similarity and some of its properties. Biometrics 27:857-874
11. Guisan A, Zimmerman NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147-186
12. Hierro JL, Maron JL, Callaway RM (2005) A biogeographical approach to plan invasions: the importance of studying exotics in their introduced and native range. J Ecol 93:5-15
13. International Consortium of Ticks and Tick-Borne Diseases (ICTTD) (2004) Ticks of veterinary and medical importance. A series of three CD's on ticks of livestock in Africa, The Mediterranean region and Latin America (http://www.icttd.nl)
14. Kriticos DJ, Randall RP (2001) A comparison of systems to analyze potential weed distributions. In: Grooves RH, Panetta FD, Virtue JG (eds) Weed risk assessment. CSIRO Publishing, Collingwood, Victoria, Australia, pp 61-79
15. Lobo JM, Verdú JR, Numa C (2006) Environmental and geographical factors affecting the Iberian distribution of flightless Jekelius species (Coleoptera: Geotrupidae). Divers Distrib 12:179-188
16. Loehle C, LeBlanc D (1996) Model-based assessments of climate change effects on forests: a critical review. Ecol Modell 90:1-31
17. Mau-Crimmins TM, Schussman HR, Geiger EL (2006) Can the invaded range of a species be predicted sufficiently using only native-range data? Lehmann lovegrass (Eragrostis lehmanniana) in the southwestern United States. Ecol Modell 193:736-746
18. Pearce J, Ferrier S (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecol Modell 133:225-245
19. Petney TN, Horak IG, Rechav Y (1987) The ecology of the African vectors of Heartwater, with particular references to Amblyomma hebraeum and Amblyomma variegatum. Ondertspoort J Vet Res 54:381-395
20. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modelling of species geographic distribution. Ecol Modell 190:231-259
21. Sutherst RW, Maywald GF (1985) A computerised system for matching climates in ecology. Agric Ecosyst Environ 13:281-299
22. Swets KA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285-1293
23. Titeux N (2006) Modelling species distribution when habitat occupancy departs from suitability. Application to birds in a landscape context. PhD Thesis, University of Louvain (Belgium), pp 243
24. Tonnesen MH, Penzhorn BL, bryson NR, Stoltsz WH, Masiwigiri T (2004) Displacement of Boophilus decoloratus by Boophilus microplus in the Soutpansbeg region, Limpopo province, South Africa. Exp Appl Acarol 32:199-208
25. Walker JB, Olwage A (1987) The tick vectors of Cowdria ruminantium (Ixodoidea, Ixodidae, genus Amblyomma) and their distribution. Onderstepoort J Vet Res 54:353-379
26. Wang J, Rich PM, Price KP (2004) Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. Int J Remote Sens 24:2345-2364
27. Walker AR, Bouattour A, Camicas J-L, Estrada-Peña A, Horak I, Latif AA, Pegram RG, Presto PM (2004) Ticks of domestic animals in Africa. A guide of identification of species. Bioscience Reports, Edinburgh, UK, 221 pp
28. Welk E (2004) Constraints in range prediction of invasive plant-species due to non-equilibrium distribution patterns: purple loosestrife (Lythrum salicaria) in North America. Ecol Modell 179:551-567
29. Zaniewski AE, Lehmann A, Overton JM (2002) Predicting species spatial distributions using presence-onlu data: a case study of native New Zealand ferns. Ecol Modell 157:261-280