The distribution of ticks (Acari: Ixodidae) of domestic livestock in Portugal

被引:34
|
作者
Estrada-Peña, A
Santos-Silva, MM
机构
[1] Fac Vet, Dept Parasitol, Zaragoza 50013, Spain
[2] Natl Inst Hlth, Ctr Vector & Infect Dis Res, P-2965575 Aguas de Moura, Portugal
关键词
CART models; climate preferences; distribution; Portugal; ticks;
D O I
10.1007/s10493-005-5107-9
中图分类号
Q96 [昆虫学];
学科分类号
摘要
This paper introduces the first countrywide faunistic study of the tick parasites on ruminants in Portugal. The aim of this study was to map accurately the distribution of the ticks Dermacentor marginatus, Rhipicephalus (Boophilus) annulatus, R. bursa, Hyalomma m. marginatum, H. lusitanicum and Ixodes ricinus in Portugal. Additional information about the abiotic preferences of these species has been obtained through the use of abiotic (temperature- and vegetation-derived) variables have been recorded from remotely sensed information at a nominal resolution of 1.1 km(2). A further aim was the development of predictive models of distribution using Classification and Regression Trees (CART) methodologies. Four species (R. annulatus, R. bursa, D. marginatus and H. m. marginatum) are mostly restricted to south-eastern parts of the country, under hot and dry climate conditions of Mediterranean type. H. lusitanicum has been collected almost only in the southern half of Portugal. I. ricinus has a very patchy distribution and is mainly associated with vegetation of Quercus spp., found in southern zones of the country, but it is present also in the more humid western part. A variable number of abiotic variables, mainly temperature derived, are able to describe the preferences of the tick species. It is remarkable that variables derived from maximum values of the Normalized Derived Vegetation Index (yearly or summer-derived) only apply to discriminate areas where I. ricinus has been collected. CART models are able to map the distribution of these ticks with accuracy ranging within 75.3 and 96.4% of actual positive sites.
引用
收藏
页码:233 / 246
页数:14
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