Perspectives on modelling the distribution of ticks for large areas: so far so good?

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• 作者：Agustín Estrada-Peña ; Neil Alexander ; G.R. William Wint
• 关键词：Correlative distribution modelling ; Ticks ; Remote sensing ; MODIS Fourier transformation
• 刊名：Parasites & Vectors
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：9
• 期：1
• 全文大小：1,814 KB
• 刊物主题：Parasitology; Infectious Diseases; Tropical Medicine; Entomology;
• 出版者：BioMed Central
• ISSN：1756-3305

文摘

Background This paper aims to illustrate the steps needed to produce reliable correlative modelling for arthropod vectors, when process-driven models are unavailable. We use ticks as examples because of the (re)emerging interest in the pathogens they transmit. We argue that many scientific publications on the topic focus on: (i) the use of explanatory variables that do not adequately describe tick habitats; (ii) the automatic removal of variables causing internal (statistical) problems in the models without considering their ecological significance; and (iii) spatial pattern matching rather than niche mapping, therefore losing information that could be used in projections.