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Multi-criteria Decision Analysis to Model Ixodes ricinus Habitat Suitability
- Source :
- EcoHealth. 14(3)
- Publication Year :
- 2016
-
Abstract
- Tick-borne diseases present a major threat to both human and livestock health throughout Europe. The risk of infection is directly related to the presence of its vector. Thereby it is important to know their distribution, which is strongly associated with environmental factors: the presence and availability of a suitable habitat, of a suitable climate and of hosts. The present study models the habitat suitability for Ixodes ricinus in Ireland, where data on tick distribution are scarce. Tick habitat suitability was estimated at a coarse scale (10 km) with a multi-criteria decision analysis (MCDA) method according to four different scenarios (depending on the variables used and on the weights granted to each of them). The western part of Ireland and the Wicklow mountains in the East were estimated to be the most suitable areas for I. ricinus in the island. There was a good level of agreement between results from the MCDA and recorded tick presence. The different scenarios did not affect the spatial outputs substantially. The current study suggests that tick habitat suitability can be mapped accurately at a coarse scale in a data-scarce context using knowledge-based methods. It can serve as a guideline for future countrywide sampling that would help to determine local risk of tick presence and refining knowledge on tick habitat suitability in Ireland.
- Subjects :
- Ixodes ricinus
Health, Toxicology and Mutagenesis
030231 tropical medicine
Distribution (economics)
Context (language use)
Tick
03 medical and health sciences
0302 clinical medicine
Risk Factors
medicine
Animals
030212 general & internal medicine
Ecosystem
Tick-borne disease
Ecology
biology
Ixodes
business.industry
biology.organism_classification
Multiple-criteria decision analysis
medicine.disease
Phylogeography
Habitat
Animal ecology
Tick-Borne Diseases
business
Ireland
Subjects
Details
- ISSN :
- 16129210
- Volume :
- 14
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- EcoHealth
- Accession number :
- edsair.doi.dedup.....8d38ec872e291a21c2d2d0ccdecb68a4