Tick ecology data and risk maps, 2007-2010 - RELU Assessing and communicating animal disease risks for countryside users

This dataset consists of tick sampling and microclimate data from Exmoor, Richmond and New Forest study sites; as well as ARCGIS risk maps that model tick abundance driven by climate surfaces and host abundance. Tick sampling data (91 files, each representing a day of sampling) indicate tick abundance (distinguishing larvae, nymphs, adult males and adult females), vegetation height, soil moisture, temperature and relative humidity. Static risk map files indicate modeled tick abundance: 251 landcover files for the three sites, as well as 36 ArcView map files. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Many people take pleasure from activities in forests and wild lands in the UK and others are being encouraged to participate. Unfortunately, there are risks and one of the most insidious is the possibility (albeit tiny) of acquiring a disease from wild animals; for example, ticks can be vectors of the bacterial infection leading to Lyme Disease. Both diagnosis and treatment can be problematic so prevention of acquiring such disease is highly desirable. Surprisingly little is known about how best to warn countryside users about the potential for disease without scaring them away or spoiling their enjoyment. Answering such questions was the goal of this project, and required the integration of a diverse set of scientific skills, and an understanding of the views of those who manage countryside, those who have contracted zoonotic diseases and those who access the land. This project combined knowledge from three strands of work, namely risk assessment, risk perception and communication, and scenario analysis. The study sites were selected to provide a range of environmental conditions and countryside use. Peri-urban parkland, accessible lowland forest and heath and remote upland forest were chosen as represented by Richmond Park on the fringe of Greater London, the New Forest in Southern England, and Exmoor in South West England. The following additional data from this same research project are available at the UK Data Archive under study number 6892 (see online resources): Lyme disease risk perception data resulting from tick imagery vignette experiments, Lyme disease patient interviews and surveys, residents and countryside staff focus groups, forest manager interviews, and multiple scoring procedures of animal social representation; as well as Lyme and tick risk communication data resulting from interviews with organisations and content analysis of risk warning information leaflets, Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2013-07-25

Identifier: CEH:EIDC: / 1374764152990

Identifier: https://catalogue.ceh.ac.uk/id/ac9175da-921c-4a46-a6bb-b31d73eab8a6

Forest Research - Moseley, Darren

Forest Research. Centre for Human and Ecological Sciences - Quine, Chris

University of Oxford - Randolph, Sarah

University of Surrey - Uzell, David

Brunel University - Barnett, Julie

University of Surrey - Marcu, Afrodita

Forest Research - Marzano, Mariella

Forest Research - O'Brien, Liz

Forest Research - Moseley, Darren

NERC EDS Environmental Information Data Centre

Maintenance and update frequency: notPlanned

GEMET - INSPIRE themes, version 1.0 ()

Human Health and Safety

Keywords

Rural Economy and Land Use Programme
Assessing and communicating animal disease risks for countryside users
Countryside
great Britain
health risks
leisure time activities
lyme disease
national parks
nature reserves
tourism
zoonotic diseases

Limitations on Public Access: otherRestrictions

Other constraints: no limitations

Use constraints: otherRestrictions

Other constraints: This resource is licensed from UK Data Archive (a department of the University of Essex and not a separate legal entity) and made available under the RELU data licence terms and conditions

Spatial representation type: vector

Distance: 50 urn:ogc:def:uom:EPSG::9001

Topic category

Biota
Environment
Health

Begin date: 2007-09-01

End date: 2010-11-30

Code: WGS 84

Distribution Information

Data format

Excel ( 12 )
Shapefile ()

Resource Locator: Download the data
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Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

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Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Quality Scope: dataset

Other: dataset

Report

Dataset Reference Date (): 2010-12-08

Statement: Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-229-25-0007 Tick sampling data (91 files, each representing a day of sampling) indicate tick abundance (distinguishing larvae, nymphs, adult males and adult females), vegetation height, soil moisture, temperature and relative humidity. Static risk map files indicate modeled tick abundance: 251 landcover files for the three sites, as well as 36 ArcView map files.

Metadata

File identifier: ac9175da-921c-4a46-a6bb-b31d73eab8a6 XML

Metadata Language: English (en)

Character set: ISO/IEC 8859-1 (also known as Latin 1)

Resource type: dataset

Hierarchy level name: dataset

Metadata Date: 2021-06-25T18:36:44

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK

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