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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).

Simple

Date (Publication)
2013-07-25
Citation identifier
CEH:EIDC: / 1374764152990
Citation identifier
https://catalogue.ceh.ac.uk/id/ac9175da-921c-4a46-a6bb-b31d73eab8a6
Point of contact
Organisation name Individual name Electronic mail address Role
Forest Research

Moseley, D.

darren.moseley@forestry.gsi.gov.uk

Author

Forest Research. Centre for Human and Ecological Sciences

Quine, C.

chris.quine@forestry.gsi.gov.uk

Principal investigator
University of Oxford

Randolph, S.

sarah.randolph@zoo.ox.ac.uk

Owner
University of Surrey

Uzell, D.

d.uzzell@surrey.ac.uk

Owner

Brunel University

Barnett, J.

Julie.Barnett@brunel.ac.uk

Owner
University of Surrey

Marcu, A.

Afrodita.Marcu@brunel.ac.uk

Author
Forest Research

Marzano, M.

mariella.marzano@forestry.gsi.gov.uk

Author
Forest Research

O'Brien, L.

liz.obrien@forestry.gsi.gov.uk

Author
Forest Research

Moseley, D.

darren.moseley@forestry.gsi.gov.uk

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
Maintenance and update frequency
Not planned

GEMET - INSPIRE themes, version 1.0

  • Human Health and Safety

Access constraints
Other restrictions
Other constraints
unknown
Use constraints
Other restrictions
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
Language
English
Character set
UTF8
Topic category
  • Biota
  • Environment
  • Health
Begin date
2007-09-01
End date
2010-11-30
N
S
E
W
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Unique resource identifier
WGS 84
Distribution format
Name Version

Excel

12

Shapefile

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

enquiries@ceh.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/ac9175da-921c-4a46-a6bb-b31d73eab8a6

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/ac9175da-921c-4a46-a6bb-b31d73eab8a6.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
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
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-03-21T10:44:29
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Human Health and Safety


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