Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora

These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland. The distribution models were developed from quadrat vegetation data kindly provided by Scottish Natural Heritage combined with data on climate and soil conditions as well as deer abundance and were fitted using a Bayesian Generalised Mixed Modelling approach adapted for input data on the DOMIN scale. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). Full details about this dataset can be found at https://doi.org/10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec
 
Citation proposal
Environmental Information Data Centre - Searle, K. (Centre for Ecology & Hydrology) - Butler, A. (BIOSS) - Harris, C. (University of St Andrews) - Purse, B.V. (Centre for Ecology & Hydrology) (2016) . Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora. NERC Environmental Information Data Centre https://data-search.nerc.ac.uk:443/geonetwork/srv/api/records/5749df3d-000c-445e-a37f-dc0763b4d5ec
 

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Date ( Publication )
2016-07-07
Date ( Creation )
2013-12-12
Identifier
https://catalogue.ceh.ac.uk/id/5749df3d-000c-445e-a37f-dc0763b4d5ec
Identifier
doi: / 10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec
Other citation details
Searle, K., Butler, A., Harris, C., Purse, B.V. (2016). Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora . NERC Environmental Information Data Centre 10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec

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GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Habitats and Biotopes
Wikidata
  • Vaccinium myrtillus , Vaccinium vitis-idaea , Arctostaphylos uva-ursi , Phytophthora ramorum , Phytophthora kernoviae
Keywords
  • Modelling , common bilberry , blue whortleberry , winberry , lingonberry , bearberry
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© Scottish Government
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otherRestrictions Other restrictions
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The following statement is also required when reusing the data: 'Contains, or is based on, information supplied by the Forestry Commission. © Crown copyright and database right [2014] Ordnance Survey [100021242]'
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otherRestrictions Other restrictions
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If you reuse this data, you should cite: Searle, K., Butler, A., Harris, C., Purse, B.V. (2016). Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora . NERC Environmental Information Data Centre https://doi.org/10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec
Spatial representation type
vector Vector
Distance
100  urn:ogc:def:uom:EPSG::9001
Metadata language
English English
Character set
utf8 UTF8
Topic category
  • Environment
N
S
E
W


Distribution format
  • Shapefile ()

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Conformance result

Date ( Publication )
2010-12-08
Statement
A logit-normal model was developed, structured as a generalized linear mixed model (GLMM) for logit-transformed proportions. An approach was adopted that would deal with overdispersion (the large number of absence records for the species), the unequal numbers of quadrats taken per NVC survey site, and the uncertainty around the true percent cover arising from the unequal size of the DOMIN class intervals - such that the true percent cover is an unobserved latent variable. The supporting documentation contains full details of the GLMM used. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.

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File identifier
5749df3d-000c-445e-a37f-dc0763b4d5ec   XML
Metadata language
English English
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2020-09-22T10:17:21
Metadata standard version
2.3

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