cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-03-01T12:26:22
UK GEMINI
2.3
OSGB 1936 / British National Grid
Model estimates of expected diversity of positive plant habitat condition indicators
2016-02-26
publication
https://catalogue.ceh.ac.uk/id/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
doi:
Maskell, L., Henrys, P.A., Norton, L., Smart, S. (2016). Model estimates of expected diversity of positive plant habitat condition indicators. NERC Environmental Information Data Centre 10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
This dataset models positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data). Full details about this dataset can be found at https://doi.org/10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
Maskell, L.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-4006-7755
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Henrys, P.A.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-4758-1482
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Norton, L.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
author
Smart, S.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-2750-7832
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
Maskell, L.
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-4006-7755
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
pointOfContact
Natural England
enquiries@ceh.ac.uk
owner
notPlanned
Environmental Monitoring Facilities
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
Registration is required to access this data
otherRestrictions
This resource is made available under the terms of the Open Government Licence
otherRestrictions
© Natural England
otherRestrictions
If you reuse this data, you should cite: Maskell, L., Henrys, P.A., Norton, L., Smart, S. (2016). Model estimates of expected diversity of positive plant habitat condition indicators. NERC Environmental Information Data Centre https://doi.org/10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
grid
1000
English
utf8
biota
2007-05-01
2007-10-31
-8.648
1.768
49.864
60.861
Shapefile
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
https://catalogue.ceh.ac.uk/maps/090f990e-e24c-499b-87eb-33a193b50c63?request=GetCapabilities&service=WMS&cache=false&
Web map service
dataset
dataset
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
2010-12-08
This dataset was created from Countryside Survey 2007 area (x,y,u) vegetation plot data. Each plot was classified to a Broad Habitat type. In each plot the number of positive habitat indicators for the Habitat type that it was classified to were counted. These positive indicators were taken from a list of plant species characteristic of each Broad Habitat created from Common Standards Monitoring Guidance and in consultation with the Botanical Society of the British Isles (BSBI) - it has been provided with this dataset. This count was then divided by the total number of positive indicators that could have been found in that habitat type and multiplied by 100. The data was extrapolated to 1km squares across GB using a generalised additive mixed model incorporating the 1km square as a random variable to account for spatial autocorrelation between plots in the same square. A poisson distribution was specified. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in an SSSI (presence or absence data).