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 2026-01-09T12:33:29 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 info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.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@naturalengland.org.uk owner notPlanned Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Biodiversity Countryside Survey Broad Habitats Priority Habitats Common Standards Monitoring 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).