Model estimates of expected diversity of positive plant habitat condition indicators

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This dataset is made available under the terms of the Open Government Licence

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https://doi.org/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).

Publication date: 2016-02-26

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Format

Shapefile

Spatial information

Study area

Spatial representation type

Raster

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

2007-05-01 to 2007-10-31

Provenance & quality

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).

Licensing and constraints

This dataset is made available under the terms of the Open Government Licence

Cite this dataset as:

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

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