Woody linear features framework, Great Britain v.1.0
https://doi.org/10.5285/d7da6cb9-104b-4dbc-b709-c1f7ba94fb16
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A modelled dataset derived from a range of national datasets, describing the distribution of woody linear feature boundaries in Great Britain. The dataset presents linear features which have a high likelihood of being a woody linear feature. The dataset was created by a predictive model developed at the Centre for Ecology & Hydrology, Lancaster in 2016.
Publication date: 2016-11-08
View numbers valid from 01 June 2023 Download numbers valid from 11 November 2021 (information prior to this was not collected)
Format
Esri file geodatabase
Spatial information
Study area
Spatial representation type
Vector
Spatial reference system
OSGB 1936 / British National Grid
Provenance & quality
The dataset is the output from a model which classifies the attributes of each linear feature within a linear framework (based upon the simplified version of Ordnance Survey MasterMap).
The following approach was taken: Areas of the framework were masked out where woody linear features were unlikely to be found or where it would be impossible to detect them, i.e. where land was higher than 350 m, urban, wooded or in a coastal tide-washed area. OS Land-Form PANORAMA/LCM2007 were used to do this. Boundary height information was calculated from a DTM (NEXTMap 5m). Boundaries with woody linear features were identified from this calculated height data using thresholds for different vegetation height attributes for a given length of boundary, namely: minimum vegetation height -0.13 m (accounting for the presence of a ditch adjacent to the woody feature) to maximum vegetation height 58 m (the maximum height for a tree in GB), and mean vegetation height 0.58 m (accounting for gappy features). The dataset presents linear features which have a high likelihood of being a woody linear feature.
The following approach was taken: Areas of the framework were masked out where woody linear features were unlikely to be found or where it would be impossible to detect them, i.e. where land was higher than 350 m, urban, wooded or in a coastal tide-washed area. OS Land-Form PANORAMA/LCM2007 were used to do this. Boundary height information was calculated from a DTM (NEXTMap 5m). Boundaries with woody linear features were identified from this calculated height data using thresholds for different vegetation height attributes for a given length of boundary, namely: minimum vegetation height -0.13 m (accounting for the presence of a ditch adjacent to the woody feature) to maximum vegetation height 58 m (the maximum height for a tree in GB), and mean vegetation height 0.58 m (accounting for gappy features). The dataset presents linear features which have a high likelihood of being a woody linear feature.
Licensing and constraints
Bespoke licensing terms apply to these data. If you choose to download the data, the CEH Data Licensing team will contact you to negotiate a licence
Cite this dataset as:
Scholefield, P.A.; Morton, R.D.; Rowland, C.S.; Henrys, P.A.; Howard, D.C.; Norton, L.R. (2016). Woody linear features framework, Great Britain v.1.0. NERC Environmental Information Data Centre. https://doi.org/10.5285/d7da6cb9-104b-4dbc-b709-c1f7ba94fb16
Citations
Scholefield, P., Morton, D., Rowland, C., Henrys, P., Howard, D., & Norton, L. (2016). A model of the extent and distribution of woody linear features in rural Great Britain. In Ecology and Evolution (Vol. 6, Issue 24, pp. 8893-8902). Wiley. https://doi.org/10.1002/ece3.2607 https://doi.org/10.1002/ece3.2607
Froidevaux, J. S. P., Boughey, K. L., Hawkins, C. L., Broyles, M., & Jones, G. (2019). Managing hedgerows for nocturnal wildlife: Do bats and their insect prey benefit from targeted agri‐environment schemes? Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.13412
Sullivan, M. J. P., Pearce-Higgins, J. W., Newson, S. E., Scholefield, P., Brereton, T., & Oliver, T. H. (2017). A national-scale model of linear features improves predictions of farmland biodiversity. Journal of Applied Ecology, 54(6), 1776–1784. https://doi.org/10.1111/1365-2664.12912
Wright, P.G.R., Coomber, F.G., Bellamy, C.C., Perkins, S.E., & Mathews, F. (2020). Predicting hedgehog mortality risks on British roads using habitat suitability modelling. PeerJ, 7, e8154. https://doi.org/10.7717/peerj.8154
Image, M., Gardner, E., Clough, Y., Smith, H.G., Baldock, K.C.R., Campbell, A., Garratt, M., Gillespie, M.A.K., Kunin, W.E., McKerchar, M., Memmott, J., Potts, S.G., Senapathi, D., Stone, G.N., Wackers, F., Westbury, D.B., Wilby, A., Oliver, T.H., & Breeze, T.D. (2022). Does agri-environment scheme participation in England increase pollinator populations and crop pollination services? Agriculture, Ecosystems & Environment, 325, 107755 https://doi.org/10.1016/j.agee.2021.107755
Correspondence/contact details
Scholefield, P.A.
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
enquiries@ceh.ac.uk
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Authors
https://orcid.org/0000-0003-2974-6431
Norton, L.R.
Centre for Ecology & Hydrology
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk