Riparian vegetation structure data for three intensively studied Wessex chalkstream sites, England, UK
bibliographic citation: Redhead, J., Murphy, J. (2017). Riparian vegetation structure data for three intensively studied Wessex chalkstream sites, England, UK. NERC Environmental Information Data Centre. https://doi.org/10.5285/61170f63-5ce0-43e3-8b0e-49c5a47bd3d0
description: A measure of the extent and complexity of riprian vegetation upstream of chalkstream sites derived from Light Detection and Ranging (LiDAR) data for three chalkstream sites within the Wessex chalk area (River Till, River Wylye and Nine Mile River). For each site there is an estimate of the minimum, maximum, mean and standard deviation height of vegetation along the banks for a range of distances upstream from the sampling location. Information on the extent and complexity of riparian vegetation upstream of chalkstream sites were used to better understand the relationships between in-stream biological communities and catchment and riparian land use. Stream sites surveyed represented a sample of chalkstreams across a gradient of catchment land cover intensification from catchments dominated by extensive calcareous grassland and woodland (Nine Mile River) to those dominated by arable and improved grasslands (Wylye). LiDAR data were obtained from the Environment Agency in April 2014. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project.
provenance: ProvenanceStatement
  label: LiDAR data were split between trees (vegetation >2m from the ground) and low (<2m) vegetation (with buildings masked out). Three areas relative to each stream sampling point were defined; a 10m-wide riparian zone buffer strip on each bank either 100m, 200m or 1km upstream. For each defined area the minimum, maximum, mean and standard deviation of vegetation heights were calculated from the LiDAR data, in addition to the total vegetation area and volume. These statistics were calculated for all vegetation, and separately for trees (>2m) and low vegetation (<2m). LiDAR metadata is available from https://data.gov.uk/dataset/lidar-composite-dsm-1m1. Visual checks were made within ArcGIS to confirm the validity of the buffer strips created upstream of each site, prior to applying them to the LiDAR data. Derived statistics were checked to confirm that the sum of 'Tree' and 'Low' values equalled the relevant 'All' value.
spatial: Location
temporal: PeriodOfTime
  start date: 2014-04-01
  end date: 2014-04-30
publisher: NERC Environmental Information Data Centre
subject: Wessex BESS
type: Dataset
available: 2017-06-26
landing page: https://doi.org/10.5285/61170f63-5ce0-43e3-8b0e-49c5a47bd3d0
license: OGL-UK-3.0.ttl
rights: RightsStatement
  copyright notice: copyright Queen Mary University of London
rights: RightsStatement
  copyright notice: copyright UK Centre for Ecology & Hydrology
access rights: UNRS
distribution:
  access URL: https://data-package.ceh.ac.uk/data/61170f63-5ce0-43e3-8b0e-49c5a47bd3d0
  license: OGL-UK-3.0.ttl
  rights: RightsStatement
    copyright notice: copyright Queen Mary University of London
  rights: RightsStatement
    copyright notice: copyright UK Centre for Ecology & Hydrology
  access rights: UNRS
  format: Comma-separated values (CSV)
creator: Redhead, J.
creator: Murphy, J.
language: en

Murphy, J.
type: Person
family name: Murphy
given name: John
member: Queen Mary University of London

NERC Environmental Information Data Centre
type: Organization

Redhead, J.
type: Person
family name: Redhead
given name: J.
member: Centre for Ecology & Hydrology

Murphy, J.
type: Person
family name: Murphy
given name: J.
member: Queen Mary University of London

Queen Mary University of London
type: Organization

Centre for Ecology & Hydrology
type: Organization