Large Woody Debris Restoration Field Experiment Dataset
Summary
Riverine species and environmental data relating to Thompson et al. (2017) Large woody debris ‘rewilding’ rapidly restores biodiversity in riverine food webs. Journal of Applied Ecology. The purpose of this study was to test for causal evidence of ecological restoration following the introduction of large woody debris in rivers.
Categories
Keywords
N/A
Use limitation statement
There are no public access constraints to this data. Use of this data is subject to the licence identified.
Licence
Open Government LicenceAttribution statement
See Cefas Data Portal for details – link to dataset below.
Technical information
Update frequency
notPlanned
Lineage
Chlorophyll-a and diatom community structure was estimated from stone scrapes; a Hess sampler (0.017m2) with 335µm mesh was used to collect invertebrates and coarse (CPOM) and fine particulate organic matter (FPOM); fish estimates were based on depletion electrofishing; habitat estimates were made using a bathyscope across a grid of fifteen 1 m2 quadrats divided between five equally spaced transects per reach.
Spatial information
Coordinate reference system
N/A
Geographic extent
- Latitude from: 51 to 53
- Longitude from: -2 to 1.5
Metadata information
Language
English
Metadata identifier
7ef25f2e-7443-40d5-bb87-ba98f6e2200d
Published by
Centre for Environment, Fisheries & Aquaculture Science
Contact publisher
data.manager@cefas.gov.ukDataset reference dates
Creation date
16 August 2017
Revision date
31 May 2023
Publication date
25 August 2017
Period
- From: 01 March 2010
- To: 30 April 2011
Related datasets
Search
Data and Supporting Information
Data services and download by area of interest | Link | Action |
---|---|---|
The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download, CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols. | Open link |