Part of UKCEH UKCEH logo
UKCEH website
Beresford, N.A.; Barnett, C.L.

Data for lead (Pb) in terrestrial wildlife and resultant taxonomic models

Download/Access
PLEASE NOTE: By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

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

Download the data

Bulk download options

You can use WGET to download data. For example
wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d

Further information and help »

https://doi.org/10.5285/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d
Data comprise concentration ratios for lead and 210Pb in terrestrial wildlife and plants, and residual maximum likelihood (REML) model values for taxons (order, family and genus). Pb was used as an example of the derivation and application of a REML model for terrestrial wildlife species. The model outputs consists of a mean value for each taxa on a common scale after REML adjustment (referred to as the ‘REML mean’) taking account of the random factor (i.e. site). The REML mean value represents a relative scaling value.

Funding for preparing this data set was provided by the TREE project (http://www.ceh.ac.uk/tree) funded by the NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.
Publication date: 2018-12-18
32 downloads *
715 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84

Provenance & quality

REML fitting was performed using the IBM SPSS statistical package (version 24) using ‘Linear Mixed Model’ analysis within which REML fitting is a standard option. Because of the data requirements of the REML analyses, as described above, then different amounts of data were available for the runs at genus, family and order levels. The Akaike information criterion (AIC) was used as an estimator of the relative quality of statistical models (the lower the AIC the better the model). To check that including site as a random factor resulted in a better model, all runs were repeated with site removed (ensuring that an intercept was included for the fixed parameter (i.e. taxon)).

Licensing and constraints

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

Cite this dataset as:
Beresford, N.A.; Barnett, C.L. (2018). Data for lead (Pb) in terrestrial wildlife and resultant taxonomic models. NERC Environmental Information Data Centre. https://doi.org/10.5285/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d

© UK Centre for Ecology & Hydrology

Citations

Beresford, N. A., & Willey, N. (2019). Moving radiation protection on from the limitations of empirical concentration ratios. Journal of Environmental Radioactivity, 208–209, 106020. https://doi.org/10.1016/j.jenvrad.2019.106020

Correspondence/contact details

Beresford, N.A.
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
 enquiries@ceh.ac.uk

Authors

Beresford, N.A.
Centre for Ecology & Hydrology
Barnett, C.L.
Centre for Ecology & Hydrology

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
INSPIRE theme
Environmental Monitoring Facilities
Keywords
Abies , Acacia , Acer , Achillia , Agrostis , Alnus , Alopecurus , Anas , Anguis , Apis , Apodemus , Aporrectodea , Asparagus , Astrebla , Balanites , Bombus , Bothriochloa , Branta , Briza , Bufo , Calamagrostis , Calluna , Campanula , Capparis , Capreolus , Carlina , Cedrus , Centaurea , Cervus , Chamerion , Cirsium , Cistus , Cladonia , Crataegus , Cynodon , Cytisus , Daphne , Dendrodrilus , Deschampsia , Digitalis , Eragrostis , Erica , Eryngium , Festuca , Ficus , Frankenia , Hordeum , Hypericum , Jasminum , Juncus , Juniperus , Larix , Ledum , Lumbricus , Luzula , Maireana , Microtus , Molinia , Myodes , Myrtus , Odocoileus , Olea , Pelophylax , Phillyrea , Picea , Pinus , Pistacia , Pollution , Polytrichum , Puccinellia , Quercus , Rana , Rhagodia , Rubia , Rumex , Ruscus , Salix , Schoenoplectus , Senna , Sesbania , Sorex , Tamarix , Taraxacum , Tortula , Trifolium , Triturus , Vaccinium , Vachellia , Viburnum , Vipera , Vitis
Funding
Natural Environment Research Council Award: NE/L000318/1
Last updated
27 February 2024 16:17