Beresford, N.A.; Barnett, C.L.
Data for lead (Pb) in terrestrial wildlife and resultant taxonomic models
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
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This dataset is made available under the terms of the Open Government Licence
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https://doi.org/10.5285/2bd9bd0e-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.
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
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
Related
This dataset is included in the following collections
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
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Authors
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
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