Beresford, N.A.; Barnett, C.L.

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

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

Get the data

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

Format of the dataset : Comma-separated values (CSV)

You must cite: 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

 

© Centre for Ecology & Hydrology (Natural Environment Research Council)

Where/When

Study area

Supplemental information

This dataset is a supplement to:

Beresford, N. A., & Willey, N. (2019). Moving radiation protection on from the limitations of empirical concentration ratios. Journal of Environmental Radioactivity, 208–209, 106020.

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)).

Correspondence/contact details

Beresford, N.A.
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

Custodian
Environmental Information Data Centre
eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
eidc@ceh.ac.uk

Spatial

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

Tags

Topic categories
Environment
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 Lead,  Ledum Lumbricus Luzula Maireana Microtus Molinia Myodes Myrtus Odocoileus Olea Pb,  Pelophylax Phillyrea Picea Pinus Pistacia Pollution Polytrichum Puccinellia Quercus Radioecology,  Rana REML,  residual maximum likelihood,  Rhagodia Rubia Rumex Ruscus Salix Schoenoplectus Senna Sesbania Sorex Tamarix Taraxacum Tortula TREE,  Trifolium Triturus Vaccinium Vachellia Viburnum Vipera Vitis
INSPIRE Theme
Environmental Monitoring Facilities