Cite this dataset as
Williams, R., Dunn, A., Mendes da Costa, L., Hassall, C. (2021). Presence and environmental data for the non-native common wall lizard (Podarcis muralis) in England, 2016-2018. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/8ae3f9ef-9a75-4237-afbd-e01abe02e75b
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This dataset is available under the terms of the Open Government Licence 
Presence and environmental data for the non-native common wall lizard (Podarcis muralis) in England, 2016-2018
The datasets contains species presence and background points, and their associated environmental data for non-native common wall lizard (Podarcis muralis). These data are included for local and national scale modelling of likelihood of species presence, as used in the modelling software MaxEnt. The .asc files included are the raw spatial data of parameters (i.e., distance to nearest road) used in modelling at various local regions, from which SWD 'samples with data' were extracted. Outputs from the local MaxEnt models produced the .txt files included. These serve as landscape layer inputs (habitat suitability and movement cost layers) for modelling population growth and spatial spread in the Individual based modelling platform, RangeShifter.
Subsequent outputs of projected population growth (number of individuals per landscape cell) and x/y coordinates for each cell, are presented in files with the prefix Pop.csv and avg.csv (averaged data over 50 replicate runs).
Subsequent outputs of projected population growth (number of individuals per landscape cell) and x/y coordinates for each cell, are presented in files with the prefix Pop.csv and avg.csv (averaged data over 50 replicate runs).
Publication date: 2021-01-20
View record as
Formats
Comma-separated values (CSV)
txt
ASCII
Spatial information
- Study area
-
- Spatial representation types
-
Tabular (text)
Raster - Spatial reference system
- OSGB 1936 / British National Grid
Temporal information
- Temporal extent
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2016-01-01 to 2018-12-31
Provenance & quality
Presence data were obtained through field surveys and collation of citizen science reports recorded on the online platform bit/ly.uk.lizards. Records submitted by the public were verified through site visits. Spatial data of environmental parameters for modelling at local level were generated in ArcGIS, using inputs from OS data sourced from Digimap.edina.co.uk
Correspondence/contact details
Authors
https://orcid.org/0000-0003-3706-4510
Mendes da Costa, L.
University of Leeds
Other contacts
- Rights holder
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University of Leeds
- Custodian
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NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
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NERC Environmental Information Data Centreinfo@eidc.ac.uk