Cite this dataset as
Szczur, J.; Rayner, M.; Stoate, C. (2021). Wild bee abundance and species richness, survey data from Leighfield Forest, Leicestershire and Rutland, 2020. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/4f4d2ef6-2f31-4aa6-aa1a-fe79cc6d6b04
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This dataset will be available under the terms of the Open Government Licence 
Wild bee abundance and species richness, survey data from Leighfield Forest, Leicestershire and Rutland, 2020
This dataset contains records on the abundance and species richness of wild bees along transects in ten 1x1 km survey squares of the Leighfield forest region of Leicestershire and Rutland, UK collected in the Spring and Summer of 2020. The dataset also contains a 10 m resolution raster land cover map of the survey sites and spatially referenced GIS files of the survey transect paths. The work was carried out by the data authors to assess pollinator abundance and species richness within the rural landscape of Leighfield Forest. The research was funded through NERC Grant Reference : NE/L002493/1Central England NERC Training Alliance (CENTA)
Publication date: 2021-05-10
Where/When
- Study area
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- Temporal extent
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2020-05-08 to 2020-08-06
Provenance & quality
Records on the abundance and species richness of wild bees were collected across 20 field days via transect and pan trap surveys during the Spring and Summer of 2020. Species records were sense checked by the surveying ecologist, and double checked by the collating ecologist. Data were recorded on filedsheets and entered in spreadsheets. Data were exported as comma seperated files for deposit into the EIDC.
The 10 m resolution raster land cover map was produced through a random forest classification of Sentinel-2 satellite imagery, accessed and classified in Google Earth Engine. Classification accuracy was assessed at 89.1% through a confusion matrix of 700 random points across the mapped area.
The 10 m resolution raster land cover map was produced through a random forest classification of Sentinel-2 satellite imagery, accessed and classified in Google Earth Engine. Classification accuracy was assessed at 89.1% through a confusion matrix of 700 random points across the mapped area.
Correspondence/contact details
Authors
Szczur, J.
Game and Wildlife Conservation Trust
https://orcid.org/0000-0002-5731-2115 Other contacts
- 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
- Rights Holder
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Game and Wildlife Conservation Trustinfo@gwct.org.uk
Additional metadata
- Topic categories
- Biota
- Keywords
- Biodiversity, Land cover, Leighfield Forest, Pollinators, Wild bee
- INSPIRE Theme
- Environmental Monitoring Facilities
- Funding
- Natural Environment Research Council Award: NE/L002493/1
- Spatial representation types
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Vector
Tabular (text) - Spatial reference system
- OSGB 1936 / British National Grid
- Last updated
- 04 May 2022 15:25