Barbastelle (Barbastella barbastellus) Bat Distribution Model (2011)
The purpose of this data capture was to use a multidisciplinary approach to fill current knowledge gaps in the ecology and conservation requirements of a rare bat, the barbastelle (Barbastella barbastellus). Spatial modelling was used to evaluate the environmental parameters that dictate where the species is able to persist in the UK and to identify areas of high conservation value. The purpose of this data capture for Countryside Council for Wales was to assess and predict the distribution of the species around Wales. The models were created and used my Matthew Zeale, a PhD student at the time. The PhD findings from the models indicated that B. barbastellus is highly dependent on large areas of native mature woodland and is limited in its distribution predominantly by summer climate, although a number of other environmental factors also appear to be important. The data collation and survey undertaken by experienced bat biologist. The results were later submitted as part of a PhD Thesis.
- Identification
- Extent
- Distribution
- Quality
- Keywords
- Spatial Reference System
- Content
- Constraints
- Maintenance
- Metadata
Identification
- Identifier
- NRW_DS114688
- Alternative Title
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- All_Bats.LYR
- Model dosbarthu ystlum du
- Metadata Language
- English
- Lineage
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Matthew Zeale (PhD student from Bristol University) investigated the value of using species distribution modelling (Maxent) for facilitating the identification of Barbastella barbastellus maternity colonies within woodland areas. Two models were developed. Firstly B. barbastellus species distribution was modelled at the UK-wide scale to identify suitable regions in which to conduct searches for maternity colonies. A second model was developed to predict the species' presence or absence within woodlands in a study area in south-west Wales. The predictions made by the latter model were ground-validated by surveying 30 woodlands for B. barbastellus presence using acoustic monitoring and trapping methods. Analysis of the model's performance showed that it predicted B. barbastellus presence/absence to a high degree of accuracy.
- Dataset Reference Date (Publication)
- 2011-12-31
Temporal Extent
- Begin date
- 2010-01-01
- End date
- 2010-12-31
- Topic category
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- Biota
Extent
Extent
- Geographic Extent
- Wales (WLS)
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Distribution
- Format Type and Description
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Geographic Information System
()
- Specification
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GIS layer
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Geographic Information System
()
Quality
Data quality
- Quality Scope
- Dataset
- Lineage
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Matthew Zeale (PhD student from Bristol University) investigated the value of using species distribution modelling (Maxent) for facilitating the identification of Barbastella barbastellus maternity colonies within woodland areas. Two models were developed. Firstly B. barbastellus species distribution was modelled at the UK-wide scale to identify suitable regions in which to conduct searches for maternity colonies. A second model was developed to predict the species' presence or absence within woodlands in a study area in south-west Wales. The predictions made by the latter model were ground-validated by surveying 30 woodlands for B. barbastellus presence using acoustic monitoring and trapping methods. Analysis of the model's performance showed that it predicted B. barbastellus presence/absence to a high degree of accuracy.
Keywords
Keywords
- Type
- Theme
Citation
- Date (Publication)
- 2008-06-01
Keywords
- NRW Thesaurus
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- barbastella barbastellus
- barbastelle bat
- spatial analysis
- Type
- Theme
Citation
- Date (Publication)
- 2023-12-31
Spatial Reference System
Content
Content Information
NRW Profile
Custom Elements
Constraints
Constraints
Limitations on Public Access and Use
- Restriction type
- Other restrictions
Access Constraints Directive
- Limitations
- no limitations
Access Constraints Text
- Other constraints
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Part of this dataset is sensitive and restricted. The sensitive data is as follows; Bat Data. Sensitive data must be kept confidential; general release is not permitted due to risk of harm to the environment or third parties. Sensitive data may only be released under an appropriate NRW Licence. Requests should be referred to NRW's Access to Information Team. Data may be released freely if the sensitive records are removed in advance, or shown only at a coarser scale. [See NRW Operational Guidance Note: NRW Ecological Data exempt from general release under EIR]
Use Constraints
- Use constraints type
- Other restrictions
- Other constraints
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© CNC/NRW and Various Contractors/Volunteers, 2015. Recipients may only re-use sensitive data in strict confidence under the terms of an appropriate NRW Licence. No publication or dissemination is permitted, except if sensitive records are removed in advance, or shown only at a coarser scale.
Metadata
Metadata
- File Identifier
- 4f4c4942-4343-5764-6473-313134363838 XML
- Metadata Language
- English
- Resource type
- Dataset
- Metadata Date
- 2024-05-31T09:37:44.578Z
- Metadata Standard Name
- NRW
- Metadata Standard Version
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1.0