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Quantifying the Status of Great Crested Newts (Triturus cristatus) in Wales (2014)

The Great Crested Newt (Triturus cristatus) is declining in the United Kingdom despite full European-level protection. Reporting on the species status to the EU is carried out at UK level but nature conservation is a devolved function. Knowledge and quantification of the Great Crested Newts status in Wales will therefore forms part of future UK wide reporting. The purpose of this GIS based dataset was to: (i) Demonstrate the applicability of GIS techniques to quantification of conservation status parameters and predictive mapping; and, (ii) Produce regional, fine-scale spatial outputs (at 25 m resolution) which could be aggregated to create an objective quantification of spatial metrics for the Great Crested Newt across Wales. Combined model outputs were good to excellent (AUC 0.71 to 0.86) and successfully quantified range (7,312 km squared), population (3,271 occupied ponds) and habitat (2,2170 km squared) parameters, as well as suggesting a proxy quantification for habitat quality (810 high quality ponds). Article 17 reporting is based on quantification of four parameters: range, population, habitat for the species, and future prospects. Range: The defined range for the great crested newt in Wales is calculated using a convex hull algorithm in the R statistical software. The input data consisted of a collection of all known presence locations. The alpha value used was 8,000, arrived at by trialling several values and selecting the one most representative of the observed core distribution in Wales. Population: Population is number of populations, equating to number of occupied ponds. To determine this number for Wales, the EQSS threshold for each model was used to determine the areas in which suitable ponds might be found. The suitable habitat was then clipped to the known range of the species in Wales and subsequently used to clip a UK wide pond dataset, extracted from Mastermap. Habitat for the species: The EQSS outputs were converted into polygons, from which total area in km squared was derived. This area was then clipped to the known range of Great Crested Newts in Wales to provide an estimate of the suitable habitat available to the species within their range. Future Prospects: It theoretically includes all factors potentially impacting great crested newts at sites and/or larger scales including (but not limited to) legislation, climate or site-specific factors. The UKs latest Article 17 report for the great crested newt lists Future Prospects as unknown. With application of the modelling processes described in the present report to Scotland and regions of England, confidence in habitat and population metrics could be improved to allow a UK-wide assessment of Future Prospects.

  • Identification
  • Extent
  • Distribution
  • Quality
  • Keywords
  • Spatial Reference System
  • Content
  • Constraints
  • Maintenance
  • Metadata

Identification

Identifier
NRW_DS115877
Alternative Title
  • Mesur Statws y Fadfall Gribog yng Nghymru (2014)
Metadata Language
English
Lineage

This dataset combines GIS model outputs from previous studies for Anglesey and North East Wales, Powys and Brecon Beacons National Park, and South Wales (Gower to Monmouthshire) to derive robust, repeatable Great Crested Newt status metrics for the species across its distribution in Wales. Most Great Crested Newts record data collected by volunteers, but this analysis carried out by professional ecologists so confidence in this dataset is overall high. Fine-scale GIS outputs specifically to inform Great Crested Newt status in Wales were generated from Maximum Entropy Modelling (MaxEnt; also known as Multinomial Logistic Regression) for (i) Anglesey (ii) North East Wales (Flintshire, Denbighshire and Wrexham), (iii) Powys and Brecon Beacons National Park and (iv) South Wales (Gower Peninsula to Monmouthshire). These four areas, delimited by modern Welsh unitary authority boundaries, encompass the overwhelming majority of the natural range of Great Crested Newts in the country. The present study describes the aggregation of model outputs, and the generation of accurate and objective all-Wales status metrics which can be repeated to assess possible status changes in Wales, and could be applied to other regions and countries of the UK. Combining model outputs: The Equal Training Sensitivity and Specificity (EQSS) threshold was used to delineate areas of suitable Great Crested Newt habitat. Final combined outputs were clipped by the boundary of Wales for display and calculation purposes.

Dataset Reference Date (Publication)
2014-07-31
Owner
  Amphibian and Reptile Conservation
655A Christchurch Road, Bournemouth, Dorset, BH1 4AP, England
http://www.arc-trust.org/
Owner
  Natural Resources Wales (NRW)
Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales
http://naturalresources.wales/?lang=en
Originator
  Amphibian and Reptile Conservation
655A Christchurch Road, Bournemouth, Dorset, BH1 4AP, England
http://www.arc-trust.org/
 

Extent

Extent

Geographic Extent
Wales (WLS)
N
W
E
S
Map representing the geographic extent of the dataset


 
 

Distribution

Format Type and Description
  • Documents ()

    Specification

    [A] A pdf of the report is available in Ffynnon: NRW-15-014399 [B] Raw data for modelling is held by the ARC Trust

 

Quality

Data quality

Quality Scope
Dataset
Conformity
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Explanation
Degree
false
Lineage

This dataset combines GIS model outputs from previous studies for Anglesey and North East Wales, Powys and Brecon Beacons National Park, and South Wales (Gower to Monmouthshire) to derive robust, repeatable Great Crested Newt status metrics for the species across its distribution in Wales. Most Great Crested Newts record data collected by volunteers, but this analysis carried out by professional ecologists so confidence in this dataset is overall high. Fine-scale GIS outputs specifically to inform Great Crested Newt status in Wales were generated from Maximum Entropy Modelling (MaxEnt; also known as Multinomial Logistic Regression) for (i) Anglesey (ii) North East Wales (Flintshire, Denbighshire and Wrexham), (iii) Powys and Brecon Beacons National Park and (iv) South Wales (Gower Peninsula to Monmouthshire). These four areas, delimited by modern Welsh unitary authority boundaries, encompass the overwhelming majority of the natural range of Great Crested Newts in the country. The present study describes the aggregation of model outputs, and the generation of accurate and objective all-Wales status metrics which can be repeated to assess possible status changes in Wales, and could be applied to other regions and countries of the UK. Combining model outputs: The Equal Training Sensitivity and Specificity (EQSS) threshold was used to delineate areas of suitable Great Crested Newt habitat. Final combined outputs were clipped by the boundary of Wales for display and calculation purposes.

 

Keywords

Keywords

GEMET - INSPIRE themes, version 1.0
  • Species distribution
Type
Theme

Citation

Date (Publication)
2008-06-01
Code
geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme

Keywords

NRW Thesaurus
  • great crested newts
  • triturus cristatus
  • protected species
  • modelling
  • Favourable Conservation Status (favourable condition)
  • ecological connectivity
Type
Theme

Citation

Date (Publication)
2023-12-31
Code
geonetwork.thesaurus.local.theme.converted_nrw-keywords
 

Spatial Reference System

Code
British National Grid (EPSG::27700)
 

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

The raw datasets associated with the model outputs are wholly owned by Amphibian and Reptile Conservation Trust. NRW does not hold a copy of the data; enquirers are advised to obtain a copy from the owner/originator directly, rather than NRW. NRW may NOT publish or disseminate it in its entirety. The model output screen shots held within the report Quantifying the Status of Great Crested Newts in Wales. French GCA, Wilkinson JW, Fletcher DH, and Arnell AP. 2014. NRW Science Report 31, are wholly owned by NRW. There are no access restrictions on these screenshots. NRW may release, publish or disseminate these freely.

 

Use Constraints

Use constraints type
Other restrictions
Other constraints

© Amphibian and Reptile Conservation Trust, 2014. NRW does NOT grant permission to third parties to re-use or disseminate the raw dataset. Those seeking such permission should approach the originator directly. However the following applies to the model outputs and screen shots held within the report Quantifying the Status of Great Crested Newts in Wales.French GCA, Wilkinson JW, Fletcher DH, and Arnell AP. 2014. NRW Science Report 31. © CNC/NRW, 2014. There are no use restrictions on these screen shots. Recipients may re-use, reproduce, disseminate this data free of charge in any format or medium, provided they do so accurately, acknowledging both the source and NRW's copyright, and do not use it in a misleading context. It is the recipient's responsibility to ensure the data is fit for the intended purpose, that dissemination or publishing does not result in duplication, and that it is fairly interpreted. Advice on interpretation should be sought where required. To avoid re-using old data, users should periodically obtain the latest version from the original source.

 
 
 

Metadata

Metadata

File Identifier
4f4c4942-4343-5764-6473-313135383737 XML
Metadata Language
English
Resource type
Dataset
Metadata Date
2024-05-31T09:42:53.161Z
Metadata Standard Name
NRW
Metadata Standard Version

1.0

pointOfContact
  Natural Resources Wales (NRW)
Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales
http://naturalresources.wales/?lang=en
 
 

Publishing Body

Access the portal
Full access to the portal and metadata.


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