• {'logoName' | translate} NRW Data Discovery

Spatial Conservation Status Modelling of the Great Crested Newt (Triturus cristatus) in South Wales (2013).

This dataset was compiled to build on previous related work conducted in North Wales and Powys. 12 Unitary Authorities in south Wales were assessed in terms of their Favourable Conservation Status for great crested newts (Triturus cristatus) using a habitat modelling approach. Project specific aims included assessing: i) known distribution, ii) suitable habitat, iii) survey target areas, iv) important populations for metapopulation connectivity, v) pond and habitat creation areas, and, vi) Local Population Targets (LPTs) for each unitary authority in South Wales, to develop a tool kit which can be used by local planners as an indication as to the presence of great crested newts. This tool kit includes spatially-explicit information in the form of GIS-based mapping (layers) and spreadsheets that will inform conservation priorities and action, land-use planning and other things such as derogation licensing. This project follows on from other recent attempts to describe the status of great crested newts (Triturus cristatus) in the UK and to apply the concept of Favourable Conservation Status (FCS). This is the third and final regional modelling exercise in Wales covering the country's core great crested newt range (Anglesey, NE Wales, Powys and South Wales between Gower and Monmouthshire). The integrated results will enable the first objective Wales-wide assessment of great crested newt status for the country. MaxEnt model testing produced acceptably high values (bigger than 0.7) for the area under the receiver operating characteristic (ROC) curve. Due to limited record numbers in individual Unitary Authorities, NRW built and tested the MaxEnt model with records from all 12 Unitary Authorities.

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

Identification

Identifier
NRW_DS115774
Alternative Title
  • Modelu Statws Cadwraethol Gofodol Madfallod Dŵr Cribog yn Ne Cymru (2013).
Metadata Language
English
Lineage

This research utilises high resolution (25 m) modelling to develop maps and metrics for great crested newts in 12 South Wales Unitary Authorities. High resolution, 1990-2011 great crested newt records were compiled which after quality control consisted of 149 records representing known populations. Distribution modelling software, MaxEnt, was used along with 24 environmental layers and a subset of 108 spatially filtered records, to produce an estimated probability of presence output. These outputs, and known barriers, were used to derive a resistance surface for calculating Least Cost Path distances and corridors between known populations. Graph theory software, Conefor, was run with these distances to produce probability of connectivity indices (dPC) to highlight important populations for maintaining metapopulation connectivity. To delimit pond creation target areas, we selected low pond density areas within modelled suitable habitat and within an appropriate Unitary Development Plan (UDP) designation. We set local population target figures to mitigate putative historical pond losses in each unitary authority, using a reference date of 1843, local pond loss rates and current pond data. We apportioned these targets to appropriate pond creation areas within cost weighted buffers surrounding known populations, or within corridors between them. The ultimate goal for this data was to develop draft Spatial Conservation Status Strategies for great crested newts in the 12 Unitary Authorities that make up the study area.

Additional Information

Associated Report Title: Spatial Conservation Status Modelling of the Great Crested Newt in South Wales (2013) Fletcher DH, Arnell AP, French GCA and Wilkinson JW. NRW Science Report No.30

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
BRO MORGANNWG - THE VALE OF GLAMORGAN
Geographic Extent
ABERTAWE - SWANSEA
Geographic Extent
RHONDDA CYNON TAF - RHONDDA CYNON TAFF
Geographic Extent
CASNEWYDD - NEWPORT
Geographic Extent
CASTELL-NEDD PORT TALBOT - NEATH PORT TALBOT
Geographic Extent
SIR FYNWY - MONMOUTHSHIRE
Geographic Extent
MERTHYR TUDFUL - MERTHYR TYDFIL
Geographic Extent
CAERDYDD - CARDIFF
Geographic Extent
CAERFFILI - CAERPHILL
Geographic Extent
PEN-Y-BONT AR OGWR - BRIDGEND
Geographic Extent
BLAENAU GWENT - BLAENAU GWENT
N
W
E
S
Map representing the geographic extent of the dataset


 
 

Distribution

Format Type and Description
  • Database ()

    Specification

    [A] Data held within the report pdf. format [B] Raw data for model building is held by 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

This dataset has not been assessed for conformance to the referenced INSPIRE regulation.

Degree
false
Lineage

This research utilises high resolution (25 m) modelling to develop maps and metrics for great crested newts in 12 South Wales Unitary Authorities. High resolution, 1990-2011 great crested newt records were compiled which after quality control consisted of 149 records representing known populations. Distribution modelling software, MaxEnt, was used along with 24 environmental layers and a subset of 108 spatially filtered records, to produce an estimated probability of presence output. These outputs, and known barriers, were used to derive a resistance surface for calculating Least Cost Path distances and corridors between known populations. Graph theory software, Conefor, was run with these distances to produce probability of connectivity indices (dPC) to highlight important populations for maintaining metapopulation connectivity. To delimit pond creation target areas, we selected low pond density areas within modelled suitable habitat and within an appropriate Unitary Development Plan (UDP) designation. We set local population target figures to mitigate putative historical pond losses in each unitary authority, using a reference date of 1843, local pond loss rates and current pond data. We apportioned these targets to appropriate pond creation areas within cost weighted buffers surrounding known populations, or within corridors between them. The ultimate goal for this data was to develop draft Spatial Conservation Status Strategies for great crested newts in the 12 Unitary Authorities that make up the study area.

 

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
  • protected sites
  • great crested newts
  • triturus cristatus
  • environmental 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

NRW Related Title

Spatial conservation status modelling of the Great Crested Newt in South Wales

 

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 Spatial Conservation Status Modelling of the Great Crested Newt in South Wales. NRW Science Report Series. Report 30, 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 Spatial Conservation Status Modelling of the Great Crested Newt in South Wales. © 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
4f4c4942-4343-5764-6473-313135373734 XML
Metadata Language
English
Resource type
Dataset
Metadata Date
2025-03-07T17:30:49.882Z
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.


  •   About
  •   Github
  •