Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain
This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only considered 'macro-moths'.) For each group there are three outputs; species richness, model variability and DECIDE recording priority. The outputs summarise across multiple species within each group. The model’s prediction probability of occurrence for individual species is not made available. The outputs are in a raster format on Ordnance Survey National Grid reference system (OSGB) at 100m x 100m resolution. Species richness layers are a modelled prediction of how many species are present at a location. Model variability is used to determine where a model is uncertain about its prediction of species occurrence. Model variability is combined with information about how recently a species had been recorded to produce the DECIDE recording priority. The DECIDE recording priority is a measure to prioritise locations to support adaptive sampling of where to collect species occurrence data to improve species distribution models. Full details about this dataset can be found at
https://doi.org/10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274
Simple
- Date (Publication)
- 2023-07-07
- Date (Creation)
- 2022-11-18
- Identifier
- doi: / 10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274
- Other citation details
- Rolph, S., Mondain-Monval, T.O., August, T., Jarvis, S.G., Wright, E., Fox, R., Pocock, M.J.O. (2023). Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain. NERC EDS Environmental Information Data Centre 10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274
Point of contact
UK Centre for Ecology & Hydrology
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Rolph, S.
https://orcid.org/0000-0001-6755-9456
Author
UK Centre for Ecology & Hydrology
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Mondain-Monval, T.O.
https://orcid.org/0000-0002-6770-2002
- GEMET - INSPIRE themes, version 1.0
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- Environmental Monitoring Facilities
- Wikidata
- GEMET - Concepts, version 4.1.3
- Keywords
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- Biodiversity
- moth
- species distribution model
- adaptive sampling
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Rolph, S., Mondain-Monval, T.O., August, T., Jarvis, S.G., Wright, E., Fox, R., Pocock, M.J.O. (2023). Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274
- Spatial representation type
- grid Grid
- Distance
- 100 urn:ogc:def:uom:EPSG::9001
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Biota
- Environment
N
S
E
W
- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
-
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TIFF
()
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TIFF
()
- OnLine resource
-
Download the data
Download a copy of this data
- OnLine resource
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Outputs are derived from species distribution models (SDMs) fitted to species occurrence data and environmental data. The species occurrence data is from structured surveys and opportunistic species record. Data is from Butterflies for the New Millennium (https://butterfly-conservation.org/our-work/recording-and-monitoring/butterflies-for-the-new-millennium) and the UK Butterfly Monitoring Scheme and the National Moth Recording Scheme. Environmental data used for fitting SDMs included; BIOCLIM variables derived from long term average climate data, altitude, slope, aspect, land-cover (UKCEH land-cover map). SDMs were fitted for species separately using an ensemble modelling approach using four different model types; logistic regression (GLM), general additive model (GAM), random forest (RF) and Maxent (ME). Best performing models for each species were used. Species richness is the summed predicted probability of presence across all species within each group (butterfly, day-flying moths, and night-flying moths). Model variability was calculated using a bootstrapping approach. For each model type, we fit the model 10 times on 90% random subsets of the total species' occurrence dataset. Model variability was calculated as the standard deviation across each model’s predicted probability of occurrence at each location for each species. The model variability was summed across all species within each group to produce the model variability layer. The DECIDE recording priority (where a recorder should visit next) was calculated as a composite of model variability and how recently a record had been made in a location. Specifically, the model variability was down-weighted by the days since each record by dividing by the number of months since last record. In the DECIDE tool (https://decide.ceh.ac.uk), the DECIDE recording priority layer is updated daily as new records are made on iRecord, iNaturalist and iSpot. The data presented here is a snapshot of the layers as of 20-Feb-2023.
- File identifier
- 445381ce-f412-48a0-bc3c-2d0ef4737274 XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-11-13T16:24:21
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available
NERC Data Catalogue Service