445381ce-f412-48a0-bc3c-2d0ef4737274 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:24:21 UK GEMINI 2.3 OSGB 1936 / British National Grid Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain 2023-07-07 publication 2022-11-18 creation https://catalogue.ceh.ac.uk/id/445381ce-f412-48a0-bc3c-2d0ef4737274 10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274 doi: 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 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 Rolph, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6755-9456 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Rolph, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6755-9456 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Mondain-Monval, T.O. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-6770-2002 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author August, T. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1116-3385 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Jarvis, S.G. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-5382-5135 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wright, E. Joint Nature Conservation Committee Emma.Wright@jncc.gov.uk https://orcid.org/0000-0003-3346-0743 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Fox, R. Butterfly Conservation rfox@butterfly-conservation.org https://orcid.org/0000-0001-6992-3522 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Pocock, M.J.O. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4375-0445 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Lepidoptera Wikidata 2012-10-29 creation butterfly lepidopteran biodiversity GEMET - Concepts, version 4.1.3 2019-01-28 creation Biodiversity moth species distribution model adaptive sampling otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 grid 100 English utf8 biota environment -8.648 1.768 49.864 60.861 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/445381ce-f412-48a0-bc3c-2d0ef4737274 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/445381ce-f412-48a0-bc3c-2d0ef4737274.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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.