Date (Publication)

2019-07-23

Identifier

https://catalogue.ceh.ac.uk/id/e7e0e4ad-f8c1-46fc-85b5-6d88057024b8

Identifier

doi: / 10.5285/e7e0e4ad-f8c1-46fc-85b5-6d88057024b8

Other citation details

Harrower, C.A., Bell, J.R., Blumgart, D., Botham, M.S., Fox, R., Isaac, N.J.B., Roy, D.B., Shortall, C.R. (2019). UK moth trends from Rothamsted Insect Survey light-trap network (1968 to 2016). NERC Environmental Information Data Centre 10.5285/e7e0e4ad-f8c1-46fc-85b5-6d88057024b8

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

Keywords

• Biodiversity
• Environmental survey
• ASSIST

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Superseded

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This resource is available under the terms of the Open Government Licence

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© UK Centre for Ecology & Hydrology

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otherRestrictions Other restrictions

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© Rothamsted Research

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© Butterfly Conservation

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If you reuse this data, you should cite: Harrower, C.A., Bell, J.R., Blumgart, D., Botham, M.S., Fox, R., Isaac, N.J.B., Roy, D.B., Shortall, C.R. (2019). UK moth trends from Rothamsted Insect Survey light-trap network (1968 to 2016). NERC Environmental Information Data Centre https://doi.org/10.5285/e7e0e4ad-f8c1-46fc-85b5-6d88057024b8

Spatial representation type

textTable Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Biota

Begin date

1968-01-01

End date

2016-12-31

Unique resource identifier

OSGB 1936 / British National Grid

Distribution format

• Comma-separated values (CSV) ()

Hierarchy level

dataset Dataset

Other

dataset

Statement

The Rothamsted light-trap network is a network of standardised light-traps that are operated throughout the year by volunteers. Using standardised traps means that the data from different sites and/or times are directly comparable. Although for the majority of species the time period of the data used in the analysis was 1968-2016, there was a handful of species of species where the time period had to be modified due taxonomic or data issues. For example the time period used for many pug species in the analysis was 1986 onwards due to inconsistency in the identification of these species in earlier years through a lack of suitable identification resources such as field guides. A few other species had initial years excluded due to data issues in those earlier years. The GAI methodology is a two-step statistical method designed to analyse count data for taxa showing seasonal patterns in abundance, such as Butterflies and Moths. The first step uses statistical models, in this case generalised additive models (GAMs) with a smoothing spline, to estimate annual flight curves for each species. The second stage takes these annual flight curves and uses them to correct for seasonal gaps in recording, producing estimated annual abundance indices for each site (site indices), to which a Poisson general linear model (GLM) is fitted allowing to the year and sites effects upon the site. The year coefficient from these GLMs are one of the measures of the temporal abundance trend presented in this data. In addition to the coefficient itself two additional metrics of temporal trend were estimated and are presented here, specifically the Annual Growth Rate (AGR) and the total percentage change over the time series for each species. Confidence intervals on the trend metrics were determined by bootstrapping (1000 replicates). The research was primarily funded by Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) under research programme NE/N018125/1 LTS-M ASSIST – Achieving Sustainable Agricultural Systems. The Rothamsted Insect Survey, a National Capability, is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200. The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

File identifier

e7e0e4ad-f8c1-46fc-85b5-6d88057024b8 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

2026-01-09T12:56:43

Metadata standard name

UK GEMINI

Metadata standard version

2.3