Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016)
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- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2020-04-20
- Identifier
- doi: / 10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583
- 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. (2020). Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016). NERC Environmental Information Data Centre 10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583
- GEMET - INSPIRE themes, version 1.0 ()
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- Environmental Monitoring Facilities
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- © UK Centre for Ecology & Hydrology
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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. (2020). Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016). NERC Environmental Information Data Centre https://doi.org/10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583
- Spatial representation type
- textTable
- Distance
- 10000 urn:ogc:def:uom:EPSG::9001
- Topic category
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- Biota
- Begin date
- 1968-01-01
- End date
- 2016-12-31
Distribution Information
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Comma-separated values (CSV)
()
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Comma-separated values (CSV)
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- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- 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).
Metadata
- File identifier
- 0a7d65e8-8bc8-46e5-ab72-ee64ed851583 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-02-27T16:14:52
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3