Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability - data and code for analysis.
Data and Resources
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ReadmeTXT
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All years all species all sitesCSV
Total number of moths caught of each species at each site in each year across...
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Biomass DFCSV
The estimated biomass (dry weight) for a single moth of each species as...
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Diversity stats completeCSV
The species richness and diversity of moths in each site year calculated...
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Habitat Region trendsCSV
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Habitat region trends readyCSV
These three datasets are modifications of the three datasets above but with...
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Moth traitsCSV
The traits of each moth species.
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Region trendsCSV
These two datasets are essentially the same as Hab_trends.csv but they also...
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Region trends readyCSV
These three datasets are modifications of the three datasets above but with...
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Site infoCSV
Information about the trap sites in the RIS network
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Site year infoCSV
Information about the completeness of sampling in each site-year.
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UK CoastlineCSV
The coordinates of the coastline for Great Britain and Ireland – used in...
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Raw Moth Species dataZIP
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Sindex filesZIP
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Script 1
This script takes the raw moth data in the CSV file...
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Script 2
This script uses the Diversity_stats_complete.csv created above plus the raw...
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Script 3R
This script takes the raw abundance data for each species (saved in...
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Script 4R
This script takes the files in the Sindex_files folder which were produced in...
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Script 5R
This script takes the percentage changes for each species that were estimated...
Cite this as
Name | ORCID | Affiliation |
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This collection of datasets and R code contains all that is necessary to repeat the analysis in the publication "Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability" - Blumgart et al. 2022. It contains moth abundance data collected in the UK by the Rothamsted Insect Survey from 1968 to 2016, and datasets derived from this data. Also included is habitat data derived from the Land Cover Map 2015 provided by the Centre for Ecology and Hydrology and moth species traits. The R scripts can be run on the data provided to carry out the analysis which examines the effect of habitat and species traits on the long-term trends in moth abundance, richness, diversity and biomass. For a full description of each file, see the README file.
Light-traps operated by the Rothamsted Insect Survey. See methods in "Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability" - Blumgart et al. 2022
Many stages of preparation and processing. See R scripts provided, the README doc and methods in "Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability" - Blumgart et al. 2022
Award Number | Award Title | Funder Name |
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Private Information | |
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Responsible Person | Alex Greenslade |
Research Infrastructure Used | Rothamsted Insect Survey NBRI |
Data Locations | Paul Database |
Associated Notebooks | |
Experiment Code Type | |
Experiment Code | |
Withdrawal Reason |