Rothamsted Insect Survey, Moth and Aphid catch abundance data
Daten und Ressourcen
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Moth dataCSV
Year: Year for which all counts were summed Site: Site name Count: Total...
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Aphid dataCSV
Aphid count data for each suction trap site per year. - Year: Year for which...
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The files aphid_linear_estimatesCSV
The files aphid_linear_estimates.csv, aphid_non_linear_estimates.csv,...
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Aphid non linear estimatesCSV
The files aphid_linear_estimates.csv, aphid_non_linear_estimates.csv,...
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Moth linear estimatesCSV
The files aphid_linear_estimates.csv, aphid_non_linear_estimates.csv,...
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Moth non linear estimatesCSV
The files aphid_linear_estimates.csv, aphid_non_linear_estimates.csv,...
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Aphid linear random effectsCSV
The files aphid_random_linear_effects.csv and moth_random_linear_effects.csv...
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Moth linear random effectsCSV
The files aphid_random_linear_effects.csv and moth_random_linear_effects.csv...
Cite this as
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This dataset contains Moth and Aphid catch abundance data from the Rothamsted Insect Survey light-trap and suction trap networks. The dataset is a supplement to Bell et al (2020) (https://doi.org/10.1111/icad.12412) and can be used to reproduce the R analyses presented.
The Rothamsted Insect Survey operates two trap networks throughout the United Kingdom that sample aphids and moths using suction-traps and light-traps, respectively. More information about the network and data collection processes can be found at https://insectsurvey.com/.
Data were extracted from the RIS database ‘Paul’ that holds records of moths and aphids. For each site-year between 1969 and 2016, we calculated the total number of individuals summed across all species caught in that site-year.
The files aphid_linear_estimates.csv, aphid_non_linear_estimates.csv, moth_linear_estimates.csv and moth_non_linear_estimates.csv are linear and non-linear trend predictions derived from the AphidTidy and MothTidy datasets using the poptrend R package summary.trend function. This function is used for computing the yearly estimates.
The files aphid_random_linear_effects.csv and moth_random_linear_effects.csv are random year effects components visible following the call plot.trend when tempRE = TRUE in the call to ptrend.
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Responsible Person | Unknown |
Research Infrastructure Used | Rothamsted Insect Survey NBRI |
Data Locations | Paul |
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