Published June 5, 2025
| Version 0.2.0
Dataset
Open
Data and code for the manuscript "Meta-analysis reveals negative but highly variable impacts of invasive alien species on terrestrial insects".
Description
Data and R code provided alongside the manuscript "Meta-analysis reveals negative but highly variable impacts of invasive alien species on terrestrial insects". The files attached can be used to repeat the analysis conducted to investigate the impact of invasive alien species on terrestrial insects with a meta-analytic approach.
Please note that data for one study could not be made publicly available due to data-sharing restrictions. Thus, results generated using the publicly available datasets may differ slightly from those reported in the manuscript.
The code scripts can be run in order:
- 1_data_wrangling_and_summary.R uses the extracted_data_for_wrangling_and_analysis.csv data to wrangle and summarise the data. The script also produces the
wrangled_data_for_meta_analytic_models.csv dataset. - 2_abundance_models.R uses the wrangled_data_for_meta_analytic_models.csv data to run the abudance meta-analytic models.
- 3_species_richness_models.R uses the wrangled_data_for_meta_analytic_models.csv data to run the species richness meta-analytic models.
Series information
Version 0.2.0 (June 2025): Updated code to reflect revisions made during manuscript review.
Files
all_extracted_and_wrangled_data_with_calculated_effect_sizes.csv
Files
(1.4 MB)
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md5:cd57375d07811ecd03883583197cef1b
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md5:72ee643ff8d7d13a4fc06ca246feb655
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md5:fcf3a8e01eaf16620dda2d85bcf742d2
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md5:5a8e0de50316940d9928321b0480e866
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Additional details
Funding
- Natural Environment Research Council
- GLobal Insect Threat-Response Synthesis (GLiTRS): a comprehensive and predictive assessment of the pattern and consequences of insect declines NE/V007548/1