Quantifying inherent predictability and spatial synchrony in the aphid vector Myzus persicae - field-scale patterns of abundance and regional forecasting error in the UK
(2022)
Dataset
Bell, J. (2022). Quantifying inherent predictability and spatial synchrony in the aphid vector Myzus persicae - field-scale patterns of abundance and regional forecasting error in the UK. [Dataset]. https://doi.org/10.23637/rothamsted.98qvq
Professor James Bell's Outputs (7)
Yearly occurrence of 544 species of moths (UK 1990-2019), with trait values and putative environmental drivers. (2022)
Dataset
Bourhis, Y., Bell, J., Shortall, C., & Milne, A. (2022). Yearly occurrence of 544 species of moths (UK 1990-2019), with trait values and putative environmental drivers. [Dataset]. https://doi.org/10.23637/rothamsted.988z5
Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability - data and code for analysis (2022)
Dataset
Blumgart, D., Botham, M., Menéndez, R., & Bell, J. (2022). Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability - data and code for analysis. [Dataset]. https://doi.org/10.23637/rothamsted.98852This 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... Read More about Moth declines are most severe in broadleaf woodlands despite a net gain in habitat availability - data and code for analysis.
Extracted features from opto-acoustic audio recordings of aphids and beetles (2020)
Dataset
Hassall, K. L., Dye, A., & Bell, J. (2020). Extracted features from opto-acoustic audio recordings of aphids and beetles. [Dataset]. https://doi.org/10.23637/rothamsted.981w8Opto-acoustic recorders have been utilised to record the flight of weak-flying insects including aphids (Hemiptera: Aphididae) and beetles (Coleoptera). These data include 52 extracted features from 4928 audio recordings collected in 2019 and 2020 of... Read More about Extracted features from opto-acoustic audio recordings of aphids and beetles.
Opto-acoustic audio recordings of aphids and beetles (2020)
Dataset
Hassall, K. L., Dye, A., & Bell, J. (2020). Opto-acoustic audio recordings of aphids and beetles. [Dataset]. https://doi.org/10.23637/rothamsted.981w7Opto-acoustic recorders have been utilised to record the flight of weak-flying insects including aphids (Hemiptera: Aphididae) and beetles (Coleoptera). These data include 4928 audio recordings collected in 2019 and 2020 of 8 distinct species.
UK aphid migration percentiles, covariates and model outputs from the Rothamsted Insect Survey's 12.2 m suction-trap network: 1965 to 2018 (2020)
Dataset
Bourhis, Y., Bell, J., Bosch, F., V. D., & Milne, A. (2020). UK aphid migration percentiles, covariates and model outputs from the Rothamsted Insect Survey's 12.2 m suction-trap network: 1965 to 2018. [Dataset]. https://doi.org/10.23637/rothamsted.979yvThis dataset contains a measure of aphid arrival, the day of 1% detection (D1D), i.e. the Julian day at which 1% of the yearly aphid abundance has been captured. It is measured for 14 aphid species across the UK, from 1965 to 2018, by the Rothamsted... Read More about UK aphid migration percentiles, covariates and model outputs from the Rothamsted Insect Survey's 12.2 m suction-trap network: 1965 to 2018.
Rothamsted Insect Survey, Moth and Aphid catch abundance data (2020)
Dataset
Bell, J., Blumgart, D., & Shortall, C. (2020). Rothamsted Insect Survey, Moth and Aphid catch abundance data. [Dataset]. https://doi.org/10.23637/rothamsted.975qzThis 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... Read More about Rothamsted Insect Survey, Moth and Aphid catch abundance data.