N - Datasets
Bell, J. R. 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. Rothamsted Research. https://doi.org/10.23637/rothamsted.98qvq
Authors | Bell, J. R. |
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Abstract | Data set contains daily Myzus counts recorded at Brooms Barn for the permutation entropy analysis as detailed in section 2.4.4 of the published paper in Pest Management Science. p. 7292. |
Year of Publication | 2022 |
Publisher | Rothamsted Research |
Digital Object Identifier (DOI) | https://doi.org/10.23637/rothamsted.98qvq |
Keywords | Myzus persicae |
Publication dates | |
Online | 09 Dec 2022 |
Publication process dates | |
Accepted | 09 Dec 2022 |
Funder | Biotechnology and Biological Sciences Research Council |
Related Output | |
Is cited by | https://doi.org/10.1002/ps.7292 |
Funder project or code | The Rothamsted Insect Survey - National Capability [2017-2023] |
Data files | Copyright license CC BY 4.0 Data type Spreadsheet Contents Data File Access Level Open |
Geographic location | East Anglia. Geographic region bounding box (52.259680, 0.570060) to (, ) |
Data collection method | 12.2 m Suction traps |
Data preparation and processing activities | All data were prepared by Suzanne Clark, Rothamsted. |
Permalink - https://repository.rothamsted.ac.uk/item/98qvq/quantifying-inherent-predictability-and-spatial-synchrony-in-the-aphid-vector-myzus-persicae-field-scale-patterns-of-abundance-and-regional-forecasting-error-in-the-uk