Quantifying inherent predictability and spatial synchrony in the aphid vector Myzus persicae - field-scale patterns of abundance and regional forecasting error in the UK
Bell, James
(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.
[Data Collection]
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.
| Item Type | Data Collection |
|---|---|
| Creators | Bell, James |
| Contributors | Clark, Suzanne |
| Keywords | Myzus persicae |
| Project | The Rothamsted Insect Survey - National Capability [2017-2023] |
| Date | 9 December 2022 |
| Geographic coverage | East Anglia. |
| Bounding Area |
North Latitude East Longitude South Latitude West Longitude UNSPECIFIED UNSPECIFIED 52.2597 0.57006 |
| Data collection method | 12.2 m Suction traps |
| Additional information | https://insectsurvey.com/suction-trap |
| Publisher | Rothamsted Research |
| Digital Object Identifier (DOI) | 10.23637/rothamsted.98qvq |
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ORCID: https://orcid.org/0000-0003-1640-6120


