Quantifying inherent predictability and spatial synchrony in the aphid vector Myzus persicae - field-scale patterns of abundance and regional forecasting error in the UK

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

AuthorsBell, J. R.
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 Publication2022
PublisherRothamsted Research
Digital Object Identifier (DOI)https://doi.org/10.23637/rothamsted.98qvq
KeywordsMyzus persicae
Publication dates
Online09 Dec 2022
Publication process dates
Accepted09 Dec 2022
FunderBiotechnology and Biological Sciences Research Council
Related Output
Is cited byhttps://doi.org/10.1002/ps.7292
Funder project or codeThe Rothamsted Insect Survey - National Capability [2017-2022]
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.

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