Professor James Bell j.r.bell@keele.ac.uk
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
Authors
Citation
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
| Acceptance Date | Dec 9, 2022 |
|---|---|
| Online Publication Date | Dec 9, 2022 |
| Publication Date | Dec 9, 2022 |
| Deposit Date | Feb 6, 2024 |
| Publicly Available Date | Feb 6, 2024 |
| DOI | https://doi.org/10.23637/rothamsted.98qvq |
| Publisher URL | 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 |
| Collection Date | Dec 9, 2022 |
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