Top Description Format Spatial information Temporal information Provenance & quality Licensing & constraints Related records Citations Correspondence Authors Additional metadata Funding Download/Access

Jarvis, S.G.; Redhead, J.W.; Henrys, P.A.; Risser, H.A.; Da Silva Osório, B.M.; Pywell, R.F.

CEH Land Cover plus: Pesticides 2012-2017 (England, Scotland and Wales)

Download data Supporting docs Cite this dataset

PLEASE NOTE:

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence

Download the data

https://doi.org/10.5285/99a2d3a8-1c7d-421e-ac9f-87a2c37bda62

This is the most recent version of this dataset

CEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland. The product provides application estimates for 162 different active ingredients including herbicides, insecticides, molluscicides and fungicides. It is produced at a 1km resolution with units of kg active ingredient applied per year, averaged between 2012 and 2017. Pesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, using information from CEH Land Cover® Plus: Crops 2015, 2016 and 2017 to determine where each crop is grown. Pesticide application data is provided by the Pesticide Usage Survey. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product builds upon the Centre for Ecology & Hydrology (CEH) Land Cover® Plus: Crops product.

These maps were created under the NERC funded ASSIST (Achieving Sustainable Agricultural Systems) project to enable exploration of the impacts of agrochemical usage on the environment, enabling farmers and policymakers to implement better, more sustainable agricultural practices.

Publication date: 2020-03-24

4 citations

108 downloads *

2,082 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 11 November 2021 (information prior to this was not collected)

Format

TIFF

Spatial information

Study area

Spatial representation type

Raster

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

2012-01-01 to 2017-12-31

Provenance & quality

These maps were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the UK Centre for Ecology & Hydrology to enable exploration of the impacts of agrochemical usage on the environment, enabling farmers and policymakers to implement better, more sustainable agricultural practices.

The maps use data from the Fera Pesticide Utilisation Surveys (PUS), SASA Pesticide Survey Unit and CEH Land Cover® plus: Crops and have been assessed for quality. For further information, please see the supporting documentation available with this data product.

Licensing and constraints

Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence

Cite this dataset as:

Jarvis, S.G.; Redhead, J.W.; Henrys, P.A.; Risser, H.A.; Da Silva Osório, B.M.; Pywell, R.F. (2020). CEH Land Cover plus: Pesticides 2012-2017 (England, Scotland and Wales). NERC Environmental Information Data Centre. https://doi.org/10.5285/99a2d3a8-1c7d-421e-ac9f-87a2c37bda62

BibTeX RIS

This dataset is included in the following collections

Data from the Achieving Sustainable Agricultural Systems programme (ASSIST)

Citations

Brown, C., Seo, B., Alexander, P., Burton, V., Chacón‐Montalván, E.A., Dunford, R., Merkle, M., Harrison, P.A., Prestele, R., Robinson, E.L., & Rounsevell, M.(2022). Agent‐Based Modeling of Alternative Futures in the British Land Use System. Earth’s Future, 10(11) https://doi.org/10.1029/2022ef002905

Woodcock, B.A., Oliver, A.E., Newbold, L.K., Soon Gweon, H., Read, D.S., Sayed, U., Savage, J., Bacon, J., Upcott, E., Howell, K., Turvey, K., Roy, D.B., Gloria Pereira, M., Sleep, D., Greenop, A., & Pywell, R.F. (2022). Citizen science monitoring reveals links between honeybee health, pesticide exposure and seasonal availability of floral resources. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-18672-0

Corcoran, E., Afshar, M., Curceac, S., Lashkari, A., Raza, M.M., Ahnert, S., Mead, A., & Morris, R. (2023). Current data and modeling bottlenecks for predicting crop yields in the United Kingdom. In Frontiers in Sustainable Food Systems (Vol. 7). Frontiers Media SA. https://doi.org/10.3389/fsufs.2023.1023169

Upcott, E.V., Henrys, P.A., Redhead, J.W., Jarvis, S.G., & Pywell, R.F. (2023). A new approach to characterising and predicting crop rotations using national-scale annual crop maps. In Science of The Total Environment (Vol. 860, p. 160471). Elsevier BV. https://doi.org/10.1016/j.scitotenv.2022.160471