Osório, B.; Redhead, J.W.; Jarvis, S.G.; May, L.; Pywell, R.F.
CEH Land Cover plus: Fertilisers 2010-2015 (England)
(Fertiliser application maps for England (2010-2015))
Cite this dataset as:
Osório, B.; Redhead, J.W.; Jarvis, S.G.; May, L.; Pywell, R.F. (2019). CEH Land Cover plus: Fertilisers 2010-2015 (England). NERC Environmental Information Data Centre. https://doi.org/10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051
Bespoke licensing conditions apply to these data. If you choose to download the data, the CEH Data Licensing team will contact you to negotiate a licence
Download/Access
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 CEH Data Licensing team will contact you to negotiate a licence
Download the data
https://doi.org/10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051
This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015). The estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution. These data were modelled from Defra British Survey of Fertiliser Practice (BSFP) data using a spatial interpolation procedure.
Different uses and potential applications of the produced maps, including the following:
1) Modelling nutrient fate to predict impacts of changes in farming practices (intensification/extensification) on nutrient runoff to water;
2) Estimating greenhouse gases (GHG) emissions due to fertiliser application to crops and grassland (linked with air quality impacts);
3) Quantifying past and future impacts of eutrophication and/or agricultural management on agricultural ecosystems and indicators such as arable plants, farmland birds, pollinators;
4) Linking crop growth models to predict areas where better nutrient management may improve yields;
5) Improving policies aimed at mitigating negative impacts of fertiliser use (e.g. catchment sensitive farming to reduce pollution and/or improve water quality).
This data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).
Different uses and potential applications of the produced maps, including the following:
1) Modelling nutrient fate to predict impacts of changes in farming practices (intensification/extensification) on nutrient runoff to water;
2) Estimating greenhouse gases (GHG) emissions due to fertiliser application to crops and grassland (linked with air quality impacts);
3) Quantifying past and future impacts of eutrophication and/or agricultural management on agricultural ecosystems and indicators such as arable plants, farmland birds, pollinators;
4) Linking crop growth models to predict areas where better nutrient management may improve yields;
5) Improving policies aimed at mitigating negative impacts of fertiliser use (e.g. catchment sensitive farming to reduce pollution and/or improve water quality).
This data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).
Publication date: 2019-02-04
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
2010-01-01 to 2015-12-31
Provenance & quality
These maps were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the 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 British Survey of Fertiliser Practice (BSFP) (DEFRA) 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.
The maps use data from the British Survey of Fertiliser Practice (BSFP) (DEFRA) 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 CEH Data Licensing team will contact you to negotiate a licence
Cite this dataset as:
Osório, B.; Redhead, J.W.; Jarvis, S.G.; May, L.; Pywell, R.F. (2019). CEH Land Cover plus: Fertilisers 2010-2015 (England). NERC Environmental Information Data Centre. https://doi.org/10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051
© UK Centre for Ecology & Hydrology
Related
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
Zhang, Y., Wu, L., Jebari, A., & Collins, A.L. (2024). Impacts of reduced synthetic fertiliser use under current and future climates: Exploration using integrated agroecosystem modelling in the upper River Taw observatory, UK. In Journal of Environmental Management (Vol. 351, p. 119732). Elsevier BV. https://doi.org/10.1016/j.jenvman.2023.119732
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
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
Supplemental information
Correspondence/contact details
Bruno Osório
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
Other contacts
Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/N018125/1
Last updated
28 May 2024 07:08