181a7dd5-0fd4-482a-afce-0fa6875b5fb3
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-03-01T12:22:31
UK GEMINI
2.3
WGS 84
Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012)
2020-01-24
publication
2017-12-15
creation
https://catalogue.ceh.ac.uk/id/181a7dd5-0fd4-482a-afce-0fa6875b5fb3
10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3
doi:
Sharps, K., Mills, G. , Simpson, D. , Pleijel, H. , Frei, M. , Burkey, K. , Emberson, L. , Uddling, J. , Broberg, M. , Feng, Z., Kobayashi, K., Agrawal, M. (2020). Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012). NERC Environmental Information Data Centre 10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3
[THIS DATASET HAS BEEN WITHDRAWN]. Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. The yield loss calculations were done as part of the NERC funded SUNRISE project (NEC06476). Full details about this dataset can be found at https://doi.org/10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3
Sharps, K.
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-3265-1505
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Mills, G.
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
author
Simpson, D.
Norwegian Meteorological Institute
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-9538-3208
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Pleijel, H.
University of Gothenburg
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-6975-5984
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Frei, M.
University of Bonn
enquiries@ceh.ac.uk
http://orcid.org/0000-0002-2474-6558
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Burkey, K.
United States Department of Agriculture – Agricultural Research Service (USDA‐ARS),
enquiries@ceh.ac.uk
author
Emberson, L.
Stockholm Environment Institute at York
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-3463-0054
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Uddling, J.
University of Gothenburg
enquiries@ceh.ac.uk
author
Broberg, M.
University of Gothenburg
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-5370-4894
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Feng, Z.
Chinese Academy of Sciences
enquiries@ceh.ac.uk
author
Kobayashi, K.
The University of Tokyo
enquiries@ceh.ac.uk
author
Agrawal, M.
Banaras Hindu University
enquiries@ceh.ac.uk
author
Dr. Katrina Sharps
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
pointOfContact
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
owner
notPlanned
Environmental Monitoring Facilities
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
Superseded
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
© UK Centre for Ecology & Hydrology
otherRestrictions
© Norwegian Meteorological Institute
otherRestrictions
© University of Gothenburg
otherRestrictions
© University of Bonn
otherRestrictions
© United States Department of Agriculture
otherRestrictions
© Stockholm Environment Institute at York
otherRestrictions
© Chinese Academy of Sciences
otherRestrictions
© The University of Tokyo
otherRestrictions
© Banaras Hindu University
otherRestrictions
If you reuse this data, you should cite: Sharps, K., Mills, G. , Simpson, D. , Pleijel, H. , Frei, M. , Burkey, K. , Emberson, L. , Uddling, J. , Broberg, M. , Feng, Z., Kobayashi, K., Agrawal, M. (2020). Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012). NERC Environmental Information Data Centre https://doi.org/10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3
vector
100000
English
utf8
farming
2010-06-01
2012-06-01
-180
180
-90
90
Shapefile
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/sd/181a7dd5-0fd4-482a-afce-0fa6875b5fb3.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
A 1 degree by 1 degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1 degree by 1 degree grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss. Each grid cell was classed as either irrigated (greater than 75 percent irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climatic zone. For each hemisphere/climatic zone combination, a 90-day growing period was set, based on the main growing season per year for each crop. The EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre‐West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate specific growing period for the cell, and an average value calculated for the period 2010-2012. Yield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period. The equation used to calculate percentage yield loss was as follows: percentage Yield Loss = (POD3IAM – 0.1) * 0.64 where 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM. For maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. Percentage yield loss values were added to the 1 degree by 1 degree grid and saved as GIS shapefiles, one per crop for ingestion into the EIDC. An evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.