Date (Publication)

2020-07-15

Date (Creation)

2017-12-15

Identifier

https://catalogue.ceh.ac.uk/id/0aa7911a-ab5f-4b08-a225-28b1e8344d01

Identifier

doi: / 10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01

Other citation details

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 annual average production loss due to ozone damage for four global staple crops 2010-2012. NERC Environmental Information Data Centre 10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01

Maintenance and update frequency

notPlanned Not planned

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

Other constraints

© UK Centre for Ecology & Hydrology

Use constraints

otherRestrictions Other restrictions

Other constraints

© Norwegian Meteorological Institute

Use constraints

otherRestrictions Other restrictions

Other constraints

© University of Bonn

Use constraints

otherRestrictions Other restrictions

Other constraints

© Stockholm Environment Institute at York

Use constraints

otherRestrictions Other restrictions

Other constraints

© University of Gothenburg

Use constraints

otherRestrictions Other restrictions

Other constraints

© The University of Tokyo

Use constraints

otherRestrictions Other restrictions

Other constraints

© Banaras Hindu University

Use constraints

otherRestrictions Other restrictions

Other constraints

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 annual average production loss due to ozone damage for four global staple crops 2010-2012. NERC Environmental Information Data Centre https://doi.org/10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01

Spatial representation type

vector Vector

Distance

100000  urn:ogc:def:uom:EPSG::9001

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Environment
• Farming
• Climatology, meteorology, atmosphere

Begin date

2010-01-01

End date

2012-12-31

Unique resource identifier

WGS 84

Distribution format

• Shapefile ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level

dataset Dataset

Other

dataset

Statement

A 1 degree by 1degree 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° by 1° 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 7% irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climate zone. For each hemisphere/climate 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 and the irrigation class 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. Production loss for each crop was then calculated per grid square using total crop production per grid cell (averaged for 2010-2012) and the estimated yield loss per grid cell, with the following equation: Production loss (thousand tonnes) = Crop production (thousand tonnes) * (percent yield loss/100) Production loss values were added to the 1° by 1° grid and saved as GIS shapefiles, with one file per crop. 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.

File identifier

0aa7911a-ab5f-4b08-a225-28b1e8344d01 XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2024-03-14T15:45:45

Metadata standard name

UK GEMINI

Metadata standard version

2.3