Identification

Title

Yield Constraint Score (YCS) for the effect of five crop stresses on global production of four staple food crops

Abstract

A Yield Constraint Score (YCS; scale of 1-5) was developed for the effect of five key crop stresses (ozone, pests and diseases, soil nutrients, heat stress and aridity) on the production of the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum). Data are on a global scale at 1 deg by 1deg resolution, 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. To derive the YCS for each crop stress, spatial data on a global scale were gathered. Modelled ozone data (2010-2012) were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Pests and diseases data (2002-2004) were downloaded from a Centre for Agriculture and Biosciences International (CABI) database providing estimates for pre-harvest crop losses due to weeds, animal, pathogens and viruses, compiled from the literature. Soil nutrient classifications (for 2009, derived using soil attributes from the Harmonized World Soil Database (HWSD)) were downloaded from the GAEZ data portal. A heat stress index was calculated using daily temperature data (1990-2014) to determine whether the temperature within a 30-day thermal-sensitive period exceeded crop tolerance thresholds. Global Aridity Index data (1950-2000) were downloaded from the Consultative Group for International Agricultural Research’s Consortium for Spatial Information (CGIAR-CSI). The Yield Constraint Score provides an indication of where each stress is predicted to be affecting crop yield globally and the magnitude of the effect. The YCS data were developed as part of the NERC funded SUNRISE project and the National Capability Project NC-Air quality impacts on food security, ecosystems and health. Full details about this dataset can be found at https://doi.org/10.5285/d347ed22-2b57-4dce-88e3-31a4d00d4358

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/d347ed22-2b57-4dce-88e3-31a4d00d4358

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/d347ed22-2b57-4dce-88e3-31a4d00d4358.zip

name: Supporting information

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

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/d347ed22-2b57-4dce-88e3-31a4d00d4358

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

Wikidata

reference date

date type

creation

effective date

2012-10-29

Keyword set

keyword value

Sunrise

Air Pollution

Yield Loss

Ozone

O3

Pests

Diseases

Soil

Aridity

Heat Stress

Crop Yield

soy bean

wheat

maize

rice

Geographic location

West bounding longitude

-180

East bounding longitude

180

North bounding latitude

90

South bounding latitude

-90

Temporal reference

Temporal extent

Begin position

1950-01-01

End position

2014-12-31

Dataset reference date

date type

publication

effective date

2020-07-20

Frequency of update

Quality and validity

Lineage

A 1° by 1° resolution grid was created using ArcMap. Crop production data (0.0833° resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded for maize, rice, soybean and wheat. 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 >500 tonnes crop production were included when mapping the Yield Constraint Score (YCS). Modelled ozone data (2010-2012) were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Percentage yield loss per grid cell 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. Pests and diseases data (2002-2004) were downloaded from a Centre for Agriculture and Biosciences International (CABI) database providing estimates for pre-harvest crop losses due to weeds, animal, pathogens and viruses, compiled from the literature. Soil nutrient classifications (for 2009, derived using soil attributes from the Harmonized World Soil Database (HWSD)) were downloaded from the GAEZ data portal. A heat stress index was calculated using daily temperature data from the European Centre for Medium-Range Weather Forecasts Integrated Forecasting System (ECMWF) for 1990-2014 to determine whether the temperature within a 30-day thermal-sensitive period exceeded crop tolerance thresholds. Global Aridity Index data (1950-2000) were downloaded from the Consultative Group for International Agricultural Research’s Consortium for Spatial Information (CGIAR-CSI). For ozone and pests, crop yield loss data was used to derive the YCS on a scale of 1-5, with 1 = 0-5% loss; 2 = 5- 10% loss; 3 = 10-25% loss; 4 = 25-40% loss; 5 = >40% loss. Percentage yield loss data was not available for the other 3 crop stresses, therefore categorical classes were used to designate the YCS from 1 (No/very little stress) – 5 (severe stress). The highest yield loss class (>40%) was expected to be comparable to severe stress (i.e. YCS = 5) for all yield constraints. YCS values for each crop stress, and the total YCS (i.e. sum of the score for all stresses) were added to the 1° by 1° resolution grid and saved as GIS shapefiles, with one file per crop. Full detail on the methodology used to obtain data for each crop stress is available in the Supporting Information for this dataset.

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Shapefile

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

© UK Centre for Ecology & Hydrology

Constraint set

Limitations on public access

© Norwegian Meteorological Institute

Constraint set

Limitations on public access

© University of Bonn

Constraint set

Limitations on public access

© Stockholm Environment Institute at York

Constraint set

Limitations on public access

© University of Gothenburg

Constraint set

Limitations on public access

© The University of Tokyo

Constraint set

Limitations on public access

© Banaras Hindu University

Constraint set

Limitations on public access

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). Yield Constraint Score (YCS) for the effect of five crop stresses on global production of four staple food crops. NERC Environmental Information Data Centre https://doi.org/10.5285/d347ed22-2b57-4dce-88e3-31a4d00d4358

Responsible organisations

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

EMEP MSC‐W, Norwegian Meteorological Institute

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Gothenburg

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Institute of Crop Science and Resource Conservation, University of Bonn

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

United States Department of Agriculture – Agricultural Research Service (USDA‐ARS)

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Stockholm Environment Institute at York

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Gothenburg

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Gothenburg

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐Environmental Sciences, Chinese Academy of Sciences

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Tokyo

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Institute of Science, Banaras Hindu University

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

publisher

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2023-02-09T11:51:15

Metadata language

eng