Global Crop Yield Loss from Ozone Pollution, 2010-2012

Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2 provides modelled global yield loss percentages for maize, rice, soybean, and wheat. The data, produced by the Environmental Information Data Centre for the NERC-funded SUNRISE project, is based on FAO GAEZ production data and EMEP MSC-W chemical transport model outputs. It highlights the impact of ground-level ozone on agriculture and identifies high-risk areas for mitigation.

Use Cases

• Assessing regional food security risks based on modelled ozone-induced yield loss percentages.
• Prioritizing agricultural zones for air quality mitigation efforts using high-risk area identification.
• Validating or calibrating other atmospheric or crop models with the EMEP MSC-W derived ozone data.
• Analyzing the economic impact of ozone pollution on major staple crops at a 1-degree grid scale.

Strengths

• Provides a global-scale analysis covering four major staple crops (maize, rice, soybean, wheat).
• Based on established models: FAO GAEZ production data and the EMEP MSC-W chemical transport model (v4.16).
• Funded by recognized research projects (NERC SUNRISE project NEC06476 and NC-Air project NEC05574).

Limitations

• Crop production data is from the year 2000, which may not reflect contemporary agricultural distributions.
• Key metadata such as row count, specific column names, and license information is missing from all platform entries.
• The modelled ozone and yield loss data is for a specific historical period (2010-2012), limiting current applicability.

Provenance

Source

Environmental Information Data Centre, as part of NERC-funded SUNRISE and NC-Air projects.

Collection Method

Modelled yield loss calculations derived from FAO GAEZ crop production data and EMEP MSC-W chemical transport model outputs.

Time Range

2010-2012 (for modelled ozone data). Underlying crop production data is from 2000.

Freshness

Last updated on one platform: 2026-04-16.

Geography

Global, presented per 1 degree by 1 degree grid cell.