Wheat Yield Resilience Metrics Across English Landscapes Over Ten Years

Ten years of English wheat yield data underpin three derived metrics of crop resilience. The dataset, authored by John W. Redhead from the UK Centre for Ecology & Hydrology, explores relationships between these resilience metrics and landscape composition and configuration at a 10km × 10km scale. It found resilience was uniformly enhanced in landscapes with higher coverage of semi-natural habitats.

Use Cases

• Predicting crop yield stability based on landscape composition metrics.
• Modeling trade-offs between short-term resistance and long-term yield stability in agricultural landscapes.
• Analyzing the impact of semi-natural habitat coverage on crop resilience to environmental perturbations.
• Training models to assess the effect of landscape configuration on ecosystem service delivery for pest control.

Strengths

• Derived from ten years of wheat yield data, providing a longitudinal perspective.
• Includes three distinct resilience metrics (relative function, yield stability, resistance) calculated from the underlying yield data.
• Analysis conducted at a defined 10km × 10km spatial scale, linking ecological patterns to agricultural outcomes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

UK Centre for Ecology & Hydrology

Collection Method

Derived from ten years of English wheat yield data.

Time Range

Ten years (specific years unknown)

Geography

England, analyzed at 10km × 10km grid scale