Global Yield Maps for Five Lignocellulosic Bioenergy Crops at 0.5° Resolution

Gridded global yield maps for five key lignocellulosic bioenergy crops—eucalypt, Miscanthus, poplar, switchgrass, and willow—modeled from observational data. Wei Li from Tsinghua University developed these maps using a random forest algorithm based on climatic and soil conditions under current technology and atmospheric CO₂. A combined 'best bioenergy crop' yield map selects the highest-yielding crop for each grid cell.

Use Cases

• Assessing regional bioenergy crop potential based on modeled yield maps.
• Comparing the suitability of five different crop types (eucalypt, Miscanthus, poplar, switchgrass, willow) for a given location.
• Identifying the highest-yielding crop type per grid cell using the provided 'best bioenergy crop' composite map.
• Integrating modeled yield data with climate and soil condition variables for agricultural system analysis.

Strengths

• Covers five important lignocellulosic bioenergy crop types.
• Provides a global spatial resolution of 0.5° × 0.5°.
• Includes a synthesized 'best bioenergy crop' map derived from the five individual crop models.

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

Tsinghua University

Collection Method

Developed from a global yield observation dataset using a random forest algorithm based on climatic and soil conditions.

Time Range

Current technology, climate and atmospheric CO₂ conditions.

Geography

Global