Tef Crop and Head Smudge Disease Distribution Models for Western Amhara Region

Melkamu Birhanie Mekonnen published a dataset containing MaxEnt model outputs predicting the spatiotemporal distribution of tef and tef head smudge disease in Ethiopia's Western Amhara Region. The models achieved accuracy between 89.3% and 93% and project coverage and overlap under current and future climate scenarios (SSP245, SSP285) for 2050 and 2070. The dataset was last updated on April 16, 2026.

Use Cases

• Modeling crop suitability shifts based on climate scenario projections
• Predicting disease outbreak areas based on environmental factors
• Analyzing spatiotemporal overlap between crop and pathogen distributions
• Assessing food security risks from compounded climate and disease pressures

Strengths

• Model accuracy reported as 89.3%–90.5% for tef and over 93% for tef head smudge disease
• Provides specific projected coverage percentages (e.g., 33% current, 23.1% SSP245 2050) and overlap areas (e.g., 9,659 ha current)
• Includes projections for two future time horizons (2050, 2070) under two climate scenarios (SSP245, SSP285)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data format is RAR, which may require specific extraction tools

Provenance

Source

figshare

Collection Method

MaxEnt species distribution modeling

Time Range

Current climate and projections for 2050 and 2070

Freshness

Last updated 2026-04-16 17:30:58; freshness should be verified

Geography

Western Amhara Region, Ethiopia