North Cameroon data on how monospecific and mixed tree species influence microclimate, soil, and crop yields. The dataset includes microclimatic, agronomic, and fiber quality measurements collected under and outside tree canopies in different parkland models. It was authored by Tcheobe, Carmel Foulna for the DeSIRA INNOVACC Project and last updated on 2026-04-20.
Use Cases
- Model microclimate regulation based on tree canopy cover data mentioned in the description
- Compare crop productivity metrics between monospecific and mixed tree species
- Analyze relationships between soil properties and fiber quality under different agroforestry models
- Assess the impact of parkland design on maize and cotton yields
Strengths
- Data covers multiple interrelated domains: microclimate, agronomy, and fiber quality
- Measurements are taken under and outside tree canopies, allowing for comparative analysis
- Dataset is part of the DeSIRA INNOVACC Project, suggesting a structured research context
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Description metadata is limited; actual data quality requires manual inspection after download
Provenance
- Source
- CIRAD Harvested Collection
- Collection Method
- Field data collection under and outside tree canopies across parkland models
- Time Range
- null
- Freshness
- Last updated 2026-04-20 15:42:47; freshness should be verified
- Geography
- North Cameroon