CGSpace
metadata only
Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling
Inland valleys (IVs) in Africa are important landscapes for rice cultivation and are targeted by national governments to attain self-sufficiency. Yet, there is limited information on the spatial distribution of IVs suitability at the national scale. In the present study, we developed an ensemble mod
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region#291699
- Environmental drivers shape soil mite communities along succession, with limited links to litter decomposition in upper Andean tropical forests#672711
- Revue d’Études en Agriculture et Environnement#23427
- The devil’s in the details when using correlative and mechanistic species distribution models to inform multispecies and ecosystem models#350772
- Mechanistic Crop Modelling for Drought Adaptation in Rainfed Rice: Environmental Diagnosis, AI–Mechanistic Divergence, and Phenotype Optimisation#666840
Record · ID 1044018
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive