Figshare
open access
CC0 1.0
Ensemble agroecosystem modeling enhances predictions of crop yields and soil carbon across the United States
agriculturalearth-and-related-environmental-sciencessoil-carbonsustainable-agricultureveterinary-and-food-sciences
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
- Observational benchmarks inform representation of soil organic carbon dynamics in land surface models#1132943
- me4soc: a multi-model ensemble interface for soil organic carbon predictions#333959
- Drought asymmetrically amplifies the lagged and cumulative vegetation productivity responses to soil and atmospheric droughts, stronger for vapor pressure deficit#14729
- Drought asymmetrically amplifies the lagged and cumulative vegetation productivity responses to soil and atmospheric droughts, stronger for vapor pressure deficit#14728
- Increasing risk of 2022-like droughts in Europe under climate change: evidence from Large Ensembles using flow analogs#315003
Record · ID 475583
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