Rice Nitrogen Management and Climate Response in the Yangtze River Delta

A 16.0 KB dataset authored by Siyuan Cai, last updated on May 7, 2026. It contains results from an integrated framework coupling a random forest model with an economic benefit model to analyze nitrogen management for rice production. The study focuses on the Yangtze River Delta, China, quantifying yield baselines, yield-maximizing nitrogen rates, and economically optimal nitrogen rates under future climate scenarios.

Use Cases

• Predicting rice basal yield based on daily mean temperature data mentioned in the description
• Estimating yield-maximizing nitrogen rates based on soil pH and sand content data mentioned in the description
• Calculating economically optimal nitrogen rates for sustainable rice production as described
• Projecting changes in nitrogen thresholds under Shared Socioeconomic Pathways (SSP) climate scenarios as described

Strengths

• Dataset is licensed under CC-BY-4.0, facilitating open reuse.
• Description provides specific findings on distinct environmental drivers for yield and nitrogen thresholds.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset size is 16.0 KB, indicating a very limited scope of data.

Provenance

Source

Siyuan Cai

Collection Method

Likely contains results from an integrated framework coupling a random forest model with an economic benefit model.

Freshness

Last updated 2026-05-07 01:35:47; freshness should be verified.

Geography

Yangtze River Delta, China