A data-driven model for quantifying how maize yields in North-East China respond to summer climate

A data-driven model for quantifying how maize yields in North-East China respond to summer climate

We demonstrate a data-driven approach that gives skilful annual predictions of province-scale maize yield across China’s Northeast Farming Region (NFR), using the June—August (JJA) mean temperature and total precipitation as predictors. Our work builds on a method used to explore climate-related ris...

Full description

Saved in:
Bibliographic Details
Main Authors: Andrew Cottrell, Edward Pope, Jemma Davie, Peiqun Zhang, Pete Falloon, Tom Crocker, Catherine Bradshaw, James Bacon
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
maize
yields
China
climate
variability
food security
Online Access:https://doi.org/10.1088/2515-7620/adac33
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items