Unknown

Dataset Information

Assessing the Alignment Between Naturally Adaptive Grain Crop Planting Patterns and Staple Food Security in China.


ABSTRACT: Climate change and socio-economic transformation increasingly challenge the stability of China's food supply. This study aims to optimize grain crop layouts by integrating natural suitability and nutritional supply within a unified analytical framework. Using the MaxEnt model incorporating bioclimatic, topographic, and soil variables, we simulated the natural suitability of major grain crops and compared it with actual planting patterns based on the SPAM dataset. Results revealed substantial spatial discrepancies between actual and suitable distributions, with national planting diversity index increasing by 26.42% (from 0.53 to 0.67) under suitable conditions. Wheat and maize are most suited to northern China, rice and tuber crops to southern regions, while soybean performs optimally in th

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC12651675 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature