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中国的"良好的农田"分布数据集

Abdusalam Turup^1,2,3,4, Jun Zhang^1,2,3,4, Wenchao Ma^1,2,3,4

¹State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing, China.

Scientific data

|April 15, 2025

概括

由于有限的耕地和气候变化,中国面临着粮食安全挑战. 一个新的数据集跟踪了良好便利农田 (WFF) 建设进展情况,这对于管理农业资源和确保国家粮食安全至关重要.

科学领域:

农业科学农业科学
环境科学环境科学
数据科学数据科学数据科学

背景情况:

中国的粮食安全受到有限的耕地 (10%以下) 的威胁,支持全球20%以上的人口.
气候变化和农田退化加剧了这些粮食安全挑战.
中国政府于2009年启动了一项有利于耕地 (WFF) 建设战略,以加强粮食生产.

研究的目的:

为了解决对中国WFF建设的可访问数据的缺乏.
为研究和工业应用创建一个全面的WFF数据集.
帮助评估中国的粮食生产和粮食安全.

主要方法:

汇编和综合了来自中国地方当局的377份报告和文件.
在县级和省级创建2020年WFF数据集.
包括省级2030年世界农业基金目标和当前完成率.

主要成果:

一个新的2020年中国WFF数据集已成功生成.
数据集包括2030年的省级目标和实现这些目标的进展.
数据可在县级和省级行政层面获得.

结论:

开发的WFF数据集对于监测中国的粮食生产和粮食安全至关重要.
该数据集支持农业水和营养管理中的应用.
它为研究人员和政策制定者提供了解决粮食安全问题的基本数据.

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