China's Well-Facilitated Farmland distribution dataset

Area of Science:

• Agricultural Science
• Environmental Science
• Data Science

Background:

• China's food security is threatened by limited arable land (less than 10%) supporting over 20% of the global population.
• Climate change and farmland degradation exacerbate these food security challenges.
• The Chinese government initiated a well-facilitated farmland (WFF) construction strategy in 2009 to enhance food production.

Purpose of the Study:

• To address the lack of accessible data on China's WFF construction.
• To create a comprehensive WFF dataset for research and industrial applications.
• To aid in assessing food production and security in China.

Main Methods:

• Compilation and synthesis of 377 reports and documents from local Chinese authorities.
• Creation of a WFF dataset for the year 2020 at both prefecture and provincial levels.
• Inclusion of provincial 2030 WFF targets and current completion rates.

Main Results:

• A novel WFF dataset for China in 2020 has been successfully generated.
• The dataset includes provincial targets for 2030 and progress made towards them.
• Data is available at both prefecture and provincial administrative levels.

Conclusions:

• The developed WFF dataset is critical for monitoring China's food production and security.
• This dataset supports applications in agricultural water and nutrition management.
• It provides essential data for researchers and policymakers addressing food security concerns.