耕地
中国大陆
土地利用
地理
中国
土地开发
环境资源管理
土地管理
农林复合经营
业务
环境科学
农业
土木工程
工程类
考古
作者
Sijing Ye,Changchun Song,Peichao Gao,Chenyu Liu,Changxiu Cheng
标识
DOI:10.1177/0308518x211062232
摘要
The evaluation of the arable land ecosystem services capacity and arable land use intensity is important for recognizing regional key factors that impact the change of arable land attributes. A chronic lack of cooperation persists between these two fields of study, which makes providing sufficient information to support developing arable land use management and control policies difficult. In this study, the clustering characteristics of four arable land quality indexes have been assessed using the K-means algorithm to indicate the regional coordination between arable land resource protection and arable land use. The clustering results have been visualized using circular cartogram. This study can contribute to the identification of key regional challenges in China's arable land use and help to build the framework of other countries’ arable land protection policies.
科研通智能强力驱动
Strongly Powered by AbleSci AI