文献类型： 外文期刊

作者： Wuyun, Deji ¹ ; Sun, Liang ¹ ; Chen, Zhongxin ³ ; Hou, Anhong ² ; Crusiol, Luis Guilherme Teixeira ¹ ; Yu, Lifeng ² ; Chen, Ruiqing ¹ ; Sun, Zheng ¹ ;

作者机构： 1.Chinese Acad Agr Sci, CAAS CIAT Joint Lab Adv Technol Sustainable Agr, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing,Minist Agr, Beijing 100081, Peoples R China

2.Inner Mongolia Acad Agr & Anim Husb Sci, Inst Rural Econ & Informat, Hohhot 010030, Peoples R China

3.Food & Agr Org United Nations, Digitalizat & Informat Div, I-00153 Rome, Italy

4.Univ Estadual Maringa, Dept Agron, BR-87020900 Maringa, PR, Brazil

关键词： Land use classification; "Grain for Green" program; Land Use Change Trajectory; Vegetation index; Vegetation restoration

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：10.753； 五年影响因子：10.237 ）

ISSN： 0048-9697

年卷期： 2022 年 805 卷

页码：

收录情况： SCI

摘要： Due to the unfavorable soil conditions and water resources, the cropland use pattern in the farming-pastoral ecotone in northern China is complex. The program named "Grain for Green" has accelerated the cropland change. However, the complex cropland and retired cropland are challenging to monitor with remote sensing due to their spatially dispersed and easily confused with spectrally similar land use classes such as nature grasslands and non-cropped fields. Taking farming-pastoral ecotone in the northern foot of the Yinshan Mountains as a case study, we explored a classification approach for complex cropland and retired cropland, which was introduced as a specific land use class by using multi-temporal Landsat TM and OLI images with Google Earth Engine. During 1990-2000, cropland increased with a sharper growth and increased with a slower growth from 2001 to 2010, and then decreased significantly from 2011 to 2019, to lead the cropland area in 2019 was smaller than an area in 1990. We analyzed the spatiotemporal trajectories of retired cropland in 2019 using the Land Use Change Trajectory method to evaluate its source. In our finding, approximately 77% of retired cropland was labelled as cropland before 2019; albeit, not all retired cropland was converted from cropland. Moreover, we qualitatively assessed the vegetation dynamics in the study area by utilizing the long-term NDVI-mean value to reveal that vegetation coverage has shown a continuously increasing trend. It is related to the decline of cropland and the increase of retired cropland at the same rate. Our results highlighted that