Spatio-temporal Pattern of Cropland Abandonment in Hilly and Mountainous Areas:A Case Study of Jiangxi,China  

丘陵山区耕地撂荒时空格局变化研究——以江西省为例

作　　者：WEN Jiaming XIE Hualin 温家明;谢花林(江西财经大学应用经济学院(数字经济学院),南昌330013;自然资源部大湖流域国土空间生态保护修复工程技术创新中心,南昌330025)

机构地区：[1]School of Applied Economics(School of Digital Economics),Jiangxi University of Finance and Economics,Nanchang 330013,China [2]Technology Innovation Center for Land Spatial Ecological Protection and Restoration in Great Lakes Basin,Ministry of Natural Resources,Nanchang 330025,China

出　　处：《Journal of Resources and Ecology》2024年第5期1311-1323,共13页资源与生态学报（英文版）

基　　金：The National Natural Science Foundation of China(42371285)。

摘　　要：Cropland abandonment is common and widely distributed in hilly and mountainous areas.Clarifying the current situation and development of cropland abandonment can provide reference for the rational and classified management of cropland abandonment in hilly and mountainous areas.Taking Jiangxi Province as the study area,and using the Google Earth Engine and Landsat data,the scale and years of abandoned cropland from 2002 to 2020 were calculated by using the random forest classifier and rules for identifying cropland abandonment.The spatio-temporal pattern of cropland abandonment at the county level was analyzed.The results indicated that the overall accuracy of land use classification was over 90%.The cropland abandonment rate ranged from 3%to 5.5%from 2002 to 2020,while the cropland abandonment rate was highest in 2013 and showed a downward trend after 2017.Among the years,the area of first-time abandoned cropland was the largest in 2005.The distribution of the cropland abandonment rate was low in the middle and north,but high in the surrounding area and the south.A notable positive spatial correlation was observed in the cropland abandonment rate,with a gradual intensification of spatial clustering.The LISA cluster map revealed a significant north-south disparity,exhibiting an incremental trend over time in the characteristics of the“High-High”cluster in the Southeastern Mountainous Area and the“Low-Low”cluster in the Poyang Lake Hilly Plain in Jiangxi.The results of this study can provide data for extracting spatial information and analyzing the driving factors of cropland abandonment in hilly and mountainous areas,and they can also provide a basis for the development of policies for the utilization and classification management of abandoned cropland.耕地撂荒现象在丘陵山区十分普遍,理清耕地撂荒现状和发展态势可为丘陵山区耕地撂荒合理管控和分类治理提供参考。本研究以江西省为研究区,基于GEE遥感云计算平台和Landsat数据,采用随机森林分类方法和制定耕地撂荒现象的识别规则,测算了2002-2020年耕地撂荒的规模和年份,在此基础上分析了研究区县域尺度耕地撂荒空间格局的变化情况。研究结果表明,土地利用分类总体精度在90%以上,2002-2020年研究区耕地撂荒率在3%到5.5%的范围之间,2013年的耕地撂荒率最高,2017年后耕地撂荒率呈下降趋势,其中2005年新增首次撂荒耕地的面积最大。在县级尺度上,耕地撂荒率呈现中间高、四周低和南高北低的分布趋势,存在显著的空间正相关性,且空间集聚现象逐渐增强,局部的LISA空间形态的南北差异明显,研究区东南部耕地撂荒率“高-高”和中部“低-低”值的集聚特征随时间的变化逐渐增强。研究结果可为对丘陵山区耕地撂荒空间信息提取、驱动因素分析提供技术支撑,并为撂荒耕地再利用和分类治理政策的制定提供依据。

关 键 词：cropland abandonment Google Earth Engine hilly and mountainous areas spatio-temporal pattern Jiangxi Province 

分 类 号：F323.211[经济管理—产业经济]