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进出平衡视角下耕地恢复潜力重点区域识别
引用本文:刘金花,王雨晴,蒋海明,许鹏,赵静.进出平衡视角下耕地恢复潜力重点区域识别[J].农业工程学报,2023,39(12):216-225.
作者姓名:刘金花  王雨晴  蒋海明  许鹏  赵静
作者单位:山东建筑大学管理工程学院,济南 250101;山东省国土空间规划院,济南 250014
基金项目:国家自然科学基金项目(41801173);山东省土地发展集团科技创新项目(H23008S);教育部产学合作协同育人项目(S2022315);国家级大学生创新创业训练计划(202210430045)
摘    要:科学识别耕地恢复潜力重点区域,对落实耕地进出平衡、保障国家粮食安全与优化国土空间格局具有重要意义。该研究以山东省济宁市汶上县为研究区,基于“三调”数据,综合农业生产适宜性、新增耕地恢复潜力、地类集聚连片性与经济发展水平4个维度,构建进出平衡视角下栅格尺度的耕地恢复潜力重点区域识别模型,定量识别耕地恢复潜力重点区域并探究其空间分布格局。结果表明:1)汶上县农业生产适宜性较高,适宜性指数为0.33,0.79],呈现自东向西逐级递减的地带性分异规律,地域差异较明显;耕地恢复潜力类型以工程恢复为主,可恢复地类中林地分布广泛,占比72.89%;地类集聚连片程度整体较好,高、中连片性区域占比达71.85%,呈“中部低、四周高”的分布态势;经济发展水平存在空间差异性,分布特征与新增耕地恢复潜力和地类连片性互补。2)结合耕地恢复综合评价,共识别23处耕地恢复潜力重点区域,总面积56.31 km2,分布于县域中部、南部与东西边缘地带,重点区域分布广泛。该模型可用于以平原为主的农业主产区重点区域的识别,可为耕地恢复整治项目筛选、耕地进出平衡方案编制与实施提供科学依据,对促进耕地进出平衡制度的落地、耕地可持续利用与国土空间格局优化有重要意义。

关 键 词:模型  农业  耕地  进出平衡  耕地恢复潜力  重点区域识别  农业生产适宜性
收稿时间:2023/3/4 0:00:00
修稿时间:2023/3/21 0:00:00

Identifying the key regions of potential arable land restoration from the perspective of in-out balance
LIU Jinhu,WANG Yuqing,JIANG Haiming,XU Peng,ZHAO Jing.Identifying the key regions of potential arable land restoration from the perspective of in-out balance[J].Transactions of the Chinese Society of Agricultural Engineering,2023,39(12):216-225.
Authors:LIU Jinhu  WANG Yuqing  JIANG Haiming  XU Peng  ZHAO Jing
Institution:School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China;Shandong Provincial Institute of Territorial Space Planning, Jinan 250014, China
Abstract:An accurate and rapid identification is one of the most important steps to optimize the spatial pattern of land, particularly of for the key areas of cultivated land restoration potential in recent years. is of great significance for implementing the The "in-out balance" of cultivated land, can then be fully implemented to ensureing the national food security. Taking the and optimizing the spatial pattern of land. This study took Wenshang County, Jining City, Shandong Province of China as the research area. , this study aims to establish a raster scale identification model of cultivated land restoration potential under the perspective of "in-out balance". Based onT the "three adjustment" data, it was also selected to integrate d the four dimensions of agricultural production suitability, new cultivated land restoration potential, land cluster contiguity, and economic development level, and built. a raster scale identification model of cultivated land restoration potential under the perspective of "in-out balance". A geographic information system (GIS) spatial analysis technology was used to quantitatively measure the effect scores of each factor. The multi-factor spatial overlay method was then used to comprehensively evaluate the cultivated land restoration value, and. based on the natural breakpoint method, tThe high high-value cluster area was finally identified as the key area using the natural breakpoint. As such, , so as to quantitatively identify the key area of cultivated land restoration potential was quantitatively identified toand explore itsthe spatial distribution pattern. The results showed as follows: . 1) the There was the high suitability of agricultural production in Wenshang County was high, and where the suitability index was between 0.33, 0.79], ]. It infers that showing tthe zonal differentiation law decreasing decreased step by step gradually from the east to the west, and indicating the significant regional difference was significant. Engineering restoration was the main potential type of cultivated land restoration, and. Specifically, the woodland was widely distributed in the recoverable land, accounting for 72.89%. There was the excellent degree of land agglomeration and contiguity was good on the whole, . with The high and middle contiguity areas were accounting accounted for 71.85% , showing with a distribution trend of "low in the middle and high around". There are The spatial differences were observed in the level of economic development, and. the The distribution characteristics are were complementary to the restoration potential of new cultivated land and land contiguity. 2) According to tThe comprehensive evaluation of cultivated land restoration, showed that the 23 key areas of cultivated land restoration potential were identified, with a total area of 56.31 km2, which were distributed in the central, southern and east-westeastern and western edges of the county, and. tThe key areas were widely distributed in the study area. Therefore, The results show that the improved model can be used expected to identify the key areas of the main agricultural production areas mainly in plain, and . The finding can also provide a scientific basis for the selection of cultivated land restoration and renovation projects, as well as the preparation and implementation of cultivated land "balance in and out" plan, . Anyway,and has important significance for promoting the the sustainable utilization of cultivated land can be promoted toand the optimization ofe the territorial spatial pattern under the system of "balance in and out" of cultivated land.
Keywords:models  agriculture  cultivated land  in-out balance  cultivated land restoration potential  key area identification  suitability of agricultural production
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