刘金花,王雨晴,蒋海明,等. 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. DOI: 10.11975/j.issn.1002-6819.202303021
    引用本文: 刘金花,王雨晴,蒋海明,等. 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. DOI: 10.11975/j.issn.1002-6819.202303021
    LIU Jinhua, WANG Yuqing, JIANG Haiming, et al. 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 (Transactions of the CSAE), 2023, 39(12): 216-225. DOI: 10.11975/j.issn.1002-6819.202303021
    Citation: LIU Jinhua, WANG Yuqing, JIANG Haiming, et al. 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 (Transactions of the CSAE), 2023, 39(12): 216-225. DOI: 10.11975/j.issn.1002-6819.202303021

    进出平衡视角下耕地恢复潜力重点区域识别

    Identifying the key regions of potential arable land restoration from the perspective of in-out balance

    • 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。

       

      Abstract: An accurate and rapid identification is one of the most important steps to optimize the spatial pattern of land, particularly for the key areas of cultivated land restoration potential in recent years. The "in-out balance" of cultivated land can then be fully implemented to ensure national food security. Taking 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". The "three adjustments" data was also selected to integrate the four dimensions of agricultural production suitability, new cultivated land restoration potential, land cluster contiguity, and economic development level. A geographic information system (GIS) spatial analysis was used to quantitatively measure the effect scores of each factor. The multi-factor spatial overlay was then used to comprehensively evaluate the cultivated land restoration value. The high-value cluster area was finally identified as the key area using the natural breakpoint. As such, the key area of cultivated land restoration potential was quantitatively identified to explore the spatial distribution pattern. The results showed as follows. 1) There was a high suitability of agricultural production, where the suitability index was between 0.33 and 0.79. It infers that the zonal differentiation decreased gradually from the east to the west, indicating a significant regional difference. Engineering restoration was the main potential type of cultivated land restoration. Specifically, the woodland was widely distributed in the recoverable land, accounting for 72.89%. There was an excellent degree of land agglomeration and contiguity on the whole. The high and middle contiguity areas accounted for 71.85% with a distribution trend of "low in the middle and high around". The spatial differences were observed in the level of economic development. The distribution characteristics were complementary to the restoration potential of newly cultivated land and land contiguity. 2) The comprehensive evaluation 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-west edges of the county. The key areas were widely distributed in the study area. Therefore, the improved model can be expected to identify the key areas of the main agricultural production areas mainly in the plain. 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" plans. Anyway, the sustainable utilization of cultivated land can be promoted to optimize the territorial spatial pattern under the system of "balance in and out" of cultivated land.

       

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