2009—2018年湖南省县域耕地时空演变及其驱动力
作者:
中图分类号:

F301.2

基金项目:

国家重点研发计划项目“田园综合体宜居村镇规划设计技术集成与示范”(2019YFD1101301)


Spatial-temporal Changes and Driving Forces of Cultivated Land at County Level in Hu'nan Province from 2009 to 2018
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [39]
  • |
  • 相似文献 [20]
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    [目的] 分析近年来湖南省县域单元耕地的时空变化特征及驱动力,为耕地保护政策的制定提供决策依据。[方法] 基于湖南省2009—2018年的土地利用变更调查数据库,利用耕地变化动态度、景观格局指数和地理探测器模型,从数量规模、景观格局和驱动力等方面分析湖南省县级行政单元的耕地变化。[结果] ①2009—2018年,湖南省耕地总量累计增加379.02 km2。新增耕地主要分布在环洞庭湖地区、湘中盆地群和湘西北等土地整治重点地区。②在土地综合整治等工程的积极作用下,湖南省耕地图斑形状趋于规整化;而受城镇化和基础设施建设的影响,全省耕地破碎化趋势明显。③地方财政收支情况、人口增长和地形条件是湖南省2009—2018年间耕地变化的主要驱动力因子。各驱动因子之间通过双因子增强和非线性增强等交互作用实现对耕地时空变化的综合影响。[结论] 湖南省耕地保护成效显著,但依然面临许多挑战。新时期全省耕地保护应该处理好国土空间开发与保护之间的关系;新增耕地的开发应当更加注重对农村低效建设用地的复垦而减少对生态空间的挤占;优化耕地保护政策,切实提高现有耕地的经济产出效益,发挥市场机制在耕地保护中的长效与可持续的作用。

    Abstract:

    [Objective] The characteristics of spatial-temporal cultivated land change and its driving forces at county level in Hu'nan Province from 2009 to 2018 were analyzed in order to support the formulation of farmland protection policies.[Methods] The cultivated land dynamic index, landscape indices, and the Geodector model were used to determine the area, spatial distribution, and driving forces of cultivated land changes in Hu'nan Province based on land survey data.[Results] ① The total area of cultivated land increased by 379.02 km2 in Hu'nan Province from 2009 to 2018. The newly reclaimed cultivated land was mainly located in the area around Dongting Lake, the Central Hu'nan Basin group, and Northwest Hu'nan Province. ② Due to the implementation of land consolidation projects, the shapes of cultivated land patches became more and more regular over the past ten years. On the other hand, as the mean area of cultivated land patches became smaller and smaller, cultivated land patches in Hu'nan Province showed a significant trend towards fragmentation from 2009 to 2018 that was mainly due to urban-rural development and infrastructure construction. ③ The fiscal revenue and expenditure of local governments, population growth, the output value of agriculture were the main driving forces of cultivated land changes in Hu'nan Province from 2009 to 2018. These driving factors produced a comprehensive impact on the changes of cultivated land through interactions such as dual-factor enhancement and nonlinear enhancement.[Conclusion] The protection of cultivated land in Hu'nan Province has achieved remarkable results in the past 10 years. However, the protection of cultivated land in Hu'nan Province still faces some challenges. Therefore, cultivated land protection in Hu'nan Province during the next decade should give greater attention to the trade-offs between the development and protection of land resources. Development of new cultivated land should focus on reclamation of inefficient construction land in rural areas, rather than on occupying ecological space. Additionally, Hu'nan Province should also optimize policies for the protection and utilization of cultivated land that will promote the productivity of cultivated land so that market factors can play a stabilizing and sustaining role in cultivated land protection.

    参考文献
    [1] 王静怡, 李晓明.近20年中国耕地数量变化趋势及其驱动因子分析[J].中国农业资源与区划, 2019, 40(8):171-176.
    [2] Zhou Yang, Li Xunhuan, Liu Yansui.Land use change and driving factors in rural China during the period 1995-2015[J].Land Use Policy, 2020, 99:105048.
    [3] 苑韶峰, 杨丽霞, 杨桂山, 等.耕地非农化的社会经济驱动因素异质性研究:基于STIRPAT和GWR模型的实证分析[J].经济地理, 2013, 33(5):137-143.
    [4] 叶宇航.我国耕地非农化的驱动因素研究[J].科学决策, 2015(9):33-50.
    [5] 袁晓妮, 鲁春阳, 吕开云, 等.我国耕地非农化研究进展及展望[J].中国农业资源与区划, 2019, 40(1):128-133.
    [6] 卢曦.关于耕地占补平衡相关问题的思考与建议:基于湖南"两个占补平衡"实践[J].中国土地, 2021(5):42-43.
    [7] 李佳玲, 侯兰金, 朱吉贝, 等.近20年湖南省耕地开发强度时空分异研究[J].中国农业资源与区划, 2021, 42(11):199-207.
    [8] 王兆峰, 田俊峰.湖南省耕地资源利用安全综合评价与提升路径研究[J].中国土地科学, 2021, 35(1):48-58.
    [9] 李全峰, 胡守庚, 瞿诗进.湖南省耕地经营协调度时空演变[J].资源科学, 2019, 41(2):233-246.
    [10] 周克艳, 刘芳清, 陈俊宇, 等.供给侧改革下湖南耕地高效可持续利用策略[J].湖南农业科学, 2016(6):94-97.
    [11] Chen Ying, Li Suran, Cheng Long.Evaluation of cultivated land use efficiency with environmental constraints in the Dongting Lake eco-economic zone of Hunan Province, China[J].Land, 2020, 9(11):440.
    [12] 周俊驰, 刘孝利, 雷鸣, 等.湖南典型矿区耕地土壤重金属空间特征研究[J].地理空间信息, 2018, 16(8):90-94.
    [13] Zhao Chong, Zhou Yong, Li Xigui, et al.Assessment of cultivated land productivity and its spatial differentiation in Dongting Lake region:A case study of Yuanjiang City, Hunan Province[J].Sustainability, 2018, 10(10):3616.
    [14] Xie Hualin, Wang Wei, Zhang Xinmin.Evolutionary game and simulation of management strategies of fallow cultivated land:A case study in Hunan Province, China[J].Land Use Policy, 2018, 71:86-97.
    [15] 肖顺连, 彭楚潇, 沈冰心, 等.耕地抛荒状况一瞥:对湖南永州市四镇十二村的调查[J].中国土地, 2009(7):48-49.
    [16] 李仕利, 吕晓, 唐国滔, 等.耕地资源变化驱动力研究:以湖南宁远为例[J].安徽农业科学, 2007, 35(16):4925-4927.
    [17] 杨君, 周子英, 刘文洁.湖南省耕地资源动态变化驱动力分析[J].农机化研究, 2011, 33(6):37-41.
    [18] 郑筠, 张兆安.湖南省耕地变化的驱动力筛选和驱动机制分析[J].国土资源科技管理, 2014, 31(1):48-54.
    [19] Yu De, Hu Shougeng, Tong Luyi, et al.Spatiotemporal dynamics of cultivated land and its influences on grain production potential in Hunan Province, China[J].Land, 2020, 9(12):510.
    [20] 王文旭, 曹银贵, 苏锐清, 等.我国耕地变化驱动力研究进展:驱动因子与驱动机理[J].中国农业资源与区划, 2020, 41(7):21-30.
    [21] 赵育恒, 谭永忠.中国第二次土地调查以来省域耕地利用时空变化[J].水土保持通报, 2020, 40(1):204-212.
    [22] 张星星, 曾辉.基于多尺度主成分面板模型的中国耕地压力动态变化及驱动力分析[J].中国人口·资源与环境, 2014, 24(S3):204-208.
    [23] 刘旭华, 王劲峰, 刘明亮, 等.中国耕地变化驱动力分区研究[J].中国科学(地球科学), 2005, 35(11):1087-1095.
    [24] Wang Guogang, Liu Yansui, Li Yurui, et al.Dynamic trends and driving forces of land use intensification of cultivated land in China[J].Journal of Geographical Sciences, 2015, 25(1):45-57.
    [25] 陶荣, 孔雪松, 陈翠芳, 等."二调"以来湖北省耕地变化的时空特征及其驱动因子识别[J].水土保持研究, 2019, 26(6):290-295.
    [26] 祝小迁, 程久苗, 费罗成.安徽省耕地集约利用及其驱动力分析[J].中国土地科学, 2009, 23(2):11-17.
    [27] 郭杰, 欧名豪, 刘琼, 等.江苏省耕地资源动态变化及驱动力研究[J].长江流域资源与环境, 2009, 18(2):139-145.
    [28] 罗芳, 潘安, 陈忠升, 王佑汉.四川省宜宾市1980-2018年耕地时空格局变化及其驱动因素[J].水土保持通报, 2021, 41(6):336-344.
    [29] Gong Jianzhou, Jiang Chao, Chen Wenli, et al.Spatiotemporal dynamics in the cultivated and built-up land of Guangzhou:Insights from zoning[J].Habitat International, 2018, 82:104-112.
    [30] 王金金, 冀振松, 田玉辉.赤壁市耕地变化驱动力分析及布局优化[J].湖北农业科学, 2013, 52(10):2281-2285.
    [31] 李子杰, 高沪宁, 丁琪洵, 等.基于Moran's I的安徽省太湖县耕地质量时空格局分析[J].水土保持通报, 2021, 41(3):350-356.
    [32] 张莹, 张学玲, 蔡海生.基于地理探测器的江西省万安县生态脆弱性时空演变及驱动力分析[J].水土保持通报, 2018, 38(4):207-214.
    [33] Ouyang Dong, Zhu Xigang, Liu Xingguang, et al.Spatial differentiation and driving factor analysis of urban construction land change in County-level City of Guangxi, China[J].Land, 2021, 10(7):691.
    [34] 李世平, 岳永胜.陕西省耕地变化驱动力区域差异分析[J].干旱区资源与环境, 2010, 24(2):12-16.
    [35] 王劲峰, 徐成东.地理探测器:原理与展望[J].地理学报, 2017, 72(1):116-134.
    [36] 吕晨, 蓝修婷, 孙威.地理探测器方法下北京市人口空间格局变化与自然因素的关系研究[J].自然资源学报, 2017, 32(8):1385-1397.
    [37] 赵小风, 刘梦丽, 王柏源.基于地理探测器的城市建设用地规模时空差异及影响因素分析[J].中国土地科学, 2018, 32(5):29-35.
    [38] 夏小园, 陈颢明, 郜晴, 等.基于地理探测器的江苏省城市人居环境适宜性时空变化研究[J].水土保持通报, 2020, 40(3):289-296.
    [39] 赵小风, 李娅娅, 赵雲泰, 等.基于地理探测器的土地开发度时空差异及其驱动因素[J].长江流域资源与环境, 2018, 27(11):2425-2433.
    引证文献
    引证文献 [1]
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

陈松林,赵翔,刘中秋,潘雨飘,王旭.2009—2018年湖南省县域耕地时空演变及其驱动力[J].水土保持通报,2022,42(3):274-283

复制
分享
文章指标
  • 点击次数:532
  • 下载次数: 598
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2021-11-22
  • 最后修改日期:2022-01-16
  • 在线发布日期: 2022-08-02