湖北农业科学 ›› 2023, Vol. 62 ›› Issue (3): 8-15.doi: 10.14088/j.cnki.issn0439-8114.2023.03.002

• 土壤特性 • 上一篇    下一篇

多尺度下长浏平丘陵区耕地质量关键要素识别研究

侯磊, 段建南, 李萍   

  1. 湖南农业大学资源环境学院,长沙 410128
  • 收稿日期:2021-12-02 发布日期:2023-04-20
  • 通讯作者: 段建南(1957-),男,山西晋城人,教授,博士,主要从事土地资源利用研究,(电子信箱)duan-jn@163.com。
  • 作者简介:侯 磊(1993-),男,湖南岳阳人,硕士,主要从事土地资源利用与规划研究,(电话)15580854094(电子信箱)houlei45@163.com
  • 基金资助:
    湖南省教育厅重点项目(11A046)

Research on the identification of cultivated land quality key elements in Changsha-Liuyang-Pingjiang Hilly Region at multi-scale

HOU Lei, DUAN Jian-nan, LI Ping   

  1. College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
  • Received:2021-12-02 Published:2023-04-20

摘要: 为进一步保护和提升耕地综合质量,识别耕地质量关键要素,选取长浏平丘陵区为研究区,运用地理网格与空间自相关分析方法,以60 km为特征尺度划定三级研究尺度,综合评价并揭示不同尺度下耕地质量各构成要素空间相关程度及变化规律。结果表明,所有耕地质量构成要素均显示出空间正相关性。其中,灌溉保证率、有机质含量、耕层质地3要素不论基于何种尺度,均为影响耕地质量的关键要素。此外,耕地集中连片程度与破碎度在二、三级尺度上显示为耕地质量的关键要素;耕地本底质量对耕地整体质量贡献最大,空间质量及生态质量次之;随观测尺度增大,耕地的空间质量与本底质量各要素的Moran's I随即增大,而生态质量要素的Moran's I则随尺度变大而减小。

关键词: 耕地质量, 关键要素, 地理网格, 空间自相关, 多尺度

Abstract: In order to further protect and improve the comprehensive quality of cultivated land and identify the key elements of cultivated land quality, the Changsha-Liuyang-Pingjiang hilly area was selected as the research area, and the geographic grid and spatial autocorrelation analysis method were used to delineate the three-level research scale with the characteristic scale of 60 km. The spatial correlation degree and change law of various components of cultivated land quality at different scales had been evaluated and revealed. The results showed that all the elements of cultivated land quality showed positive spatial correlations. Among them, the three elements of irrigation guarantee rate, organic matter content, and cultivated layer texture were the key elements that affect the quality of cultivated land, no matter what scale they were based on. In addition, the degree of concentration and fragmentation of cultivated land were shown as key elements of cultivated land quality on the second and third scales; the background quality of cultivated land contributed the most to the overall quality of cultivated land, followed by spatial and ecological quality; as the observation scale increased, the Moran's I index value of each element of the spatial and background quality increased immediately, while the Moran's I index of the ecological quality element decreased as the scale became larger.

Key words: cultivated land quality, key elements, geographic grid, spatial autocorrelation, multi-scale

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