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多尺度下崇义县耕地质量空间分布差异特征研究

孙聪康 徐俊丽 余敦 周微 王检萍 梁珍宝

孙聪康, 徐俊丽, 余敦, 周微, 王检萍, 梁珍宝. 多尺度下崇义县耕地质量空间分布差异特征研究[J]. 中国生态农业学报(中英文), 2019, 27(4): 601-612. doi: 10.13930/j.cnki.cjea.180891
引用本文: 孙聪康, 徐俊丽, 余敦, 周微, 王检萍, 梁珍宝. 多尺度下崇义县耕地质量空间分布差异特征研究[J]. 中国生态农业学报(中英文), 2019, 27(4): 601-612. doi: 10.13930/j.cnki.cjea.180891
SUN Congkang, XU Junli, YU Dun, ZHOU Wei, WANG Jianping, LIANG Zhenbao. Spatial distribution of cultivated land quality at different scales in Chongyi County[J]. Chinese Journal of Eco-Agriculture, 2019, 27(4): 601-612. doi: 10.13930/j.cnki.cjea.180891
Citation: SUN Congkang, XU Junli, YU Dun, ZHOU Wei, WANG Jianping, LIANG Zhenbao. Spatial distribution of cultivated land quality at different scales in Chongyi County[J]. Chinese Journal of Eco-Agriculture, 2019, 27(4): 601-612. doi: 10.13930/j.cnki.cjea.180891

多尺度下崇义县耕地质量空间分布差异特征研究

doi: 10.13930/j.cnki.cjea.180891
基金项目: 

国家自然科学基金项目 41561107

江西省自然科学基金项目 20151BAB203039

详细信息
    作者简介:

    孙聪康, 主要从事土地利用/覆被变化研究。E-mail:943568578@qq.com

    通讯作者:

    中文内容.余敦, 主要从事土地覆被变化和土地生态研究。E-mail:jxauyd@163.com

  • 中图分类号: F323.3;F204

Spatial distribution of cultivated land quality at different scales in Chongyi County

Funds: 

the National Natural Science Foundation of China 41561107

the Natural Science Foundation of Jiangxi Province 20151BAB203039

More Information
  • 摘要: 耕地质量优劣既取决于质量等别高低,又与空间分布特征密切相关。研究多层次的耕地质量内涵与空间结构性特征是加强耕地保护并合理配置土地资源的重要依据。本文以南方丘陵山地典型区域崇义县为例,运用Geoda、GS+等平台支持的空间自相关模型,探讨县级、乡镇级与村级空间尺度下耕地自然质量、利用质量与经济质量的空间相互作用和分布规律。结果表明:1)崇义县耕地质量存在显著相关性,耕地质量的Moran’s I值呈现自然质量(0.445)>经济质量(0.406)>利用质量(0.281)的特征;2)不同空间尺度下耕地质量具有多样的空间尺度效应,随着空间尺度缩小,自然质量差异最大、经济质量次之、利用质量差异最小,大空间尺度弱化了耕地质量的空间聚集差异特征,村级尺度下耕地质量空间聚集效应最显著;3)耕地质量正相关HH(高-高)型和LL(低-低)型多以团状或带状集中分布,负相关HL(高-低)型和LH(低-高)型无明显分布规律。研究结果揭示了耕地自然质量、利用质量与经济质量对于尺度变化的响应规律,对于各级行政主体监测保护耕地及制定精准高效的耕地质量建设方案具有一定的现实意义。
  • 图  1  崇义县村级耕地质量国家自然等(a)、国家利用等(b)、国家经济等(c)分布图

    Figure  1.  Distribution maps of land national nature grade (a), national utilization grade (b) and national economy grade (c) of administrative units at village scale in Chongyi County

    图  2  崇义县耕地质量Moran’s I指数与距离关系分析结果图

    Figure  2.  Relationship between Moran's I index and distance of land quality in Chongyi County

    图  3  崇义县各乡镇县级与镇级尺度耕地质量指数Moran’s I值对比

    Figure  3.  Comparison of Moran's I values of cultivated land quality indexes between county and town scales in different towns of Chongyi County

    图  4  崇义县耕地质量指数局部空间自相关特性

    Figure  4.  Local spatial autocorrelation of cultivated land quality indexes in Chongyi County

    表  1  崇义县各研究尺度耕地质量指数变异系数与方差

    Table  1.   Cultivated land quality indexes and variances of different research scales in Chongyi County

    研究尺度Research scale 国家自然等指数
    National natural grade index
    国家利用等指数
    National utilization grade index
    国家经济等指数
    National economy grade index
    变异系数
    Coefficient of variation
    方差
    Variance
    变异系数
    Coefficient of variation
    方差Variance 变异系数
    Coefficient of variation
    方差
    Variance
    国家Nation 0.18 182 246.58 0.12 41 282.07 0.13 29 545.83
    镇级Town 0.07 25 112.88 0.04 5 503.11 0.09 12 777.58
    村级Village 0.07 42 342.22 0.12 14 926.18 0.10 25 661.29
    下载: 导出CSV

    表  2  崇义县县级尺度下耕地质量空间自相关分析结果

    Table  2.   Results of spatial autocorrelation analysis of cultivated land quality at county-scale in Chongyi County

    耕地质量指数
    Cultivated land quality index
    Moran’s I Z(I) P 标准化统计阈值
    (Φ=0.01) Standardized statistical threshold
    国家自然等指数National natural grade index 0.445 5.400 0 2.58
    国家利用等指数National utilization grade index 0.281 3.184 0 2.58
    国家经济等指数National economy grade index 0.406 5.185 0 2.28
    下载: 导出CSV

    表  3  崇义县各乡镇耕地质量指数Morans I

    Table  3.   Moran's I values of cultivated land quality indexes of different towns in Chongyi County

    乡镇
    Town
    国家自然等指数
    National natural grade index
    国家利用等指数
    National utilization grade index
    国家经济等指数
    National economy grade index
    丰州乡Fengzhou Town 0.186 2 0.181 7 0.198 3
    关田镇Guantian Town 0.256 9 0.303 1 0.313 2
    过埠镇Guobu Town 0.149 6 0.323 6 0.653 4
    横水镇Hengshui Town 0.281 5 0.411 9 0.680 5
    杰坝乡Jieba Town 0.118 6 0.124 0 0.149 6
    金坑乡Jinkeng Town 0.166 2 0.262 4 0.561 8
    乐洞乡Ledong Town 0.116 9 0.177 8 0.529 0
    麟潭乡Lintan Town 0.187 3 0.166 7 0.284 1
    龙勾乡Longgou Town 0.149 8 0.278 3 0.714 8
    聂都乡Niedu Town 0.164 0 0.444 9 0.894 8
    铅厂镇Qianchang Town 0.296 4 0.335 3 0.583 9
    上堡乡Shangbao Town 0.081 4 0.533 1 0.895 4
    思顺乡Sishun Town 0.220 4 0.239 9 0.755 1
    文英乡Wenying Town 0.041 3 0.243 1 0.349 4
    扬眉镇Yangmei Town 0.227 2 0.268 8 0.309 8
    阳岭自然保护区Yangling Nature Reserve Area / / /
    长龙镇Changlong Town 0.220 1 0.253 5 0.437 1
    镇级平均值Town mean 0.179 0 0.284 3 0.524 9
    下载: 导出CSV

    表  4  崇义县村级尺度耕地质量空间聚集类型分布情况

    Table  4.   Spatial agglomeration types of cultivated land quality indexes at village level in Chongyi County

    自相关类型
    Spatial autocorrelation type
    国家自然等指数
    National natural grade index
    国家利用等指数
    National utilization grade index
    国家经济等指数
    National economy grade index
    行政村个数
    Village number
    占比
    Percent (%)
    行政村个数
    Village number
    占比
    Percent (%)
    行政村个数
    Village number
    占比
    Percent (%)
    不显著Non significant (NN) 86 69.92 89 72.36 86 69.92
    高-高High-high (HH) 15 12.20 10 8.13 11 8.94
    低-低Low-low (LL) 9 7.32 7 5.69 21 17.07
    低-高Low-high (LH) 7 5.69 10 8.13 4 3.25
    高-低High-low (HL) 6 4.88 7 5.69 1 0.81
    下载: 导出CSV

    表  5  崇义县耕地质量指数半变异函数理论模型及相应参数

    Table  5.   Semivariogram theory models of cultivated land quality indexes and corresponding parameters

    耕地质量指数
    Cultivated land quality index
    模型
    Model
    块金值C0
    Nugget
    基台值C+C0
    Sill
    块金基台比
    C0/(C+C0) (%)
    决定系数
    R2
    残差RSS
    国家自然等指数
    National natural grade index
    指数模型
    Exponential model
    0.237 1.742 13.61 0.961 0.027 2
    国家利用等指数
    National utilization grade index
    指数模型
    Exponential model
    0.232 1.696 13.68 0.768 0.028 2
    国家经济等指数
    National economy grade index
    指数模型
    Exponential model
    0.231 1.675 13.79 0.781 0.027 1
    下载: 导出CSV
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  • 收稿日期:  2018-10-05
  • 录用日期:  2019-01-06
  • 刊出日期:  2019-04-01

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