| 浙江省耕地质量多尺度空间自相关分析 |
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| 引用本文： | 李武艳,朱从谋,王华,徐保根.浙江省耕地质量多尺度空间自相关分析[J].农业工程学报,2016,32(23):239-245. |
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| 作者姓名： | 李武艳 朱从谋 王华 徐保根 |
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| 作者单位： | 1. 浙江财经大学不动产研究所,杭州,310018;2. 浙江工商大学公共管理学院,杭州,310018;3. 浙江财经大学东方学院,嘉兴,314000 |
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| 基金项目： | 国家自然基金项目（41301194）；教育部人文社科青年基金（12YJC630103）；浙江省自然基金（LQ14D010003） |
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| 摘 要： | 掌握耕地质量在不同尺度下的空间特征,是有针对性地进行耕地质量建设与制定合理的管理措施对策的基础。该文运用基于Moran’s I指数的空间自相关分析方法,以浙江省为例,分别进行省、市和县级尺度下空间自相关核算。结果表明:1)浙江省耕地质量3类指数在不同尺度下均呈现出显著的空间正相关性,具体表现省、市和县耕地质量指数的Moran’s I值依次降低,耕地自然等指数的空间集聚性受尺度影响最大,利用等次之,经济等最小,县级尺度的耕地质量3类指数Moran’s I值波动大于市级和省级水平;2)浙江省耕地质量3类指数Moran’s I值均表现为自然等指数利用等指数经济等指数,耕地质量的自然等指数Moran’s I值的变化幅度最大,利用等次之,经济等最小。研究结果显示耕地质量空间差异对空间尺度敏感,可为耕地分区利用管理以及土地整治工程设计提供科学依据。
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| 关 键 词： | 自相关 尺度 集聚 耕地质量 浙江省 |
| 收稿时间： | 2016/4/25 0:00:00 |
| 修稿时间： | 2016/9/10 0:00:00 |
Multi-scale spatial autocorrelation analysis of cultivated land quality in Zhejiang province |
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| Li Wuyan,Zhu Congmou,Wang Hua and Xu Baogen.Multi-scale spatial autocorrelation analysis of cultivated land quality in Zhejiang province[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(23):239-245. |
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| Authors: | Li Wuyan Zhu Congmou Wang Hua and Xu Baogen |
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| Institution: | 1. Institute of Real Estate, Zhejiang University of Finance & Economics, Hangzhou 310018, China,2. School of Public Administration, Zhejiang Gongshang University, Hangzhou 310018, China,3. Dongfang College, Zhejiang University of Finance & Economics, Jiaxing 314000, China and 1. Institute of Real Estate, Zhejiang University of Finance & Economics, Hangzhou 310018, China |
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| Abstract: | Understanding the spatial characteristics of cultivated land quality at different spatial scales is the base to formulate appropriate management countermeasures and targeted cultivated land construction. The purpose of this paper was to explore the spatial characteristics of cultivated land quality at the provincial, municipal and county-level scale. Zhejiang province was taken as an example. A combination of spatial autocorrelation models represented by Moran’s I index and coefficient of variation method was used for the study. In 2012, data of cultivated land information in 2011 in Zhejiang province were collected from Yellowbook and investigation from local government. Analysis of global spatial autocorrelation of cultivated land quality showed that the Moran’s I value was higher than 0.5, showing strong positive autocorrelation. The Moran’s I value of economical land index was the highest, followed by the land use index and land natural index. For 11 cities in Zhejiang, the Moran’s I value of land natural index was higher in Hanzhou, Shaoxing, Ningbo, Huzhou and Jiaxing, that of land use index was higher in Hanzhou, Shaoxing, Ningbo and Huzhou, and that of economical land index in Hanzhou was higher than the provincial level. Furthermore, among 85 counties, the Moran’s I value of global spatial autocorrelation was the highest in Xiaoshan (0.87) and the lowest in Gongshu (-0.16) for the natural index, the highest in Xiuzhou (0.87) and the lowest in Gongshu (-0.22) for the land use index, and the highest in Xiuzhou (0.88) and the lowest in Gongshu (-0.13) for the economical land index, respectively. The local spatial autocorrelation analysis showed that the high-high area of natural index was clustered in the north of Zhejiang including Xiaxing, Huzhou, Hanzhou et al., the low-low area was in counties such as Dongyang, Yongkang, Wuyi, et al., and the low-high and high-low areas were mainly distributed in the center of Zhejiang such as Yiwu. The high-high area of land use index was concentrated in Xiaxing, Shaoxing, Hanzhou, et al., the low-low area of that was in Fuyang, Lin’an, et al., and low-high and high-low areas were dispersedly distributed. The high-high area of economical index was even scattered mainly in parts of Huzhou, Jiaxing and Shaoxing and so on. The high Moran’s I values of the 3 indexes appeared mainly in the north of Zhejiang, sparsely along the coast and the low values were shown in the northwest and center of Zhejiang. In sum, the spatial distribution of cultivated land quality was sensitive to spatial scale. The larger scale indicated high autocorrelation and agglomeration. Among the 3 indexes, the natural index was greatly affected by the scale change, followed by land use index and economical index. Therefore, these characteristics should be taken into account in the cultivated land management and partition. |
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| Keywords: | autocorrelation scale agglomeration cultivated land quality Zhejiang province |
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