| 长三角城市土地集约利用度时空特征研究 |
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| 引用本文： | 赵丹丹,胡业翠. 长三角城市土地集约利用度时空特征研究[J]. 中国农学通报, 2016, 32(20): 77-84. DOI: 10.11924/j.issn.1000-6850.casb15120170 |
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| 作者姓名： | 赵丹丹 胡业翠 |
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| 作者单位： | (中国地质大学土地科学技术学院,北京 100083） |
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| 基金项目： | 国家自然科学基金项目资助“西南喀斯特生态移民区土地利用与生态系统互动效应及调控机制研究”(41171440)；中央高校基本科研业务专项资金资助“土地利用变化对土壤质量影响研究”(2652015175)。 |
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| 摘 要： | 研究旨在分析长三角城市土地集约利用的时空分异特征及其驱动因素，以期为城市提出因地制宜的土地集约利用对策提供借鉴，采用改进熵值法来评价2007—2013年长三角城市土地集约利用水平，用Spearman秩相关系数和变异系数反映土地集约利用随时间变化特征，并且通过空间自相关分析来揭示其空间特征。研究期以2008年为界，划分成土地集约利用缓慢增长期和快速增长期。研究期内上海、南京和杭州等城市土地集约利用水平显著上升，无锡和苏州等小幅上升，南通和泰州等小幅下降，城市间土地集约利用水平差异逐渐缩小；土地集约利用中高等和低等水平城市分别呈现半环式和条带式分布特征；土地集约利用水平较高（低）的城市在空间分布上多为高（低）值中心，但空间相关性较弱。区位因素、产业发展水平以及土地市场化水平对土地集约利用水平均有影响。各地应有的放矢地提升土地集约利用水平，同时应发挥中心城市的涓滴效应以加强城市之间的联系。
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| 关 键 词： | 蔬菜 蔬菜 农药残留 文献计量 |
| 收稿时间： | 2015-12-30 |
| 修稿时间： | 2016-06-28 |
Spatial-temporal Characteristics of Intensive Land Use in the Yangtze River Delta Region |
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| Zhao Dandan and Hu Yecui. Spatial-temporal Characteristics of Intensive Land Use in the Yangtze River Delta Region[J]. Chinese Agricultural Science Bulletin, 2016, 32(20): 77-84. DOI: 10.11924/j.issn.1000-6850.casb15120170 |
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| Authors: | Zhao Dandan and Hu Yecui |
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| Affiliation: | (School of Land Science and Technology, China University of Geosciences, Beijing 100083) |
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| Abstract: | To study the spatial-temporal characteristics and driving factors and provide reasonable suggestions on intensive land use for 16 cities in the Yangtze River Delta Region, the improved entropy method was used to evaluate the intensive land use level from 2007 to 2013. Spearman rank correlation coefficient and coefficient of variation were used to analyze the temporal characteristics, and spatial autocorrelation analysis was used to analyze the spatial characteristics. The results showed that the development of intensive land use level was slow from 2007 to 2008 and then kept rising rapidly from 2009 to 2013. Intensive land use level increased rapidly in Shanghai, Nanjing and Hangzhou from 2007 to 2013 and increased only in small steps in Wuxi and Suzhou, while decreased slowly in Nantong. And the difference of intensive land use among cities during this period was becoming smaller. Cities with mid-high level of intensive land use presented a half-circle spatial distribution, and cities with the low level presented a belt distribution. Besides, the cities with high level of intensive land use always became hot spots in space and the cities with low level became cold spots, but the spatial correlation of intensive land use among the 16 cities was not obvious. Last but not least, driving factors including geographical location, economic development level and land marketization level had significant influence on the level of intensive land use. Thus, specific measures with consideration to local conditions should be taken to push intensive land use to a higher level. And it is of great significance for central cities to provide trickle-down effect for surrounding cities. |
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| Keywords: | intensive land use spatial-temporal variation Spearman rank correlation coefficient coefficient of variation spatial autocorrelation driving factors |
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