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20世纪80年代末以来中国土地利用变化的基本特征与空间格局 总被引：105，自引：19，他引：86
土地利用/土地覆被变化（LUCC）是人类活动与自然环境相互作用最直接的表现形式,本文采用相同空间分辨率的卫星遥感信息源和相同的技术方法,对中国1980 年代末到2010 年土地利用变化数据进行定期更新。在此基础上,提出并发展土地利用动态区划的方法,研究土地利用变化的空间格局与时空特征。我们发现：1990-2010 年的20 年间,中国土地利用变化表现出明显的时空差异。“南减北增,总量基本持衡,新增耕地的重心逐步由东北向西北移动”是耕地变化的基本特征;“扩展提速,东部为重心,向中西部蔓延”是城乡建设用地变化的基本特征;“林地前减后增,荒漠前增后减,草地持续减少”是非人工土地利用类型变化的主要特征。20 世纪末与21 世纪初两个10 年相比,中国土地利用变化空间格局出现了一些新特征,原有的13 个土地利用变化区划单元演变为15 个单元,且部分区划单元边界发生变化。主要变化格局特征为黄淮海地区、东南部沿海地区、长江中游地区和四川盆地城镇工矿用地呈现明显的加速扩张态势;北方地区耕地开垦重心由东北地区和内蒙古东部转向西北绿洲农业区;东北地区旱作耕地持续转变为水田;内蒙古农牧交错带南部、黄土高原和西南山地退耕还林还草效果初显。近20 年间,尽管气候变化对北方地区的耕地变化有一定的影响,但政策调控和经济驱动仍然是导致我国土地利用变化及其时空差异的主要原因。2000 年后的第一个10 年,土地利用格局变化的人为驱动因素已由单向国土开发为主,转变为开发与保护并重。在空间格局变化的分析方法方面,应用“动态区划法”开展世纪之交两个10 年中国LUCC空间格局变化的分析,有效揭示了20 年来中国LUCC“格局的变化过程”,即动态区划边界的推移、区划单元内部特征的变化与单元的消长等;以及“变化过程的格局”,即土地利用变化过程与特征的分阶段区域差异,清晰刻画了LUCC动态区划中区划单元的消长,单元边界的变动,以及前后10 年的变化强度特征,揭示了土地利用“格局”与“过程”之间的交替转化规律,以及不同类型和区域的变化原因,证明了该分析方法的有效性。 相似文献
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新疆地区近10年来土地利用变化时空特征与动因分析 总被引：40，自引：13，他引：27
通过利用遥感、地理信息系统等技术方法,获取了新疆地区20世纪80年代末到90年代末的土地利用变化时空数据,并对其变化过程进行了分析,揭示了近10年来新疆土地利用变化的时空特征。结果显示：新疆地区近10年来耕地总面积增加明显;草地总面积减少明显;城乡工矿居民用地扩张显著;林地、水域面积有所增加：未利用土地各种类型面积有增有减,其中沙地面积平均每年扩大84．5km^2,其扩展速率比20世纪50至70年代下降了一半,新疆局部荒漠地区生态环境有所改善。新疆地区耕地面积的普遍开垦扩大与撂荒弃耕现象并存,使得新疆绝大部分地区成为20世纪90年代中国土地利用变化区划中“西北农田开垦与撂荒交错区的重要部分,农田的开垦与撂荒成为新疆地区土地利用变化的显著时空特征。政策、经济及气候变化是导致新疆地区十地利用动态变化的主要原因。 相似文献
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基于3S技术的中国东北地区林地时空动态特征及驱动力分析 总被引：17，自引：4，他引：13
利用3S技术和中国资源环境数据库中用LandSat TM(ETM)解译获取的东北地区1985,1995,2000年林地空间分布数据,建立林地时空演变模型,定量分析东北地区林地变化时空特征。结果表明:1985~2000年东北地区林地发生较大幅度变化,时空差异明显;1995~2000林地急剧减少趋势得到有效遏止,有林地面积出现一定程度增长,但林地变化的广度和强度仍然超过1985~1995年,突出表现在大兴安岭地区林地动态度增加。从空间格局上看,大小兴安岭、长白山山麓地带林地动态变化最强烈,主要表现为林地与耕地和草地相互转换。 相似文献
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本文以中国退耕还林生态工程重点区域陕北地区作为研究区,对比其前后两个10年的耕地资源空间分布格局,并进一步分析耕地变化对农田生产力的影响。论文基于中高分辨率卫星遥感数据,经人机交互目视解译并结合实地验证,生成陕北地区1990、2000和2010年耕地现状以及前后两个10年耕地变化时空监测数据集。进而运用光能利用率遥感模型,结合中分辨率、长时间序列卫星遥感数据估算陕北地区农田净初级生产力,分析耕地变化对农田生产力的影响。结果表明,陕北地区耕地面积及其生产力在研究期前10年小幅增长,后10年明显减少。耕地增加的主要原因是为满足当地人口的粮食需求以及弥补城市建设对耕地的占用,大面积草地和未利用地被开垦。耕地减少的最主要原因是生态退耕,城市化也是耕地减少的原因之一。总体而言,20年来陕北地区耕地资源总面积净减少42.56%;受耕地面积变化的影响,同期农田净初级生产力下降了41.90%。研究对于评估陕北地区耕地安全和粮食安全,指导区域土地利用科学规划具有重要意义。 相似文献
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《资源与生态学报(英文版)》2014,(3)
本文以中国退耕还林生态工程重点区域陕北地区作为研究区,对比其前后两个10年的耕地资源空间分布格局,并进一步分析耕地变化对农田生产力的影响。论文基于中高分辨率卫星遥感数据,经人机交互目视解译并结合实地验证,生成陕北地区1990、2000和2010年耕地现状以及前后两个10年耕地变化时空监测数据集。进而运用光能利用率遥感模型,结合中分辨率、长时间序列卫星遥感数据估算陕北地区农田净初级生产力,分析耕地变化对农田生产力的影响。结果表明,陕北地区耕地面积及其生产力在研究期前10年小幅增长,后10年明显减少。耕地增加的主要原因是为满足当地人口的粮食需求以及弥补城市建设对耕地的占用,大面积草地和未利用地被开垦。耕地减少的最主要原因是生态退耕,城市化也是耕地减少的原因之一。总体而言,20年来陕北地区耕地资源总面积净减少42.56%;受耕地面积变化的影响,同期农田净初级生产力下降了41.90%。研究对于评估陕北地区耕地安全和粮食安全,指导区域土地利用科学规划具有重要意义。 相似文献
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近20年来烟台沿海地区土地利用变化研究 总被引：1，自引：0，他引：1
基于地理信息技术、景观格局分析理论和马尔可夫模型,利用1986年、1992年、2000年和2004年四期TM数据,定量分析了烟台沿海地区土地利用类型变化及其景观格局动态特征。结果显示:近20年来,烟台沿海地区各种土地类型变化及其相互转化频繁。水域、果园和建设用地分别增加335.61%、70.43%和134.48%,而耕地、林地分别减少18.63%和20.75%。各种土地利用类型空间格局变化显著,耕地、果园破碎度增加,连通性降低,水域、林地和建设用地则趋于集中,连通性增强,景观类型有向多元化方向发展的趋势。马尔可夫模型预测表明,从2008年至平稳期,水域、耕地和林地面积将持续减少,建设用地和果园将逐年增加。耕地保护与建设用地扩张之间的矛盾将更加突出。 相似文献
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云南山地坝区土地利用变化及其驱动分析——以保山坝子为例 总被引：5，自引：0，他引：5
利用GIS空间分析工具,分析了保山坝区1980、1995、2000年3期土地利用变化及其驱动因素,得出以下结论：（1）从1980—1995～2000年土地利用变化速度明显加快。1980—1995年综合土地动态度年变率仅为0．17％,1995—2000年则增加到了0．75％。（2）总体来看,林地和水田呈现减少的趋势,旱地和建设用她呈现增加的趋势,尤其是1995～2000年时段。（3）土地利用类型转化的主要特征是坝子内水田转化为建设用地,林地、草地、旱地相互转化频繁。（4）坝区地形对土地利用格局具有基础作用。人口因素、经济因素和政策行为对土地利用变化起主导作用。受坝区空间局限性控制,人口、经济等人文因素对土地利用产生了巨大压力。 相似文献
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20世纪90年代新疆草地资源的空间格局演变 总被引：18，自引：0，他引：18
以Landsat TM遥感影像解译出的新疆1990年和2000年1:10万土地利用数据为基础,探讨了近10年来草地资源的动态变化及其空间格局特征。两期矢量数据叠加,得到耕地、林地、草地、水域、建设用地和未利用土地的面积变化数据、土地利用类型动态度和土地利用变化转移概率矩阵,从而系统地分析了草地与其他土地利用类型之间以及高、中、低不同覆盖度草地亚类之间的动态变化。在归纳草地资源各种变化情况的基础上,构建无任何分类面积信息损失的ARC/INFO-Grid格网化数据集,从而讨论了草地资源动态变化的空间格局特征。研究表明,近10年来草地与未利用土地之间为近似等量交换,与其他土地利用类型之间的转换则是显著的入不敷出,因此草地大量减少,但是草地总体质量的提高在很大程度上弥补了其总量减少的不利影响。草地数量的转入与转出及质量的提高与恶化在时间上同步发生,在空间上则交错进行并形成复杂的空间格局。草地资源的动态变化总体上具有比较突出的区域差异性,可以划分出5个基本动态变化分区。 相似文献
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基于遥感和GIS的松嫩沙地土地利用/土地覆被时空格局研究 总被引：23，自引：9，他引：14
利用1986年和2000年2期TM影像资料,建立相应的空间图形库系统,定量分析了松嫩沙地典型区近15a来土地利用数量变化,从土地利用斑块特征、斑块空间邻接关系变化和主导变化类型角度对土地利用/覆被格局进行了清晰的空间描述。结果表明,研究时段内该区土地利用量变和质变活跃。耕地面状成片、条带状延伸和斑块状空间扩展,从整体上呈现集中化特征。较大面积的草地和林地被分割、破碎化,小块盐碱化草地空间聚集与扩张。耕地与草地、草地与盐碱地空间相邻度变大,草地开垦强度增大、土地盐碱化日益严重。空间变化上表现为耕地、林地、草地和未利用地之间相互转化,以草地、林地-旱地,草地-未利用地,未利用地-旱地、水田及旱地-水田最为显著。 相似文献
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Spatiotemporal characteristics,patterns and causes of land use changes in China since the late 1980s简 总被引：111，自引：20，他引：91
LIU Jiyuan KUANG Wenhui ZHANG Zengxiang XU Xinliang QIN Yuanwei NING Jia ZHOU Wancun ZHANG Shuwen LI Rendong YAN Changzhen WU Shixin SHI Xuezheng JIANG Nan YU Dongsheng PAN Xianzhang CHI Wenfeng 《地理学报(英文版)》2014,24(2):195-210
Land-use/land-cover changes （LUCCs） have links to both human and nature inter- actions. China＇s Land-Use/cover Datasets （CLUDs） were updated regularly at 5-year inter- vals from the late 1980s to 2010, with standard procedures based on Landsat TM／ETM＋ im- ages. A land-use dynamic regionalization method was proposed to analyze major land-use conversions. The spatiotemporal characteristics, differences, and causes of land-use changes at a national scale were then examined. The main findings are summarized as fol- lows. Land-use changes （LUCs） across China indicated a significant variation in spatial and temporal characteristics in the last 20 years （1990-2010）. The area of cropland change de- creased in the south and increased in the north, but the total area remained almost un- changed. The reclaimed cropland was shifted from the northeast to the northwest. The built-up lands expanded rapidly, were mainly distributed in the east, and gradually spread out to central and western China. Woodland decreased first, and then increased, but desert area was the opposite. Grassland continued decreasing. Different spatial patterns of LUC in China were found between the late 20th century and the early 21st century. The original 13 LUC zones were replaced by 15 units with changes of boundaries in some zones. The main spatial characteristics of these changes included （1） an accelerated expansion of built-up land in the Huang-Huai-Hai region, the southeastern coastal areas, the midstream area of the Yangtze River, and the Sichuan Basin; （2） shifted land reclamation in the north from northeast China and eastern Inner Mongolia to the oasis agricultural areas in northwest China; （3） continuous transformation from rain-fed farmlands in northeast China to paddy fields; and （4） effective- ness of the ＂Grain for Green＂ project in the southern agricultural-pastoral ecotones of Inner Mongolia, the Loess Plateau, and southwestern mountainous areas. In the last two decades, although climate change in the north affected the change in cropland, policy regulation and economic driving forces were still the primary causes of LUC across China. During the first decade of the 21st century, the anthropogenic factors that drove variations in land-use pat- terns have shifted the emphasis from one-way land development to both development and conservation. The ＂dynamic regionalization method＂ was used to analyze changes in the spatial patterns of zoning boundaries, the internal characteristics of zones, and the growth and decrease of units. The results revealed ＂the pattern of the change process,＂ namely the process of LUC and regional differences in characteristics at different stages. The growth and decrease of zones during this dynamic LUC zoning, variations in unit boundaries, and the characteristics of change intensities between the former and latter decades were examined. The patterns of alternative transformation between the ＂pattern＂ and ＂process＂ of land use and the causes for changes in different types and different regions of land use were explored. 相似文献
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Spatiotemporal characteristics,patterns, and caus-es of land-use changes in China since the late 1980s 总被引：10，自引：0，他引：10
LIU Jiyuan KUANG Wenhui ZHANG Zengxiang XU Xinliang QIN Yuanwei NING Jia ZHOU Wancun ZHANG Shuwen LI Rendong YAN Changzhen WU Shixin SHI Xuezheng JIANG Nan YU Dongsheng PAN Xianzhang CHI Wenfeng 《地理学报》2014,24(2):195-210
Land-use/land-cover changes (LUCCs) have links to both human and nature interactions. China's Land-Use/cover Datasets (CLUDs) were updated regularly at 5-year intervals from the late 1980s to 2010,with standard procedures based on Landsat TM\ETM+ images. A land-use dynamic regionalization method was proposed to analyze major land-use conversions. The spatiotemporal characteristics,differences,and causes of land-use changes at a national scale were then examined. The main findings are summarized as follows. Land-use changes (LUCs) across China indicated a significant variation in spatial and temporal characteristics in the last 20 years (1990-2010). The area of cropland change decreased in the south and increased in the north,but the total area remained almost unchanged. The reclaimed cropland was shifted from the northeast to the northwest. The built-up lands expanded rapidly,were mainly distributed in the east,and gradually spread out to central and western China. Woodland decreased first,and then increased,but desert area was the opposite. Grassland continued decreasing. Different spatial patterns of LUC in China were found between the late 20th century and the early 21st century. The original 13 LUC zones were replaced by 15 units with changes of boundaries in some zones. The main spatial characteristics of these changes included (1) an accelerated expansion of built-up land in the Huang-Huai-Hai region,the southeastern coastal areas,the midstream area of the Yangtze River,and the Sichuan Basin;(2) shifted land reclamation in the north from northeast China and eastern Inner Mongolia to the oasis agricultural areas in northwest China;(3) continuous transformation from rain-fed farmlands in northeast China to paddy fields;and (4) effectiveness of the "Grain for Green" project in the southern agricultural-pastoral ecotones of Inner Mongolia,the Loess Plateau,and southwestern mountainous areas. In the last two decades,although climate change in the north affected the change in cropland,policy regulation and economic driving forces were still the primary causes of LUC across China. During the first decade of the 21st century,the anthropogenic factors that drove variations in land-use patterns have shifted the emphasis from one-way land development to both development and conservation.The "dynamic regionalization method" was used to analyze changes in the spatial patterns of zoning boundaries,the internal characteristics of zones,and the growth and decrease of units. The results revealed "the pattern of the change process," namely the process of LUC and regional differences in characteristics at different stages. The growth and decrease of zones during this dynamic LUC zoning,variations in unit boundaries,and the characteristics of change intensities between the former and latter decades were examined. The patterns of alternative transformation between the "pattern" and "process" of land use and the causes for changes in different types and different regions of land use were explored. 相似文献
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近10年来中国农村居民点用地时空特征 总被引：90，自引：3，他引：87
利用20世纪90年代中国1:10万土地利用动态变化数据,利用单元自动机和人工神经网络模型对中国农村居民点用地进行了区划。在此基础上,研究了90年代中国农村居民点用地动态变化时空格局。研究表明,农村居民点用地受区域位置、经济发展和国家政策的影响。90年代前5年,受沿海开放政策和经济高速发展的影响,长江三角洲、珠江三角洲和华北平原农村居民点用地扩展较快,中西部地区农村居民点用地扩展较慢;90年代后5年,在沿海地区经济发展速度放慢和国家实施耕地资源保护条例的情况下,沿海地区农村居民点用地扩张受到抑制,西部地区扩展加快。90年代中国经济体制处于由计划经济向市场经济转轨的过程中,农村居民点用地的动态变化格局受到经济发展和土地利用政策的深刻影响。 相似文献
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中国农田生产力变化的空间格局及地形控制作用 总被引：21，自引：2，他引：19
中国政府高度重视粮食安全, 采取一系列措施提高粮食生产并取得了一定的成效, 但是20 世纪90 年代全球农业生产徘徊不前并不仅是一种由特定政策或市场因素导致的短期现象。因此, 认识在长时间尺度上农田生产力变化的特征及其控制因素对保障国家粮食安全、制定农业政策及调节生态系统服务功能具有重要意义, 研究稳定少动但对农田生产力形成有 重要影响的地形因子对农田生产力变化的作用是其中的一项重要内容。生态系统生产力遥感 机理模型能够清晰地表达国家尺度农田生产力的时空格局, 应用1981~2000 年的NOAA/AVHRR 卫星遥感数据驱动GLO-PEM 模型, 以10 年为时间尺度分析20 世纪80 年代 到90 年代农田生产力变化的空间格局特征。研究结果表明, 在10 年的时间尺度上, 地形特征控制着农田生产力变化空间格局分异规律, 农田生产力降低的几率随地形起伏度增大而增加, 山区耕地发生生产力下降的可能性比平原耕地高10%~30%。在研究时期内尽管中国农田生产力总量增加, 但仍有24%的农田发生农田生产力下降, 其中71%在丘陵山地, 尤其是地形起伏破碎的黄土高原及云贵高原地区。 相似文献
15.
The acceleration of urbanization has led to the occupation of more cropland, especially higher quality cropland, which could pose a huge threat to food security and have other implications for the inadequate cropland resource supply in China. Though the spatial status of Chinese cropland quality has been assessed, its temporal changes since 2000 to 2015 are still not clear. An accumulated probability distribution method was used to determine the criteria of cropland quality using the net primary production data product (MOD17) from Moderate Resolution Imaging Spectroradiometer (MODIS). Then the cropland quality of higher, median and lower production was spatially mapped and its changes due to occupation by urbanization were analyzed through the land use changes (LUCC) data primarily from Landsat TM images in the three periods of 2000-2005, 2005-2010, and 2010-2015. The results showed that of the total cropland reduction area the proportion taken by urbanization increased from 47.29% in the early stage to 77.46% in the recent period. The quality of Chinese cropland was dominated by low- and medium-yield fields, accounting for 40.81% and 48.74%, respectively, with high-yield fields accounting for only 10.44% of the total cropland in the country in 2000. The high-yield areas have been seriously threatened by the expansion of construction land fields, with the ratio of high-yield area to total area occupied by urbanization increasing from 9.71% in 2000-2005 to 15.63% in 2010-2015. Spatially, this phenomenon has been moving from eastern and southern China to central and western China, especially in Northwest China where the ratio has arrived at the highest proportion, with 52.97% of high-yield cropland in the total land taken by the expansion by 2015. This study not only provides a method to assess cropland quality but also reveals the threatening trend from the expansion of urbanization on high-quality cropland. More attention should be paid to the latter in land use planning and policies made to prevent threats to food security from declines in both cropland quantity and quality. 相似文献
16.
生态退耕对中国农田生产力的影响(英文) 总被引：1，自引：0，他引：1
The changes in cropland quantity and quality due to land use are critical concerns to national food security, particularly for China. Despite the significant ecological effects, the ecological restoration program (ERP), started from 1999, has evidently altered the spatial patterns of China’s cropland and agricultural productivity. Based on cropland dynamic data from 2000 to 2008 primarily derived from satellite images with a 30-m resolution and satellite-based net primary productivity models, we identified the impacts on agricultural productivity caused by ERP, including "Grain for Green" Program (GFGP) and "Reclaimed Cropland to Lake" (RCTL) Program. Our results indicated that the agricultural productivity lost with a rate of 132.67×104 t/a due to ERP, which accounted for 44.01% of the total loss rate caused by land use changes during 2000-2005. During 2005-2008, the loss rate due to ERP decreased to 77.18×104 t/a, which was equivalent to 58.17% of that in the first five years and 30.22% of the total loss rate caused by land use changes. The agricultural productivity loss from 2000-2008 caused by ERP was more attributed to GFGP (about 70%) than RCTL. Although ERP had a certain influence on cropland productivity during 2000-2008, its effect was still much less than that of urbanization; moreover, ERP was already converted from the project implementation phase to the consolidation phase. 相似文献
17.
Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China 总被引：2，自引：1，他引：1
With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer (MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively. 相似文献
18.
《地理学报(英文版)》2016,(3)
With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer(MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively. 相似文献
19.
城市边界是城市演化认知和城市规划决策的空间依据。中国不少研究实践将地级市等行政地域范围视为城市,与物理上主要由连续人造不透水面构成的城市实体地域相比,存在较大的空间边界差异。然而,鲜有研究定量分析“实体”视角下长时间序列的城市用地演化,特别是对实体和行政两种统计单元视角下的城市扩张差异缺乏系统认识。本文基于30 m空间分辨率的多源遥感产品识别了1988—2018年8期的城市实体地域边界,分析其用地扩张过程,进一步与行政地域相对比,系统识别了两种统计视角下城市用地扩张的认知差异和空间模式。主要结论为：① 1988—2018年间,中国面积5 km2以上的城市实体地域单元数量增长了378%,以华东和华中地区的增长最为显著;城市实体地域中,88%为独立增长型,分布广泛但面积大都小于50 km2;12%为空间聚合型,主要分布在发达地区,面积普遍较大。② 相比行政地域,城市实体地域的位序规模更符合幂律分布,其Zipf指数30年来逐渐上升趋向于1,城镇体系发展愈发均衡;相比城市实体地域,行政地域单元在平原地区的城市扩张面积普遍偏高,在沿海地区的城市扩张强度普遍偏低。③ 和城市实体地域单元在拓扑关系上无法一一匹配的1327个行政单元大多分布在人口密集或发达的平原地区;结合实体和行政边界识别了“跨政区同城化”和“政区内集群化”两种扩张模式,前者多发生在省会区域,后者主要分布在华北平原,两者反映了城市化的空间重构。本文研究结果有助于深化中国土地城镇化时空过程的认识,并可对土地资源的科学配置、统一协调及行政区划的优化整合提供空间依据。 相似文献