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1.
中国西北半干旱区土地景观变化成因--以榆林市为例 总被引：1，自引：0，他引：1
1 Introduction Landscape change is a result of the complex interactions between physical, biological, political, economic and social driving forces (Moody and Woodcock 1995; Apan et al., 2002). Landscape in arid and semi-arid China is extremely vulnerabl… 相似文献
2.
奈曼旗20世纪80年代以来土地覆盖/利用变化研究 总被引：22，自引：9，他引：13
奈曼旗是我国北方农牧交错带沙漠化最严重的地区之一, 也是中国沙漠化监测和治理的重要地区之一。自20世纪80年代以来开始实行一系列土地整治措施, 土地覆盖/利用发生很大变化。利用1980年和1996年的1: 10万的TM遥感影像及GIS获得的数据, 从土地覆盖/利用结构变化、数量变化、空间景观特征变化以及主要变化过程等方面对其进行了研究。结果表明, 80年代以来奈曼旗耕地与难利用土地大幅减少, 林地和草地大幅增加; 土地覆盖/利用变化的主要过程为: 耕地退耕还草、还林, 难利用土地恢复为草地, 在适宜的草地上植树造林; 景观变得破碎, 土地利用的多样性增强。 相似文献
3.
北京市土地利用变化的空间分布特征 总被引：45，自引：10，他引：45
土地利用变化是全球变化中的重要组成部分 ,是短期内人类活动对自然环境施加影响的显著表现形式。本文基于遥感和地理信息系统技术 ,利用LandsatTM图像的解译成果 ,分析了北京市 1985～ 2 0 0 0年土地利用变化的空间分布特征。研究表明 ,在这 15年的时间里 ,北京市林地和城乡、工矿、居住用地的转移趋势明显 ,两者的转移率分别达到 4 0 78%和37 60 % ,主要以林地内部、林地向草地转移、居住用地的内部和工矿废弃地还林还草等类型为主。同时 ,各类土地利用类型的净变化呈现出明显的区域差异。 相似文献
4.
近几十年来,玛纳斯河流域以耕地面积过度扩张、山区林地与草地退化为代表的一系列不可持续的发展方式已对区域生态安全和土地可持续利用构成了威胁。通过利用遥感影像与GIS方法,以沙湾县和农八师垦区为研究区,定量评价了区域土地利用的空间适宜性,并将其与国家退耕还林还草政策作为主要约束条件,建立元胞自动机模型对研究区景观格局进行了空间优化。结果表明：（1）1976-2012年,研究区耕地面积显著扩张,增加的耕地主要由未利用地、草地和林地转换而来;林地面积净减少幅度达65.90%,转出林地中有58.33%转换为耕地;草地净面积在研究时段内虽略有增加,但仍有6.352×104 hm2的草地转换为耕地,占草地转出总面积的66.03%;（2）耕地、林地和草地适宜性等级处于I级（很适宜）和Ⅱ级（适宜）的面积分别占研究区总面积的79.74%、70.23%和59.82%;（3）优化后,区域内耕地、林地和草地三者的比例由原来的6.04∶0.39∶3.57调整为4.03∶0.99∶4.98。优化结果在一定程度上减缓了耕地的扩张,提高了林地、草地所占比例,有利于该区域绿洲生态系统的稳定性和社会经济可持续发展。 相似文献
5.
湿地景观格局的动态变化与区域土地利用/覆盖格局的变化有着十分紧密的联系。以纳帕海、碧塔海和属都湖三块高原湿地所在的云南省香格里拉县建塘镇为例,在遥感和GIS技术的支持下,对该区域1974、1987和2000三期Landsat TM(ETM)影像进行了解译,分析了26 a间的土地利用/覆盖变化规律,并结合景观格局动态分析的方法,借助FRAGSTATS软件定量分析了该区景观格局特征及其动态变化。结果表明:该区土地利用/覆盖状况变化显著,主要土地利用/覆盖类型有林地以822 hm2/a的速度在大面积减少,并主要转为灌木林地,使得后者在26 a间扩大高达17倍,变化幅度最大。建设用地和耕地的面积分别扩大了6倍和2倍,而草地和雪地面积持续减少。相应地,该区景观格局定量分析显示,有林地的斑块密度增大而平均斑块面积减小迅速,呈破碎化趋势,灌木林地的斑块密度、平均斑块面积均增加,草地则与之相反均减小,耕地的斑块密度降低而平均斑块面积增加,在不断融合成大斑块,其余各景观单元斑块密度增大平均斑块面积减小,同时各斑块几何形状在1987年变化最剧烈,景观格局趋于复杂。 相似文献
6.
2000-2010年中国退牧还草工程区土地利用/覆被变化 总被引：1，自引：0，他引：1
在3S技术支持下,结合景观格局定量分析方法,基于30 m分辨率的土地利用/覆被数据,对中国退牧还草工程区2000-2010年土地利用/覆被时空分布特征进行研究。通过利用土地利用转移矩阵和动态度来判定土地利用变化的速度和区域差异,并在斑块类型和景观水平上分析研究区景观格局特征,探讨土地利用格局变化的生态效应。结果表明：①近10年来,研究区土地利用/覆被类型以草地和其他类用地为主,整体内部结构稳定少动。草地变化面积仅占2000年草地总面积的0.37%;林地、湿地、耕地和人工表面的面积均有所增加;其他类用地面积有所减少。②全区土地综合动态度均小于0.1%,土地利用/覆被变幅较小,除人工表面较活跃外,其他各类型变化相对缓慢,且各省土地利用区域差异较小。③研究区内景观基质未发生改变,区域景观破碎度递减,景观多样性水平上升,景观聚集度和连续性微弱下降,景观整体保持较完整态势。退牧还草工程的实施使土地利用/覆被结构和景观格局均得以优化。 相似文献
7.
Based on TM image data and other survey materials, this paper analyzed the spatiotemporal patterns of land use change in the Bohai Rim during 1985–2005. The findings of this study are summarized as follows: (1) Land use pattern changed dramatically during 1985–2005. Industrial and residential land in urban and rural areas increased by 643,946 hm2, of which urban construction land had the largest and fastest increase of 294,953 hm2 at an annual rate of 3.72%. (2) The outward migration of rural population did not prevent the expansion of residential land in rural areas by 184,869 hm2. This increase reveals that construction of rural residences makes seriously wasteful and inefficient use of land. (3) Arable land, woodland and grassland decreased at a rate of –0.02%, –0.12% and –1.32% annually, while unused land shrank by 157,444 hm2 at an annual rate of –1.69%. (4) The change of land use types showed marked fluctuations over the two stages (1985–1995 and 1995–2005). In particular, arable land, woodland and unused land experienced an inversed trend of change. (5) There was a significant interaction between arable land and woodland. Industrial construction land in urban and rural areas showed a net trend of increase during the earlier period, but only adjustment to its internal structure during the second period. The loss of arable land to the construction of factories, mines and residences took place mainly in the fringe areas of large and medium-sized cities, along the routes of major roads, as well as in the economically developed coastal areas in the east. Such changes are closely related to the spatial differentiation of the level of urbanization and industrialization in the region. 相似文献
8.
徐州煤矿区土地利用变化分析 总被引：5，自引：0，他引：5
以3 个时相的卫星遥感图像TM 为主要数据源, 利用神经网络分类法进行监督分类, 获得1987-2003 年间徐州煤矿区土地利用变化的基础数据。由此计算出土地利用类型的动态转移矩阵、土地利用程度变化指数、动态度指数、土地利用变化类型的多度和重要度指数等区域土地利用变化的指数模型, 定量分析该区土地利用变化情况。结果显示: ① 建设用地和水体的面积均保持持续上升的势头; 耕地呈现持续下降态势; 林地先减少后增加; 未利用地面积则呈现出先增加后减少态势。② 在1987-2003 年间, 建设用地和未利用地都主要转向耕地。在1987-1994 年间, 水体主要向林地转移; 耕地主要转向未利用地和建设用地; 林地主要转向耕地。在1994-2003 年间, 水体的转移比例很小; 耕地主要转向未利用地和林地; 林地主要转向水体。③ 在1987-2003 年间, 该区土地利用变化的剧烈程度很大, 并且其土地利用正处于一个衰退期。④ 在1987-1994 年间, 主要的土地利用变化类型分别是: 未利用地与耕地、耕地与建设用地之间的相互转化。在1994-2003 年间, 主要的土地利用变化类型分别是: 耕地转化为未利用地、耕地转化为林地、未利用地转化为耕地、耕地转化为建设用地。 相似文献
9.
基于遥感技术的宁夏南部山区LUCC研究 总被引：9，自引：1，他引：8
以1975、1987 和2001 年的Landsat TM/MSS 影像为数据源, 利用遥感(RS) 和地理信息系 统(GIS) 相结合的技术, 运用统计方法和转移矩阵对宁夏南部山区26 年来的土地利用/覆被变化 ( LUCC) 状况进行了研究。结果表明, 宁夏南部山区土地利用/覆被的主要类型是耕地, 其次是草 地和林地; 耕地在1987 年达到了最高峰, 为790312.06hm2, 占总土地面积的70.03%。转移矩阵分 析得出, 在1975～1987 年间, 有370770.52hm2 草地和39813.57hm2 林地转化成耕地; 而在1987～ 2001 年间又有316865.89 hm2 耕地转化为草地和50729.16 hm2 耕地转化为林地。导致这种变化 的原因是上世纪70、80 年代当地经济发展思路以基本农田建设为中心, 鼓励农民进行开荒种地; 而到90 年代后, 国家开发政策的转变和重大生态工程的建设, 特别是退耕还林还草, 为当地草地 和林地的恢复起到了重要的作用。 相似文献
10.
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
11.
Using Landsat remote sensing images, we analyzed changes in each land use type and transitions among different land use types during land use and land cover change (LUCC) in Ningwu County, located in the eastern Loess Plateau of China, from 1990 to 2010. We found that grassland, woodland, and farmland were the main land use types in the study area, and the area of each type changed slightly from 1990 to 2010, whereas the area of water, construction land, and unused land increased greatly. For the whole area, the net change and total change were insignificant due to weak human activity intensity in most of the study area, and the LUCC was dominated by quasi-balanced two-way transitions from 1990 to 2010. The insignificant overall amount of LUCC appears to have resulted from offsetting of rapid increases in population, economic growth, and the implementation of a program to return farmland to woodland and grassland in 2000. This program converted more farmland into woodland and grassland from 2000 to 2010 than from 1990 to 2000, but reclamation of woodland and grassland for use as farmland continued from 2000 to 2010, and is a cause for concern to the local government. 相似文献
12.
Simulation of future land-use scenarios in the Three Gorges Reservoir Region under the effects of multiple factors 总被引：1，自引：1，他引：0
Model simulation and scenario change analysis are the core contents of the future land-use change (LUC) study. In this paper, land use status data of the Three Gorges Reservoir Region (TGRR) in 1990 was used as base data. The relationship between driving factors and land-use change was analyzed by using binary logistic stepwise regression analysis, based on which land use in 2010 was simulated by CLUE-S model. After the inspection and determination of main parameters impacting on driving factors of land use in the TGRR, land use of this region in 2030 was simulated based on four scenarios, including natural growth, food security, migration-related construction and ecological conservation. The results were shown as follows: (1) The areas under ROC curves of land-use types (LUTs) were both greater than 0.8 under the analysis and inspection of binary logistic model. These LUTs include paddy field, dryland, woodland, grassland, construction land and water area. Therefore, it has a strong interpretation ability of driving factors on land use, which can be used in the estimation of land use probability distribution. (2) The Kappa coefficients, verified from the result of land-use simulation in 2010, were shown of paddy field 0.9, dryland 0.95, woodland 0.97, grassland 0.84, construction land 0.85 and water area 0.77. So the results of simulation could meet the needs of future simulation and prediction. (3) The results of multi-scenario simulation showed a spatial competitive relationship between different LUTs, and an influence on food security, migration-related construction and ecological conservation in the TGRR, including some land use actions such as the large-scale conversion from paddy field to dryland, the occupation on cultivated land, woodland and grassland for rapid expansion of construction land, the reclamation of woodland and grassland into cultivated land, returning steep sloping farmland back into woodland and grassland. Therefore, it is necessary to balance the needs of various aspects in land use optimization, to achieve the coordination between socio-economy and ecological environment. 相似文献
13.
Model simulation and scenario change analysis are the core contents of the future land-use change(LUC) study. In this paper, land use status data of the Three Gorges Reservoir Region(TGRR) in 1990 was used as base data. The relationship between driving factors and land-use change was analyzed by using binary logistic stepwise regression analysis, based on which land use in 2010 was simulated by CLUE-S model. After the inspection and determination of main parameters impacting on driving factors of land use in the TGRR, land use of this region in 2030 was simulated based on four scenarios, including natural growth, food security, migration-related construction and ecological conservation. The results were shown as follows:(1) The areas under ROC curves of land-use types(LUTs) were both greater than 0.8 under the analysis and inspection of binary logistic model. These LUTs include paddy field, dryland, woodland, grassland, construction land and water area. Therefore, it has a strong interpretation ability of driving factors on land use, which can be used in the estimation of land use probability distribution.(2) The Kappa coefficients, verified from the result of land-use simulation in 2010, were shown of paddy field 0.9, dryland 0.95, woodland 0.97, grassland 0.84, construction land 0.85 and water area 0.77. So the results of simulation could meet the needs of future simulation and prediction.(3) The results of multi-scenario simulation showed a spatial competitive relationship between different LUTs, and an influence on food security, migration-related construction and ecological conservation in the TGRR, including some land use actions such as the large-scale conversion from paddy field to dryland, the occupation on cultivated land, woodland and grassland for rapid expansion of construction land, the reclamation of woodland and grassland into cultivated land, returning steep sloping farmland back into woodland and grassland. Therefore, it is necessary to balance the needs of various aspects in land use optimization, to achieve the coordination between socio-economy and ecological environment. 相似文献
14.
利用2000年和2010年两期TM影像,应用遥感和GIS技术获取关中-天水经济区2000-2010年土地利用变化数据,对研究区土地利用时空状态进行分析,并借助CA-Markov模型对该地区土地利用变化趋势进行情景模拟,深入分析了10 a来和2020年研究区土地利用变化的数量和空间特征以及由此所引起的一系列生态环境效应,主要表现在：过去10 a来城镇建设用地面积增加迅速,耕地和草地面积则减少,城镇建设用地的扩展是通过占用大量城郊的农田来实现的,通过这10 a间的快速城市化进程看出,研究区的城市扩张和基本农田保护之间已经开始产生矛盾;研究区土地利用实际变迁面积约占全区总面积的24.39%,也就是说全区约1/4的土地在这10 a间都发生了变化,从而反映出人类活动之强烈;未来10 a耕地和草地面积将持续下降,耕地面积的减少速度变快,城镇建设用地面积仍然迅速增加,且主要有耕地和草地转化而来,未来10 a研究区土地利用实际变迁面积约占全区总面积的11.43%。景观指数的分析结果表明了研究区内的景观趋向破碎化、复杂化和均匀化发展,景观的稳定性和抗干扰性减小。 相似文献
15.
北方农牧交错带土地利用变化 及其生态环境效应 ——以陕北榆林市为例 总被引：48，自引：3，他引：45
基于1985~2000年间的高分辨率土地利用/土地覆盖数据,对位于农牧交错带的陕北榆林市土地利用变化及其区域生态环境效应进行定量分析。结果表明：1985~2000年,榆林市土地利用变化区域差异明显,土地利用变化多分布在北部风沙滩地区,表明这些地区的土地利用变化过程相对活跃。生态环境质量总体上得到改善,但局部地区恶化也相当严重,且在县级尺度上表现出明显的区域分异特征。在大的区域尺度上北部风沙滩地区的生态环境质量的改善程度强于南部丘陵沟壑区。导致生态环境变化(改善和退化)的主导因素是林地、草地与其它土地利用/土地覆盖类型之间的转变,其中治沙种草与防护林体系建设对该市生态环境质量改善的贡献率最高,达到74.8%。 相似文献
16.
土库曼斯坦典型绿洲土地利用/覆被变化和景观格局的时空演变 总被引：2，自引：0，他引：2
当前开展遥感和GIS技术支持下的土库曼斯坦生态环境领域方面的研究,不仅可以保障中国的能源战略安全,同时也可为中国西北干旱区的生态环境演变及可持续发展研究提供一定的借鉴。本文以土库曼斯坦穆尔加布-捷詹绿洲为研究对象,基于1976年、1988年、2001年和2011年的Landsat MSS、TM/ETM+的4期遥感数据资料,应用GIS和景观生态学方法定量分析了研究区近40年的土地利用方式及景观格局的时空变化动态特征。结果表明：（1）研究区LUCC变化明显,主要表现为林地、耕地、沙地和盐碱地呈现增加趋势,草地、水域和其他用地呈现减少趋势。土地利用在1976-1988年变化最快的是草地,1988-2001年是水域,2001-2011年是草地,1976-2011年是耕地。（2）研究区内整体景观的空间变化表现为蔓延度指数、散布与并列指数和斑块结合度指数均呈现降低趋势,分离度、SHDI和SHEI均呈现增加趋势,表明斑块数目增多,景观破碎化程度加大,连通性降低。总之,要保障土库曼斯坦穆尔加布-捷詹绿洲土地资源与生态环境的可持续发展,必须注重土地利用格局最优化,确保景观格局与生态过程的连续性。 相似文献
17.
This study answers the following research questions: 1) What are the change trajectories of woody vegetation elements at the landscape level? 2) What are the differences in change trajectories amongst the various categories of forest, non-forest and reclamation woody vegetation? 3) How do the change trajectories differ in mining and non-mining landscapes? The study area, measuring 209.6 km2, is located in the north-western part of the Czech Republic and may be broken down into 76.8 km2 of mining landscape and 132.8 km2 of non-mining landscape. Brown coal mining began in this region during the second half of the 18th century and led to the radical transformation of the landscape, including woodlands, during the second half of the 20th century. The source data for this study was obtained from the original stable cadastre maps (1842) and the landscape field mapping performed in 2010. The various woody vegetation elements (forest, non-forest, and reclamation woody plants) and land use/cover (LULC) categories were identified. The GIS symmetrical difference tool was subsequently used to perform an overlay analysis for the individual woody vegetation elements in order to study the change trajectories and to obtain information about the woodlands that have remained unchanged (continuous), the ones that have disappeared (extinct), and the ones that have newly appeared in the landscape (recent). In the case of the non-mining landscape, the total proportion of woodlands has increased (from 17 to 32%), but there has been a decline in the overall volume of forest woody plants found in these areas (from 93 to 74%). As far as the mining landscape is concerned, there has also been an increase in the area covered by woodlands (from 10 to 20%), however, the proportion of forest woody plants has decreased to a much greater extent (from 90 to 31%). From the perspective of extinct woody vegetation, 23.3% of all types of woodlands in the mining landscape may be classified as such, as compared to 10.8% in the non-mining landscape. The primary causes of this decline are mining activities and newly built-up areas. More continuous woody vegetation may be found in the non-mining landscape (42.1%) as compared to the mining landscape (15.4%). Recent woody vegetation, which has primarily replaced grasslands and partially arable land, prevails in both the mining (61.3%) as well as the non-mining (47.1%) landscapes. Different categories of woodlands (forest, non-forest, and reclamation woody vegetation elements) exhibit various change dynamics due to their different structure and the functions they serve. At the most basic level, there has been an overall increase in the occurrence of woodlands in the studied areas. However, once GIS spatial analysis is applied it is possible to see more complex processes in the development of woodland areas as characterised by gains and losses, and it is possible to identify mining and agricultural extensification as the two most significant factors behind the historical changes. Mining leads to a direct decrease in the area of woodlands; conversely, the spontaneous succession of vegetation resulting from agricultural extensification and forest reclamation facilitates woodland recovery. Forest reclamation and reforestation are essential on order to ensure the time continuity of woodlands in both types of landscape, i.e. mining and non-mining. The study presented in this paper proves that it is relevant to analyse the changes occurring in different woodland categories separately. The same methodology may be applied when studying the change dynamics of other important landscape elements, such as wood pastures and wetlands. 相似文献
18.
1988～2002年开封市景观动态变化 总被引：26，自引：2，他引：24
在遥感和GIS技术的支持下,通过采用分维数、多样性指数、破碎度指数和边界密度等指数,分析了1988～2002年开封市景观动态变化。结果表明:（1）研究区斑块数增加,由1988年的28784个增加到2002年的32311个;景观破碎度增大;景观形状趋于复杂。（2）建设用地、水域和城市绿地面积增加;耕地（主要是水浇地）、未利用土地和园地等面积减小。（3）建设用地的空间质心向西南方向转移,城市绿地的空间质心向东北方向转移,水域空间质心向东南方向转移。（4）在景观斑块之间,高密度建设用地转移很少,保持较高的稳定性;低密度建设用地主要转为高密度建设用地;而旱地、水浇地等耕地主要转变为低密度建设用地;未利用土地主要转移为旱地、城市绿地和水域。人类活动和黄河同时控制着开封城市发展方向、发展策略和景观类型之间的转化等方面。 相似文献
19.
塔里木河干流区土地利用/覆被变化及其生态环境效应 总被引：8，自引：1，他引：7
在GIS和遥感技术支持下,利用1973年MSS遥感影像、1983年航空遥感土地利用图、1990年TM、2000年TM和2005年CBERS遥感影像对新疆塔里木河干流区土地利用/覆被变化过程和生态环境效应进行了分析。结果表明,1973~2005年塔里木河干流区土地利用/覆被发生了显著变化,耕地、未利用地和城乡居民及建设用地面积分别增加了25.72×104hm2、17.33×104hm2和0.51×104hm2,林地、草地和湿地面积分别减少了29.10×104hm2、8.63×104hm2和5.84×104hm2。在1973~1983年、1983~1990年、1990~2000年、2000~2005年4个时段中土地利用变化呈"显著变化—缓慢变化—显著变化—急剧变化"的过程。土地利用类型转移的主要方向是林地和草地转化为耕地、耕地转化为城乡居民及建设用地、草地转化为未利用地。土地利用/覆被的变化引起了干流区水环境恶化、土壤质量改变、天然植被严重退化、土地荒漠化和盐渍化加剧、湿地面积减少和生物多样性丧失等一系列生态环境问题。 相似文献
20.
城市化过程中半城市化地区社区人居环境特征研究——以厦门市集美区为例 总被引：1，自引：0，他引：1
城市化过程中半城市化地区存在着城市化程度由低到高的农村社区、城乡过渡型社区以及居住小区等城市型社区,社区人居环境多样化、多变化。在城市化影响下,这些社区人居环境呈现一定的特征。以厦门市集美区为例,通过选取典型社区,分析其景观格局特征,构建人居环境评价指标体系,对城市化过程中半城市化地区不同类型社区的人居环境特征进行了研究。结果表明:①从农村到城乡过渡型社区,建筑面积比例显著增加,道路面积比例变化不大,而林地和草地面积比例逐渐减少,景观格局逐渐变为景观类型较单一、以现代建筑为优势景观的状态,景观趋于破碎化,形状略趋复杂,城市居住小区各类景观面积比例则相对合理,但景观高度破碎化、形状较规则。②城市化过程中各类型社区人居环境质量均逐渐变好,城乡过渡型社区和农村尤为明显,城市居住小区质量明显高于过渡型社区与农村,且除城中村之外,从农村到城市居住小区社区城市化程度与人居环境质量呈正相关关系。③城市化总体上促进了社区人居环境质量的提高,但对社区人居环境各方面的作用具有不同的规律,对于环境质量、人文环境等方面具有一定的负面影响。 相似文献