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1.
This article explores the factors and mechanism driving the land-use conversion at regional level by developing and using
an econometric approach which is called the simultaneous equations model (SEM). A case study in Jiangxi Province of China
is conducted by establishing the SEM, which consists of three equations including agricultural production, land conversion
of cultivated land to built-up area and land conversion of cultivated land to forest cover/grassland from 1988 to 2005. And
then this paper employs the method of piecewise estimation to represent the influences of the factors such as population,
society, economy, location and geophysical conditions on the process of land-use conversion in Jiangxi Province. Estimation
results show that population is a predominant factor driving the land-use conversion at counties, while social and economic
factors are determinant factors in the short term for the entire Jiangxi Province. Specifically, the size of agricultural
population and the magnitude of agricultural input determine the agricultural production to a large extent; population size,
plain area proportion at counties and land management policies together affect the direction and magnitude of conversion between
cultivated land and built-up area; agricultural population proportion, terrain slope, grain production and non-agricultural
industry promote the conversion of cultivated land to forest cover/grassland. Furthermore, the explored mechanism also reveals
the underlying causes of the land use changes driven by a series of factors in Jiangxi Province. Finally, this paper concludes
that factors proven to play an important role in driving the land-use conversion need to be considered when the land management
agencies make out the land use planning to optimize the land use, expand the agricultural production, and conserve the cultivated
land. 相似文献
2.
江西省耕地转移驱动机理 总被引：15，自引：1，他引：14
构建涵盖农业生产、耕地向建设用地转移和耕地向林/草地转移的江西省土地用途转移驱动机理模型,采用分段估计逐步增加解释变量的方法测度了人口、社会、经济、区位和自然因素等驱动土地用途转移的机理。研究表明,人口规模是江西省土地用途转移的重要驱动力,社会经济因素在短时间内起决定性作用,各种驱动力以各种方式组合来增强或者减弱其对区域土地用途转移的作用效果。其中,农业人口规模及生产投入要素是影响江西省农业生产的主要因素;人口规模、平原面积比例及土地管理政策是江西省耕地向建设用地转移过程的重要解释变量;农业人口比重、地形坡度、粮食产量及非农产业是江西省耕地向林/草地转移过程的重要影响因素,并揭示了解释了江西省在众多驱动力作用下土地用途转移规律。 相似文献
3.
4.
华北平原禹城市耕地变化与驱动力分析(英文) 总被引：2，自引：0，他引：2
Taking Yucheng, a typical agricultural county in Shandong Province as a case, this study applied Logistic regression models to spatially identify factors affecting farmland changes. Using two phases of high resolution imageries in 2001 and 2009, the study obtained the land use and farmland change data in 2001-2009. It was found that the farmland was reduced by 5.14% in the period, mainly due to the farmland conversion to forest land and built-up land, although part of forest land and unused land was converted to farmland. The results of Logistic regressions indicated that location, population growth and farmer income were main factors affecting the farmland conversion, while soil types and pro-curvature were main natural factors controlling the distribution of farmland changes. Regional differences and temporal-spatial variables of farmland changes affected fitting capability of the Logistic re-gression models. The ROC fitting test indicated that the Logistic regression models gave a good explanation of the regional land-use changes. Logistic regression analysis is a good tool to identify major factors affecting land use change by quantifying the contribution of each factor. 相似文献
5.
大渡河上游地区土地利用/土地覆被变化与驱动力分析 总被引：62，自引：6，他引：56
本文以1967年、1987年、2000年三期遥感资料和1∶25万数字高程模型（DEM）及多种历史文献资料为基础,分析了大渡河上游地区18665 km2范围内的土地利用/土地覆被变化与驱动力。结果显示：1967～2000年,研究地区以林地为主导的覆被格局转变为以草地为主。其中,有林地面积的大幅度减少发挥着关键作用。33年间,有林地面积减少了319774 hm2,所占比例从30.92%下降为13.78%。通过对景观格局变化特征的分析,尤其是有林地斑块在破碎化过程中规则性的增强,同时结合历史资料分析,论证了政策因素在该地区土地利用/土地覆被变化中所发挥的主导作用。文中应用Logistic逐步回归方法,通过空间分析,在15个生物物理和社会经济因素中筛选出对不同地类具有重要影响的关键因素,并确定了它们之间的定量关系和影响大小。 相似文献
6.
洮河流域土地利用/土地覆被变化及其驱动机制研究 总被引：1，自引：1，他引：0
系统收集和整理1970s后期至2000s洮河流域土地利用/土地覆被、水文气象和经济社会发展数据,采用综合利用指数、转移矩阵、动态度、相关性和主成分分析方法及多元线性回归方法,得到结果表明,过去30 a,洮河流域总体表现为林、草面积减少、耕地面积增加、土地开发利用程度进一步提升。驱动因子相关性及主成分分析表明,洮河流域LULCC受“区域经济+农耕因素+城镇化和气候”3个主成分大类的交互影响和驱动;基于此构建的LULCC多元回归驱动模式,在率定期和验证期精度良好,能够反映洮河流域经济社会发展及区域气候对LULCC的驱动和影响。 相似文献
7.
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
8.
《地理学报(英文版)》2019,(5)
The mountainous and hilly region plays an important role in ecological safety and production in China. However, recent studies have poorly characterized the parallel structure of land use in the valleys of the mountainous and hilly region using topographic factors(e.g.elevation, slope, aspect). Here, the loess hilly region of northern Shaanxi Province is used as a representative case area to analyze the vertical distribution pattern of land-use conversion using the relative elevation concept and the HAND index. The differences in the vertical structure of land-use conversion between absolute elevation and relative elevation were compared. We found that the classifications of absolute and relative elevation had similar proportions of each relative elevation grade in each absolute elevation grade. Cropland,woodland, and grassland were distributed evenly in each grade of absolute/relative elevation,while water body, built-up land and unused land were more likely to spread in low grades of relative elevation than those of absolute elevation. The land-use conversion(i.e. loss of cropland and gain in woodland and built-up land) showed an apparently stepped distribution with relative elevation classification, suitable for revealing vertical distributions of land-use conversion in the loess hilly region. Cropland transformed to woodland was mainly distributed in high grade of relative elevation, decreasing with a decrease in grades, while built-up land transformed from cropland and grassland was mainly distributed in low grade of relative elevation, decreasing with increases in grades. The grade of relative elevation where cropland transformed to woodland descended with the implementation of the Grain for Green Project. Our results suggest that it is better to analyze the vertical distribution of land-use conversion with relative elevation classification in hilly regions. 相似文献
9.
The research on the land use/cover change is one of the frontiers and the hot spots in the global change research. Based on the Chinese resource and environment spatial-temporal database, and using the Landsat TM and ETM data of 1990 and 2000 respectively, we analyzed the spatial-temporal characteristics of land use/cover changes in the Dongting Lake area during the last decade. The result shows that during the last ten years there were three land-use types that had changed remarkably. The cultivated land decreased by 0.57% of the total cultivated land. The built-up land and water area expanded, with an increase of 8.97% and 0.43% respectively. The conversion between land use types mostly happened among these three land-use types, especially frequently between cultivated land and water area. The land-use change speed of land-use type is different. Three cities experienced the greatest degree of land-use change among all the administrative districts, which means that the land use in these cities changed much quickly. The following changed area was the west and south of the Dongting Lake area. The slowest changed area is the north and east area. 相似文献
10.
大理市土地利用变化及其驱动力分析 总被引：1，自引：0，他引：1
利用大理市1995年和2000年两期TM影像解译土地利用数据,在GIS分析工具支持下,对土地利用变化和驱动因素进行分析,得出以下结论：（1）1995年到2000年这5年期间,土地利用变化总体呈现出林地和草地减少、耕地和建筑用地增加的趋势,水域面积变化不明显;（2）土地利用年变化率为0．5％,其中以建设用地面积的年变化率最大为5．84％,耕地和林地的年变化率分别为1．85％和-1．41％,而草地和水域年变化率较小,分别为-0．7％和0．01％;（3）土地利用类型转化主要呈现出林地和草地转化为耕地,耕地和草地转化为建筑用地,林地和草地相互转化的特点;（4）土地利用结构变化不明显,总体上表现出林地占优势,耕地、草地、水域相当的结构特征;（5）自然条件对土地利用结构具有重要的控制作用,而人口增长,政府行为决策和经济的发展直接影响土地利用的变化。 相似文献
11.
近10年洞庭湖区土地利用变化时空特征 总被引：4，自引：0，他引：4
The research on the land use/cover change is one of the frontiers and the hot spots in the global change research. Based on the Chinese resource and environment spatial-temporal database,and using the Landsat TM and ETM data of 1990 and 2000 respectively, we analyzed the spatial-temporal characteristics of land use/cover changes in the Dongting Lake area during the last decade. The result shows that during the last ten years there were three land-use types that had changed remarkably. The cultivated land decreased by 0.57% of the total cultivated land. The built-up land and water area expanded, with an increase of 8.97% and 0.43% respectively. The conversion between land use types mostly happened among these three land-use types, especially frequently between cultivated land and water area. The land-use change speed of land-use type is different. Three cities experienced the greatest degree of land-use change among all the administrative districts, which means that the land use in these cities changed much quickly. The following changed area was the west and south of the Dongting Lake area. The slowest changed area is the north and east area. 相似文献
12.
榆林地区土地利用/覆被变化区域特征及其驱动机制分析 总被引：31，自引：18，他引：13
利用榆林地区1986、1995年土地利用现状图,在地理信息系统支持下建立土地利用变化转移矩阵,结合多年社会统计资料分析榆林地区10多年来的土地利用动态变化特征。研究结果表明：土地利用类型变化幅度大、流转方向较为集中,具体表现为农田总面积下降、耕地质量局部改善,林草覆盖面积增长、其它用地类型面积减少;从区域角度分析,南部黄土丘陵沟壑区耕地面积减少、成熟林地面积增加幅度大与西北部风沙区耕地面积轻微增加、天然草地优势地位增强形成鲜明对比,这种区域特征符合“因地制宜”规律,与“退耕还林还草”政策导向吻合。全区总人口及其区域分布、农民年均收入和农业人口比重为该区土地利用／覆被变化的主要驱动力,同时人们的环境保护意识和相应的土地政策也对该区土地利用／覆被变化产生较大影响。 相似文献
13.
2010-2015年中国土地利用变化的时空格局与新特征 总被引：24，自引：4，他引：20
土地利用/覆被变化是人类活动对地球表层及全球变化影响研究的重要内容。本文基于Landsat 8 OLI、GF-2等遥感图像和人机交互解译方法,获取的土地利用数据实现了中国2010-2015年土地利用变化遥感动态监测。应用土地利用动态度、年变化率等指标,从全国和分区角度揭示了2010-2015年中国土地利用变化的时空特征。结果表明：2010-2015年中国建设用地面积共增加24.6×103 km2,耕地面积共减少4.9×103 km2,林草用地面积共减少16.4×103 km2。2010-2015年与2000-2010年相比,中国土地利用变化的区域空间格局基本一致,但分区变化呈现新的特征。东部建设用地持续扩张和耕地面积减少,变化速率有所下降;中部建设用地扩张和耕地面积减少速度增加;西部建设用地扩张明显加速,耕地面积增速进一步加快,林草面积减少速率增加;东北地区建设用地扩展持续缓慢,耕地面积稳中有升,水旱田转换突出,林草面积略有下降。从“十二五”期间国家实施的主体功能区布局来看,东部地区的土地利用变化特征与优化和重点开发区的国土空间格局管控要求基本吻合;中部和西部地区则面临对重点生态功能区和农产品主产区相关土地利用类型实现有效保护的严峻挑战,必须进一步加大对国土空间开发格局的有效管控。 相似文献
14.
印度已成为全球十大经济体之一,也是全球增长最快的新兴经济体。作为世界耕地大国和农业大国,印度的土地利用格局演化对全球粮食安全和可持续发展意义重大。收集了印度2000、2010和2020年3期土地利用数据,借助景观格局指数、土地利用动态度模型、土地利用转移图谱等方法刻画了印度土地利用的规模、组成、形态、格局及时空演化特征,研究发现：①印度的土地利用类型中,耕地占比最高,2020年占总面积的62.91%。斑块形态较复杂,其面积加权平均斑块分维数为1.37。耕地总面积保持相对稳定,与其他用地类型的转入转出整体保持平衡,但耕地转为建设用地的比率近年来快速增加,2010—2020年建设用地成为耕地主转出类型,反映了快速城市化与人口增长的影响。②林地为印度第二大用地类型,空间集聚特征明显。林地面积持续而缓慢地减少,2000—2010年主要退化为未利用地（转出比率19.73%）,2010—2020年主要与草地相互转换（转入转出比率分别为17.94%、18.17%）。③印度草地分布破碎离散,因转入大于转出,总面积持续小幅度增加,2000—2010年、2010—2020年草地新增面积分别占所有用地新增面积的28.31%、28.64%,新增用地多由林地转入（分别为18.91%、18.17%）。④建设用地主要分布于首都新德里及印度东部的西孟加拉邦和阿萨姆邦,斑块相对规则。近年来,印度建设用地面积不断扩张,2010—2020动态度达2.51%,主要由耕地转入。⑤构建地理加权回归模型,发现极端温度、高程、人口、GDP与政策是印度耕地与建设用地演化的主要驱动因子。 相似文献
15.
内蒙古高原浑善达克沙地区土地利用与覆被变化及退化趋势 总被引：2，自引：0，他引：2
浑善达克沙地及其周边地区是我国北方沙尘暴多发区之一,该区的土地利用与覆被变化反映了一系列的环境与社会经济问题。基于卫星遥感信息和空间数据处理技术,并结合地面实地调查资料、气象观测和社会经济数据,得出了20世纪80年代末至90年代末这一地区土地利用与覆被变化情况。结果表明:耕地、建设用地和未利用地明显增加,草地和水域减少,变化面积最大的是草地,有944.42 km2的草地转变为其他用地类型;从变化速率来看,最快的是建设用地,增加了19.8%,其次是耕地,增加10.2%。土地利用转变的主要类型是草地向耕地和未利用地的转变,及耕地向建设用地的转变;呈退化趋势的土地面积近3倍于恢复土地面积。就土地利用与覆被变化的社会经济背景进行了深入分析。 相似文献
16.
拉萨地区土地利用变化情景分析 总被引：24，自引：2，他引：22
根据西藏拉萨地区1990年、1995年和2000年3个时点的土地利用数据,应用马尔科夫过程模型分析了未来20年内拉萨地区的土地利用情景变化,并与90年代制定的拉萨地区土地利用规划面积进行了对比研究。研究结果:1)10年间,土地利用类型变化最广泛的是牧草地。变化方向主要由牧草地向耕地、园地、林地、居民点及水域转变,其中变成林地的面积最大,为2338.25hm2(占变化面积的94.093%);2)拉萨地区未来20年中土地利用类型发展趋势是耕地、牧草地、水域和未利用土地面积将进一步减少,林地、园地和居民点面积将进一步增加;3)土地利用规划面积与基于马尔科夫模型的土地利用变化情景分析结果比较吻合,马尔科夫过程模型对制定该区域土地利用规划具有重要的参考价值;4)由于土地利用变化是一个复杂的过程,不仅受到众多自然因素的影响,而且受到未来土地利用政策、社会经济发展、区域内大型工程项目及其他人类活动等不确定因素的影响,从而不同土地利用类型之间的转移概率会发生变化,使得基于马尔科夫过程模型预测的精度有一定的局限性。 相似文献
17.
巴西土地利用/覆盖变化时空格局及驱动因素 总被引：6，自引：1，他引：5
土地利用/覆盖变化(LUCC)是全球变化研究的热点问题之一。本文采用人机交互方法基于2005 年基准年的Landsat TM/ETM遥感影像修正欧空局GlobalCover 2005 年土地利用数据,进而采用逆时相目视解译法从1980年基准年的Landsat MSS/TM遥感影像数据提取1980-2005 年土地利用/覆盖变化信息,分析其变化的时空格局及驱动因素。结果表明:1980-2005年的25年间,巴西土地利用/覆盖变化面积达79.43万km2,占土地总面积的9.33%。其中,单纯耕地像元面积增加了20.18 万km2;耕地/自然植被镶嵌混合像元区面积增加了10.70 万km2;林地面积减少了53.12 万km2;灌丛与草地净增加21.10 万km2;水体面积增加0.46 万km2;城乡建设用地面积增加7573.87 km2。由此导致热带和亚热带湿润阔叶林生态地理区、热带和亚热带干旱阔叶林生态地理区、热带及亚热带草原生态地理区、草原和沼泽湿地生态地理区、沙漠和旱生植物生态地理区以及红树林生态地理区内分别呈现不同的土地利用/覆盖变化特征。近25 年间,地形地貌、气候、植被等自然地理条件深刻影响着土地利用的宏观格局,而土地利用政策调控、经济及对外贸易发展、人口增加及空间迁移、道路修建等是导致巴西土地利用变化的主要原因。 相似文献
18.
Jia Ning Jiyuan Liu Wenhui Kuang Xinliang Xu Shuwen Zhang Changzhen Yan Rendong Li Shixin Wu Yunfeng Hu Guoming Du Wenfeng Chi Tao Pan Jing Ning 《地理学报(英文版)》2018,28(5):547-562
Land use/cover change is an important theme on the impacts of human activities on the earth systems and global environmental change. National land-use changes of China during 2010–2015 were acquired by the digital interpretation method using the high-resolution remotely sensed images, e.g. the Landsat 8 OLI, GF-2 remote sensing images. The spatiotemporal characteristics of land-use changes across China during 2010–2015 were revealed by the indexes of dynamic degree model, annual land-use changes ratio etc. The results indicated that the built-up land increased by 24.6×103 km2 while the cropland decreased by 4.9×103 km2, and the total area of woodland and grassland decreased by 16.4×103 km2. The spatial pattern of land-use changes in China during 2010–2015 was concordant with that of the period 2000–2010. Specially, new characteristics of land-use changes emerged in different regions of China in 2010–2015. The built-up land in eastern China expanded continually, and the total area of cropland decreased, both at decreasing rates. The rates of built-up land expansion and cropland shrinkage were accelerated in central China. The rates of built-up land expansion and cropland growth increased in western China, while the decreasing rate of woodland and grassland accelerated. In northeastern China, built-up land expansion slowed continually, and cropland area increased slightly accompanied by the conversions between paddy land and dry land. Besides, woodland and grassland area decreased in northeastern China. The characteristics of land-use changes in eastern China were essentially consistent with the spatial govern and control requirements of the optimal development zones and key development zones according to the Major Function-oriented Zones Planning implemented during the 12th Five-Year Plan (2011–2015). It was a serious challenge for the central government of China to effectively protect the reasonable layout of land use types dominated with the key ecological function zones and agricultural production zones in central and western China. Furthermore, the local governments should take effective measures to strengthen the management of territorial development in future. 相似文献
19.
榆林市农业景观格局变化研究 总被引：12，自引：7，他引：5
根据1986年和2000年两期TM影像资料和其他辅助资料, 运用人机交互解译方法以及地理信息系统的空间分析和数理统计功能, 分析了榆林市农业景观格局变化, 包括土地利用数量变化、变化速度和区域差异等特征, 以及各景观类型之间的转化情况, 并对景观格局变化进行了定量分析。结果表明: 14a间, 榆林市未利用地减少1305.56km2, 其中主要是沙地减少; 耕地、林地、草地分别增加567.11km2、99.6km2和616.79km2; 未利用地和建设用地的变化率最大, 分别为-22.11%和18.18%; 土地利用变化存在明显的区域差异; 各类型间的转化突出表现为未利用地向草地转化, 草地向林地和耕地转化。榆林市近十几年景观类型发生了明显转换, 土地整治取得显著成绩。 相似文献
20.
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