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Chinese Academy of Sciences Institutional Repositories Grid
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山东沿海地区土地利用和景观格局变化

文献类型:期刊论文

作者吴莉1,2; 侯西勇1; 徐新良3; 邸向红1
刊名农业工程学报
出版日期2013-03-01
卷号29期号:5页码:207-216+293
ISSN号1002-6819
关键词土地利用 景观格局 模型 山东沿海区域
其他题名Land use and landscape pattern changes in coastal areas of Shandong province, China
通讯作者侯西勇 Email:xyhou@yic.ac.cn
产权排序中国科学院烟台海岸带研究所;中国科学院研究生院;中国科学院地理科学与资源研究所;
中文摘要为分析和预测山东省沿海区域土地利用和景观格局变化,该文将景观格局指数作为评价土地利用变化模拟模型的基本指标;基于RS和GIS技术分析2000-2010年土地利用和景观格局的变化特征,并尝试CA-Markov模型预测土地利用变化,发现其在景观格局预测方面的不足,因而探索和提出Spatial-Markov模型,该模型不仅适合于土地利用变化模拟,也适合于景观格局过程分析。具体包括:1)基于2000、2005和2010年的Landsat影像进行土地利用分类,分析10a间土地利用和景观格局的变化特征,表明:耕地面积不断减少,城镇和农村居民点用地不断扩张而占用大量耕地,草地等又不断开垦为耕地;区域景观格局...
英文摘要In this paper, the Spatial-Markov model, which was based on the theory of Markov process and spatial analysis techniques, was proposed to simulate land use change and landscape dynamics. By the Spatial-Markov model, the study area could be divided into numerous lattices and land use change in each lattices was simulated separately by the Markov process model. The outputs of the model include a set of ratio scale images and a nominal scale image. The whole process of the model was fulfilled by compiling programs with AML in ArcGIS 9.3. The coastal area of Shandong province was selected as the case study area. Land use maps were extracted based on Landsat TM/ETM+ images captured in 2000, 2005, and 2010 respectively. Firstly, characteristics of land use change and landscape dynamics were analyzed. It showed that, from 2000 to 2010, urban area and rural settlement expanded dramatically by massively occupying farmland, which, in turn, drove grassland reclaimed to farmland. At the landscape level, the landscape fragmentation increased, and both the diversity and evenness of the landscape increased. Secondly, using land use maps in 2000 and 2005, the Spatial-Markov model was developed to simulate the land use map in 2010 at a spatial scale of 500m. At the same time, the CA-Markov model was selected for model comparison, in specific, eleven driving factors were selected and the Logistic regression method was used to create the transitional maps for CA. Both Kappa coefficient and landscape indices were introduced to evaluate and compare the two models. It showed that the Spatial-Markov model not only achieved much higher Kappa coefficient, but also much better landscape indices than the CA-Markov model. Therefore, the Spatial-Markov model was applied to predict land use change and landscape dynamics in the next decade. Moreover, the prediction result shows that, from 2010 to 2020, areas of urban area and rural settlement will go on increasing, while areas of farmland will continue to decline. At the landscape level, all the landscape indices will follow their historical trend except for fractal dimension. As to the landscape indices at the class level, all landscape types will follow the same trend as before except for water and unused land.
学科主题地理学
资助信息中国科学院知识创新工程重要方向项目(kzcx2-yw-224);; 中国科学院战略性先导科技专项—应对气候变化的碳收支认证及相关问题(XDA05130703);; 国家自然科学基金项目(40801016)
收录类别CSCD
语种中文
CSCD记录号CSCD:4788913
公开日期2013-08-15
源URL[http://ir.yic.ac.cn/handle/133337/6503]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
作者单位1.中国科学院烟台海岸带研究所
2.中国科学院研究生院
3.中国科学院地理科学与资源研究所
推荐引用方式
GB/T 7714
吴莉,侯西勇,徐新良,等. 山东沿海地区土地利用和景观格局变化[J]. 农业工程学报,2013,29(5):207-216+293.
APA 吴莉,侯西勇,徐新良,&邸向红.(2013).山东沿海地区土地利用和景观格局变化.农业工程学报,29(5),207-216+293.
MLA 吴莉,et al."山东沿海地区土地利用和景观格局变化".农业工程学报 29.5(2013):207-216+293.

入库方式: OAI收割

来源:烟台海岸带研究所

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