以京津冀都市圈为例,运用马尔科夫转移矩阵、景观格局指数和Logistic-CA-Markov耦合模型等,对各地类转移情况、景观格局特征、影响因子和未来变化趋势进行分析和多情景模拟。结果表明:①景观水平上,总体景观破碎化程度加大。类型水平上,耕地、草地和林地是主导优势地类。②1985~2000年之间,耕地主要流向城乡居民点及工矿用地、水域和林地;城乡居民点及工矿用地的增加主要来自于耕地、草地、林地。③各个地类的分布均与原有地类的距离密切相关。④对土地利用变化设置三个模拟情景,按情景1,1985~2030年耕地、林地、草地、未利用地均不同程度减少;城乡居民点及工矿用地、水域明显增加,表明这期间城市化进程明显加快,建设用地不断占用周围的耕地。
Taking the Beijing-Tianjin-Hebei metropolitan region as an example, firstly, the best analysis grid size which is 100m is determined. Secondly, using the methods such as Markov transition matrix and landscape pattern indices and so on, land use change, land type transformation, landscape patterns characteristics and land use impact factors are analyzed in the study area. Then, Logistic-CA-Markov coupled model is applied to the quantitative prediction and spatial simulation on the trend of land use change under three different scenarios. The results showed that, ① On the landscape level, the overall degree of landscape fragmentation in the study area is increasing, which is exacerbated by human activities. On the patch type level, urban areas are continuous expanding, and farmland, grassland and woodland are dominant types in the study area, and the degree of fragmentation of cultivated land and water are significantly increased. ② During 1985 to 2000, the cultivated land is the main source of land transfer, which is mainly converted to the residents and urban land, mining land, water and forest. In addition, residents and urban land and mining land mainly come from the cultivated land, grassland and woodland. ③ The distribution of each land type is related to many factors, moreover, the common one is the distance to the original land use type. ④ According to the scenario 1 of land use changes simulating, the cultivated land, woodland, grassland and unused land reduce in varying degrees from 1985 to 2030; on the contrary, urban and residential land and mining land and water increase significantly, which indicate that significantly speeding up of the urbanization process. The construction land is constantly expanding around the original one, and taking up a lot of farmland and other non-agricultural construction.
[1] Verburg P H,Soepboer W,Veldkame A,et a1.Modeling the spatial dynamics of regional land use: the CLUE-S model[J] Environmental Management,2002,30(3) :391-405.
[2] Teerasit K,Manoj K A,Pramod K,et a1.Super resolution land cover mapping using a Markov randomfield based approach [J].Remote Sensing of Environment,2005,96(3/4) : 302-314.
[3] 陆汝成,黄贤金,左天惠,等.基于CLUE-S和Markov复合模型的土地利用情景模拟研究——以江苏省环太湖地区[J].地理科学,2009,29(4): 577~581.
[4] 陈利顶,王计平,姜昌亮,等.廊道式工程建设对沿线地区景观格局的影响定量研究[J]. 地理科学,2010,30(2): 161~167.
[5] 杨国清,刘耀林,吴志峰.基于CA-Markov模型的土地利用格局变化研究[J].武汉大学学报(信息科版学),2007,32(5) :414~418.
[6] 汤 洁,汪雪格,李昭阳,等.基于CA-Markov模型的吉林省西部土地利用景观格局变化趋势预测[J].吉林大学学报:地球科学版,2010,40(2): 405~411.
[7] 谢叶伟,刘兆刚,赵 军,等.基于RS与GIS的典型黑土区土地利用变化分析——以海伦市为例[J].地理科学,2010,30(3): 428~434.
[8] 高玉宏,张丽娟,李文亮,等.基于空间模型和CA的城市用地扩展模拟研究——以大庆市为例[J].地理科学,2010,30(5): 723~727.
[9] 秦贤宏,段学军,李 慧,等.基于SD和CA的城镇土地扩展模拟模型——以江苏省南通地区为例[J].地理科学,2009,29(3): 439~444.
[10] 陈颖彪,周倩仪,陈健飞.近30年广州市土地覆被变化时空特征分析[J].地理科学,2009,29(3): 368~374.
[11] 樊 杰.京津冀都市圈区域综合规划研究[M].北京:科学出版社,2008.
[12] Guan Dongjie,Gao Wenjun,Wateri Kazuyuki.Land use change of Kitakyushu based on landscape ecology and Markov model[J].Journal of Geographical Sciences,2008,18(4) :455-468.
[13] 段增强,张凤荣,孔祥斌.土地利用变化信息挖掘方法及其应用[J].农业工程学报,2005,21(12):60~66.
[14] 谢花林,李 波.基于logistic回归模型的农牧交错区土地利用变化驱动力分析——以内蒙古翁牛特旗为例[J].地理研究,2008,27(2):294~304.
[15] 姜文亮.基于GIS和空间Logistic模型的城市扩展预测——以深圳市龙岗区为例[J].经济地理,2007,27(5):800~804.
[16] 王 静,何 挺,郭旭东,等.基于逻辑回归模型的环北京地区土地退化态势分析[J].地理科学进展,2005,24(5): 23~33.
[17] Pontius R G Jr,Laura C S.Land-cover change model validation by an ROC method for the Ipswichwatershed, Massachusetts,USA[J].Agriculture, Ecosystems and Environment,2001,8(5):239-248.
[18] 王济川,郭志刚.Logistic回归模型——方法与应用[M].北京:高等教育出版社,2001.
[19] 唐宽金.基于景观生态学的土地利用时空格局变化研究——以长清区为例.山东师范大学硕士学位论文,2009,4.
[20] 田静毅.秦皇岛市生态环境信息图谱模型及生态安全研究.吉林大学博士学位论文,2007,12.