北京湿地景观格局演变特征与驱动机制分析

doi:10.11821/xb201101008

地理学报 ›› 2011, Vol. 66 ›› Issue (1): 77-88.doi: 10.11821/xb201101008

北京湿地景观格局演变特征与驱动机制分析

宫兆宁^1,2,3,4, 张翼然^1,2,3,4, 宫辉力^1,2,3,4, 赵文吉^1,2,3,4

1. 三维信息获取与应用教育部重点实验室, 北京100048;
2. 北京市城市环境过程与数字模拟国家重点实验室培育基地, 北京100048;
3. 资源环境与地理信息系统北京市重点实验室, 北京100048;
4. 首都师范大学资源环境与旅游学院, 北京100048

收稿日期:2010-10-08 修回日期:2010-11-09 出版日期:2011-01-25 发布日期:2011-01-25
通讯作者: 张翼然, 女, E-mail: zyiran2005@yahoo.com.cn
作者简介:宫兆宁, 女, 博士, 讲师, 主要从事湿地遥感监测研究。E-mail: gongzhn@163.com
基金资助:
北京市科技计划项目(D08040600580801); 国际科技合作项目(2010DFA92400)

Evolution of Wetland Landscape Pattern and Its Driving Factors in Beijing

GONG Zhaoning^1,2,3,4, ZHANG Yiran^1,2,3,4, GONG Huili^1,2,3,4, ZHAOWenji^1,2,3,4

1. Key Laboratory of 3D Information Acquisition and Application of Ministry;
2. Base of the State Laboratory of Urban Environmental Processes and Digital Modeling;
3. Key Laboratory of Resource Environment and GIS of Beijing;
4. College of Resources Environment & Tourism, Capital Normal University, Beijing 100048, China

Received:2010-10-08 Revised:2010-11-09 Online:2011-01-25 Published:2011-01-25
Supported by:
Technology Plan Project of Beijing, No.D08040600580801, International S&T Cooperation Project，No.2010DFA92400

摘要/Abstract

摘要： 在遥感和GIS技术的支持下，应用1984-2008 年多时相长时间序列的TM遥感数据，选取斑块总面积、平均面积、分维度、多样性、优势度和聚集度等具有典型生态意义的景观格局指数，对北京湿地20 多年的湿地景观格局演变特征进行分析，探索其演变机制。结果表明：北京湿地总面积在总体上呈先增加后急剧减少再小幅回升的趋势，1994 年的湿地总面积仅为2004 年的47.37%。北京湿地以人工湿地为主，其变化主导着湿地总面积的变化趋势。水库湖泊湿地类型面积占到33.50%~53.73%，其平均面积高于其他湿地类型。坑塘稻田类型的平均面积最小，其面积比例为16.46%~45.09%。河流湿地由于受到自然驱动因子作用较大，其分维度指数高于人工湿地类型；1992-2004 年湿地景观多样性指数由1.11 上升到1.34，表明此阶段各类型所占面积比例分布趋于均匀，而聚集度指数从65.59 下降到58.41，表明景观连通性降低，破碎化程度加重。研究不同湿地类型空间质心变化表明：密云水库面积最大，导致水库湖泊类型质心位于密云县内；1984-1998 年充足的降水使河流湿地质心整体向东北方向偏移了10.43 km，1999-2006 年，连续干旱和大量不合理的开采利用，河流湿地质心向西南部偏移了10.75 km；由于受“退稻还旱”政策影响，使得北部地区的水稻种植面积减小，坑塘稻田湿地质心2006 年以后向南偏移；市区北部兴建的奥林匹克森林公园，使2008年公园湿地质心向海淀区北部偏移。

关键词: 北京, 湿地资源, 景观格局, 演变特征, 驱动机制

Abstract: Supported by remote sensing and GIS technology, using multi-temporal TM images from 1984 to 2008 in Beijing, this paper analyzed the dynamic characteristics of wetland landscape pattern through selected indices including patch area, patch average area, fractal dimension index, diversity, dominance and contagion indices. Furthermore, the spatial centroids of each wetland type were calculated. Finally, the paper explored the evolution mode and driving factors of wetland landscape pattern. The results were obtained as follows: the total wetland area increased during the period 1984-1996, while it obviously declined from 1996 to 2004. The wetland area in 1994 accounted for only 47.37% of that in 2004. The proportion of artificial wetland area was larger than that of natural wetland. The proportion of reservoir wetland was 33.50%-53.73% and had the maximum average area. Pond and paddy field wetland type with the least average area accounted for 16.46%-45.09% of the total wetland area. The driving force of natural river wetland is mainly natural elements, so its fractal dimension index is greater than the others. The Shannon diversity index of wetland landscape increased from 1.11 in 1992 to 1.34 in 2004, indicating that the difference between proportions of each wetland type decreased and its area was evenly distributed. The contagion index went down from 65.59 to 58.41, indicating that the connectivity decreased. Miyun reservoir had the largest area and its area change had a great impact on the location of the centroid. Wetland resources degenerated gradually for the joint effects of natural and artificial factors. During the period 2006-2008, the precipitation increased and the droughty condition was relieved. The government implemented a series of proactive policies to save water resources, and the wetland area increased.

Key words: Beijing, wetland resources, landscape pattern, evolution, driving factor

宫兆宁, 张翼然, 宫辉力, 赵文吉. 北京湿地景观格局演变特征与驱动机制分析[J]. 地理学报, 2011, 66(1): 77-88.

GONG Zhaoning, ZHANG Yiran, GONG Huili, ZHAOWenji. Evolution of Wetland Landscape Pattern and Its Driving Factors in Beijing[J]. Acta Geographica Sinica, 2011, 66(1): 77-88.

参考文献

[1] Fu Bojie, Lu Yihe, Chen Liding et al. The latest progress of landscape ecology in the world. Acta Ecologica Sinica, 2008, 28(2): 798-804. [傅伯杰, 吕一河, 陈利顶等. 国际景观生态学研究新进展. 生态学报, 2008, 28(2): 798-804.]

[2] Wang Genxu, Cheng Guodong. Study on the landscape pattern of a desert-oasis ecological system: A spatial grid methodand its application. Arid Zone Research. 1999, 16(3): 6-11. [王根绪, 程国栋. 荒漠绿洲生态系统的景观格局分析: 景观空间方法与应用. 干旱区研究, 1999, 16(3): 6-11.]

[3] Ding Shengyan, Liang Guofu. Landscape pattern change of regional wetland along the Yellow River in Henan Provience inthe last two decades. Acta Geographica Sinica, 2004, 59(5): 653-661. [丁圣彦, 梁国付. 近20 年来河南沿黄河湿地景观格局演化, 地理学报, 2004, 59(5):653-661.]

[4] Lu Xianguo, Jiang Ming. Process and prospect of wetland research in China. Journal of Geographical Sciences, 2004, 14( suppl.) : 45-51.

[5] Zhou Demin, Gong Huili, Hu Jinming et al. Application of satellite remote sensing technology to wetland research. RemoteSensing Technology and Application, 2006, 21(6): 577-583. [周德民, 宫辉力, 胡金铭等. 中国湿地卫星遥感的应用研究.遥感技术与应用, 2006, 21(6): 577-583.]

[6] Niu Zhenguo, Gong Peng, Cheng Xiao et al. Geographical characteristics of China's wetlands derived from remotely senseddata. Science in China: Series D, 2009, 52(6): 723-738.

[7] Wang Aihua. Study on dynamic change of mire in Sanjiang Plain based on RS and GIS. Scientia Geographica Sinica, 2002,22(5): 636-640. [汪爱华. RS和GIS支持下的三江平原沼泽湿地动态变化研究. 地理科学, 2002, 22(5): 636-640.]

[8] Chopra R, Verma V K, Sharma P K. Mapping, monitoring and conservation of Harike wetland ecosystem, Punjab, India,through remote sensing. International Journal of Remote Sensing, 2001, 22(1): 89-98.

[9] Xue T X, Ye B, Liu J Y. A patch connectivity index and its change in relation to new wetland at the Yellow River Delta.International Journal of Remote Sensing, 2004, 25(21): 4617-4628.

[10] Liang Guofu, Ding Shengyan. Impacts of Human activity and natural change on the wetland landscape pattern along theYellow River in Hennan Province. Journal of Geographical Sciences, 2004, 14(3): 339-348.

[11] Tang J, Wang L et al. Investigating landscape pattern and its dynamics in Daqing, China. International Journal of RemoteSensing, 2005, 26(11): 2259-2280.

[12] Song Kaishan, Liu Dianwei, Wang Zongming et al. Landuse change in Sanjiang Plain and its driving forces analysis since1954. Acta Geographica Sinica, 2008, 63(1): 93-104. [宋开山, 刘殿伟, 王宗明等. 1954 年以来三江平原土地利用变化及驱动力. 地理学报, 2008, 63(1): 93-104.]

[13] Roshier D A, Rumbachs R M. Board-scale mapping of temporary wetlands in arid Australia. Journal of AridEnvironments, 2004, 56(2): 249-263.

[14] Zhang Guokun. The dynamic change of wetland landscape patterns in Xinkai River Basin. Journal of Natural Resources,2007, 22(3): 204-210. [张国坤. 新开河流域湿地景观格局动态变化过程研究. 自然资源学报, 2007, 22(3): 204-210.]

[15] Bai Junhong, Ouyang Hua, Yang Zhifeng et al. Change in wetland landscape patterns: A review. Progress in Geography,2005, 24(4): 36-45. [白军红, 欧阳华, 杨志峰等. 湿地景观格局变化进展研究. 地理科学进展, 2005, 24(4): 36-45.]

[16] Fujihara M, Kikuchi T. Changes in the landscape structure of the Nagara River Basin, central Japan. Landscape and UrbanPlanning, 2005, 70(3/4): 271-281.

[17] Ning Longmei, Wang Xuelei, Wu Houjian. Change of wetland ecology landscape pattern of Wuhan City by RS and GIS.Resources and Environment in the Yangtze Basin, 2005, 14(1): 44-49. [宁龙梅, 王学雷, 吴后建. 武汉市湿地景观格局变化研究. 长江流域资源与环境, 2005, 14(1): 44-49.]

[18] Liu Hongyu, Zhang Shikui, Lu Xianguo. Wetland landscape structure and the spatial-temporal change in 50 years in theSanjiang Plain. Acta Geographica Sinica. 2004, 59(3): 391-400. [刘红玉, 张世奎, 吕宪国. 三江平原湿地景观结构的时空变化. 地理学报, 2004, 59(3): 391-400.]

[19] Zhao Ruifeng, Zhou Huarong, Xiao Duning et al. Changes of wetland landscape pattern in the middle and lower reachesof the Tarim River. Acta Ecologica Sinica, 2006, 26(10): 3470-3478. [赵瑞锋, 周华荣, 肖笃宁等. 塔里木河中下游地区湿地景观格局变化. 生态学报, 2006, 26(10): 3470-3478.]

[20] Zhang Zhifeng, Zhao Wenji, Jia Ping. Wetland research and monitoring in Beijing. Geo-Information Science, 2004, 6(1):53-57. [张志峰, 赵文吉, 贾萍. 北京湿地分析与监测. 地球信息科学, 2004, 6(1): 53-57.]

[21] Wang Ying, Gong Huili, Zhao Wenji. The change of Yeyahu wetland resource in Beijing. Acta Geographica Sinica, 2005,60(4): 656-664. [王颖, 宫辉力, 赵文吉. 北京野鸭湖湿地资源变化特征. 地理学报, 2005, 60(4): 656- 664.]

[22] Zhou Xinwei, Gong Huili, Zhao Wenji. Dynamic monitoring and analysis of wetland resources in Beijing. ActaGeographica Sinica, 2006, 61(6): 654-662. [周昕薇, 宫辉力, 赵文吉. 北京地区湿地资源动态监测与分析. 地理学报,2006, 61(6): 654-662.]

[23] Zhou Demin, Gong Huili, Hu Jinming et al. Probe into the landscape pattern of freshwater wetland communities: A casestudy in the Honghe National Nature Reserve in Sanjiang Plain, China. Journal of Nature Resource, 2007, 22(1):86-96. [周德民, 宫辉力, 胡金铭等. 三江平原淡水湿地生态系统景观格局特征研究: 以洪河湿地自然保护区为例. 自然资源学报, 2007, 22(1): 86-96.]

[24] Zhao Wenji, Gong Zhaoning, Gong Huili et al. Using remote sensing to research Beijing wetlands dynamics. Science inChina: Series E, 2006, 49: 97-107.

[25] Fu Bojie, Chen Liding, Ma Keming et al. Theory and Application of Landscape Ecology. Beijing: Science Press, 2001. [傅伯杰, 陈利顶, 马克明等. 景观生态学原理及应用. 北京: 科学出版社, 2001.]

[26] Mc Garigal K, Marks B J. FRAGSTATS: Spatial analysis program for quantifying landscape structure. Reference Manual.Forest Science Department, Oregon state University, Corvallis Oregon, March, 1994: 62. +Append.

[27] Wu Jianguo. Landscape Ecology: Pattern, Process, Scale and Hierarchy. 2nd ed. Beijing: Higher Education Press,2007. [邬建国. 景观生态学: 格局、过程、尺度与等级. 2 版. 北京: 高等教育出版社, 2007.]

[28] Wang Fahui. Quantitative Methods and Application in GIS. LLC: CRC Press, 2006.

[29] Wang Wenjie, Shen Wenming, Li Xiaoman et al. Research on the relation of the urbanization and urban heat island effectchanges in Beijing based on remote sensing. Research of Environmental Sciences, 2006, 19(2): 44-48. [王文杰, 申文明,刘晓曼等. 基于遥感的北京市城市化发展与城市热岛效应变化关系研究. 环境科学研究, 2006, 19(2): 44-48.]

[30] The Statistic Bureau of Beijing. Beijing Statistical Yearbook. Beijing: China Statistics Press, 2009. [北京市统计局. 北京统计年鉴. 北京: 中国统计出版社, 2009.]

北京湿地景观格局演变特征与驱动机制分析

Evolution of Wetland Landscape Pattern and Its Driving Factors in Beijing

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