期刊文献+

基于RS和GIS的长沙市生态功能分区 被引量:29

Ecological functional regionalization of Changsha City based on RS and GIS
下载PDF
导出
摘要 提出了基于城市、城郊生态过渡区及其周围自然生态支持系统为统一体的城市生态功能分区思想,并建立了长沙市生态-社会-经济信息系统数据库.通过参数选取与权重确定,进行生态适宜度、生态环境敏感性、生态服务功能重要性与经济社会发展水平分区.依据生态功能的空间异质性和生态功能单元内部均质性,将长沙市划分为5类城市生态功能区:Ⅰ类区占总面积的29.47%;Ⅱ类区占总面积的32.5%;Ⅲ类区占总面积的25.95%;Ⅳ类区占总面积的9.63%;Ⅴ类区占总面积的2.45%.分区结果对长沙市发展有指导意义.该研究方法优点有:制图过程定量化、自动化;可在短期内产生最新专题图产品;结合GPS和RS,可以通过监测区域边界类型的变化,进行生态环境监控,为RS数据实时进入G IS系统提供了途径. A delineation method based on the idea of regarding urban-suburban-supperting area as a system was presented in this paper, with an ecological-social-economic database created. A total of five ecological suitability regions, four ecological sensitivity regions, four ecological service regions, and five economic development regions were plotted out, and the Changsha City ecosystem was divided into five ecological functional regions, according to the heterogeneity among ecological functional units and the similarity of interior units. The areas of the five functional regions accounted for 29.47%, 32. 5%, 25.95%, 9. 63% and 2. 45% of the total area, respectively. This research method had some advantages over traditional methods. It was flexible and efficient, because it could accept any combination of parameters organized on a polygonal base map. The variables could be added, deleted, or updated to produce new thematic map products in a short period of time. Mapping procedures were quantitative and automated. With the incorporation of remote sensing data and global position system rapid positioning, the ecological and environmental changes could be detected by monitoring the changes of regional boundary patterns. Therefore, the ecological functional regionalization of Changsha City provided a fine way of integrating remote sensing data, global position system, and geographic information system.
出处 《应用生态学报》 CAS CSCD 北大核心 2006年第7期1269-1273,共5页 Chinese Journal of Applied Ecology
基金 国家杰出青年科学基金(50225926 50425927) 高等学校博士学科点专项科研基金项目(20020532017) 2000年教育部高等学校优秀青年教师教学科研奖励计划资助项目
关键词 生态功能分区 城市生态系统 遥感 空间异质性 Ecological functional regionalization, Urban ecosystem, Remote sensing, Spatial heterogeneity.
  • 相关文献

参考文献33

  • 1Aspinall RJ,Pearson DM.2000.Integrated geographical assessment of environmental condition in water catchments:Linking landscape ecology,environmental modeling and GIS.J Environ Manage,59 (4):299 ~319
  • 2Attrill MJ,Rundle SD.2002.Ecotone or ecocline:Ecological boundaries in estuaries.Estuarine Coastal Shelf Sci,55 (6):929 ~936
  • 3Bailey RG.2004.Identifying ecoregion boundaries.Environ Manage,34 (1):14 ~26
  • 4Bernert JA,Eilers JM,Sullivan TJ,et al.1997.A quantitative method for delineating regions:An example for the western corn belt plains ecoregion of the USA.Environ Manage,21 (3):405 ~420
  • 5Bertinelli L,Clarke SE.2004.Urbanization and growth.J Urban Econ,56 (1):80 ~ 96
  • 6Bryce SA,Clarke SE.1996.Landscape-level ecological regions:Linking state-Level ecoregion frameworks with stream habitat classifications.Environ Manage,20 (3):297 ~ 311
  • 7Bydekerke L,Ranst E van,Vanmechelen L.1998.Land suitability assessment for cherimoya in southem Ecuador using expert knowledge and GIS.Agric Ecosyst Environ,69 (2):89 ~98
  • 8Clarke SE,White D,Schaedel AL.1991.Oregon,USA,ecological regions and subregions for water quality management.Environ Manage,15 (6):847 ~ 856
  • 9Davis WS,Simon TP.1995.Biological Assessment and Criteria:Tools for Water Resource Planning and Decision Making.US:CRC Press.49 ~ 50
  • 10傅伯杰,刘国华,陈利顶,马克明,李俊然.中国生态区划方案[J].生态学报,2001,21(1):1-6. 被引量:449

二级参考文献37

  • 1王思敬,戴福初.环境工程地质评价、预测与对策分析[J].地质灾害与环境保护,1997,8(1):27-34. 被引量:24
  • 2Friedl M A. Maximizing Land Cover Classification Accurac-ies Produced by Decision Trees at Continental to Global Scales[J]. IEEE Trans Geosci Remote Sensing,1999,37:969-977.
  • 3Enhanced Vegetation Index (EVI)[R]. http://tbrs.arizona.edu/project/MODIS/evi.php,2003.
  • 4Mcfeeters S K. The Use of the Normalized Difference Water Index(NDWI)in the Delineation of Open Water Features[J]. Int J Remote Sensing,1996,17(7):1425-1432.
  • 5Borak J S, Strahler A H. Feature Selection and Land Cover Classification of a MODIS-like Data Set for a Semiarid Environment[J]. Int J Remote Sensing,1999,20:919-938.
  • 6Muchoney D, Borak J. Application of the MODIS Global Supervised Classification Refel to Vegetation and Land Cover Mapping of Central America[J]. Int J Remote Sensing,2000,21:1115-1138.
  • 7Price J C. Compare MODIS and ETM+ Data for Regional and Global Land Classification[J]. Remote Sensing of Environment,2003,86:491-499.
  • 8侯学煜,中国自然生态区划与大农业发展战略,1988年
  • 9侯学煜,植物生态学与地植物学丛刊,1963年,1卷,1/2期,1页
  • 10Gopal S. Fuzzy Neural Network Classification of Global Land Cover from a 1° AVHRR Data Set[J]. Remote Sensing of Environment,1999,67:230-243.

共引文献869

同被引文献419

引证文献29

二级引证文献360

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部