期刊文献+

长株潭核心区土地利用生态风险多尺度调控决策 被引量:14

Multi-Scale Controlling Decision of Land Use Ecological Risk in Chang-Zhu-Tan Core Area
原文传递
导出
摘要 根据长株潭核心区1989、1996、2000和2008年的遥感影像数据资料,提取区域土地利用变化数据进行时间、空间及功能尺度特征分析。结果表明,长株潭核心区土地利用生态风险调控的尺度选择具有多尺度性。8—9年是最佳的时间分析尺度,2km左右的分析粒径是最佳的空间分析尺度,而功能尺度则是融合了时间与空间尺度及生态功能的特征,具有更复杂的变化,并依据分析结果提出了多尺度的差异化土地利用生态风险调控策略。 Changsha,Zhuzhou and Xiangtan,the key components of Chang-Zhu-Tan urban agglomeration and the core growth pole of economy development in Hunan province,have been accelerating their economic and social development and urbanization in recent years.The research on the relationship among time,location and land use change characteristics scale from analysis on study area,on the basis of the data of land use change extracted from the remote sensing image data in four periods from 1989 to 2008 shows that the scale change in Changsha-Zhuzhou-Xiangtan core area to determine their selection in land use characteristic scale,which is supported by :①The temporal analysis about 8 to 9 years being the most appropriate scale;②The spatial analysis about 2 km being the most appropriate scale;③The function scale emerged spatio-temporal and ecological risk of land use,combined the variation of land use,is the most complicated scale.Finally,different controlling strategy of multi-scale land use ecological risk had been proposed.
出处 《经济地理》 CSSCI 北大核心 2012年第7期118-122,共5页 Economic Geography
基金 教育部人文社会科学规划基金项目(12YJAZH016) 湖南省教育厅优秀青年项目(11B036)
关键词 土地利用 生态风险 多尺度 调控 长株潭核心区 land use ecological risk multi-scale control Changsha-Zhuzhou-Xiangtan core area
  • 相关文献

参考文献20

  • 1陈睿山,蔡运龙.土地变化科学中的尺度问题与解决途径[J].地理研究,2010,29(7):1244-1256. 被引量:48
  • 2Harvey R O, Clark W A V. The nature and economics of urban sprawl[J]. A Quarterly Journal of Planning, Housing and Public Utilities, 1965,7(1) : 1- 10.
  • 3W.Loib, T.Toetzer. Modeling growth and densification processesin suburban regionsimulation of landscape transition with spa- tial agents[J]. Environmental Modelling & Software,2003,18(6): 553 - 563.
  • 4Castellaa J C, Kamb S P, Dang D Q, et al.Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies: Application to sustainable manage- ment of natural resources in northern Vietnam[J].Land Use Poli- cy, 2007,24(3): 531 - 545.
  • 5H.Taubenb6ck, M.Wegmann, A.Roth, et al. Urbanization in In- dia - Spatiotemporal analysis using remote sensing data[J].Com- puters, Environment and Urban Systems, 2009,33(3) : 179 - 188.
  • 6Diana M, William S, Wang X. A cellular automata model of land cover change to integrate urban growth with open space eonser- vation[J].Landscape and Urban Planning, 2011,99(2): 141 - 153.
  • 7Claessens.L, Schoorl J M, Verburg, P H, et al.Veldkamp. Model- ling interactions and feedback mechanisms between land use change and landscape processes[J]. Agriculture, Ecosystems & Environment,2009,129(1-3): 157 - 170.
  • 8Ruppert V, Ghislain G, Pascal P, et al. Detecting threatened bio- diversity by urbanization at regional and local scales using an ur- ban sprawl simulation approach:Application on the'French Medi- terranean region[J]. Landscape and Urban Planning, 2012, 104(3 -4):343 - 355.
  • 9David N.B, Jennifer O. Fletcher, K C.Public policies for manag- ing urban growth and protecting open space : policy instruments and lessons learned in the United States[J]. Landscape and Ur- ban Planning, 2004(69) :271 - 286.
  • 10郁亚娟,郭怀成.城市生态调控的智能方法[J].城市问题,2007(1):9-14. 被引量:7

二级参考文献308

共引文献622

同被引文献232

引证文献14

二级引证文献126

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