PDF Download

[1]GUO Niandong,CHEN Zhaoya,LI Hengzhe,et al.Ecological Sensitivity Research and Their Grey Forecast Based on Land Use Change in Pingshan County， Hebei Province[J].Research of Soil and Water Conservation,2016,23(05):229-234.

Copy

Ecological Sensitivity Research and Their Grey Forecast Based on Land Use Change in Pingshan County， Hebei Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 05 Page number: 229-234 Column: Public date: 2016-10-28

Title:: Ecological Sensitivity Research and Their Grey Forecast Based on Land Use Change in Pingshan County， Hebei Province

Author(s):: GUO Niandong¹, CHEN Zhaoya¹, LI Hengzhe¹, GUO Wentao², XU Hao¹; 1. College of Resources and Environment Science, Agricultural University of Hebei, Baoding, Hebei 071000, China;
2. Hebei Provincial Department of land and resources, Shijiazhuang 050000, China

Keywords:: land use change; ecological sensitivity; grey forecast; Pingshan County

CLC:: F301.2;X171

DOI:: -

Abstract:: Pingshan County, which is the important water conservation and red tourism base, is the ecological defense of Shijiazhuang area. To promote Pingshan County construction of ecological environment, by domestic and foreign research methods, based on the analysis of the Pingshan County in 1997—2013 land use change of the intensity and the value of ecosystem services, ecological sensitivity index model is introduced and the influence of land use change on the ecological sensitivity in Pingshan County during the period from 1997 to 2013 was analyzed. The results showed that the change trend of land use intensity and ecosystem service value in the period of 1997—2013 was the same, the change showed a decreasing trend and then rising, and the sensitivity of land use change to ecosystem was strong, and the index fell from 3.23 in 2001 to 1.36 in 2013, which declined by 237.5%, from the point of view of the calculation results of the township located in Pingshan County area and the population and commercial intensive township, the ecological sensitivity index is generally higher than other regions. By predicting Pingshan County land use structure in 2017, the ecosystem sensitivity index of Pingshan County will be 1.68 in 2017, and it belongs to the low ecological sensitivity, but it increases compared with 2013, so it need to be paid more attention.

References:: [1] Suffling R. Index of ecological sensitivity to disturbance, based on Ecosystem age, and related to landscape diversity[J]. Journal of Environmental Management,1980,10(3):253-263.
[2] Horne R, Hickey J. Ecological sensitivity of Australian rainforests to selective logging[J]. Australian Journal of Ecology,1991,16(1):119-129.
[3] Lozano I. Storminess and environmentally sensitive Atlantic coastal areas of the European Union[J]. Elsevier Oceanography Series,2002,43(8):781-791.
[4] 欧阳志云,王效科,苗鸿.中国生态环境敏感性及其区域差异规律研究[J].生态学报,2000,20(1):9-12.
[5] 林涓涓,潘文斌.基于GIS的流域生态敏感性评价及其区划方法研究[J].安全与环境工程,2005,12(2):23-26.
[6] 罗坤,汤小华,杨明.基于GIS的龙岩市土地利用生态敏感性评价[J].云南地理环境研究,2008,20(3):6-9.
[7] 苗正红.吉林省生态资产遥感定量评估[D].长春:东北师范大学,2010.
[8] 许吉仁,董霁红.南四湖湿地景观格局变化的生态系统服务价值响应[J].生态与农村环境学报,2013,29(4):471-477.
[9] 马新辉,任志远,孙根年.城市植被净化大气价值计量与评价:以西安市为例[J].中国生态农业学报,2004,12(2):180-182.
[10] Costanza R, d’Arge R, De Groot R, et al. The value of the world’s ecosystem services and natural capital[J]. Nature,1997,387(6230):253-260.
[11] 谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J].自然资源学报,2003,18(2):189-196.
[12] 庄大方,刘纪远.中国土地利用程度的区域分异模型研究[J].自然资源学报,1997,12(2):105-111.
[13] 黄静,崔胜辉,李方一,等.厦门市土地利用变化下的生态敏感性[J].生态学报,2011,31(24):7441-7449.
[14] 马育军,黄贤金,许妙苗,等.江苏省沿海滩涂开发的生态系统服务价值响应研究[J].中国土地科学,2006,20(4):28-34.
[15] 邓聚龙.灰色系统基本方法[M].1版.武汉:华中工学院出版社,1987.
[16] 傅立.灰色系统理论及其应用[M].北京:科学技术出版社,1992.

Similar References:

Memo

Last Update: 1900-01-01