%0 Journal Article
%T The regional ecological risk assessment of Hohhot City<br>区域生态风险评价——以呼和浩特市区为例
%A ZENG Yong State Key Laboratory of Petroleum Resource
%A Prospecting
%A Faculty of Natural Resources & Information Technology
%A China Petroleum University
%A Beijing
%A China
%A <br>曾勇
%J 生态学报
%D 2010
%I 
%X The regional ecological risk has the characters of large scale, multiple stressors and multiple types of agents and difficult being quantified, From the definition of ecological risk, the ecological risk assessment method based on the indexes of landscape fragmentation degree and land value coefficient weighted by areas proportion has been put forward in this paper. Based on software platforms of ArcGIS and FRAGSTATS, the isoline map for ecological risk can be created by using the spatial sample method and the ordinary Kriging interpolator method. The land use map of Hohhot City for year 2005 was selected as example,the scope of ecological risk are between 0.04-0.26,but spatial difference of them are obviously, which high risk region locate at northeast mountainous area and southwest corner of faming land,. The driving force of north areas comes from soil erode, underwater and forest degradation, while that of south areas are the rapid industrialization,which make the forest, grass and especially agriculture land rapidly convert to industry use land. The results show the method set up in this paper is intuitionistic and convenient. It can be used to score relatively value and rules of spatial distribution for regional ecological risk.
%K landscape fragmentation degree
%K region
%K ecological risk
%K assessment
%K Hohhot City<br>景观破碎度
%K 区域
%K 生态风险
%K 评价
%K 呼和浩特
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=FE163E5DB2274E5937319DE98913EC37&aid=4FDAE6CC5EA94B339D3FD32067790BE4&yid=140ECF96957D60B2&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=C6FC2A9EA7E6C4B9&eid=B28C697BC3A1BA62&journal_id=1000-0933&journal_name=生态学报&referenced_num=4&reference_num=32