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Wildlife Crossing Zones along the Ring Changbai Mountain Scenic Highway, China
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作者 Yun Wang Zhengji Piao +5 位作者 Lei Guan Haifeng Li Qilin Li Yayi Lu Lei Gao Jiding Chen 《Journal of Life Sciences》 2012年第12期1420-1427,共8页
The 84-km long Changbai Mountain scenic Ring highway encircles and bisects the nature reserve. With the expected increasing traffic flow, increased wildlife vehicle collisions and barrier effects are likely. In order ... The 84-km long Changbai Mountain scenic Ring highway encircles and bisects the nature reserve. With the expected increasing traffic flow, increased wildlife vehicle collisions and barrier effects are likely. In order to identify wildlife crossing zones and future protective measurement, the authors carried out 10 wildlife highway crossing surveys during the winter in 2008-2009. For each 5-kin section, the authors recorded highway crossings of all small/mid-sized and large mammals and one large protected bird species, the hazel grouse (Bonasa bonasia) and noted snow depth and the dominant vegetation type. The authors detected 12 mammal species and one avifauna species crossing the highway 502 times. The smallest of mammal was the Eurasian red squirrel (Sciurus vulgaris). Large mammals detected included the wild boar (Sus scrofe) (64) and brown bear (Ursus arctos) (1). The average number of wildlife crossings per 5 km was 29.5. It was found that species richness and crossing frequency was higher in sections with broad leaf forest compared to sections with white birch secondary forest significantly. The authors suggested that disturbance of broad leaf forest be minimized during construction and strict protection be established for broad leaf forests around Changbai Mountain National Nature Reserve. 展开更多
关键词 highway WILDLIFE crossing zones road ecology Changbai Mountain natural Reserve China.
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中国公路自然区划空间数据库的设计 被引量:13
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作者 许金良 李超 杨宏志 《交通运输工程学报》 EI CSCD 北大核心 2008年第1期47-53,共7页
为了实现中国公路自然区划的定量化与自动化,从概念、逻辑和物理层面进行了中国公路自然区划空间数据库结构设计,利用空间数据引擎技术,借助大型关系型数据库管理系统对数据存储与管理功能建立了空间数据库,基于此数据库,利用多因子权... 为了实现中国公路自然区划的定量化与自动化,从概念、逻辑和物理层面进行了中国公路自然区划空间数据库结构设计,利用空间数据引擎技术,借助大型关系型数据库管理系统对数据存储与管理功能建立了空间数据库,基于此数据库,利用多因子权重法计算了公路工程困难程度指数。分析结果表明:海拔高程、地形坡度、地表切割深度、地表切割密度、硬岩覆盖度以及植被覆盖度是影响公路工程困难程度指数分布的主要因素,根据困难度指数分布图,从地貌角度直观地反映了中国不同地区公路建设的困难程度。可见此数据库系统的建立实现了公路自然区划的量化分析模式,解决了海量空间数据的存储与管理问题。 展开更多
关键词 公路工程 公路自然区划 数据库 空间数据引擎 困难度指数
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