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基于GIS的秦岭地区大熊猫栖息地质量因子研究
引用本文:李军锋,李天文,金学林,刘学军,吴琳. 基于GIS的秦岭地区大熊猫栖息地质量因子研究[J]. 地理与地理信息科学, 2005, 21(1): 38-42
作者姓名:李军锋  李天文  金学林  刘学军  吴琳
作者单位:1. 西北大学城市与资源学系,陕西,西安,710069
2. 陕西省自然保护区野生动物管理站,陕西,西安,710082
3. 南京师范大学地理科学学院江苏省重点实验室,江苏,南京,210097
基金项目:国家自然科学基金;陕西省科技攻关项目
摘    要:该文分析大熊猫栖息地环境现状,将影响大熊猫栖息地质量的因素归为4类:地形因素、植被因素、食物因素和人类活动因素。根据陕西省秦岭山区第三次大熊猫栖息地调查资料,应用GIS空间数据内插分析及统计技术,从海拔高度、坡度、坡向、森林起源、乔木郁闭度、灌木盖度、竹子盖度、竹子生长状况以及人类生产活动等方面系统分析大熊猫栖息地质量状况,绘制各自然要素的空间分布图,得出结论:现有调查区的大部分区域适宜大熊猫栖息。同时,探讨人类社会活动对大熊猫栖息地质量的影响,指出人类生产活动对大熊猫栖息地的负面影响仍在不断扩大。

关 键 词:大熊猫  空间内插  栖息地  质量因子  秦岭
文章编号:1672-0504(2005)01-0038-05
修稿时间:2004-10-08

Research on Quality Factors of Giant Panda''''s Habitat in Qinling Area Based on GIS
LI Jun-feng,LI Tian-wen,JIN Xue-lin,LIU Xue-jun,WU Lin. Research on Quality Factors of Giant Panda''''s Habitat in Qinling Area Based on GIS[J]. Geography and Geo-Information Science, 2005, 21(1): 38-42
Authors:LI Jun-feng  LI Tian-wen  JIN Xue-lin  LIU Xue-jun  WU Lin
Affiliation:LI Jun-feng~1,LI Tian-wen~1,JIN Xue-lin~2,LIU Xue-jun~3,WU Lin~1
Abstract:Habitat is the decisive factor for giant pandas' survival, and the protection of habitats is more important than each giant panda's conservation, which is the long-range measure for protection of pandas. In this paper, the influence factors of giant pandas' habitat are summarized as four types: terrain factor, plant factor, food factor and human activity, on the basis of analysing zoological status about habitat of giant panda. According to the third investigation data about panda habitat in Shanxi-Qinling area, through interpolating analysis and statistical function of GIS, the spatial distribution graph of each factor is mapped, which reflects the ecological condition of habitat directly. The results show that the majority of Qinling area is fit habitat for giant panda, and the authors also point out that with the extending of human activity range, the negative effects are increasing. The four factors which are established in the paper, and the method of spatial analysis based on GIS have important reference value for the research of protection of giant panda in other areas.
Keywords:GIS
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