摘要
印度野牛目前在中国仅分布于西双版纳地区 ,可以视为西双版纳热带森林系统中的代表性物种。有关印度野牛生境信息的缺乏和西双版纳热带雨林修复的要求必须进行印度野牛生境的分析。文中综合利用多元统计技术和GIS技术 ,建立逻辑斯蒂回归模型去评价所调查的印度野牛活动位置与一组生境变量之间的关系。GIS为逻辑斯蒂回归模型提供空间信息 ,并执行逻辑斯蒂模型预测印度野牛生境在该区的空间分布概率。结果表明 ,硝塘、居民点、热带雨林、亚热带季风常绿阔叶林和竹林混交林对印度野牛生境的影响在统计学意义上是显著的 ,也暗示热带林的被破坏已威胁到印度野牛的生存。
Bos gaurus readei may be regarded as a typical species of tropical forest in Xishuangbanna,China. More information about Bos gaurus readei habitat is needed for recovery of the tropical forest in the area. A logistic regression model is developed to assess the relationship between the location of Bos gaurus readei activity and a set of habitat variables using multivariate statistical techniques and GIS. GIS provides spatial information for logistic model which is used to predict the probability of the spatial distribution of Bos gaurus readei habitat in Naban River nature reserve of Xishuangbanna. The results show that the influences of saltpetre pits,residential areas,tropical forest,subtropical monsoon evergreen broadleaved forest and mix bamboo forest on Bos gaurus readei habitat are statistically significant.That also means that the damage of tropical forest has threatened Bos gaurus readei hasitat.
出处
《热带地理》
北大核心
2000年第2期152-155,共4页
Tropical Geography
基金
云南省科委资助项目! ( 98C0 13Q)
