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林业科学 ›› 2010, Vol. 46 ›› Issue (6): 102-106.doi: 10.11707/j.1001-7488.20100616

• 论文 • 上一篇    下一篇

陕西黄龙山自然保护区褐马鸡冬季栖息地的选择

李宏群1,2,廉振民1,陈存根3   

  1. 1.延安大学生命科学学院 延安 716000;2.长江师范学院生命科学系 重庆 408100;3.西北农林科技大学资源与环境学院 杨凌 712100
  • 收稿日期:2009-03-28 修回日期:2009-08-04 出版日期:2010-06-25 发布日期:2010-06-25
  • 通讯作者: 廉政民

Wintering Habitat Selection by Brown-Eared Pheasant (Crossoptilon mantchuricum) in Huanglong Mountains Nature Reserve,Shaanxi Province,China

Li Hongqun1,2;Lian Zhenmin1;Chen Cungen3   

  1. 1.College of Life Science,Yanan UniversityYan'an 716000;2.Department of Life Science,Yangtze Normal UniversityChongqing;3.College of Resource and Environmental Science,Northwest A & F UniversityYangling 712100
  • Received:2009-03-28 Revised:2009-08-04 Online:2010-06-25 Published:2010-06-25

摘要:

2006年11—12月和2007年1月,在陕西黄龙山林区对褐马鸡冬季栖息地的选择进行研究。首先对整个研究区域进行系统取样并测量环境参数。有种群出现的栅格定义为探测栅格(n=53),反之为非探测栅格(n=46)。海拔、坡度、坡向的余弦、乔木盖度、灌木盖度、灌丛盖度、距离最近水源距离、距离乡间土路距离、距最近居民点距离以及距最近林边距离等在探测栅格和非探测栅格之间呈显著差异。将显著差异变量经单变量逻辑斯蒂回归进行筛选(P<0.3),再使用Spearman correlation对这些剩余差异显著变量进行相关性分析,排除了距离最近水源距离、距离乡间土路距离、距最近居民点距离3个因子,以最后剩余变量作为自变量,以褐马鸡探测栅格和非探测栅格作为因变量,采用向前筛选的逐步逻辑斯蒂回归分析,最后选择具有最小AICC 值的回归等式为最佳的回归模型,其模型为: π(x)=eg(x) /(1+eg(x) ),g(x)= 22.107-0.004×距最近林边距离+13.623×乔木盖度-0.021×海拔。模型表明,褐马鸡群体的栖息地选择与乔木盖度正相关,与距离林边最近距离和海拔负相关。该预测模型具有较高的预测准确性。

关键词: 褐马鸡, 逻辑斯蒂, 黄龙山

Abstract:

The wintering habitat selection of brown-eared pheasant(Crossoptilon mantchuricum ) was investigated from November,2006 to January 2007.Line transects of systematic sampling was used to characterize several environmental variables of the whole study area in Huanglong Mountains(109°38′—110°12′E,35°28′—36°02′N)of Shaanxi Province.The distance between any two nearest transects was 200m and grids (200 m×200 m) were obtained every 200m along transects.The grids with presence of the brown eared-pheasant were defined as detected grids (n=53),the grids with absence of the brown-eared pbeasant as undetected ones (n=46).Distance to nearest water,nearest unpaved road,nearest village and nearest edge of woods,altitude,slope degree,cosine of slope aspect,cover of trees,cover and average height of shrub all showed significant differences between detected and undetected grids.Univariate analysis of logistic regression was derived from the above variable and the variables with probability less than 0.30 were retained,then by spearman correlation we excluded the variables of distance to nearest water,nearest unpaved road and nearest village.Forward elimination stepwise logistic regression was conducted with the remained variables as independent variables.Finally,regression equation with the lowest AICC value was regarded as the optimal model.The model could be formally expressed as: π(x)=eg(x) /(1+eg(x) ),g(x)=22.107-0.004×distance to nearest edge of woods+13.623×cover of trees-0.021×altitude.The model suggested that wintering habitat selection of brown eared-pheasant was negatively related to distance to nearest edge of woods and altitude,positively related to cover of trees.The model could acurately predict the occurrence of wintering habitat of brown-eared pheasant.

Key words: Crossoptilon mantchuricum, Logistic regression, Huanglong Mountains