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生态学杂志 ›› 2005, Vol. ›› Issue (2): 153-158.

• 研究报告 • 上一篇    下一篇

冬季白马鸡群体夜栖地特征分析

贾非, 王楠, 郑光美   

  1. 北京师范大学生命科学学院生物多样性与生态工程教育部重点实验室, 北京, 100875
  • 收稿日期:2003-10-16 修回日期:2004-02-12 出版日期:2005-02-10
  • 通讯作者: 郑光美
  • 基金资助:
    国家自然科学基金重点项目(30330050);芝加哥动物学会、芝加哥濒危物种贸易公约基金资助项目(CZS)。

Analysis of roosting site characteristics of wintering Crossoptilion crossoptlion populations

JIA Fei, WANG Nan, ZHENG Guangmei   

  1. College of Life Sciences, Key Laboratory for Biodiversity Sciences and Ecological Engineering, Ministry of Education Beijing Normal University, Beijing 100875, China
  • Received:2003-10-16 Revised:2004-02-12 Online:2005-02-10

摘要: 2003年1~4月,对分布于四川省甘孜藏族自治州稻城县著杰寺周围的白马鸡(Crossoptilon crossoptilon)群体的夜栖地特征进行了分析.随机跟踪黄昏时发现的白马鸡群体直至其上树夜栖来确定夜栖地的位置.通过系统取样的样线法调查整个研究区域环境变量的特征.共获得172个200 m×200 m的栅格,栅格中有夜栖地出现的定义为活动栅格(37个),赋值为1;反之为非活动栅格(135个),赋值为0.通过逻辑斯蒂回归建立白马鸡群体夜栖地选择的预测模型.该模型的数学表达式为Ln[P/(1-P)]=-3.938+0.083×坡度+0.037×乔木盖度+0.11×乔木高度-0.003×草本盖度(P为白马鸡群体夜栖地的出现概率).模型表明坡度、乔木盖度、乔木高度和草本盖度显著影响白马鸡群体的夜栖地选择.白马鸡群体的夜栖地选择与坡度、乔木盖度和乔木高度正相关,与草本盖度负相关.该预测模型具有较高的预测准确性.

关键词: AM真菌, 草地植物, 环境因子, 西藏高原

Abstract: From January to April 2003,we studied the roosting site characteristics of Crossoptilon crossoptilon populations around Zhujie Monastery in Daocheng Country,Sichuan Province.We randomly tracked the populations we met before dusk until they roosted in woods,by which we could decide the accurate positions of the bird's roosting sites.Line transects of systematic sampling were used to survey the fundamental characteristics of the environmental variables in the study area.We obtained 172 grids (200 m? 200 m) including 37 active grids (with roosting sites) valued 1 and 135 inactive grids (without roosting site) valued 0.We used logistic multiple regression to derive the predictive model of wintering roosting-site selection for the flocks.The predictive model could be expressed well by the following equation:Ln[P/(1-P)]=-3.938+0.083譫egree of slope+0.037譼ree cover+0.116譼ree height-0.003議erb cover (P was the probability of the occurrence of C.crossoptilon Populations roosting-site).Results showed that the variables of degree of slope,wood cover,wood height and herb cover were the most important factors affecting the occurrence of the roosting sites for the Populations.The occurrence of the roosting sites was positively related to degree of slope,wood cover and wood height,and negatively related to herb cover.The model could accurately predict the occurrence of the roosting site of C.crossoptilon Populations.

Key words: Arbuscular mycorrhizal fungi, Steppe plants, Environmental factors, Tibet Plateau

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