大熊猫野化培训的生境选择特性
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  • 英文篇名:Habitat Selection of Giant Pandas in Wildness Training Program
  • 作者:李忠 ; 何胜山 ; 罗永 ; 周世强 ; 孙萌萌 ; 屈元元 ; 周小平 ; 张和民
  • 英文作者:LI Zhong;HE Sheng-shan;LUO Yong;ZHOU Shi-qiang;SUN Meng-meng;QU Yuan-yuan;ZHOU Xiao-ping;ZHANG He-min;China Conservation and Research Center for the Giant Panda;
  • 关键词:大熊猫 ; 生境选择 ; 野化培训 ; 主成分分析
  • 英文关键词:Gaint panda(Ailuropoda melanoleuca);;Habitat selection;;Wildness training;;Principal component analysis
  • 中文刊名:SCLK
  • 英文刊名:Journal of Sichuan Forestry Science and Technology
  • 机构:中国大熊猫保护研究中心;
  • 出版日期:2018-12-15
  • 出版单位:四川林业科技
  • 年:2018
  • 期:v.39;No.185
  • 基金:大熊猫国合资金科研专项(项目编号WL01);; 大熊猫国际资金项目(项目编号:WL0101)
  • 语种:中文;
  • 页:SCLK201806005
  • 页数:6
  • CN:06
  • ISSN:51-1217/S
  • 分类号:26-30+45
摘要
为了了解大熊猫野化培训的生境选择特性,于2016年11—12月对位于卧龙自然保护区天台山区域的第二阶段野化培训圈进行了样方调查。结果表明:在野化培训期间,影响大熊猫生境选择的因素是食物因素、灌木因素、乔木因素及坡度因素。大熊猫多选择在密度20 Culm·m~(-2)~40 Culm·m~(-2),高度1 m~2 m,竹丛盖度大于70%的竹林中觅食。喜欢在灌丛盖度大于90%,灌木胸径小于3 cm高度不超过5m,密度小于0.1 Culm·m~(-2)的灌木层中活动。爱选择乔木郁闭度在0.5~0.7,胸径10 cm~20 cm,高度10 m~20 m,密度0.05 Culm·m~(-2)~0.1Culm·m~(-2)的乔木层。在地形上倾向于选择中下部坡位,坡度为20°~30°的平缓地带。
        In order to study the habitat of giant pandas in wildness training program,a sample survey was conducted in the second-phase wildness training pen located in Wolong Nature Reserve from November to December in 2016.The results showed that food factor,shrub factor,tree factor and slope factor would affect the habitat selection of giant pandas during wildness training.Giant pandas mostly chose to forage in bamboo forests with density of 20 Culm·m~(-2)~40 Culm·m~(-2),height of 1 m~2 m and bamboo clump coverage of more than 70%.They preferred to move in shrub layer with shrub coverage of more than90%,shrub height of less than 3 cm at breast height of less than 5 m and density of less than 0.1 Culm·m~(-2).They would select the tree layers with canopy density of 0.5~0.7,DBH 10 cm~20 cm,height1 020 m and density 0.05 Culm·m~(-2)~0.1 Culm·m~(-2).They tended to choose the middle and lower slope positions with a slope of 20° to 30°.
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