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鄂尔多斯高原油蒿种群分布格局对降水梯度的反应
引用本文:李秋爽,张超,王飞,来利明,张莉,李文婷,白桦,郑元润. 鄂尔多斯高原油蒿种群分布格局对降水梯度的反应[J]. 应用生态学报, 2009, 20(9): 2105-2110
作者姓名:李秋爽  张超  王飞  来利明  张莉  李文婷  白桦  郑元润
作者单位:1.中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093;2.中国科学院研究生院, 北京 100049
基金项目:国家自然科学基金,林业科技支撑计划项目
摘    要:应用方差均值比率法、聚块性指数及点格局方法,沿着鄂尔多斯高原从东至西的降水梯度(336~249 mm·a-1),设置5个采样点,对油蒿种群分布格局及其对降水梯度的反应进行了研究.结果表明:随着降水梯度的递减,在小尺度上研究区油蒿种群分布格局表现为由均匀分布向随机分布转变;在大尺度上则表现为由随机分布向聚集分布转变.降雨的减少显著改变了油蒿种群的空间分布格局,在进行生态恢复时需对植物个体进行合理配置.

关 键 词:鄂尔多斯高原  油蒿  分布格局  降水梯度  点格局  方差比率法  纳米硒    鲤鱼    抗氧化功能  组织病理  
收稿时间:2009-02-11

Responses of spatial distribution pattern of Artemisia ordosica population to the precipitation gradient on ordos Plateau
LI Qiu-shuang,ZHANG Chao,WANG Fei,LAI Li-ming,ZHANG Li,LI Wen-ting,LI BAI Hua,ZHENG Yuan-run. Responses of spatial distribution pattern of Artemisia ordosica population to the precipitation gradient on ordos Plateau[J]. The journal of applied ecology, 2009, 20(9): 2105-2110
Authors:LI Qiu-shuang  ZHANG Chao  WANG Fei  LAI Li-ming  ZHANG Li  LI Wen-ting  LI BAI Hua  ZHENG Yuan-run
Affiliation:1.State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China|;2.Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Five sites along the precipitation gradient (336-249 mm·a~(-1))from east to west in Ordos Plateau were selected to study the spatial distribution pattern of Artemisia ordosica population and its responses to the precipitation gradient by the methods of vailance megn ratio,aggregative index,and point pattern analysis.The reduction of precipitation affected the spatial distribution pattern of A.ordosica population significantly.With decreasing precipitation gradient,the spatial Pattern of A.ordosica population changed from uniform to random in small scale,and from random to clumpy in large scale,suggesting that in the ecological restoration of Ordos Plateau,a rational arrangement of A.ordosica should be made.
Keywords:Ordos Plateau  Artemisia ordosica  distribution pattern  precipitation gradient  point pattern  variance mean ratio method
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