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西藏高原金露梅灌丛草甸物种丰富度和生物量取样方法探讨

孟凡栋1,3,王常顺1,朱小雪2,3,崔树娟1,3,王奇1,3,周阳1,3,汪诗平1,4*#br#   

  1. 1中国科学院青藏高原研究所高寒生态学与生物多样性重点实验室, 北京 100101; 2中国科学院西北高原生物研究所高原生物适应与进化重点实验室, 西宁 810008; 3中国科学院大学, 北京 100049; 4中国科学院青藏高原地球科学卓越创新中心, 北京 100101)
  • 出版日期:2016-12-10 发布日期:2016-12-10

Sampling methods about species richness and aboveground biomass of Potentilla fruticosa shrub meadow on Tibetan Plateau.

MENG Fan-dong1,3, WANG Chang-shun1, ZHU Xiao-xue2,3, CUI Shu-juan1,3, WANG Qi1,3, ZHOU Yang1,3, WANG Shi-ping1,4*#br#   

  1. (1Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China; 2 Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China; 3University of Chinese Academy of Sciences, Beijing 100049, China; 4 Center for Excellence in Tibetan Plateau Earth Science of the Chinese Academy of Sciences, Beijing 100101, China).
  • Online:2016-12-10 Published:2016-12-10

摘要: 高寒灌丛草甸地上生物量以及物种丰富度监测方法的研究,是了解高寒灌丛草甸生态系统结构和功能对气候变化以及人类活动干扰响应与适应的前提。本文采用标准木法、样方法、样线法和巢式样方法分别对高寒灌丛草甸的灌丛及丛间草甸的地上生物量和物种丰富度监测进行了比较。结果表明,金露梅(Potentilla fruticosa)灌丛间高寒草甸的最小取样面积为1 m2,最少取样样方数应不少于10个。建议:如果同时监测地上生物量和物种丰富度则可采用12个1 m2样方。为了提高工作效率和减少对金露梅灌丛的破坏,本研究采用标准木法对金露梅灌丛地上生物量进行监测,随机测量17株灌丛的冠幅和高度作为灌丛生物量模型的自变量,然后通过模型y=740.46x1.08R2=0.89,P<0.001,y为地上生物量,x为冠幅和高度之积)来计算灌丛的生物量,结果表明该方法可以较好地预测该灌丛地上生物量,也能够提高野外调查的效率。

Abstract: Studying methods for monitoring the aboveground biomass and species richness is critical to understand the response of the structure and function of alpine shrub ecosystems to climate change and human activities. Four monitoring methods, i.e. standard tree, quadrat, line transect and nested quadrat methods, were chosen to compare the changes of aboveground biomass and species richness of the Potentilla fruticosa shrub meadow. Our results showed that the minimum sampling area of P. fruticosa shrub meadow was 1 m2, and the least number of quadrats should be 10. Generally, 12 quadrats of 1 m2 were needed when both of species richness and aboveground biomass of the shrub meadow were monitored simultaneously. In order to improve work efficiency and reduce the destruction of vegetation, we measured the canopy and height of 17 plants randomly and established a predictive regression model (y=740.46x1.08, R2=0.89, P<0.001, y indicates aboveground biomass, x indicates product of canopy diameter and height) based on biomass and the product of its canopy diameter and height as independent variables. The model could predict the shrub aboveground biomass precisely and improve the efficiency of field investigations.