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Proposed procedure in designing and planning stratified random selection investigation of urban vegetation.

ZHAO Juan-juan1;OUYANG Zhi-yun1;ZHENG Hua1;XU Wei-hua1;WANG Xiao-ke1; NI Yong-ming2   

  1. 1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 2Beijing Museum of Natural History, Beijing 100050, China
  • Received:2008-10-07 Revised:1900-01-01 Online:2009-07-10 Published:2009-07-10

Abstract: Systematic design and planning of investigation processes is the fundamental guarantee of successful vegetation survey and scientific data analysis. Urban plants are under intense disturbance by human activities, and the resulted urban style of vegetation structure and open space composition makes the detailed planning of vegetation investigation become undoubtedly necessary. However, for such an important issue, few studies have been reported. As a most commonly used method of urban vegetation investigation, stratified random selection investigation is the topic of this paper. Based on enormous publications and practical experiences, the authors proposed the systematic processes of investigation planning, with the details and points of attention for field work of urban vegetation survey introduced. The main body of urban vegetation investigation was divided into three parts, i.e., sampling design, plots design, and field work details. Sampling design was mainly concerned with the boundary and size of research area, stratification rules, and distribution principles for sampling efforts; plot design involved the determination of sampling unit and plot size; and field work details mainly involve a list of specific items to be investigated, processes to be conducted, apparatus to be prepared, staffs to be coordinated, and other details to ensure the accuracy and precision of the data and the smooth going of the investigation.

Key words: Photosynthetic bacteria(PSB), Most probable number(MPN), Bacteria counting, Application effect