Welcome to visit Scientia Silvae Sinicae，Today is

Scientia Silvae Sinicae ›› 2014, Vol. 50 ›› Issue (3): 76-82.doi: 10.11707/j.1001-7488.20140311

Previous Articles     Next Articles

Appropriate Sample Unit Size of Adaptive Clustering Sampling for Rare and Clustering Vegetation

Zhu Guangyu1, Li Xinjian2, Chen Zhenxiong2, Lü Yong1   

  1. 1. Central South University of Forestry and Technology Changsha 410004;
    2. Central South Forest Inventory and Planning Institute of State Forestry Administration Changsha 410014
  • Received:2013-05-16 Revised:2013-12-22 Online:2014-03-25 Published:2014-04-16

PDF (PC)

595

Abstract:

Sample unit size is an important effect factor for using adaptive cluster sampling,because which can affect the precision and the costs of adaptive cluster sampling.To find the appropriate sample unit size for adaptive cluster sampling,variation coefficient was first used as the criterion for evaluating efficiency of adaptive cluster sampling,simulation sampling was processed based on the rare and clustering population,which included typical shrubbery and small arbor at Ulanbuh desert edge,and the relation of variation coefficient and sample unit size had been analyzed to search for the appropriate sample unit size for adaptive cluster sampling.Several conclusion had been gained: when the sample unit size was increasing,the variation coefficient would be decreasing to a small constant with the population and equivalent sample size; the minimum appropriate sample unit size was 100 m2 for the rare and clustering shrubbery,and the appropriate sample unit size might be 100-200 m2; the minimum appropriate sample unit size was 200 m2 for the rare and clustering small arbor,and the appropriate sample unit size might be 200-300 m2.

Key words: Ulanbuh desert, rare and clustering vegetation, Hansen-Hurwitz estimator, Horvitz-Thompson estimator, variation coefficient

CLC Number: