Skip to main content

Sampling the Density of Tree Species with Quadrats in a Species-Rich Tropical Forest

Buy Article:

$29.50 plus tax (Refund Policy)


The statistical efficiencies of three quadrat sizes (10 X 20 m, 10 X 40 m, and 20 X 40 m) were evaluated in the species-rich tropical forest on Barro Colorado Island, Panama Canal Zone. The 10 X 20-m quadrat required the lowest percent sample to adequately estimate the density for the majority of species tested. The fewer the number of individuals and the greater the degree of aggregation, the larger the required sample for density estimation. A 45 to 50 percent sample was needed to estimate the density of the more common species with 80 percent confidence and 20 percent error. Some implications of the results for phytosociological analyses of species-rich forest are discussed. Forest Sci. 17:395-400.

Document Type: Journal Article

Affiliations: Assoc. Professor, Dep of Statistics, University of Wyoming

Publication date: September 1, 1971

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more