Skip to Main Content
Required sample size for monitoring stand dynamics in strict forest reserves: a case studyAuthor(s): Diego Van Den Meersschaut; Bart De Cuyper; Kris Vandekerkhove; Noel Lust
Source: In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 185-191.
Publication Series: General Technical Report (GTR)
Station: North Central Research Station
PDF: View PDF (399.02 KB)
DescriptionStand dynamics in European strict forest reserves are commonly monitored using inventory densities of 5 to 15 percent of the total surface. The assumption that these densities guarantee a representative image of certain parameters is critically analyzed in a case study for the parameters basal area and stem number. The required sample sizes for different accuracy and probability levels are calculated. The commonly applied inventory densities prove to be insufficient for both parameters considering a generally desired accuracy level of 5 percent (p = 0.05). Results indicate the need for a new reflection on the aspect of representativeness in the framework of forest reserve monitoring.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationVan Den Meersschaut, Diego; De Cuyper, Bart; Vandekerkhove, Kris; Lust, Noel. 2000. Required sample size for monitoring stand dynamics in strict forest reserves: a case study. In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 185-191.
- Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast‑growing Eucalyptus forest plantation using airborne LiDAR data
- Ruffed grouse brood habitat use in a mixed hardwood forest: implications for forest management in the Appalachians.
- Assessing biomass and forest area classifications from modis satellite data while incrementing the number of FIA data panels
XML: View XML