Full text of this article is only available in PDF format.

Mervi Talvitie (email), Olli Leino, Markus Holopainen

Inventory of sparse forest populations using adaptive cluster sampling

Talvitie M., Leino O., Holopainen M. (2006). Inventory of sparse forest populations using adaptive cluster sampling. Silva Fennica vol. 40 no. 1 article id 354. https://doi.org/10.14214/sf.354

Abstract

In many studies, adaptive cluster sampling (ACS) proved to be a powerful tool for assessing rare clustered populations that are difficult to estimate by means of conventional sampling methods. During 2002 and 2003, severe drought-caused damage was observed in the park forests of the City of Helsinki, Finland, especially in barren site pine and spruce stands. The aim of the present study was to examine sampling and measurement methods for assessing drought damage by analysing the effectiveness of ACS compared with simple random sampling (SRS). Horvitz-Thompson and Hansen-Hurwitz estimators of the ACS method were used for estimating the population mean and variance of the variable of interest. ACS was considerably more effective than SRS in assessing rare clustered populations such as those resulting from drought damage. The variances in the ACS methods were significantly smaller and the inventory efficiency in the field better than in SRS.

Keywords
coarse woody debris; adaptive cluster sampling; simple random sampling; drought damage; efficiency

Author Info
  • Talvitie, University of Helsinki, Department of Forest Resource Management, P.O. Box 27, FI-00014 University of Helsinki, Finland E-mail mervi.talvitie@helsinki.fi (email)
  • Leino, University of Helsinki, Department of Forest Resource Management, P.O. Box 27, FI-00014 University of Helsinki, Finland E-mail ol@nn.fi
  • Holopainen, University of Helsinki, Department of Forest Resource Management, P.O. Box 27, FI-00014 University of Helsinki, Finland E-mail ah@nn.fi

Received 1 February 2005 Accepted 17 November 2005 Published 31 December 2006

Views 4926

Available at https://doi.org/10.14214/sf.354 | Download PDF

Creative Commons License CC BY-SA 4.0

Register
Click this link to register to Silva Fennica.
Log in
If you are a registered user, log in to save your selected articles for later access.
Contents alert
Sign up to receive alerts of new content

Your selected articles
Send to email
Lideskog H., Ersson B. T. et al. (2014) Determining boreal clearcut object properties an.. Silva Fennica vol. 48 no. 3 article id 1136 (remove) | Edit comment
Aaltonen V. T., (1920) The distribution and abundance of the tree roots.. Acta Forestalia Fennica vol. 14 no. 1 article id 7034 (remove) | Edit comment
Linnamies O., (1969) Development of forest research outside the state.. Silva Fennica vol. 3 no. 2 article id 4794 (remove) | Edit comment
Häggman H., (1991) Application of biotechnology to forest tree bree.. Silva Fennica vol. 25 no. 4 article id 5466 (remove) | Edit comment
Tanttu A., (1915) Studies on forest growth of drained peatlands Acta Forestalia Fennica vol. 5 no. 2 article id 7011 (remove) | Edit comment
Kujala V., (1921) Observations of forest and peatland site types i.. Acta Forestalia Fennica vol. 18 no. 5 article id 7057 (remove) | Edit comment
Brooks D. J., (1986) Evaluating the regional and distributional impac.. Silva Fennica vol. 20 no. 4 article id 5291 (remove) | Edit comment
Holopainen V., (1960) Central marketing of cellulose, with particular .. Acta Forestalia Fennica vol. 73 no. 2 article id 7124 (remove) | Edit comment
Metsätalouden suunnittelukomitea ., (1961) Report of the forest planning committee Silva Fennica vol. 0 no. 110 article id 4697 (remove) | Edit comment
Zhu C., Zhu J. et al. (2017) Comparison of gap formation and distribution pat.. Silva Fennica vol. 51 no. 5 article id 7693 (remove) | Edit comment
Talvitie M., Leino O. et al. (2006) Inventory of sparse forest populations using ada.. Silva Fennica vol. 40 no. 1 article id 354 (remove) | Edit comment
Your search results