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

Timo Tahvanainen (email), Kalle Kaartinen, Timo Pukkala, Matti Maltamo

Comparison of approaches to integrate energy wood estimation into the Finnish compartment inventory system

Tahvanainen T., Kaartinen K., Pukkala T., Maltamo M. (2007). Comparison of approaches to integrate energy wood estimation into the Finnish compartment inventory system. Silva Fennica vol. 41 no. 1 article id 310. https://doi.org/10.14214/sf.310

Abstract

The harvesting of energy wood from young stands is increasing as the demand for renewable wood fuel is growing. Energy wood consists of stems, tree tops, branches and needles, depending on the size of the trees and the logging method used. The current forest inventory and planning systems used in private forests in Finland do not produce estimates of energy wood components. In stands typical for energy wood harvesting, a large share of energy wood consists of trees smaller than the minimum size for pulpwood. In this study, energy wood was included into the calculation system of compartment inventory, and a procedure for simulating the thinning treatments in young stands was developed. The results for six inventory alternatives and prediction of energy wood were compared with the use of inventory material from 37 young stands that have plenty of energy wood. The measurement of additional stand characteristics and the use of a calibration estimation method was tested, as well as the use of plot-level inventory data instead of stand level data. The results showed that the measurement of the number of trees per hectare, in addition to stand basal area and mean diameter, improved the energy wood estimates. The additional minimum and maximum diameters improved the precision of the estimates, but did not affect bias. The removal estimates were more precise when plot-level data was used, rather than stand-level data. The removal estimates were higher with plot-level data. The results suggest that, in heterogeneous young stands, plot by plot prediction would give more accurate removal estimates than the calculation of a corresponding prediction at the stand-level.

Keywords
diameter distribution; thinnings; calibration estimation; compartment inventory

Author Info
  • Tahvanainen, Finnish Forest Research Institute, P.O. Box 68, FI-80101 Joensuu, Finland E-mail timo.tahvanainen@metla.fi (email)
  • Kaartinen, University of Joensuu, Faculty of Forestry, P.O. Box 111, FI-80101 Joensuun yliopisto, Finland E-mail kk@nn.fi
  • Pukkala, University of Joensuu, Faculty of Forestry, P.O. Box 111, FI-80101 Joensuun yliopisto, Finland E-mail tp@nn.fi
  • Maltamo, University of Joensuu, Faculty of Forestry, P.O. Box 111, FI-80101 Joensuun yliopisto, Finland E-mail mm@nn.fi

Received 29 March 2006 Accepted 22 December 2006 Published 31 December 2007

Views 2331

Available at https://doi.org/10.14214/sf.310 | 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
Your search results
Maltamo M., (1997) Comparing basal area diameter distributions esti.. Silva Fennica vol. 31 no. 1 article id 5609
Uuttera J., Maltamo M. (1995) Impact of regeneration method on stand structure.. Silva Fennica vol. 29 no. 4 article id 5562
Korhonen K. T., Maltamo M. (1991) The evaluation of forest inventory designs using.. Silva Fennica vol. 25 no. 2 article id 5444
Kilkki P., Maltamo M. et al. (1989) Use of the Weibull function in estimating the ba.. Silva Fennica vol. 23 no. 4 article id 5392
Maltamo M., (2023) What does it actually mean to measure a sample p.. Silva Fennica vol. 56 no. 4 article id 23005
Maltamo M., (2022) Silva Fennica has improved publishing services b.. Silva Fennica vol. 56 no. 2 article id 10763
Maltamo M., (2022) The persistently developing role of remote sensi.. Silva Fennica vol. 56 no. 1 article id 10711
Maltamo M., (2021) 100 years of national forest inventories Silva Fennica vol. 55 no. 4 article id 10643
Maltamo M., (2020) Re-searching the forests Silva Fennica vol. 54 no. 4 article id 10452
Maltamo M., (2020) Change of the Subject Editor in Silva Fennica Silva Fennica vol. 54 no. 1 article id 10333
Maltamo M., (2019) Silva Fennica in 2019 Silva Fennica vol. 53 no. 1 article id 10164
Hardenbol A. A., Kuzmin A. et al. (2021) Detection of aspen in conifer-dominated boreal f.. Silva Fennica vol. 55 no. 4 article id 10515
Kukkonen M., Kotivuori E. et al. (2021) Volumes by tree species can be predicted using p.. Silva Fennica vol. 55 no. 1 article id 10360
Karjalainen T., Packalen P. et al. (2019) Predicting factual sawlog volumes in Scots pine .. Silva Fennica vol. 53 no. 4 article id 10183
Korhonen L., Repola J. et al. (2019) Transferability and calibration of airborne lase.. Silva Fennica vol. 53 no. 3 article id 10179
Maltamo M., Hauglin M. et al. (2019) Estimating stand level stem diameter distributio.. Silva Fennica vol. 53 no. 3 article id 10075
Maltamo M., Karjalainen T. et al. (2018) Incorporating tree- and stand-level information .. Silva Fennica vol. 52 no. 3 article id 10006
Korhonen L., Pippuri I. et al. (2013) Detection of the need for seedling stand tending.. Silva Fennica vol. 47 no. 2 article id 952
Villikka M., Packalén P. et al. (2012) The suitability of leaf-off airborne laser scann.. Silva Fennica vol. 46 no. 1 article id 68
Korpela I., Ørka H. O. et al. (2010) Tree species classification using airborne LiDAR.. Silva Fennica vol. 44 no. 2 article id 156
Suvanto A., Maltamo M. (2010) Using mixed estimation for combining airborne la.. Silva Fennica vol. 44 no. 1 article id 164
Maltamo M., Peuhkurinen J. et al. (2009) Predicting tree attributes and quality character.. Silva Fennica vol. 43 no. 3 article id 203
Peuhkurinen J., Maltamo M. et al. (2008) Estimating species-specific diameter distributio.. Silva Fennica vol. 42 no. 4 article id 237
Korhonen L., Korhonen K. T. et al. (2007) Local models for forest canopy cover with beta r.. Silva Fennica vol. 41 no. 4 article id 275
Kangas A., Mehtätalo L. et al. (2007) Modelling percentile based basal area weighted d.. Silva Fennica vol. 41 no. 3 article id 282
Mehtätalo L., Maltamo M. et al. (2006) The use of quantile trees in the prediction of t.. Silva Fennica vol. 40 no. 3 article id 333
Hotanen J.-P., Maltamo M. et al. (2006) Canopy stratification in peatland forests in Fin.. Silva Fennica vol. 40 no. 1 article id 352
Kangas A., Maltamo M. (2002) Anticipating the variance of predicted stand vol.. Silva Fennica vol. 36 no. 4 article id 522
Sironen S., Kangas A. et al. (2001) Estimating individual tree growth with the k-nea.. Silva Fennica vol. 35 no. 4 article id 580
Maltamo M., Eerikäinen K. (2001) The Most Similar Neighbour reference in the yiel.. Silva Fennica vol. 35 no. 4 article id 579
Kangas A., Maltamo M. (2000) Performance of percentile based diameter distrib.. Silva Fennica vol. 34 no. 4 article id 620
Kangas A., Maltamo M. (2000) Percentile based basal area diameter distributio.. Silva Fennica vol. 34 no. 4 article id 619
Tahvanainen T., Kaartinen K. et al. (2007) Comparison of approaches to integrate energy woo.. Silva Fennica vol. 41 no. 1 article id 310