ENBIOCAL: an application based on sampling theory to estimate the amount of biomass for bioenergy production

1 Barb Thomas, University of Alberta

2 Carlo Lupi, Natural Resources Canada

3 Guy Larocque, Natural Resources Canada

4 Annie DesRochers, Forest Research Institute - UQAT

5 Michel Labrecque, Institut de recherche en biologie végétale, Université de Montréal

6 Alex Mosseler, Natural Resources Canada

7 John Major, Natural Resources Canada

8 Jean Beaulieu, Natural Resources Canada

9 Francine Tremblay, Forest Research Institute - UQAT

10 Andrew Gordon, University of Guelph

11 Andre Vezina, Biopterre

12 Hassine Bouafif, Centre technologique des résidus industriels

13 Denis Cormier, FPInnovations

14 Derek Sidders, Natural Resources Canada

15 Richard Krygier, Natural Resources Canada

16 Naresh Thevathasan, University of Guelph

ENBIOCAL is an application based on sampling theory to estimate the biomass content for bioenergy production in short-rotation plantations of hybrid poplars and willows or abandoned forest lands. For hybrid poplars or willows, users can choose two sampling methods: simple random sampling or stratified random sampling. Allometric equations were developed for 11 hybrid poplar clones and 7 willow species to compute biomass at the plant level. Then, the application computes the number of plant measurements required (sample size) for a given precision level. Once the sample size is determined, ENBIOCAL guides the users for field measurements and provides estimates of biomass content. The application and user-guide can be downloaded from ftp.cfl.forestry.ca/publique/ENBIOCAL.