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Measuring Harvestable Biomass in Short-Rotation Willow Bioenergy Plantations Using Light Attenuation

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Abstract

Routine monitoring of above ground biomass within purpose-grown willow biomass energy production systems is important for timing harvest and other operations to maximize profit and increase plantation productivity. The objective of this study was to assess the efficacy of an elegant nondestructive mensurative technique for providing reliable estimates of harvestable biomass for six willow varieties during a 3-year rotation. The LAI-2000 Plant Canopy Analyser was used to measure the stem area index of growing willow and relate it to harvestable biomass at four locations within Saskatchewan, Canada over a 3-year period. Given the highly significant relationship (R 2 = 0.95; P < 0.0001) between measured stem area index and harvestable willow biomass, independent of variety, age, or location, this simple mensurative technique is a promising alternative for estimating above ground biomass in short-rotation willow plantations.

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References

  1. Abrahamson LP, Volk TA, Kopp RF, White EH, Ballard JL (2002) Willow biomass producers handbook (revised). Short-Rotation Woody Crops Program. SUNY-ESF, Syracuse

    Google Scholar 

  2. Arevalo CBM, Volk TA, Bevilacqua E, Abrahamson L (2007) Development and validation of aboveground biomass estimations for four Salix clones in central New York. Biomass Bioenergy 31:1–12

    Article  Google Scholar 

  3. Comeau P, Gendron F, Letchford T (1998) A comparison of several methods for estimating light under a paper birch mixedwood stand. Can J Forest Res 28:1843–1850

    Article  Google Scholar 

  4. Dobermann A, Pampolino MF, Neue HU (1995) Spatial and temporal variability of transplanted rice at the field scale. Agron J 87:712–720

    Article  Google Scholar 

  5. Engelbrecht BMJ, Herz HM (2001) Evaluation of different methods to estimate understorey light conditions in tropical forests. J Trop Ecol 17:207–224

    Article  Google Scholar 

  6. Ens JA, Farrell RE, Bélanger N (2009) Rapid biomass estimation using optical stem density of willow (Salix spp.) grown in short rotation. Biomass Bioenergy 33:174–179

    Article  Google Scholar 

  7. Gower ST, Norman JM (1991) Rapid estimation of leaf area index in conifer and broad leaf plantations. Ecology 72:1896–1900

    Article  Google Scholar 

  8. Hangs RD, Van Rees KCJ, Schoenau JJ, Guo X (2011) A simple technique for estimating above-ground biomass in short-rotation willow plantations. Biomass Bioenergy 35:2156–2162

    Article  Google Scholar 

  9. He Y, Guo X, Wilmshurst JF (2007) Comparison of different methods for measuring leaf area index in a mixed grassland. Can J Plant Sci 87:803–813

    Article  Google Scholar 

  10. Heinsoo K, Sild E, Koppel A (2002) Estimation of shoot biomass productivity in Estonian Salix plantations. For Ecol Manag 170:67–74

    Article  Google Scholar 

  11. Hicks S, Lascano R (2000) Estimation of leaf area Index for cotton canopies using the Li-Cor LAI 2000 plant canopy analyser. Agron J 87:458–464

    Article  Google Scholar 

  12. Jonckheere IFS, Nackaerts K, Muys B, Coppin P, Weiss M, Baret F (2004) Review of methods for in situ leaf area index determination. Part I. Theories, sensors and hemispherical photography. Agric For Meteorol 121:19–35

    Article  Google Scholar 

  13. Johnson LF, Pierce LL (2004) Indirect measurement of leaf area index in California north coast vineyards. Hortic Sci 39:236–238

    Google Scholar 

  14. Keoleian G, Volk T (2005) Renewable energy from willow biomass crops: life cycle energy, environmental and economic performance. Crit Rev Plant Sci 24:385–406

    Article  Google Scholar 

  15. LI-COR (1992) Plant canopy analyser operating manual. Li-Cor Inc., Lincoln

    Google Scholar 

  16. Littell RC, Milliken GA, Stroup WW, Wolfinger RD (2006) SAS system for mixed models, 2nd edn. SAS Institute, Cary, p 813

    Google Scholar 

  17. Mitchell CP, Stevens EA, Watters MP (1999) Short-rotation forestry-operations, productivity and costs based on experience gained in the UK. For Ecol Manag 121:123–136

    Article  Google Scholar 

  18. Rudorff BFT, Mulchi CL, Daughtry CST, Lee EH (1996) Growth, radiation use efficiency, and canopy reflectance of wheat and corn grown under elevated ozone and carbon dioxide atmospheres. Remote Sens Environ 55:163–173

    Article  Google Scholar 

  19. Saskatchewan Centre for Soil Research (SCSR) (1976) The soils of the provincial forest in the Prince Albert map area, number 73H. Soil Survey Staff. University of Saskatchewan, Saskatoon

    Google Scholar 

  20. SCSR (1978) The soils of the Saskatoon map area, number 73B. Soil Survey Staff. University of Saskatchewan, Saskatoon

    Google Scholar 

  21. SCSR (1989) The soils of the rural municipality of Birch Hills, number 460. Soil Survey Staff. University of Saskatchewan, Saskatoon

    Google Scholar 

  22. SCSR (1997) The soils of the Weyburn-Virden Map areas, numbers 62E and 62F. Soil Survey Staff. University of Saskatchewan, Saskatoon

    Google Scholar 

  23. Saxton AM (1998) A macro for converting mean separation output to letter groupings in Proc Mixed. In: Proc. 23rd SAS Users Group Intl. SAS Institute, Cary. pp 1243–1246

  24. Schroeder W, Kort J, Savoie P, Preto F (2009) Biomass harvest from natural willow rings around prairie wetlands. BioEnergy Res 2:99–105

    Article  Google Scholar 

  25. Sennerby-Forsse L (1985) Clonal variation of wood specific gravity, moisture content, and stem bark percentage in 1-year-old shoots of 20 fast-growing Salix clones. Can J Forest Res 15:531–534

    Article  Google Scholar 

  26. Sonnentag O, Talbot J, Chen JM, Roulet NT (2007) Using direct and indirect measurements of leaf area index to characterize the shrub canopy in an ombrotrophic peatland. Agric For Meteorol 144:200–212

    Article  Google Scholar 

  27. Telenius B, Verwijst T (1995) The influence of allometric variation, vertical biomass distribution and sampling procedure on biomass estimates in commercial short-rotation forests. Bioresour Technol 51:247–253

    Article  Google Scholar 

  28. Ter-Mikaelian MT, Parker WC (2000) Estimating biomass of white spruce seedlings with vertical photo imagery. New For 20:145–162

    Article  Google Scholar 

  29. Ter-Mikaelian MT, Parker WC, Paterson JM (1997) Photo imagery: a non-destructive method for estimating tree biomass. Ontario Ministry of Natural Resources, Ontario Forest Research Institute, Forest Research Report 144, Sault Ste. Marie. pp 10

  30. Tharakan PJ, Volk TA, Nowak CA, Abrahamson LP (2005) Morphological traits of 30 willow clones and their relationship to biomass production. Can J Forest Res 35:421–431

    Article  Google Scholar 

  31. Tharakan PJ, Volk TA, Nowak CA, Ofezu GJ (2008) Assessment of canopy structure, light interception, and light-use efficiency of first year regrowth of shrub willow (Salix sp.). BioEnergy Res 1:229–238

    Article  Google Scholar 

  32. Thevathasan NV, Reynolds PE, Kuessner R, Bell WF (2000) Effects of controlled weed densities and soil types on soil nitrate accumulation, spruce growth, and weed growth. For Ecol Manag 133:135–144

    Article  Google Scholar 

  33. Welles JM, Norman JM (1991) Instrument for indirect measurement of canopy architecture. Agron J 83:818–825

    Article  Google Scholar 

  34. Yuen GY, Jochum CC, Giesler LJ, Shulski MD, Walter-Shea EA, Hubbard KG et al (2002) UV-B biodosimetry in turfgrass canopies. Crop Sci 42:859–868

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the Saskatchewan Ministry of Agriculture and NSERC Strategic Grants Program for funding; B. Brewster (Grandfather), G. Harrison (Pacific Regeneration Technologies), and S. Heidinger (SaskPower, Shand Greenhouse) for providing the study locations; T. Volk (SUNY-ESF) for the plant material; X. Guo (Department of Geography and Planning, University of Saskatchewan) and P. Comeau (Department of Renewable Resources, University of Alberta) for the use of their LAI-2000 units; T. Demetriades-Shah (LI-COR Inc.) and S. Walsh (SAS Institute Inc.) for their technical assistance; B. Amichev, D. Greenough, L., R., and R. Hangs, J. Hyszka, D. Jackson, T. King, S. Konecsni, and C. Stadnyk for their logistical support; and two anonymous reviewers for their critical comments and suggestions that improved the manuscript.

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Hangs, R.D., Stevenson, F.C., Schoenau, J.J. et al. Measuring Harvestable Biomass in Short-Rotation Willow Bioenergy Plantations Using Light Attenuation. Bioenerg. Res. 6, 83–90 (2013). https://doi.org/10.1007/s12155-012-9238-7

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  • DOI: https://doi.org/10.1007/s12155-012-9238-7

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