A simple technique for estimating above-ground biomass in short-rotation willow plantations

Biomass and Bioenergy

Volumn 35, Issue 5, 2011, Pages 2156-2162

  Hangs, R D ^a   Van Rees, K C J ^a   Schoenau, J J ^a   Guo, X ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Allometry; Bioenergy crop; LAI 2000; Mensuration; Stem area index; Willow

Indexed keywords

ALLOMETRY; BIO-ENERGY; LAI-2000; MENSURATION; STEM AREA INDEX; WILLOW;

BIOFUELS; BIOMASS; CROPS; ESTIMATION; HARVESTING; PROFITABILITY; ROTATION;

ECOLOGY;

ABOVEGROUND BIOMASS; AGRICULTURAL MANAGEMENT; ALLOMETRY; BIOENERGY; CROP PRODUCTION; CROP ROTATION; DECIDUOUS TREE; HARVESTING; PHYTOMASS; PLANTATION; STEM;

SALIX;

EID: 79953271436     PISSN: 09619534     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biombioe.2011.02.008     Document Type: Article

References (36)

1. Mitchell C.P., Stevens E.A., Watters M.P. Short-rotation forestry: operations, productivity and costs based on experience gained in the UK. For Ecol Manage 1999, 121:123-136.
2. Keoleian G.A., Volk T.A. Renewable energy from willow biomass crops: life cycle energy, environmental and economic performance. Crit Rev Plant Sci 2005, 24:385-406.
3. Tharakan P.J., Volk T.A., Lindsey C.A., Abrahamson L.P., White E.H. Evaluating the impact of three incentive programs on the economics of cofiring willow biomass with coal in New York State. Energ Policy 2005, 33:337-347.
4. Nordh N.E., Verwijst T. Above-ground biomass assessments and first cutting cycle production in willow (Salix spp.) coppice - a comparison between destructive and non-destructive methods. Biomass Bioenerg 2004, 27:1-8.
5. Arevalo C.B.M., Volk T.A., Bevilacqua E., Abrahamson L. Development and validation of aboveground biomass estimations for four Salix clones in central New York. Biomass Bioenerg 2007, 31:1-12.
6. Næsset E. Estimating timber volume of forest stands using airborne laser scanner data. Remote Sens Environ 1997, 61:246-253.
7. Hopkinson C., Chasmer L., Young-Pow C., Treitz P. Assessing plot level metrics with a ground-based scanning LiDAR. Can J For Res 2004, 34:573-583.
8. Imhoff M.L., Carson S., Johnson P. A low-frequency radar experiment for measuring vegetation biomass. Geosci Remote Sens 1998, 36:1988-1991.
9. Axelsson S.R.J., Eriksson M., Halldin S. Tree-heights derived from radar profiles over boreal forests. Agr For Meteor 1999, 98-99:427-435.
10. McKerrow P.J., Harper N.L. Recognising leafy plants with in-air sonar. Sens Rev 1999, 19:202-206.
11. Casanova D., Epema G.F., Goudriaan J. Monitoring rice reflectance at field level for estimating biomass and LAI. Field Crop Res 1998, 55:83-92.
12. Yang C.M., Lee Y.-J., Hong K.-Y., Hsu F.-H. Estimation of forage production of nilegrass using vegetation reflectance. Crop Sci 2007, 47:1647-1651.
13. Welles J.M., Norman J.M. Instrument for indirect measurement of canopy architecture. Agron J 1991, 83:818-825.
14. LI-COR Plant canopy analyser operating manual 1992, Li-Cor Inc., Lincoln, NE, USA.
15. Tharakan P.J., Volk T.A., Nowak C.A., Ofezu G.J. Assessment of canopy structure, light interception, and light-use efficiency of first year regrowth of shrub willow (Salix sp.). Bioenerg Res 2008, 1:229-238.
16. He Y., Guo X., Wilmshurst J.F. Comparison of different methods for measuring leaf area index in a mixed grassland. Can J Plant Sci 2007, 87:803-813.
17. Sonnentag O., Talbot J., Chen J.M., Roulet N.T. Using direct and indirect measurements of leaf area index to characterize the shrub canopy in an ombrotrophic peatland. Agric For Meteorol 2007, 144:200-212.
18. Gower S.T., Norman J.M. Rapid estimation of leaf area index in conifer and broad leaf plantations. Ecology 1991, 72:1896-1900.
19. Comeau P., Gendron F., Letchford T. A comparison of several methods for estimating light under a paper birch mixedwood stand. Can J for Res 1998, 28:1843-1850.
20. Dobermann A., Pampolino M.F., Neue H.U. Spatial and temporal variability of transplanted rice at the field scale. Agron J 1995, 87:712-720.
21. Hicks S., Lascano R. Estimation of leaf area index for cotton canopies using the Li-Cor LAI 2000 plant canopy analyser. Agron J 1995, 87:458-464.
22. Rudorff B.F.T., Mulchi C.L., Daughtry C.S.T., Lee E.H. Growth, radiation use efficiency, and canopy reflectance of wheat and corn grown under elevated ozone and carbon dioxide atmospheres. Remote Sens Environ 1996, 55:163-173.
23. Johnson L.F., Pierce L.L. Indirect measurement of leaf area index in California north coast vineyards. Hort Sci 2004, 39:236-238.
24. Yuen G.Y., Jochum C.C., Giesler L.J., Shulski M.D., Walter-Shea E.A., Hubbard K.G., et al. UV-B biodosimetry in turfgrass canopies. Crop Sci 2002, 42:859-868.
25. Thevathasan N.V., Reynolds P.E., Kuessner R., Bell W.F. Effects of controlled weed densities and soil types on soil nitrate accumulation, spruce growth, and weed growth. For Ecol Manage 2000, 133:135-144.
26. Leblanc S.G., Chen J.M., Fernandes R., Deering D.W., Conley A. Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agric For Meteorol 2005, 129:187-207.
27. Jonckheere I., Fleck S., Nackaerts K., Muys B., Coppin P., Weiss M., et al. Review of methods for in-situ leaf area index determination: part I. Theories, sensors and hemispherical photography. Agric For Meteorol 2004, 121:19-35.
28. Weiss M., Baret F., Smith G.J., Jonckheere I., Coppin P. Review of methods for in situ leaf area index (LAI) determination: part II. Estimation of LAI, errors and sampling. Agric For Meteorol 2004, 121:37-53.
29. Volk T.A., Abrahamson L.P., Nowak C.A., Smart L.B., Tharakan P.J., White E.H. The development of short-rotation willow in the northeastern United States for bioenergy and bioproducts, agroforestry and phytoremediation. Biomass Bioenerg 2006, 30:715-727.
30. The soils of the Saskatoon map area, Number 73B 1978, Saskatchewan Centre for Soil Research, SCSR-Soil Survey Staff, University of Saskatchewan, Saskatoon, SK.
31. Welles J.M., Cohen S. Canopy structure measurement by gap fraction analysis using commercial instrumentation. J Exp Bot 1996, 47:1335-1342.
32. Ens J.A., Farrell R.E., Bélanger N. Rapid biomass estimation using optical stem density of willow (Salix spp.) grown in short rotation. Biomass Bioenerg 2009, 33:174-179.
33. Hytönen J., Kaunisto S. Effect of fertilization on the biomass production of coppiced mixed birch and willow stands on a cut-away peatland. Biomass Bioenerg 1999, 17:455-469.
34. Bond-Lamberty B., Wang C., Gower S.T. Aboveground and belowground biomass and sapwood area allometric equations for six boreal tree species of northern Manitoba. Can J For Res 2002, 32:1441-1450.
35. Ter-Mikaelian M.T., Korzukhin M.D. Biomass equations for sixty-five North American tree species. For Ecol Manag 1997, 97:1-24.
36. Lambert M.C., Ung C.H., Raulier F. Canadian national tree aboveground biomass equations. Can J For Res 2005, 35:1996-2018.