BiomassBiblio.doc
© 2014, Timothy G. Gregoire, Yale University
Last revised: May 2014
BIOMASS BIBLIOGRAPHY
1944-Present
(411 ENTRIES)
1. Kittredge, J. (1944) “Estimation of the amount of foliage of trees and stands.” Journal of
Forestry 42:905-912.
2. Husch, B. (1962) Tree weight relationships for white pine in southeastern New
Hampshire. New Hampshire Agricultural Experiment Station, Technical Bulletin 106.
3. Young, H. E., Strand, L., and Altenberger, R. (1964) Preliminary fresh and dry weight
tables for seven tree species in Maine. Maine Agricultural Experiment Station, Technical
Bulletin 12.
4. Wit, C.T. and Bergh, P.V.D. (1965) “Competition between herbage plants”. Netherlands
Journal of Agricultural Science 13: 212 – 221.
5. Young, H. E., Carpenter, P. N., and Altenberger, R. (1965) Preliminary tables of some
chemical elements in seven tree species in Maine. Maine Agricultural Experiment
Station, Technical Bulletin 20.
6. Baskerville, G. L. (1967). “Estimation of dry weight of tree components and total
standing crop in conifer stands.” Ecology 46(6): 867-869.
7. Ovington, J. D., Forrest, W. G. and Armstrong, J. S. (1967). Tree Biomass estimation.
Symposium on Primary productivity and mineral cycling in natural ecosystems.
Ecological Society of America. 31pp.
8. Ovington, J. (1967) “The form, weights and productivity of tree species grown in close
stands.” The Nature Conservancy, Merlewood Research Station, Grange-over-Sands 289304pp.
9. Kozak, A. (1970) “Methods for ensuring additivity of biomass components by regression
analysis.” The Forestry Chronicle, October: 402-404.
10. Baskerville, G. L. (1971) “Use of logarithmic regression in the estimation of plant
biomass.” Canadian Journal of Forest Research (2):49-53.
11. Crow, T.R. (1971) “Estimation of biomass in an even-aged stand—regression and mean
tree techniques.” Miscellaneous Publication 132, Agricultural Experiment Station,
University of Maine, Orono, 35-48.
12. Madgwick, H.A.I. (1971) “The accuracy and precision of estimates of the dry matter in
stems, branches and foliage in an old-field Pinus virginiana stand.” Miscellaneous Publication 132, Agricultural Experiment Station, University of Maine, Orono, 105-112.
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13. IUFRO S4.01 proceedings. (1973) “Biomass Studies, published by College of Life
Sciences and Agriculture, University of Maine, Orono (532 pages).” See Table of
Contents, Appendix A.
14. Moore, T.R. and Verspoor, E. (1973) Aboveground Biomass of Black Spruce Stands in
Subarctic Quebec. Canadian Journal of Research 3: 596 – 598.
15. Mountford, M. D. and Bunce, R.G.H. (1973) “Regression sampling with allometrically
related variables, with particular reference to production studies.” Forestry 46(2):203212.
16. Overton, W.S., Lavender, D.P., Hermann, R.K. (1973). “Estimation of biomass and
nutrient capital in stands of old-growth Douglas-fir. In: IUFRO Biomass Studies.”
University of Maine, Orono, ME, pp. 91–103.
17. Swank, W. T. and Schreuder, H. T. (1974) “Comparison of three methods of estimating
surface area and biomass for a forest of young eastern white pine”. Forest Science 20(1):
91 – 100.
18. Madgwick, H.A.I. and T. Satoo. (1975) On estimating the aboveground weights of tree
stands. Ecology, 56: 1446-1450.
19. Schlaegel, B. E. (1975) Estimating Aspen volume and weight for individual trees,
diameter classes, or entire stands. USDA Forest Services, Northern Forest Experiment
Station. General Technical Report NC-20.
20. Schlaegel, B. E. (1975) Yields of four 40-year-old conifers and aspen in adjacent stands.
Canadian Journal of Forest Research 5:278-280,
21. Whittaker, R. H. and Marks, P. L. (1975) “Methods of Assessing Terrestrial
Productivity.” In Primary Productivity of the Biosphere, Helmut Lieth and Robert H.
Whittaker, eds. Springer-Verlag New York Inc.
22. IUFRO S4.01 proceedings. (1976). Oslo Biomass Studies, published by College of Life
Sciences and Agriculture, University of Maine, Orono. (302 pages). See Table of
Contents, Appendix B.
23. Clark III, A. and M. A. Taras. (1976). Comparison of aboveground biomasses of the four
major southern pines. Forest Products Journal, 26(10): 25-29.
24. Egunjobi, J. K. (1976). An evaluation of five methods for estimating biomass of an evenaged plantation of Pinus caribaea L. Oecologia Plantarum, 11(2): 109-116.
25. Madgwick, H.A.I. (1976). Mensuration of forest biomass. In Proceedings of the XVI
IUFRO World Congress, 1976. Norwegian IUFRO Congress Committee, Norway: 35-47.
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26. Young, H.E. (1976) A Summary and analysis of weight table studies. Complete Tree
Institute, University of Maine, USA.
27. Kinerson, R. S. and Bartholomew, I. (1977) Biomass estimation equations and nutrient
composition of white pine, white birch, red maple, and red oak in New Hampshire. New
Hampshire Agricultural Experiment Station, Research Report Number 62.
28. Grigal, D.F. and L.F. Ohmann. (1977). Biomass estimation for some shrubs from
northeastern Minnesota. USDA Forest Service, Research Note NC-226, 3 pages.
29. Taras, M.A. and Clark III. A. (1977). Aboveground biomass of Longleaf pine in a
natural sawtimber stand in southern Alabama. USDA Forest Service, Research Paper
SE-162, 32 pages.
30. Richard, W. R. (1978). “Evaluation of Optical dendrometry for determination of standing
tree biomass. A thesis presented to the Faculty of the Graduate School of Western
Carolina University 42 pp.
31. Young, H.E., and Tryon, T.C. (1978). A national forest biomass inventory. Prepared for
IUFRO S4.01 Forest Inventory Meeting, Bucharest, Romania.
32. Cunia, T. 1979. On sampling trees for biomass tables construction: Some statistical
comments. In Forest Resource Inventories Vol. II (W.E. Frayer ed.).
33. Hitchcock III, H.C. (1979). Biomass of southern hardwood Regeneration estimated by
vertical line sampling. Journal of Forestry, 77(8): 474-477.
34. Hitchcock III, H.C., and McDonnell, J.P. (1979). Biomass measurement: a synthesis of
the literature. In Proceedings of the Forest Inventory Workshop, SAF-IUFRO. Fort
Collins, Colorado: 544-595.
35. Monteith, D.B. and Jacobs, M. 1979. Biomass weight tables for New York methods,
procedures and results. In Proceedings of a workshop in Forest Resource Inventories Vol.
II (W.E. Frayer ed.).
36. Phillips, D.R. and J.R. Saucier. (1979) A test of prediction equations for estimating
hardwood understory and total stand biomass. Georgia Forestry Commision, Georgia
Forest Research Paper 7, 8 pages.
37. Ribe, J. H. (1979). A study of multi-stage sampling and dimensional analysis of
Puckerbrush stands. Bulletin Nos. The complete tree institute University of Maine at
Otrono, 107pp.
38. Roussopoulos, P.J. and R.M. Loomis. (1979) Weights and dimensional properties of
shrubs and small trees of the Great Lakes conifer forest. USDA Forest Service, Research
Paper NC-178, 6 pages.
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39. Stanek, W. and State, D. (1979). Equations predicting primary productivity (biomass), of
trees, shrubs, and lesser vegetation based on current literature. Aspen Bibliography
40. Alemdag, I.S. (1980) Manual of data collection and processing for the development of
forest biomass relationships. Petawawa National Forestry Institute, Canadian Forestry
Service, Information Report PI-X-4, ISSN 0706-1854, 38 pages.
41. Crow, T.R. and P.R. Laidly. (1980) Alternative models for estimating woody plant
biomass. Canadian Journal of Forest Research, 10(3): 367-370.
42. Parde, J. (1980) Forest Biomass. Forestry Abstracts 41(8): 343-362.
43. Tucker, C.J. (1980) A critical review of remote sensing and other methods for nondestructive estimation of standing crop biomass. Grass and Forage Science, 35:177-182.
44. Alemdag, I.S. and K.W. Horton. (1981) Single-tree equations for estimating biomass of
Trembling aspen, Large tooth aspen, and White birch in Ontario. The Forestry
Chronicle, 57(4): 169-173.
45. Delcourt. H. R. West, D. C. and Delcourt, P. A. (1981). “Forests of the Southeastern
United States: Quantitative Maps for Aboveground Woody Biomass, Carbon, and
Dominance of Major Tree Taxa. Ecological Society of America 62(4):879-887.
46. Madgwick, H.A.I. (1981) Estimating the above-ground weight of forest plots using the
basal area ratio method. New Zealand Journal of Forest Science, 11(3): 278-286.
47. Payandeh, B. (1981) Choosing regression models for biomass prediction equations. The
Forestry Chronicle, 57(4): 229-232.
48. Phillips, D.R. (1981) Predicted total-tree biomass of understory hardwoods. USDA
Forest Service, Research Paper SE-223, 22 pages.
49. Phillips, D.R. and J.R. Saucier. (1981) Cruising procedures for estimating total stand
biomass. Georgia Forestry Commission, Georgia Forest Research Paper 14, 6 pages.
50. Saucier, J.R., D.R. Phillips, and J.G. Williams, Jr. (1981) Green weight, volume, boardfoot, and cord tables for the major southern pine species. Georgia Forestry Commission,
Georgia Forest Research Paper 19, 63 pages.
51. Schlaegel, B.E. 1981. Willow oak volume and weight tables for the Mississippi delta.
USDA Forest Services, Southern Forest Experiment Station, Research Paper SO – 173.
52. Alban, D.H. and P.R. Laidly. (1982) Generalized biomass equations for jack and red
pine in the Lake States. Canadian Journal of Forest Research, 12: 913-921.
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53. Alemdag, I. S. (1982) Methods of estimating forest biomass from stand volumes: A case
study with Ontario jack pine. Pulp & Paper Canada 83(9): 41-43.
54. Baldwin, Jr., V.C. and R.E. Lohrey. (1982) Proceedings of the 1982 Southern Forest
Biomass Working Group Workshop. June 16-18, Alexandria, Louisiana, 131 pages.
55. Clark III, A. and W.H. McNab. (1982) Total tree weight tables for Mockernut hickory
and White ash in north Georgia. Georgia Forestry Commission, Georgia Forest
Research Paper 33, 11 pages.
56. Lavigne, M.B. 1982. Tree mass equations for common species of Newfoundland.
Information Report N-X-213. Newfoundland Forest Research Centre, Canadian Forest
Service, Department of the Environment.
57. McNab, W.H. and A. Clark, III. (1982) Total tree and major component green weight of
White pine and hemlock in north Georgia. Georgia Forestry Commission, Georgia
Forest Research Paper 31, 14 pages.
58. Phillips, D.R. and W.H. McNab. (1982). Total-tree green weights of sapling-size pines in
Georgia. Georgia Forestry Commission, Georgia Forest Research Paper 39, 18 pages.
59. Saucier, J.R. and J.A. Boyd. (1982) Aboveground biomass of Virginia pine in north
Georgia. USDA Forest Service, Research Paper SE-232, 32 pages.
60. Schlaegel, B. E. (1982) Boxelder (Acer negundo L.) biomass component regression
analysis for the Mississippi delta. Forest Science 28(2) 355-358.
61. Tritton, L.M. and J.W. Hornbeck. (1982) Biomass equations for major tree species of
the northeast. USDA Forest Service, General Technical Report NE-69, 46 pages.
62. Alemdag, I.S. (1983) Mass equations and merchantability factors for Ontario softwoods.
Information Report PI-X-23, Petawawa National Forestry Institute, Canadian Forest
Service, 27 pages.
63. Evert. F. (1983). A national system of equations for estimating ovendry mass of
trembling aspen Populus tremuloides Michx. Information Report PI-X-24, Petawawa
National Forestry Institute, Canadian Forest Service, 23 pages.
64. Lund, H.G. (1983). Biomass estimation in woodlands and scrub formations for assessing
potential fuelwood production and availability.Consultant report PWB 1981;2m/m.
Rome, Italy: Food and Agriculture Organization of the United Nations; Forest Resources
Division. 110p.
65. Madgwick, H.A.I. (1983) Above-ground weight of forest plots—comparison of seven
methods of estimation. New Zealand Journal of Forestry Science, 13(1): 100-107.
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66. Madgwick, H.A.I. (1983). Estimation of the oven-dry weight of stems, needles, and
branches of individual Pinus radiata trees. New Zealand Journal of Forest Science,
13(1): 108-109.
67. McClure, J.P. (1983). Converting broad-scale timber inventories to biomass In Daniels,
R.F. and Dunham, P.H. (eds.) Proceedings of the 1983 Southern Forest Biomass
Workshop : fifth annual meeting of the Southern Forest Biomass Working Group,
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68. Medema, L. (1983) Economic efficiency in the forest service planning process: a critique
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69. Miller, J. H. (1983). A regression-adjusted approach can estimate competing biomass. In:
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70. Schlaegel, B.E. and Willson, R.B. 1983. Nuttall oak volume and weight tables. USDA
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71. Sirois, D. L. (1983). Biomass of four hardwoods from lower Piedmont pine-hardwood
stands in Alabama. USDA Forest Service, Southern Forest Experiment Station, General
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72. Smith, W. B. and Brand, G. J. (1983). Allometric biomass equations for 98 species of
herbs, shrubs and small trees. Research Note. NC-299. St. Paul, MN: USDA, Forest
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74. Chiyenda, S.S. and A. Kozak. (1984) Additivity of component biomass regression
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75. Chojnacky, D. C. (1984). Volume and biomass for curleaf cercocarpus in Nevada. Res.
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Thinned Second-Growth Ponderosa Pine Trees. USDA Research Note PNW-415.
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77. Cunia, T. & Briggs, R. D. (1984) Forcing additivity of biomass tables: some empirical
results. Canadian Journal of Forest Research 14:376-384
78. Franchi, B. L., Savelle, I. W., Watson, W. F. & Stokes, B. J. (1984). Predicting biomass
of understory stems in the Mississippi and Alabama Coastal Plains. Technical Bulletin
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79. Hahn, J. T. (1984). Tree Volume and Biomass Equations for the Lake States. USDA
Research Paper NC-250. 1-10pp.
80. Lohrey, R.E. 1984. Aboveground biomass of planted and direct seeded slash pine in the
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81. Lund, H. G. (1984). Arid land fuelwood inventories: a literature synthesis. Prepared for:
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82. McClure, J. P. and Knight, H. A. (1984). Empirical yields of timber and forest biomass in
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83. Pastor, J., Aber, J.D. and Melillo, J.M. (1984) Biomass prediction using generalized
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84. Schlaegel, B.E. 1984A. Sweetgum volume and weight tables. USDA Forest Services,
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85. Schlaegel, B.E. 1984B. Sugarberry volume and weight tables. USDA Forest Services,
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86. Schlaegel, B.E. 1984C. Green ash volume and weight tables. USDA Forest Services,
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87. Schlaegel, B.E. 1984D. Overcup oak volume and weight tables. USDA Forest Services,
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88. Steinhilb, H.M., Arola, R.A., & Winsauer S.A. (1984). Green weight tables for eight tree
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90. Williams, R.A. & J.R. McClenahen. (1984). Biomass prediction equations for seedlings,
sprouts, and saplings of ten central hardwood species. Forest Science, 30(2): 523-527.
91. Bonnor, G.M. (1985). Inventory of Forest Biomass in Canada. Petawawa National
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species. Information Report PI-X-59, Petawawa National Forestry Institute, Canadian
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94. Magnussen, S., V. G. Smith, & C. W. Yeatman (1985) Tree size, biomass, and volume
growth of twelve 34-year-old Ontario jack pine provenances. Canadian J. Forest
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95. Reed, D. D., and Green, E. J. (1985) A method of forcing additivity of biomass tables
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96. Smith, W. B. (1985). Factors and equations to estimate forest biomass in the north central
region. Res. Pap. NC-268. St. Paul, MN:U.S. Department of Agriculture, Forest Service,
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97. Snowdon, P. (1985). Effects of fertilizer and family on homogeneity of biomass
regressions for young Pinus radiata. Australian Forest Research, 15: 135-140.
98. Snowdon, P. (1985). Alternative sampling strategies and regression models for estimating
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99. Stromgaard, P. (1985) “Biomass estimation equations for miombo woodlanf, Zambia”.
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103.
Jokela, et al. (1986) Biomass estimation equations for Norway spruce in New
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104.
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124.
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Decisions and uncertainties associated with allometric biomass models. Forest Ecology
and Management 262:1648-1657.
382.
Vale, D. (2011). Incorrect representation of uncertainty on the modeling of
growth leads to biased estimates of future biomass. Submitted to Ecological applications.
383.
Wang, J., Zhang, C, Xia, F. Zhao, X., Wu, L. & von Gadow, K. (2011). Biomass
structure and allometry of Abnis nephrolepsis (Maxim) in Northeast China. Silva Fennica
45(2) 211-226.
384.
Woodall, C. W., Health, L. S., Domke, G. M., & Nichols, M. C. (2011). Methods
and equations for estimating aboveground volume, biomass, and carbon for trees in the
U.S. forest inventory, 20120. Gen. Tech. Rep. NRS-88. Newton Square, PA: US.
Department of Agriculture, Forest Service, Northern Research Station. 30 p.
385.
Alvarez, E., Duque, A., Saldarriga, J. Cabrera, K., Salas, d. l. G., Valle, d. I.,
Lema, A., Moreno, F., Orrego, S. and Rodriguez, L. (2012) “Tree above-ground biomass
allometries for carbon stocks estimation in the natural forests of Colombia.” Forest
Ecology and Management 267:297-308.
32
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386.
Annighofer, P., Molder, I., Zerbe, S., Kawaletz, H., Terwei, A. and Ammer, C.
(2012) “Biomass functions for the two alien tree species Prunus serotina Ehrh. and
Robinia pseudoacacia L. in floodplain forests.” European Journal of Forest Resources
17pp.
387.
Bascietoo, M., Cinto, B.D., Matteucci, G. and Cescatti, A. (2012) Biometric
assessment of above ground carbon pools and fluxes in three European forests by
randomized branch sampling. Forest Ecology and Management 276: 172 – 181.
388.
Burkhart, H. E. and Tome, M. (2012). Tree weight and biomass estimation.
Chapter 4 Modeling Forest Trees and Stands 65-83.
389.
Feldpausch, T. R. et al (2012) Tree height integrated into pantropical forest
biomass estimates. Biogeosciences 9:3381-3403.
390.
Marshall, A.R., Willcock, S., Platts. P.J., Lovett, J.C., Balmford, A., Burgess,
N.D., Latham, J.E., Munish, P.K.T., Salter. R., Shirima. D.D. and Lewis, S.L. (2012).
“Measuring and modeling above-ground carbon and tree allometry along a tropical
elevation gradient”. Biological Conservation 154:20-33.
391.
Mello, A.A., Nutto, L., Weber, K.S., Sanquetta, C.E., Matos, J.L.M. and Becker,
G. (2012) Individual biomass and carbon equations for Mimosa scabrella Benth.
(Bracatinga) in Southern Brazil. Silva Fennica 46(3): 333 – 343.
392.
Neto, V., Ainuddin, N.A., Wong, M. and Ting, H.L. (2012) Contributions of
forest biomass and organic matter to above and belowground carbon contents at Ayer
Hitam forest reserve, Malaysia. Journal of Tropical Forest Science 24(2): 217 – 230.
393.
Ngo, K.M., Turner, B.L., Muller- Landau, H.C., Davies, S.J., Larjavaara, M.,
Hassan, N.F. and Lum, S. (2012) Carbon stocks in primary and secondary tropical forests
in Singapore. Forest Ecology and Management 296: 81 – 89.
394.
Ozcelik, R. and Eraslan, T. (2012) “Two-stage sampling to estimate individual
tree biomass”. Turkish Journal of Agriculture and Forestry 36: 389-398.
395.
Subedi, M. R. and Sharma, R.P. (2012) Allometric biomass models for bark of
Cinnamomum tamala in mid-hill of Nepal. Biomass and Bioenergy 47: 44 – 49.
Vielledent, G., Vaudry, R., Andriamanohisoa, F. D. A., Rakotonarivo, O. S.,
396.
Randrianasolo, H. Z., Razafindrabe, H. N., Rakotoarivony, C. B., Ebeling, J. and
Rasamoelina, M. (2012) A universal approach to estimate biomass and carbon stock in
tropical forests using generic allometric models. Ecological Applications 22(2):572-583.
397.
Wiemann, M. C. and Williamson, G. B. (2012) “Density and Specific Gravity
Metrics in Biomass Research”. General Technical Report FPL-GTR-208:1-6.
33
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398.
Woodall, C. W., Domke, G. M., MacFarlane, D. W. and Oswalt, C. M. 2012.
Comparing field- and model-based standing dead tree carbon stock estimates across
forests of the US. An International Journal of Forest Research 85(1): 125-133.
399.
Devagiri, G.M., Money, S., Singh, S., dadhawal, V.K., Patil, P., Khaple, A.,
Devakumar, A.S. and Hubballi, S. (2013) “Assessment of above ground biomass and
carbon pool in different vegetation types of south western part of Karnataka, India using
spectral modeling”. Tropical Ecology 54(2): 149 – 165.
400.
Fayolle, A., Doucet, J., Gillet, J., Bourland, N. and Lejeune, P. (2013) “Tree
allometry in Central Africa: Testing the validity of pantropical multi-species allometric
equations for estimationg biomass and carbon stocks”. Forest Ecology and Management
305:29-37.
401.
Makungwa, S.D., Chittock, A., Skole, D.L., Kanyama-Phiri, G.Y. and
Woodhouse, I.H. (2013) “Allometry for Biomass Estimation in Jatropha Trees Planted as
Boundary Hedge in Farmers’ Fields”. Forest 4:218-233.
402.
Miner, R. (2013) “A review of bioass carbon accounting methods and
implications”. Technical Bulletin no. 1015, National Council for Air and Stream
Improvement: 1-30.
403.
Mugasha, W.A., Eid, T., Bollansas, O.M., Malimbwi, R.E., Chamshama, S.A.O.,
Zahabu, E. and Katani, J.Z. (2013) “Allometric models for prediction of above and below
ground biomass of trees in the miombo woodlands of Tanzania”. Forest Ecology and
Management 310: 87 – 101.
404.
Nunes, L., Lopes, D., Rego, F.C. and Gower, S.T. (2013) Aboveground biomass
and net primary production of pine, oak and mixed pine-oak forests on the Vila Real
District, Portugal. Forest Ecology and Management 305: 38 – 47.
405.
Schneider, R. and Saucier, M.F.J. (2013) “Équations de défilement en forêt
naturelle pour les principales essences commerciales du Québec”. Memoire de Recherche
Forestiere N˚167:1-40.
406.
Slik, J.W.F., Paoli, G., McGuire, K., Amaral, I., Barroso, J., Bastian, M., Blanc,
L., Bongers, F., Boundja, P., Clark, C., Collins, M., dauby, G., Ding, Y., Doucet, J., Eler,
E., Ferreira, L., Forshed, O., Fredriksson, G., Gillet, J., Harris, D., leal, M., Laumonier,
Y., Malhi, Y., Mansor, A., Martin, E.Miyamoto, K., Araujo-Murakami, A.,Nagamasu,
H., Nilus, R., Nurtjahya, E., oliveira, A., Onrizal, O., Parada-Gutierrez, A., permana, A.,
Poorter, L., Poulsen, J., Ramirez-Angulo, H., Rietsma, J., Rovero, F., Rozak, A., Sheil,
D., Silva-Espejo, J., Silveira M., Spironelo, W., Steege, H., Stevart, T., Navarro-Aguilar,
G.E., Sunderland, T., Suzuki, E., Tang, J., Theilade, I., Heijden, G.V.D., Valkenburg,
J.V., Do, T.V., Vilanova, E., Vos, V., Wich, S., Woll, H., Yoneda, T., Zang, R., Zhang,
M. and Zweifel, N. (2013) “Large trees drive forest aboveground biomass variation in
moist lowland forests across the tropics”. Global Ecology and Biogeography : 1-11.
34
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© 2013 Timothy G. Gregoire, Yale University
407.
Woodall, C.W., Walters, B.F., Oswalt, S.N., Toney, C. and Gray, A.N. (2013)
Biomass and carbon attributes of downed woody materials in forests of the United States.
Forest Ecology and Management 305: 48-59.
408.
Wilson, B.T., Woodall, C.W. and Griffith, D.M. (2013) “Imputing forest carbon
stock estimates from inventory plots to a nationally continuous coverage”. Carbon
Balance and Management 8:1-15.
409.
Rombold, J. A bibliography of carbon sequestration and biomass estimation.
Forest Carbon Monitoring Program, Working Paper 96/03, College of Forest Resources,
University of Washington.
410.
Albert, K., Annighöfer, P., Schumacher, J. & Ammer, C. (2014) Biomass
equations for seven different tree species growing in coppice-with-standards forests in
Central Germany. Scandinavian Journal of Forest Research 29(3) 210-221.
411.
Banin, L. et al. (2014) Tropical forest wood production: a cross-continental
comparison. In press
Appendix A
Table of Contents for (see main biblio listing)
IUFRO S4.01 proceedings. (1973) Biomass Studies, published by College of Life Sciences and
Agriculture, University of Maine, Orono (532 pages)
GENERAL
Young, H.E., Orono, ME. Growth, yield and inventory in terms of biomass, 1-10.
STATISTICAL
Bartos, D.L., Logan, UT. A dynamic model of aspen succession, 11-26.
Burkhart, H.E. and M.R. Strub, Blacksburg, VA. Dry weight yield estimates for loblolly pine: A
comparison of two techniques, 27-40.
Harris, W.F., R.A. Goldstein, and G.S. Henderson, Oak Ridge, TN. Analysis of forest biomass
pools, annual primary production and turnover of biomass for a mixed deciduous forest
watershed, 41-64.
35
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© 2013 Timothy G. Gregoire, Yale University
Kinerson, Jr., R.S. and K.O. Higginbotham, Durham, NC. A quantitative description and
simulation of branch wood production relationships in the forest canopy, 65-76.
Nemeth, J.C., Wilmington, NC. Forest biomass estimation: Permanent plots and regression
techniques, 77-88.
Overton, W.S., D.P. Lavender, and R.K. Hermann, Corvallis, OR. Estimation of biomass and
nutrient capital in stands of old-growth Douglas fir, 89-104.
Ralston, C.W., Durham, NC. Annual primary productivity in a loblolly pine plantation, 105-118.
Ribe, J.H., Orono, ME. A study of multi-stage and dimensional analysis sampling of puckerbush
stands, 119-130.
Schreuder, H.T. and W.T. Swank, NC. Statistical considerations in sampling biomass and
surface area over time for a Pinus Strobus L. forest, 131-142.
Sharpe, D.M. and W.C. Johnson, IL and TN. Biomass dynamics of the commercial forests of the
Tennessee Valley, 143-158.
Stout, B.B., New Brunswick, NJ. Height-diameter relations in trees: An examination of
Greenhill’s model, 159-170.
Swank, W.T. and H.T. Schreuder, NC. Temporal changes in biomass, surface area, and net
production for a Pinus Strobus L. forest, 171-182.
Van Laar, A., Stellenbosch, South Africa. Relationship between needle-biomass and growth of
Pinus radiata, 183-194.
Young, H.E., Orono, ME. Biomass variation in apparently homogenous puckerbush stands, 195206.
BIOLOGICAL APPLICATIONS
Berry, A.B., Ontario, Canada. Production of dry matter for aspen stands harvested on short
rotations, 207-218(?).
Bickelhaupt, D.H., A.L. Leaf, and N.A. Richards, Syracuse, NY. Effect of pranching habit on
above-ground dry weight estimates of Acer saccharum stands, 219(?)-230.
Bower, D.R., Centralia, WA. Measurement of growth response in fertilized Douglas fir, 231248.
Bouchon, J., Einville, France. Biomass studies in a biological reserve. I. Estimation of branch
volume, 249-258.
36
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© 2013 Timothy G. Gregoire, Yale University
Bouchon, J. and A. Reidacker, Einville, France. Allometric relationships in a young coppice of
Eucalyptus camaldulensis. Indication for the above ground biomass sampling, 259-268.
Brunig, E.F., Reinbek, Federal Republic of Germany. Biomass diversity and biomass sampling
in tropical rainforest, 269-294.
Dissescu, R., Bucuresti II, Romania. Contributions to the study of the correlation between the
size of foliage and current volume growth for trees of Robinia pseudacacia L., 295-304.
Garelkov, D., Sofia, Bulgaria. Biological productivity of some beech forest types in Bulgaria,
305-314.
Kimmins, J.P. and G.J. Krumlik, Vancouver, B.C. Comparison of the biomass distribution and
tree form of old virgin forests at medium and high elevations in the mountains of south coastal
British Columbia, Canada, 315-336.
Klinge, H. and W.A. Rodrigues, Venezuela and Brazil. Phytomass estimation in a central
Amazonian rain forest, 337-350.
Kormanik, P.P., G.L. Tyre, and R.P. Belanger, NC. A case history of two short-rotation coppice
plantations of sycamore on southern Piedmont bottomlands, 351-360.
Krumlik, G.J. and J.P. Kimmins, Vancouver, BC. Studies of biomass distribution and tree form
in old virgin forests in the mountains of south coastal British Columbia, 361-374.
Malkonen, E., Helsinki, Finland. Effect of complete tree utilization on the nutrient reserves of
forest soils, 375-386.
Schlaegel, B.E., Grand Rapids, MN. Estimating the weight yield of Minnesota quaking aspen
(Populus tremuloides Michx.), 387-398.
Smith, J.H.G., Vancouver, BC. Biomass of some young red alder stands, 399-410.
Weaver, G.T. and H.R. DeSelm, IL and TN. Biomass distributional patterns in adjacent
coniferous and deciduous forest ecosystems, 411-428.
UTILIZATION APPLICATIONS
Alestalo, A., Imatra, Finland. On the possibilities of the utilization of needles and bark, 429-442.
Erickson, J.R. MI. Whole-tree hipping and residue utilization, 443-450.
Hakkila, P., Helsinki, Finland. Towards the utilization of stump and root wood, 451-466.
37
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© 2013 Timothy G. Gregoire, Yale University
Ievenš, I.K., U.I. Galvans, M.O. Daugavietis, and J.J. Kevinš, Riga, USSR. Útilization of
needles and leaves in the USSR, 467-476.
Johnstone, W.D. and J.L. Keays, Canada. Kraft pulp from the components of lodgepole pine,
477-494.
Pensar, G. and K. Hannus, Turku, Finland. Silvichemicals in technical foliage. I. Water steam
distilled oil from pine material, 495-506.
Schmidt, F.L. and D.S. DeBell, WA. Wood production and kraft pulping of short-rotation
hardwoods in the Pacific Northwest, 507-516.
Wilhelmsen, G. and E. Vestjordet, Norway. Preliminary dry wood weight tables for
merchantable stems and stands of Norway spruce (Picea Abies L. Karst.) in Norway, 517-532.
38
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© 2013 Timothy G. Gregoire, Yale University
Appendix B
Table of Contents for (see main biblio listing)
IUFRO S4.01 proceedings. (1976) Oslo Biomass Studies, published by College of
Life Sciences and Agriculture, University of Maine, Orono. (302 pages).
EDITORIAL
Young, H.E., Orono, ME. Seven wooden poles in a Maginot fence, 1-10.
INVITATIONAL PAPER
Madgwick, H.A.I., Rotorua, New Zealand. Mensuration of forest biomass,
11-28.
NUTRIENT STUDIES
Cromer, R.N., M. Raupach, A.R.P. Clarke, and J.N. Cameron, Australia.
Eucalypt plantations in Australia – The potential for intensive production and utilization, 29-40.
Kimins, J.P. and G.J. Krumlik, Vancouver, B.C., On the question of nutrient losses
accompanying whole tree logging, 41-54.
Norton, S.A. and H.E. Young, Orono, ME. Forest biomass utilization and nutrient budgets, 5574.
Young, H.E. and P.N. Carpenter, Orono, ME. Sampling variation of nutrient element content
within and between trees of the same species. 75-100.
BIOMASS STUDIES
Brown, J.A., Ogden, UT. Predicting crown weights for 11 Rocky Mountain conifers, 101-116.
Galvans, U.I., Riga, USSR. Aboveground biomass of trees harvested in thinnings, 117-128.
Sharma, V.K., India. Biomass estimation of Shorea robusta and Buchanania lanzan by
regression technique in natural dry deciduous forest, 129-142.
Singh, R.P. and V.K. Sharma, India. Biomass estimation in five different aged plantations of
Eucalyptus tereticornis Smith in western Uttar Pradesh, 143-162.
39
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Smith, J.H.G., Vancouver, B.C. Methods for use of timber inventory data to estimate averages
and upper limits to growth and yield of biomass, 163-174.
Vyskot, M., Czechoslovakia. Biomass production of the tree layer in a floodplain forest near
Lednice, 175-202.
Vyskot, M., Czechoslovakia. Floodplain forest in biomass, 203-230.
Weaver, G.T., Carbondale, IL. A comparison of models for estimating production of oak and
hickory branches, 231-250.
Young, H.E., Orono, ME. A summary and analysis of weight table studies, 251-282.
Young, H.E., L.E. Hoar, and T.C. Tryon, ME. A forest biomass inventory of some public lands
in Maine, 283-302.
40
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© 2013 Timothy G. Gregoire, Yale University
Appendix C
Table of Contents for (see main biblio listing)
USDA Forest Service General Technical Report NE-GTR-117 (July 1987). Estimating tree
biomass regressions and their error: Proceedings of the Workshop on Tree Biomass Regression
Functions and their Contribution to the Error of Forest Inventory Estimates. Syracuse, NY: May
26-30, 1986. (303 pages)
PART I: TUTORIAL PAPERS
Combining the Error of Sample Plots and Biomass Regressions
Cunia, T. Error of forestry inventory estimates: Its main components, 1-14.
Cunia, T. An optimization model to calculate the number of sample trees and plots, 15-26.
Error of Biomass Regressions
Cunia, T. Construction of tree biomass tables by linear regression techniques, 27-36.
Cunia, T. Use of dummy variables techniques in the estimation of biomass regressions, 37-48.
Cunia, T. On the error of tree biomass regressions: Trees selected by cluster sampling and
double sampling, 49-62.
Error of Sample Plots
Cunia, T. On the error of forest inventory estimates: Stratified sampling and double sampling
for stratification, 63-70.
Cunia, T. On the error of forest inventory estimates¨ Two-stage sampling of plots, 71-78.
Cunia, T. On the error of forest inventory estimates: Double sampling with regression, 79-88.
Cunia, T. On the error of forest inventory estimates: Continuous forest inventory without SPR,
89-98.
Cunia, T. On the error of forest inventory estimates: Continued forest inventory with
SP R, 99-108.
41
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© 2013 Timothy G. Gregoire, Yale University
PART II: RESEARCH PAPERS
Biomass Regressions and Measurement Error
Cunia, T. An optimization model for subsampling trees for biomass measurement, 109-118.
Briggs, R.D., T. Cunia, E.H. White, and H.W. Yawney. Estimating sample tree biomass by
subsampling: Some empirical results, 119-128.
Valentine, H.T., T.G. Gregoire, and G.M. Furnival, Unbiased estimation of total tree
weight by three-stage sampling with probability proportional to size, 129-132.
Auclair, D. Measurement errors in forest estimation, 133-140.
Biomass of Forest Understory Vegetation
Alaback, P.B. Biomass-dimension relationships of understory vegetation in relation to site and
stand age, 141-148.
Mead, B., J. Yarie, and D. Herman. Biomass estimates for nontimber vegetation in the Tanana
River basin of interior Alaska, 149-156.
Biomass Functions in the Eastern U.S.: Regression Models and Application to Timber
Inventories
Baldwin, Jr., V.C. A summary of equations for predicting biomass of planted southern pines,
157-172.
Clark III, A. Summary of biomass equations available for softwood and hardwood species in the
southern United States, 173-188.
Thomas, J.D. and R.T. Brooks, Jr. Methods for estimating the forest biomass in Tennessee
Valley region, 189-192.
Zeide, B. Areas of biomass research, 193-198.
Biomass Studies Outside the United States
Singh, T. Prediction error in tree biomass regession functions for western Canada, 199-208.
Auclair, D. Forest biomass studies in France, 209-212.
Pelz, D.F. Biomass studies in Europe – an overview, 213-224.
42
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© 2013 Timothy G. Gregoire, Yale University
Kleinn, C. and D.R. Pelz, Subsampling trees for biomass, 225-228.
Kasile, J.D. Simple biomass regression equations for subtropical dry forest species, 229-234.
Use of Simulation Techniques to Evaluate the Validity of Biomass Regression Functions
Cunia, T. Evaluating errors of tree biomass regressions by simulation, 235-242.
Gillespie, A.J. and T. Cunia. Estimation of tree biomass by cluster sampling: Results of a
simulation study, 243-252.
Arabatzis, A. and T. Cunia. Error of biomass regressions: Sample trees selected by stratified
sampling, 253-268.
Michelakackis, J. and T. Cunia. Error of biomass regressions: Sample trees selected by double
sampling, 269-286.
Chojnacky, D.C. Using simulation to evaluate volume equation error and sampling error in a
two-phase design, 287-294.
McClure, J.P. and R.L. Czaplewski, High order regression models for regional volume
equations, 295-303.
43
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blio.pdf
© 22013 Timothy G. Gregoire, Yalee University
Appendiix D
Table of Contents
C
for (see
(
main biblio listing)
Mitchell,, D. and Ayaala, R. (2005
5) Biomass publications
p
of the forestt operations research uniit: a
synthesiss. U.S. Department of Ag
griculture, Forest
F
Servicce, Southern Research Sttation.
[1 CD-RO
OM]
Public
cations by Auth
hor
Forest Operations Researc
ch Work Unit
R
Station
n
Southern Research
Auburn, Ala
abama
ment produced by
y the Forest Ope
erations Research
h Unit is assigne
ed a unique intern
nal publication number. These
Each docum
numbers are
e linked to the full publications in Adobe (.pdf) file format.
shmore, Colin. 1986. Roll splitting
g of biomass. In: Proceedings of the 13th Annuall Mountain Lake Vegetation
179
As
Managemen
nt Council, Inc. Fredericksburg,
F
VA:
V Southern Prin
nting: 16-18.
shmore, Colin; Sirois,
S
Donald L.; Stokes, Bryce J. 1987a. Evaluattion of roll design
ns on a roll-crush
her/crusher/splitte
er
182
As
biomass harrvester: test benc
ch results. In: Pro
oceedings of the
e 1986 southern fforest biomass w
workshop. Muscle
e Shoals, AL:
Tennessee Valley
V
Authority: 113-116.
shmore, Colin; Stokes,
S
Bryce J. 1987b.
1
Positionin
ng chip vans. AP
PA Tech. Rel. 87--R-4. Washington, DC: American
n
184
As
Pulpwood Association.
A
2 p.
arnett, Paul E.; Sirois,
S
Donald L. 1985. Roll splitting as an alternattive intermediate
e process for woo
od fuel. Forest E
Energy
154
Ba
Newsletter. Garpenberg, Sw
weden: Forest Energy Secretariat, SLU: 37-38.
arnett, Paul E.; Sirois,
S
Donald L.; Ashmore, Colin. 1986. Reductio
on of biomass m
moisture by crushing/splitting—a
170
Ba
concept. In:: Proceedings of the 1985 southe
ern forest biomas
ss workshop. Ga
ainesville, FL: Un
niversity of Florid
da: 13-16.
aughman, Ronald K.; Stokes, Bry
yce J.; Watson, William
W
F. 1990. Utilizing residue
es from in-woodss flail processing. In:
283
Ba
Stokes, B.J., ed. Harvesting small trees and forest residues: Proceedings of tthe International Energy Agency,, task 6, activity 3
A
AL: U.S. Department of Agriculture,
A
Fores
st Service, South
hern Forest Expe
eriment Station: 2
21-30.
workshop. Auburn,
577
Bo
olding, Chad; Lanford, Bobby; Ke
ellogg, Loren. 2003. Forest fuel re
eduction: currentt methods and fu
uture possibilitiess. In:
Proceedings
s of the 2003 Council on Forest Engineering.
E
Bar Harbor, ME: [Pu
ublisher Unknown]: 5 p.
olding, M. Chad; Lanford, Bobby L. 2001. Forest fuel reduction th rough energy wo
ood production u
using a small
508
Bo
chipper/CTL
L harvesting syste
em. [CD-ROM] In: Wang, Jingxin
n; Wolford, Miche
elle; and McNeell, Joe, eds. Appa
alachian hardwoo
ods;
managing ch
hange: Proceedings of the 24th annual
a
Council on Forest Enginee
Corvallis, OR: Co
ouncil on Forest
ering meeting. C
Engineering: 65-70.
olding, Michael. 2002.
2
Forest fue
el reduction and energy
e
wood pro
oduction using a ccut-to-length/small chipper harve
esting
556
Bo
system. Auburn, Alabama: Auburn
A
Universitty. 111 p. M.S. th
hesis.
N
Stokes, Bryc
ce; Wiselogel, Arrt [and others]. 1 993. Harvesting and handling fue
el wood. In: Faziio,
326
Christopherson, Nels;
James R., comp., ed. Trees for fuel wood: a step toward energy diversity. Ne
ebraska City, NE:: The Arbor Day Institute: 34-44.
44
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139
Curtin, Dennis; Stokes, Bryce; Fredericks, Doug. 1985. Hyd-Mech FB7 short rotation hardwood feller-buncher test. APA
Tech. Rel. 85-R-18. Washington, DC: American Pulpwood Association. 2 p.
196
Curtin, Dennis T. 1987a. Preliminary evaluation of conventional round baler for biomass recovery. Forest Energy
Newsletter, No. 7. Garpenberg, Sweden: Forest Energy Secretariat: 12-13.
216
Curtin, Dennis T.; Sirois, Donald L.; Sturos, John A. 1987b. Roll splitting for field processing of biomass. In: Proceedings
of 1987 annual meeting of International Energy Agency Biomass Energy Agreement, task 3. Aberdeen, United Kingdom: [Publisher
Unknown]: 10 p.
116
Franchi, B.L.; Savelle, I.W.; Watson, W.F.; Stokes, B.J. 1984. Predicting biomass of understory stems in the Mississippi
and Alabama coastal plains. MAFES Tech. Bulletin 124. Mississippi State, MS: Mississippi Agricultural & Forestry Experiment
Station. 11 p.
174
Frederick, Douglas J.; Stokes, Bryce J.; Curtin, Dennis T. 1986. Field trials of a Canadian biomass feller buncher. In:
Proceedings of the 1985 southern forest biomass workshop. Gainesville, FL: University of Florida: 17-22.
576
Gallagher, Thomas; Shaffer, Robert. 2003. Using short-rotation hardwood plantations as green inventory for southeastern
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