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The Characteristics and Biomass Distribution in Crown of Larix olgensis in Northeastern China  

Chen, Dongsheng (School of Forestry, Northeast Forestry University)
Li, Fengri (School of Forestry, Northeast Forestry University)
Publication Information
Journal of Korean Society of Forest Science / v.99, no.2, 2010 , pp. 204-212 More about this Journal
Abstract
This study was performed in 22 unthinned Larix olgensis plantations in northeast China. Data were collected on 95 sample trees of different canopy positions and the diameter at breast height ($d_{1.3}$) ranged from 5.7 cm to 40.2 cm. The individual tree models for the prediction of vertical distribution of live crown, branch and needle biomass were built. Our study showed that the crown, branch and needle biomass distributions were most in the location of 60% crown length. These results were also parallel to previous crown studies. The cumulative relative biomass of live crown, branch and needle were fitted by the sigmoid shape curve and the fitting results were quite well. Meanwhile, we developed the crown ratio and width models. Tree height was the most important predictor for crown ratio model. A negative competition factor, ccf and bas which reflected the effect of suppression on a tree, reduced the crown ratio estimates. The height-diameter ratio was a significant predictor. The higher the height-diameter ratio, the higher crown ratio is. Diameter at breast height is the strongest predictor in crown width model. The models can be used for the planning of harvesting operations, for the selection of feasible harvesting methods, and for the estimation of nutrient removals of different harvesting practices.
Keywords
Larix olgensis plantations; Crown ratio; Crown width; Crown biomass;
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1 Paulo, M.J. Stein, A. and Tome M. 2002. A spatial statistical analysis of cork oak competition in two Portuguese silvopastoral systems. Can. J. For. Res. 32: 1893-1903.   DOI   ScienceOn
2 Vanclay, J.K. 1994. Modeling forest growth and yield, Applications to mixed tropical forests, CAB International, Wallingford. 312pp.
3 Van Laar, A. 1973. Needle Biomass, Growth and Growth Distribution of Pinus radiata in South Africa in Relation to Pruning and Thinning. Forschungsberichte der Forstl. Forschungsanstalt Munchen, Vol. 9. 168pp.
4 Zarnoch, S.J. Bechold, W.A. and Stolte, K.W. 2004. Using crown condition variables as an indicator of forest health. Can. J. For. Res. 34: 1057-1070.   DOI   ScienceOn
5 Marklund, L.G. 1988. Biomass afunktioner for tall, gran och bjo rk I Sverige. Biomass functions for pine, spruce and birch in Sweden. Report 45. Swedish University of Agricultural Sciences, Department of Forest Survey. Umea. p.73.
6 Marshale, D.D. Gregory, P.J. Hann, D.W. 2003. Crown profile equations for stand-grown western hemlock trees in northwestern Oregon. Can. J. For. Res. 33: 2059-2066.   DOI   ScienceOn
7 Mohren, G.M.J. 1987. Simulation of forest growth, applied to Douglas-fir stands in the Netherlands. Ph.D. Dissertation, Agricultural University of Wagenin. The Netherlands.
8 Monserud, R.A. 1975. Methodology for simulating Wisconsin Northern hardwood stand dynamics. Ph.D. Thesis, University of Wisconsin, Madison, 156pp.
9 Moore, J. 2002. Mechanical behavior of coniferous trees subjected to wind loading. Ph.D. Dissertation, Oregon State University, Corvallis, Oregon.
10 Monserud, R.A. and Sterba, H. 1996. A basal area increment model for individual trees growing in even and uneven aged forest stands in Austria. For Ecol Manage. 80: 57-80.   DOI   ScienceOn
11 Pretzsch, H. Biber, P. and Dursky, J. 2002. The single tree-based stand simulator SILVA: Construction, application and evaluation. For Ecol Manage. 162(1): 3-21.   DOI   ScienceOn
12 Timo, T. and Eero, F. 2008. Individual tree models for the crown biomass distribution of Scots pine, Norway spruce and birch in Finland. For Ecol Manage. 255: 455-467.   DOI   ScienceOn
13 Tomen. Coelho M.B., Almeida A., Lopes, F., 2001. model SUBER. Estrutura equações utilizadas, Relatorios tecnico- científicos do GIMREF $n^\circ$2/2001, Centro de Estudos Florestais, Instituto Superior de Agronomia, Lisboa.
14 Valentine, H.T. Ludlow, A.R. and Furnival, G.M. 1994. Modeling crown rise in even-aged stands of Stika spruce or loblolly pine. For Ecol Manage. 69: 189-197.   DOI   ScienceOn
15 Hakkila, P. 1991. Hakkuupoistuman latvusmassa. Summary: crown mass of trees at the harvesting phase. Folia For. 773, 24.
16 Hale, S. 2004. Managing light to enable natural regeneration in British conifer forests. Forestry Commission Information Note 63, Forestry Commission, Edin burgh.
17 Hann, D.W. 1997. Equations for predicting the largest crown width of stand-grown trees in Western Oregon. For ResLab, Oregon State Univ, Corvallis. Res Contrib 17. 14pp.
18 Hann, D.W. 1999. An adjustable predictor of crown profile for stand-grown Douglas-fir trees. For Sci. 45(2): 217-225.
19 Horntvedt, R. 1993. Crown density of spruce trees related to needle biomass. For Ecol Manage. 59: 225-235.   DOI   ScienceOn
20 Hasenauer, H. and Monserud, R.A. 1996. A crown ratio model for Austrian forests. For Ecol Manage. 84: 49-60.   DOI   ScienceOn
21 Jahnke, L.S. and Lawrence, D.B. 1965. Influence of photosynthetic crown structure on potential productivity of vegetation based primarily on mathematical models. Ecology. 46: 319-326.   DOI   ScienceOn
22 Kershaw, J.A. and Maguire, D.A. 1995. Crown structure in western hemlock, Douglas-fir and Grand-fir in western Washington trends in branch-level mass and leaf area. Can. J. For. Res. 25: 1897-1912.   DOI
23 Korhonen, K.T. and Maltamo, M. 1990. Mannyn Maanpaa llisten Osien Kuivamassat Etela Suomessa, Vol. 371. Metsantutkimuslaitoksen tiedonantoja, Joensuu, p.29.
24 Larson, B.C. 1963. Stem form development of forest trees. Forest Science Monograph. 5: 1-42.
25 Li, F. R. Choi, J.K. and Kim, J.H. 2001. The development of growth and yield models for the natural broadleaved- Korean pine forests in northeast China. Journal of Korean Forestry Society. 90(5): 650-662.
26 Maguire, D.A. Kershaw, J.A. Hann, D.W. 1991. Predicting the effects of silviculture regime on branch size and crown wood core in Douglas-fir. Forest Science. 37: 1409-1428.
27 Makela, A. and Vanninen, P. 2001. Vertical structure of Scots pine crowns in different age and size classes. Trees. 15: 385-392.   DOI   ScienceOn
28 Baldwin, V.C. and Peterson, K.D. 1997. Predicting the crown shape of loblolly pine trees. Can. J. For. Res. 27: 102-107.   DOI   ScienceOn
29 Bechtold, W.A. 2003. Crown-diameter prediction models for 87 species of stand grown trees in the eastern United States. Southern Journal of Applied Forestry. 27: 269-278.
30 Benitez, J.Y. Rivero, M. Vidal A. et al., 2003. Estimación del diametro de copaa partir del diametro normal (d1.3) en plantaciones de Casuarina equisetifolia Forst. Invest Agrar: Sist RecurFor. 12(2): 37-41.
31 Biging, G.S. and Dobbertin, M., 1992. A comparison of distance-dependent competition measures for height and basal area growth of individual conifer trees. For Sci. 38: 695-720.
32 Bragg, D.C. 2001. A local basal area adjustment for crown width prediction. North J Appl For. 18: 22-28.
33 Cole, W. and Lorimer, C.G. 1994. Predicting tree growth from crown variables in managed Northern hardwood stands, For Ecol Manage. 67: 159-175.   DOI   ScienceOn
34 Daniels, R.F. and Burkhart, H.E. 1975. Simulation of individual tree growth and stand development in managed loblolly pine plantations. Pub1. FWS-5-75, College of Forestry and Wildlife Resources, Virginia Technical Institute, Blacksburg, 69pp.
35 Daniels, R.F. Burkhart, H.E. Spittle, G.D. and Somers, G.L. 1979. Methods for modeling individual tree growth and stand development in seeded loblolly pine stands. Publ. FWS-1-79, College of Forestry and Wildlife Resources, Virginia Technical Institute, Blacksburg, 50pp.
36 Gill, S.J. Biging, G.S. and Murphy, E.C. 2000. Modeling conifer tree crown radius and estimating canopy cover. For Ecol Manage. 126: 405-416.   DOI   ScienceOn
37 Gillespie, A.R. Allen, H.L. and Vose, J.M. 1994. Amount and vertical distribution of foliage of young loblolly pine trees as affected by canopy position and silviculture treatment. Can. J. For. Res. 24: 1337-1344.   DOI   ScienceOn
38 Habus, M.L. and Hann, D.W. 1998. Forest visualization user's manual edition 1.0. Oregon State University, Department of Forest Resources, Corvallis, Ore.