Intertree competition in uneven-aged ponderosa pine stands

Canadian Journal of Forest Research

Volumn 33, Issue 9, 2003, Pages 1719-1726

  Woodall, C W ^a   Fiedler, C E ^b   Milner, K S ^b  

^a USDA FOREST SERVICE   (United States)

^b UNIVERSITY OF MONTANA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION; CORRELATION METHODS; GROWTH KINETICS; SIZE DETERMINATION;

TREE SIZE; TREE STANDS;

FORESTRY;

AGE STRUCTURE; BASAL AREA; CONIFEROUS FOREST; DIAMETER; GROWTH RATE; INTRASPECIFIC COMPETITION;

MONTANA; NORTH AMERICA; UNITED STATES;

PINUS PONDEROSA; PINUS PONDEROSA VAR. SCOPULORUM;

EID: 0344065106     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/x03-096     Document Type: Article

References (37)

1. Arno, S.F. 1979. Forest regions of Montana. USDA For. Serv. Res. Pap. INT-218.
2. Assman, E. 1970. Growth and yield study. Pergamon Press, New York.
3. Bella, I.E. 1971. A new competition model for individual trees. For. Sci. 17: 364-372.
4. 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.
5. Biging, G.S., and Dobbertin, M. 1995. Evaluation of competition indices in individual tree growth models. For. Sci. 41: 360-377.
6. Blondi, F. 1996. Decadal-scale dynamics at the Gus Pearson Natural Area: evidence for inverse (a)symmetric competition? Can. J. For. Res. 26: 1397-1406.
7. Coyea, M.R., and Margolis, H.A. 1994. Historical reconstruction of growth efficiency and its relationship to tree mortality in balsam fir ecosystems affected by spruce budworm. Can. J. For. Res. 24: 2208-2221.
8. Daniels, R.F. 1976. Simple competition indices and their correlation with annual loblolly pine tree growth. For. Sci. 22: 454-456.
9. Daniels, R.F., Burkhart, H.E., and Clason, T.R. 1986. A comparison of competition measures for predicting growth of loblolly pine trees. Can. J. For. Res. 16: 1230-1237.
10. Gilmore, D.W., and Seymour, R.S. 1996 Alternative measures of stem growth-efficiency in central Maine, USA. For. Ecol. Manage. 84: 209-218.
11. Hökkä, H., and Groot, A. 1999. An individual tree basal area growth model for black spruce in second-growth peatland stands. Can. J. For. Res. 29: 621-629.
12. Kaufman, M.R., and Ryan, M.G. 1986. Physiographic, stand, and environmental effects on individual tree growth efficiency in subalpine forests. Tree Physiol. 2: 47-59.
13. Long, J.N., and Dean, T.J. 1986. Sapwood area of Pinus contorta stands as a function of mean size and density. Oecologia, 68: 410-412.
14. Lorimer, C.G. 1983. Tests of age-independent competition indices for individual trees in natural hardwood stands. For. Ecol. Manage. 6: 343-360.
15. Maguire, D.A., Brissette, J.C., and Gu, L. 1998. Crown structure and growth efficiency of red spruce in uneven-aged, mixed species stands in Maine. Can J. For. Res. 28: 1233-1240.
16. Martin, G.L. 1982. Estimation of individual tree competition from horizontal point sample data. For. Sci. 28: 45-48.
17. Martin, G.L., and Ek, A.R. 1984. A comparison of competition measures and growth models for predicting plantation red pine diameter and height growth. For. Sci. 30: 731-743.
18. Newton, P.F., and Jolliffe, P.A. 1998. Assessing processes of intraspecific competition within spatially heterogeneous black spruce stands. Can. J. For. Res. 28: 2159-275.
19. O'Brien, R.A., and Collins, D.C. 1991a. Forest statistics for land outside national forests in west-central Montana. USDA For. Serv. Res. Bull. INT-72.
20. O'Brien, R.A., and Conner, R.C. 1991b. Forest statistics for land outside national forests in eastern Montana. USDA For. Serv. Res. Bull. INT-71.
21. O'Hara, K.L. 1996. Dynamics and stocking-level relationships of multi-aged ponderosa pine stands. For. Sci. Monogr. 33.
22. Opie, J.E. 1968. Predictability of individual tree growth using various definitions of competing basal area. For. Sci. 14: 314-323.
23. Penner, M., and DeBlonde, G. 1996. The relationship between leaf area and basal area growth in jack pine and red pine trees. For. Chron. 72: 170-175.
24. Pfister, R.D., Kovalchik, B.L., Arno, S.F., and Presby, R.C. 1977. Forest habitat types of Montana. USDA For. Serv. Gen. Tech. Rep. INT-34.
25. Ryan, M.G. 1989. Sapwood volume for three subalpine conifers: predictive equations and ecological implications. Can. J. For. Res. 19: 1397-1401.
26. Schreuder, H.T., and Williams, M.S. 1995. Assessing measures of tree competition using fixed-area, variable-radius, and horizontal plot sampling. Can. J. For. Res. 25: 1578-1582.
27. Smith, F.W., and Long, J.N. 1989. The influence of canopy architecture on stemwood production and growth efficiency of Pinus contorta var. latifolia. J. Appl. Ecol. 26: 681-691.
28. Smith, D.M., Larson, B.C., Kelty, M.J., and Ashton, P.M.S. 1997. The practice of silviculture. 9th ed. Wiley, New York.
29. Stoll, P., Weiner, J., and Schmid, B. 1994. Growth variation in a naturally established population of Pinus sylvestris. Ecology, 75: 660-670.
30. Tome, M., and Burkhart, H.E. 1989. Distance dependent competition measures for predicting growth of individual trees. For. Sci. 35: 816-831.
31. Waring, R.H. 1983. Estimating forest growth and efficiency in relation to canopy leaf area. Adv. Ecol. Res. 13: 327-354.
32. Waring, R.H., and Schlesinger, W.H. 1985. Forest ecosystems: concepts and management. Academic Press, New York.
33. Waring, R.H., Schroeder, P.E., and Oren, R. 1982. Application of the pipe model theory to predict canopy leaf area. Can. J. For. Res. 12: 556-560.
34. Weiner, J. 1990. Asymmetric competition in plant populations. Trends Ecol. Evol. 5: 360-364.
35. Woodall, C.W. 2000. The growth and structural dynamics of uneven-aged ponderosa pine stands in eastern Montana. Ph.D. dissertation, University of Montana, Missoula, Mont.
36. Wykoff, W.R., Crookston, N.L., and Stage, A.R. 1982. User's guide to the Stand Prognosis Model. USDA For. Serv. Gen. Tech. Rep. INT-133.
37. Yoder, B.J., Ryan, M.G., Waring, R.H., Shoettle, A.W., and Kaufman, M.R. 1994. Evidence of reduced photosynthetic rates in old trees. For. Sci. 40: 513-527.