A method for quantifying vertical forest structure

Forest Ecology and Management

Volumn 104, Issue 1-3, 1998, Pages 157-170

  Latham, Penelope A ^a   Zuuring, Hans R ^a   Coble, Dean W ^a  

^a UNIVERSITY OF MONTANA   (United States)

Author keywords

Competition; Ecosystem management; Forest structure; Gini coefficient; Overstory diversity; Shannon Wiener diversity index; Size inequality; Vertical stratification

Indexed keywords

CANOPY; FOREST STRUCTURE; UNDERSTOREY; VERTICAL STRUCTURE;

USA, (NORTHWEST);

EID: 0031897951     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-1127(97)00254-5     Document Type: Article

References (48)

1. Alaback P.B. Dynamics of understory biomass in Sitka spruce-western hemlock forests of Southeast Alaska. Ecology. 63:1982;1932-1948.
2. Alaback P.B., Juday G.P. Structure and composition of low elevation old-growth forests in research natural areas of Southeast Alaska. Natural Areas J. 9:1989;27-39.
3. Anderson R.C., Loucks O.L., Swain A.M. Herbaceous response to canopy cover, light intensity, and throughfall precipitation in coniferous forests. Ecology. 50:1969;255-263.
4. Arbaugh, M.J., Peterson, D.L., 1993. Stemwood production patterns in ponderosa pine: effects of stand dynamics and other factors. USDA Forest Service Research Paper, PSW-RP-217. Pacific Southwest Research Station, Albany, CA, pp. 11.
5. Ballaré C.L., Scopel A.L., Sánchez R.A. Far-red radiation reflected from adjacent leaves: an early signal of competition in plant canopies. Science. 247:1990;329-332.
6. Biging G.S., Dobbertin M. Evaluation of competition indices in individual tree growth models. Forest Sci. 41:1995;360-377.
7. Bradshaw G.A., Spies T.A. Characterizing canopy gap structure in forests using wavelet analysis. J. Ecol. 80:1992;205-215.
8. Caldwell, M.M., 1987. Plant architecture and resource competition. In: Schulze, E.D., Zwölfer, H. (Eds.), Potentials and Limitations of Ecosystem Analysis. Springer-Verlag, Berlin Heidelberg, pp. 164-179.
9. Cannell M.G.R., Grace J. Competition for light: detection, measurement, and quantification. Can. J. Forest Res. 23:1993;1969-1979.
10. Dillon, W.R., Goldstein, M., 1984. Multivariate Analysis: Methods and Applications. Wiley, New York, pp. 587.
11. Dixon P.M., Weiner J., Mitchell-Olds T., Woodley R. Bootstrapping the Gini coefficient of inequality. Ecology. 68:1987;1548-1551.
12. Eyre, F.H., 1980. Forest cover types of the United States and Canada. Society of American Foresters, Washington, DC, pp. 148.
13. Harcombe P.A., Marks P.L. Understory structure of a mesic forest in southeast Texas. Ecology. 58:1977;1144-1151.
14. Hunter, M.L., 1990. Wildlife, forests, and forestry. Prentice-Hall, Englewood Cliffs, pp. 370.
15. Hutchings, M.J., de Kroon, H., 1994. Foraging in plants: the role of morphological plasticity in resource acquisition. In: Begon, M., Fitter, A.H. (Eds.), Advances in Ecological Research, Vol. 27. Academic Press, San Diego, CA, pp. 159-236.
16. Keane, R.E., Long, D.G., Menakis, J.P., Hann, W.J., Bevins, C.D., 1996. Simulating coarse-scale vegetation dynamics using the Columbia River Succession Model-CRBSUM. USDA Forest Service General Technical Report, INT-GTR-340. Intermountain Research Station, Ogden, pp. 50.
17. Kimmins, J.P., 1987. Forest Ecology. Macmillan Publishing, New York, pp. 155.
18. Koopmans, L.H., 1987. Introduction to Contemporary Statistical Methods. Duxbury Press, Boston, pp. 683.
19. Kwesiga F.R., Grace J. The role of red/far-red ratio in the response of tropical tree seedlings to shade. Ann. of Botany. 57:1986;283-290.
20. Latham, P.A., 1996. A process-related quantification of forest structure and understory diversity in inland northwest forests: from stands to landscapes. PhD dissertation. University of Montana, Missoula, pp. 245.
21. Ludwig, J.A., Reynolds, J.F., 1988. Statistical Ecology. Wiley, New York, pp. 337.
22. Maguire D.A., Bennett W.S. Patterns in vertical distribution of foliage in young coastal Douglas-fir. Can. J. Forest Res. 26:1996;1991-2005.
23. Magurran, A.E., 1988. Ecological Diversity and its Measurement. Princeton University Press, Princeton, pp. 179.
24. McCune, B., 1993. Multivariate Analysis on the PC-ORD system. Oregon State University, Corvallis.
25. Milner, K., Coble, D.W., 1995. A mechanistic approach to predicting the growth and yield of stands with complex structures. In: O'Hara, K.L. (Ed.), Uneven-aged Management: Opportunities, Constraints, and Methodologies. School of Forestry, University of Montana, Missoula, MT, pp. 144-166.
26. Morrison, M.L., Marcot, B.G., Mannan, R.W., 1992. Wildlife-habitat Relationships. University of Wisconsin Press, Madison, pp. 343.
27. O'Hara K.L. Stand structure and growing space efficiency following thinning in an even-aged Douglas-fir stand. Can. J. Forest Res. 18:1988;859-866.
28. O'Hara K.L. Stand growth efficiency in a Douglas-fir thinning trial. Forestry. 62:1989;409-418.
29. O'Hara, K.L., 1996. Dynamics and stocking-level relationships of multi-aged ponderosa pine stands. Forest Science (Suppl. 42) Monograph 33, pp. 1-34.
30. O'Hara, K.L., Latham, P.A., Valappil, N., 1995. Parameters for describing stand structure. In: Skovsgaard, J.P., Burkhart, H.E. (Eds.), Recent Advances in Forest Mensuration and Growth and Yield Research. Ministry of Environment and Energy, Danish Forest and Landscape Research Institute, Hørsholm, Denmark, pp. 134-145.
31. O'Hara K.L., Latham P.A., Hessburg P., Smith B.G. A structural classification for inland northwest forest vegetation. Western J. App. Forestry. 11:1996;97-102.
32. Oliver C.D. Forest development in North America following major disturbances. Forest Ecol. Manage. 3:1981;153-168.
33. Oliver, C.D., 1992. Similarities of stand structures and stand development processes throughout the world - some evidence and applications to silviculture through adaptive management. In: Kelty, M.J. (Ed.), The Ecology and Silviculture of Mixed-Species Forests. Klüwer Academic Publishers, Netherlands, pp. 11-26.
34. Oliver, C.D., Larson, B.C., 1996. Forest Stand Dynamics, update edn. Wiley, New York, pp. 520.
35. Perry, D.A., 1994. Forest Ecosystems. Johns Hopkins University Press, Baltimore, pp. 649.
36. Ryan, M.G., Binkley, D., Fownes, J.H., 1997. Age-related decline in forest productivity: pattern and process. In: Began, M., Fitter, A.H. (Eds.), Advances in Ecological Research, Vol. 27. Academic Press, San Diego, CA, pp. 213-261.
37. Smith F.W., Long J.N. The influence of canopy architecture on stemwood production and growth efficiency of Pinus contorta var. latifolia. J. Appl. Ecol. 26:1989;681-691.
38. Sokal, R.R., Rohlf, F.J., 1981. Biometry. W.H. Freeman, New York, pp. 859.
39. Stage, A.R., 1973. Prognosis model for stand development, Research Report, INT-RP-137. USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, pp. 32.
40. Stage, A.R., Hatch, C.R., Rice, T.M., Renner, D.L., Korol, J.J., 1996. Calibrating a forest succession model with a single-tree growth model - an exercise in meta-modelling. In: Proceedings from 3 sessions of Subject Group S4.01 Mensuration, Growth, and Yield at the 20th World Congress of IUFRO held in Tampere, Finland, 6-12 August 1995, pp. 194-209.
41. Stewart G.H. The influence of canopy cover on understorey development in forests of the western Cascade Range, Oregon, USA. VEGETATIO. 76:1988;79-88.
42. Tamai S. Studies on the stand structure and light climate (II): methods of investigating the sunfleck on the forest floor (1). Bull. Kyoto University Forests. 48:1976;69-79.
43. Tilman, D., 1988. Plant Strategies and the Dynamics and Structure of Plant Communities. Princeton University Press, Princeton, New Jersey, pp. 360.
44. U.S. Department of Agriculture, Forest Service, 1996. Status of the interior Columbia basin: summary of scientific findings. General Technical Report, PNW-GTR-385. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, U.S. Department of the Interior, Bureau of Land Management, pp. 144.
45. Waring, R.H., Schlesinger, W.H., 1985. Forest Ecosystems: Concepts and Management. Academic Press, Orlando, FL, pp. 340.
46. Weiner J., Solbrig O.T. The meaning and measurement of size hierarchies in plant populations. Oecologia. 61:1984;334-336. Berlin.
47. Wilkinson, L., Hill, M.A., Welna, J.P., Birkenbeuel, G.K., 1992. SYSTAT for Windows SYSTAT, Evanston.
48. Wykoff, W.R., Crookston, N.L., Stage, A.R., 1982. User's guide to the stand prognosis model. USDA Forest Service General Technical Report, INT-GTR-133, Intermountain Research Station, Ogden, pp. 112.