Stand density management diagrams and their development and utility in black spruce management
- 1 August 1993
- journal article
- Published by Canadian Institute of Forestry in The Forestry Chronicle
- Vol. 69 (4) , 421-430
- https://doi.org/10.5558/tfc69421-4
Abstract
A stand density management diagram for black spruce (Picea mariana (Mill.) B.S.P.) was developed using data derived from 49 0.081-ha permanent sample plots and 257 open-grown sample trees located throughout central insular Newfoundland. The diagram illustrated the reciprocal equation of the competition-density effect, self-thinning rule, approximate crown closure line, zone of imminent competition-mortality, and isolines for relative density, quadratic mean diameter and merchantability ratio. Mean prediction error for natural stand trajectories over a 30-projection period were 2.5 dm3 for mean volume, 306 stems/ha for density, 16.1 m3/ha for merchantable volume, 14.3 m3/ha for total volume, and 1.9 m2/ha for basal area. Implementation procedures using a combination of monoareal and polyareal sampling methods were described and the potential application of the diagram for evaluating thinning alternatives was demonstrated. Limitations of the diagram and future research directions were identified. Key words: stand density management diagram, black spruce, natural stands, central NewfoundlandKeywords
This publication has 6 references indexed in Scilit:
- Interactions between three species of mushroom cecids (Diptera: Cecidomyiidae) and three hybrid strains of the cultivated mushroom Agaricus bisporusAustralian Journal of Agricultural Research, 1995
- Reformulated self-thinning exponents as applied to black spruceCanadian Journal of Forest Research, 1990
- A Reevaluation of the ‐3/2 Power Rule of Plant Self‐ThinningEcological Monographs, 1987
- A growth model based on the self-thinning ruleCanadian Journal of Forest Research, 1986
- A Practical Approach to Density ManagementThe Forestry Chronicle, 1985
- On Artificial Parthenogenesis of the Sea-Urchin EggScience, 1909