A stand dynamic model for red pine plantations with different initial densities |
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| Authors: | Shusheng Li Qingyu Hao Edwin Swift Charles P-A Bourque Fan-Rui Meng |
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| Institution: | (1) School of Forestry, Northeast Forestry University, 150040 Harbin, People’s Republic of China;(2) School of Life Science, Hainan Normal University, 571158 Haikou, People’s Republic of China;(3) Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, P.O. Box 4000, Regent Street, Fredericton, NB, E3B 5P7, Canada;(4) Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, E3B 6C2, Canada; |
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| Abstract: | A stand dynamic model was developed to predict the growth response in even-aged forest plantations of different initial planting
densities. The model is based on the integration of three subcomponents: height growth, self-thinning, and diameter increment.
The integrated model uses the height of dominant trees to simulate stand response to site quality and internal growth potential.
An extended self-thinning submodel is used to simulate mortality in stands due to crowding and inter-tree competition. A diameter
increment submodel is used to link the height growth and self-thinning submodels. The height growth submodel is based on an
application of the “Pipe Model” theory. The three-parameter self-thinning submodel is developed from an extended self-thinning
law that captures self-thinning in stands before they attain full stocking. The diameter increment model is based on the assumption
that diameter increment is related to height growth and available growing space described by stand density. The integrated
model is applied to data collected from a 45-year-old red pine (Pinus resinosa Ait.) plantation subsectioned with different initial planting densities. For the data used, only two parameters were required
to capture 99% of measured variation in height growth. Additional data from sites with different planting intensities are
required to formulate a more generalized height growth model. The slope of the linear self-thinning limit for red pine is
approximately −1.5. Model predictions are consistent with field measurements. |
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