Model of growth and nitrogen demand in a loblolly pine plantation
Technical Report
·
OSTI ID:5304167
A model to predict the growth of loblolly pine, Pinus taeda L, is described. The model is based on the known physiological and morphological characteristics of loblolly pine. It was developed to predict the annual growth and nitrogen demand of a pine plantation as affected by light, temperature, water stress, and nitrogen availability. The predictions are to be used to evaluate the effects of silvicultural practices, such as thinning, removal of red pine straw from the forest floor, or addition of nutrient amendments such as fertilizer or sewage sludge. While the predictions of the model are for annual increments of growth and nitrogen use, the basic time step of the model is one day in order to integrate the effect of climate on the growth and nitrogen cycle. The values for tree physiology used in the model were derived from the literature. The values of the parameters used to allocate growth to various parts of the trees were determined by balancing the transfer coefficients to duplicate the growth pattern of a single pine stand where detailed growth information was available. The sensitivity of the growth prediction by the model was determined for changing nitrogen availability. Further testing of the model awaits the collection of data from experiments now in progress.
- Research Organization:
- Du Pont de Nemours (E.I.) and Co., Aiken, SC (USA). Savannah River Lab.
- DOE Contract Number:
- AC09-76SR00001
- OSTI ID:
- 5304167
- Report Number(s):
- DP-1624; ON: DE82018328
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
510100* -- Environment
Terrestrial-- Basic Studies-- (-1989)
54 ENVIRONMENTAL SCIENCES
CHEMICAL REACTIONS
COMPUTER CODES
CONIFERS
ELEMENTS
FERTILIZATION
GROWTH
MATHEMATICAL MODELS
NITROGEN
NONMETALS
PHOTOCHEMICAL REACTIONS
PHOTOSYNTHESIS
PHYSIOLOGY
PINES
PLANT GROWTH
PLANTS
RESPONSE MODIFYING FACTORS
SYNTHESIS
TREES
Terrestrial-- Basic Studies-- (-1989)
54 ENVIRONMENTAL SCIENCES
CHEMICAL REACTIONS
COMPUTER CODES
CONIFERS
ELEMENTS
FERTILIZATION
GROWTH
MATHEMATICAL MODELS
NITROGEN
NONMETALS
PHOTOCHEMICAL REACTIONS
PHOTOSYNTHESIS
PHYSIOLOGY
PINES
PLANT GROWTH
PLANTS
RESPONSE MODIFYING FACTORS
SYNTHESIS
TREES