Abstract
Field windbreaks have the potential of sequestering large amounts of carbon. Predicting how much carbon would be sequestered in a newly planted windbreak after ten or more years is of interest. The amount of carbon in a tree depends on its biomass. In a pilot study of Nebraska windbreaks, a Markov random field was used to predict the biomass of green ash in windbreaks as a function of soil and climate conditions. The spatial dependence parameter was significantly different from zero, indicating the presence of small scale variation. In addition to age, the 30 year average summer precipitation and the windbreak growth condition code were included in the final model. Future directions for improving the model are discussed.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Hou, Qingjiang; Young, Linda J.; Brandle, James R.; and Schoeneberger, Michele M.
(2002).
"SPATIAL MODELING OF BIOMASS IN NEBRASKA WINDBREAKS,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1210
SPATIAL MODELING OF BIOMASS IN NEBRASKA WINDBREAKS
Field windbreaks have the potential of sequestering large amounts of carbon. Predicting how much carbon would be sequestered in a newly planted windbreak after ten or more years is of interest. The amount of carbon in a tree depends on its biomass. In a pilot study of Nebraska windbreaks, a Markov random field was used to predict the biomass of green ash in windbreaks as a function of soil and climate conditions. The spatial dependence parameter was significantly different from zero, indicating the presence of small scale variation. In addition to age, the 30 year average summer precipitation and the windbreak growth condition code were included in the final model. Future directions for improving the model are discussed.
