Version 1
: Received: 1 June 2021 / Approved: 3 June 2021 / Online: 3 June 2021 (11:26:41 CEST)
How to cite:
Hao, H.; Zhang, J.; Miao, F.; Wu, S. Research on Compatibility of Three Models Based on Combination Prediction of Pinus tabulaeformis Area. Preprints2021, 2021060101
Hao, H.; Zhang, J.; Miao, F.; Wu, S. Research on Compatibility of Three Models Based on Combination Prediction of Pinus tabulaeformis Area. Preprints 2021, 2021060101
Hao, H.; Zhang, J.; Miao, F.; Wu, S. Research on Compatibility of Three Models Based on Combination Prediction of Pinus tabulaeformis Area. Preprints2021, 2021060101
APA Style
Hao, H., Zhang, J., Miao, F., & Wu, S. (2021). Research on Compatibility of Three Models Based on Combination Prediction of Pinus tabulaeformis Area. Preprints. https://doi.org/
Chicago/Turabian Style
Hao, H., Fan Miao and Songping Wu. 2021 "Research on Compatibility of Three Models Based on Combination Prediction of Pinus tabulaeformis Area" Preprints. https://doi.org/
Abstract
The study of the area model of Pinus tabulaeformis forest provides an important reference for improving the management of Pinus tabulaeformis and revealing the growth law of Pinus tabulaeformis. According to the classification method proposed by Munro, stand growth and harvest prediction models are divided into three categories: full stand model, single wood model and diameter distribution model. Based on the fixed sample data of Shangluo Pinus tabulaeformis, the spatial instead of time method is used to process the data, and the weight coefficient of each model in the combined prediction model is calculated by using the optimal weighting method. The single wood model, the whole forest model and the diameter distribution model are combined by the combined prediction method to integrate the fault area prediction of Pinus tabulaeformis forest. The results show that the combined prediction method is more accurate than the single model (single wood model, whole forest model and diameter distribution model). At the same time, the method can improve the compatibility of the forest break area prediction model, ensure the consistency of the forest break area prediction, and provide a new direction for the research of forest resource monitoring and investigation.
Keywords
Pinus tabulaeformis; Space instead of time; stand area; compatibility; combination prediction method
Subject
Biology and Life Sciences, Forestry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
