Tree Recruitment Model of Larix olgensis / 长白落叶松林分进界模型的研究

• Published in: Forest research (Beijing) Vol. 26; no. 5; p. 554
• Main Authors: 雷渊才, 张雄清
• Format: Journal Article
• Language: Chinese
• Published: Beijing Chinese Academy of Forestry 01.01.2013
• Subjects: Recruitment
• ISSN: 1001-1498

Tree recruitment model play an important role in simulating stand dynamic processes. Considering the fact that in permanent sample plots some of the plots have no occurrences of recruitment even over periods of several years, it means that data are bounded and characteristically exhibit varying degrees of dispersion and skewness in relation to the mean. Additionally, the data often contain an excess number of zero counts. If least squares method is still used to deal with the data with large proportion of zero counts, the estimated results will be biased. Based on the data from permanent plots of Larix olgensis in Wangqing Forest Farm, Poisson model, negative binomial model, zero-inflated models and Hurdle models were used to analyze tree recruitment. The best model was chosen according to the AIC value, Pearson residual plot and Vuong test. The results showed that Poisson model was not suitable for recruitment, and negative binomial was superior to the Poisson model. But both of them were not competent for t