文献类型：期刊文献

英文题名：Modeling stand mortality using Poisson mixture models with mixed-effects

作者：Zhang, Xiong-Qing[1] Lei, Yuan-Cai[2] Liu, Xian-Zhao[2]

第一作者：张雄清

通信作者：Zhang, XQ[1]

机构：[1]Chinese Acad Forestry, State Forestry Adm, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

年份：2015

卷号：8

起止页码：333-338

外文期刊名：IFOREST-BIOGEOSCIENCES AND FORESTRY

收录：;Scopus(收录号：2-s2.0-84929308653);WOS:【SCI-EXPANDED(收录号:WOS:000358963900002)】；

基金：This work was carried out within the frame of the following projects: the Chinese State "TWELVE FIVE" Science and Technology Project (No. 2012BAD22B0201), and the "863" program from the Ministry of Science and Technology of China (No. 2012AA12A306). The authors are grateful to two anonymous reviewers for their valuable suggestions and comments on an earlier version of the manuscript.

语种：英文

外文关键词：Hurdle Models; Mixed Models; Poisson Models; Stand Mortality; Zero Inflated Model

摘要：Stand mortality models play an important role in simulating stand dynamic processes. Periodic stand mortality data from permanent plots tend to be dispersed, and frequently contain an excess of zero counts. Such data have commonly been analyzed using the Poisson distribution and Poisson mixture models, such as the zero-inflated Poisson model (ZIP), and the Hurdle Poisson model (HP). Based on mortality data obtained from sixty Chinese pine (Pinus tabulaeformis) permanent plots near Beijing, we added the random-effects to the Poisson mixture models. Results showed that the random-effects in the ZIP model was not convergent, and HP mixed-effects model performed better in modeling stand mortality than the Poisson fixed-effects model, the Poisson mixed-effects model, the ZIP fixed-effects model and the HP fixed-effects model. Moreover, the HP model accounts for two sources of dispersion, the first accounting for extra zeros and the second accounting to some extent for the dispersion due by individual heterogeneity in the positive set. We also found that stand mortality was negatively related to stand arithmetic mean diameter and positively related to dominant height.