Predicting tree recruitment with negative binomial mixture models

Forest Ecology and Management

Volumn 270, Issue , 2012, Pages 209-215

  Zhang, Xiongqing ^a   Lei, Yuancai ^a   Cai, Daoxiong ^a   Liu, Fengqiang ^b  

^a RESEARCH INSTITUTE OF FORESTRY   (China)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Chinese pine; Hurdle negative binomial model; Negative binomial model; Tree recruitment; Zero inflated negative binomial model

Indexed keywords

BEST MODEL; CHINESE PINE; COUNT DATA MODELS; LOGISTIC FUNCTIONS; MIXTURE MODEL; MODEL COMPARISON; NEGATIVE BINOMIAL; PERMANENT PLOT; PINUS TABULAEFORMIS; POISSON MODEL; RECRUITMENT MODELS; STAND DYNAMICS; TREE RECRUITMENT; TWO EQUATION; ZERO COUNT;

EMPLOYMENT; FORECASTING; FORESTRY;

TREES (MATHEMATICS);

CONIFEROUS TREE; DATA SET; DISPERSION; NUMERICAL MODEL; POPULATION MODELING; PREDICTION; RECRUITMENT (POPULATION DYNAMICS); STAND DYNAMICS;

DATA PROCESSING; EMPLOYMENT; FORECASTS; FORESTRY; MATHEMATICAL MODELS; PINUS; TREES;

BEIJING [CHINA]; CHINA;

PINUS TABULIFORMIS;

EID: 84862807136     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2012.01.028     Document Type: Article

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