Using measurement error modeling method to establish compatible single-tree biomass equations system

Forest Research

Volumn 23, Issue 6, 2010, Pages 797-802

  Zeng, Wei Sheng ^a   Tang, Shou Zheng ^a  

^a RESEARCH INSTITUTE OF FORESTRY   (China)

Author keywords

Above ground biomass; Compatibility; Error in variable model; Masson pine; Mean prediction error; Single tree biomass

Indexed keywords

ABOVEGROUND BIOMASS; CONIFEROUS TREE; ECOLOGICAL MODELING; ERROR ANALYSIS; NUMERICAL MODEL; STEM;

CHINA;

PINUS MASSONIANA;

EID: 79551545348     PISSN: 10011498     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Tomppo E, Gschwantner T, Lawrence M, et al.. National Forest Inventories: Pathways for Common Reporting [M]. Springer, New York, 2010
2. Jenkins J C, Chojnacky D C, Heath LS, et al.. National-scale biomass estimators for United States tree species [J]. For Sci, 2003, 49 (1): 12-35
3. FAO. Global Forest Resources Assessment 2005 : Progress Towards Sustainable Forest Management. FAO Forestry Paper 147[R]. Food and Agriculture Organization of the United Nations, Rome, 2006
4. Parresol B R. Additivity of nonlinear biomass equations [J]. Can J For Res, 2001, 31: 865-878
5. Bi H, Turner J, Lambert M J. Additive biomass equations for native eucalypt forest trees of temperate Australia [J]. Trees, 2004, 18 : 467-479
6. Tang SZ, Li Y, Wang Y H. Simultaneous equations, error-in-variable models, and model integration in systems ecology[J]. Ecological Modelling, 2001, 142: 285-294
7. Tang S Z, Wang Y H. A parameter estimation program for the errorin-variable model[J]. Ecological Modelling, 2002, 156: 225-236
8. Parresol B R. Assessing Tree and Stand Biomass: A Review with Examples and, Critical Comparisons[J]. For Sci, 1999, 45 (4) : 573-593