Simultaneous estimation as alternative to independent modeling of tree biomass
Simultaneous estimation as alternative to independent modeling of tree biomass
复制标题
DOI：
10.1007/s13595-015-0497-2
复制
发表时间：
2015-07
影响因子：
3
通讯作者：
C. Sanquetta;A. Behling;A. Corte;Sylvio Péllico Netto;A. B. Schikowski;M. K. Amaral
中科院分区：
文献类型：
--
作者：
C. Sanquetta;A. Behling;A. Corte;Sylvio Péllico Netto;A. B. Schikowski;M. K. Amaral
Key messageIn this paper it is shown that a simultaneous adjustment provides more efficient estimates of total tree biomass than with independent modelling for biomass estimates by compartments (canopy, bole and roots).ContextWhen modeling tree biomass, it is important to consider the additivity property, since the total tree biomass must be equal to the sum of the biomass of the components.ObjectiveThe aim of this study was to assess the simultaneous estimation performance, considering the additivity principle with respect to independent estimate when modeling biomass components and total biomass.MethodsIndividual modeling of total biomass and biomass components of leaves, branches, bole without bark, bole bark, and roots was performed onPinus elliottiiEngelm trees derived from forest stands in southern Brazil. Five nonlinear models were tested, and the best performance for estimating the total biomass of each component was selected, characterizing the independent estimation. The models selected for each component were fitted using the nonlinear seemingly unrelated regression method, which characterizes simultaneous estimation.ResultsIndependent fitting of coefficients for biomass components and total biomass was not satisfactory, as the sum of the biomass component estimates diverged from the total biomass. This was not observed when the simultaneous fitting was used, which takes into account the additivity principle, and resulted in more effective estimators.ConclusionThe simultaneous estimation method must be used in modeling tree biomass.
