Dynamic Model for Caragana korshinskii Shrub Aboveground Biomass Based on Theoretical and Allometric Growth Equations

As one of the ways to achieve carbon neutralization, shrub biomass plays an important role for natural resource management decision making in arid regions. To investigate dynamic variations Caragana korshinskii, a typical found desert area Ningxia, northwest China, we combined nonlinear simultaneous (NLS) equation system with theoretical growth (TG) and allometric (AG) equations. On basis large survey dataset analytical data stems, four methods (NOLS, NSUR, 2SLS, 3SLS) NLS equations were TG AG A model was subsequently established predict AGB C. korshinskii. The absolute mean residual (AMR), root error (RMSE), adjusted determination coefficient (adj-R2) used evaluate performance Results revealed that NSUR method had better than other independent BD H AGB. Additionally, exhibited extremely significant differences (p < 0.0001) when compared without heteroscedasticity on likelihood ratio (LR) test, which power function (PF) as variance function. efficient predicting by combining could estimate storage shrubs accurately, stand productivity sequestration capacity.