Model errors in tree biomass estimates computed with an approximation to a missing covariance matrix.

摘要: Biomass and carbon estimation has become a priority in national regional forest inventories. of individual trees is estimated using biomass equations. A covariance matrix for the parameters equation needed computation an estimate model error tree level biomass. Unfortunately, many equations do not provide key statistics direct errors. This study proposes three new procedures recovering missing from available estimates coefficient determination sample size. They are complementary to recently published computationally intensive Monte Carlo approach. Our recovery approach use survey data population targeted Examples Germany Mexico illustrate validate methods. Applications with robust recovered fit gave reasonable errors It good practice uncertainty any model-dependent above ground When impossible due statistics, proposed procedure first step practice. recommended offers protection against inflated precision.