Bias and random errors in estimators of net root production: A simulation approach

Abstract

Simulation of net primary production in a grassland and subsequent calculations of belowground net production revealed substantial sources of error that may be common to all estimates of belowground net production from field data. Inherent bias in the most frequently used estimators and a large counterintuitive effect of sample variability require that techniques be carefully considered before conclusions are drawn based upon estimates of belowground net production.