Chapter

Quantifying Uncertainty in Net Primary Production Measurements

Mark E. Harmon, Donald L. Phillips, John J. Battles, Andrew Rassweiler, Robert O. Hall Jr. and William K. Lauenroth

in Principles and Standards for Measuring Primary Production

Published in print August 2007 | ISBN: 9780195168662
Published online September 2007 | e-ISBN: 9780199790128 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195168662.003.0012

Series: The Long-Term Ecological Research Network Series

 						Quantifying Uncertainty in Net Primary Production Measurements

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Because primary production usually is estimated from several variables that are themselves subject to error in measurement, these errors propagate as the variables are combined mathematically. Following a brief overview of the various sources of error and bias associated with primary production measurements, this chapter provides a detailed description of approaches for quantifying propagation of error in productivity calculations. Monte Carlo simulation approaches are described and the problem of compounding of errors are examined. Several explicit examples are provided to illustrate uncertainty quantification in a variety of biomes.

Keywords: Monte Carlo simulation; error propagation; compounding error; measurement error; bias

Chapter.  8707 words.  Illustrated.

Subjects: Animal Pathology and Diseases

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