Uncertainty in Calculations of Net Primary Production for Grasslands

作者: W. K. Lauenroth , A. A. Wade , M. A. Williamson , B. E. Ross , S. Kumar

DOI: 10.1007/S10021-005-0072-Z

关键词: StatisticsStatistical errorEnvironmental scienceUncertainty analysisPrimary productivityEstimationPrimary productionData variabilityPropagation of uncertaintyMonte Carlo method

摘要: Net primary production (NPP) is a fundamental characteristic of all ecosystems and foundational to understanding the fluxes energy nutrients. Because NPP cannot be measured directly, researchers use field-measured surrogates as input variables in various equations designed estimate ‘true NPP’. This has led considerable debate concerning which most accurately influenced efforts assess grasslands, with often advocating more complex avoid underestimation. However, this approach ignores increase statistical error associated estimates greater number parameters mathematical functions are introduced into equation. Using published grassland data Monte Carlo simulation techniques, we assessed relative variability obtained using six different estimation that varied both intricacy operations. Our results indicated may result uncertainty without reducing probability The amount was by well nature For example, due belowground than aboveground data, tended have NPP. An analysis were standardized allowed us isolate details calculations from assessing propagation uncertainty. made clear product terms potential magnify inputs although relationship complicated interactions parameters. suggest can necessarily risk never tested comparison “true NPP”, recommend include an assessment when evaluating ‘best’ method.

参考文章(20)
William K. Lauenroth, Methods of Estimating Belowground Net Primary Production Springer, New York, NY. pp. 58- 71 ,(2000) , 10.1007/978-1-4612-1224-9_5
Osvaldo E. Sala, Amy T. Austin, Methods of Estimating Aboveground Net Primary Productivity Springer, New York, NY. pp. 31- 43 ,(2000) , 10.1007/978-1-4612-1224-9_3
O.E. Sala, M.E. Biondini, W.K. Lauenroth, Bias in estimates of primary production: An analytical solution Ecological Modelling. ,vol. 44, pp. 43- 55 ,(1988) , 10.1016/0304-3800(88)90081-6
Joyce A. Dickerman, Arthur J. Stewart, Robert G. Wetzel, Estimates of Net Annual Aboveground Production: Sensitivity to Sampling Frequency Ecology. ,vol. 67, pp. 650- 659 ,(1986) , 10.2307/1937689
Eugene P. Odum, Organic Production and Turnover in Old Field Succession Ecology. ,vol. 41, pp. 34- 49 ,(1960) , 10.2307/1931937
Fred S. Guthery, Kenneth P. Burnham, David R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach The Journal of Wildlife Management. ,vol. 67, pp. 655- ,(2003) , 10.2307/3802723
J. S. Singh, W. K. Lauenroth, R. K. Steinhorst, Review and assessment of various techniques for estimating net aerial primary production in grasslands from harvest data Botanical Review. ,vol. 41, pp. 181- 232 ,(1975) , 10.1007/BF02860829
R.H. Gardner, R.V. O'Neill, J.B. Mankin, J.H. Carney, A comparison of sensitivity analysis and error analysis based on a stream ecosystem model Ecological Modelling. ,vol. 12, pp. 173- 190 ,(1981) , 10.1016/0304-3800(81)90056-9