Abstract: Boundary line models for N2O emissions from agricultural soils provide a means of estimating emissions within defined ranges. Boundary line models partition a two-dimensional region of parameter space into sub-regions by means of thresholds based on relationships between N2O emissions and explanatory variables, typically using soil data available from laboratory or field studies. Such models are intermediate in complexity between the use of IPCC emission factors and complex process-based models. Model calibration involves characterizing the extent to which observed data are correctly forecast. Writing the numerical results from graphical two-threshold boundary line models as 3×3 prediction-realization tables facilitates calculation of expected mutual information, a measure of the amount of information about the observations contained in the forecasts. Whereas mutual information characterizes the performance of a forecaster averaged over all forecast categories, specific information and relative entropy both characterize aspects of the amount of information contained in particular forecasts. We calculate and interpret these information quantities for experimental N2O emissions data.
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Topp, C.F.; Wang, W.; Cloy, J.M.; Rees, R.M.; Hughes, G. Information Properties of Boundary Line Models for N2O Emissions from Agricultural Soils. Entropy 2013, 15, 972-987.
Topp CF, Wang W, Cloy JM, Rees RM, Hughes G. Information Properties of Boundary Line Models for N2O Emissions from Agricultural Soils. Entropy. 2013; 15(3):972-987.
Topp, Cairistiona F.; Wang, Weijin; Cloy, Joanna M.; Rees, Robert M.; Hughes, Gareth. 2013. "Information Properties of Boundary Line Models for N2O Emissions from Agricultural Soils." Entropy 15, no. 3: 972-987.