Information Properties of Boundary Line Models for N2O Emissions from Agricultural Soils
Information Properties of Boundary Line Models for N2O Emissions from Agricultural Soils
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DOI：
10.3390/e15030972
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发表时间：
2013-03
期刊：
影响因子：
2.7
通讯作者：
C. Topp;Weijin Wang;J. Cloy;R. Rees;Gareth Hughes
中科院分区：
文献类型：
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作者：
C. Topp;Weijin Wang;J. Cloy;R. Rees;Gareth Hughes
农业土壤N2O排放量的边界线模型提供了一种在规定范围内估算排放量的手段。边界线模型根据N2O排放量与解释变量之间的关系，通常使用实验室或实地研究提供的土壤数据，通过阈值将参数空间的二维区域划分为子区域。这类模型的复杂程度介于使用气专委排放系数和复杂的基于过程的模型之间。模型校准涉及表征观测数据被正确预测的程度。将图形化双阈值边界线模型的数值结果写成3×3的预测实现表有助于计算预期互信息，这是一种衡量预测中包含的观测信息量的指标。互信息表征了预报员在所有预报类别上的平均表现，而具体信息和相对熵都表征了特定预报中所含信息量的各个方面。我们计算和解释这些信息量的实验N2O排放数据。
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.