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Improved Estimation of Soil Organic Carbon Storage Uncertainty Using First-Order Taylor Series Approximation

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Title Improved Estimation of Soil Organic Carbon Storage Uncertainty Using First-Order Taylor Series Approximation
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Creator Dileep K. Panda
R. Singh
D. K. Kundu
H. Chakraborty
A. Kumar
 
Subject soil organic carbon
 
Description Not Available
Assessment of soil organic C (SOC) stocks is important for monitoring the effect of land use change in the C cycle and for formulation of C sequestration strategies in the context of global climate change. Discrepancies among the recent global SOC estimates by different researchers underscore the importance of precise estimation of the uncertainty associated with the SOC stocks. A method was recently proposed to estimate the SOC storage uncertainty using the Taylor series of approximations. Here we show that the accuracy of SOC
storage uncertainty can be improved by incorporating the covariance among the input variables. Measurement of input variables from independent samples or use of an incomplete model leads to either over or
underestimation of the SOC storage uncertainty. The application of the method to an experimental data set indicated that ignoring covariance would lead to a substantial overestimate of the uncertainty.
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Date 2018-07-23T09:44:32Z
2018-07-23T09:44:32Z
2008-11-30
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/6283
 
Language English
 
Relation Not Available;