Improved Estimation of Soil Organic Carbon Storage Uncertainty Using First-Order Taylor Series Approximation
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
Title |
Improved Estimation of Soil Organic Carbon Storage Uncertainty Using First-Order Taylor Series Approximation
Not Available |
|
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. Not Available |
|
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;
|
|