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Proceedings Paper

Mapping spatial variability of soil organic carbon using GIS and geostatistics software
Author(s): Peng Lu; Li Ma
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Paper Abstract

In this study, the spatial variability of soil organic carbon (SOC) was determined in a typical ecological unit of Dongting Lake plain area, subtropical China. The paper evaluated various data processing methods for evaluating SOC content with normal distributions. The results show that Box-Cox method dampened the effect of outliers and achieved normality in the data set. Indictor kriging method is useful to assess the probability distribution by giving the conditional probability of SOC concentration less than the threshold (20 g/kg). It is suggested that the probability distribution of SOC is also useful for better identifying of key sections for better managing optimal fertilization, developing management practices to enhance SOC storage.

Paper Details

Date Published: 4 February 2011
PDF: 6 pages
Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77520I (4 February 2011); doi: 10.1117/12.889230
Show Author Affiliations
Peng Lu, Institute of Water and Soil Conservation (China)
Institute of Botany (China)
Li Ma, Langfang Municipal Bureau of Agriculture (China)


Published in SPIE Proceedings Vol. 7752:
PIAGENG 2010: Photonics and Imaging for Agricultural Engineering
Honghua Tan, Editor(s)

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