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A
comparative study on three methods of soil quality evaluation of
microtopography in the semi-arid Loess Plateau, China
Yaojun Bo1,2,
Qingke Zhu1*, Yaoxian Bao3, Weijun Zhao1,
Yanming Zhao1 and Hongzhi Zhang4
1College of Water
and Soil Conservation, Beijing Forestry University, Beijing 100083, China
2College of Life
Sciences, Yulin University, Yulin, Shaanxi, 719000, China
3Beijing SPC
Environment Protection Tech Co., Ltd, Beijing, 100142, China
4Yangjiazhuang
Township Government, Dingzhou, Hebei, 073000, China
*Corresponding
Author E-mail: zhuqingke2013@126.com
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Publication
Data
Paper received:
30 May 2014
Revised received:
24 September 2014
Accepted:
26 September 2014
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Abstract
Three
soil property test data of microtopography in the semi-arid Loess Plateau
were used to compare the? following three soil quality evaluation methods:
correlation coefficient method, factor analysis method and Nemoro index
method. The results of these methods were analyzed and compared to determine
the most suitable method for comprehensive evaluation of soil quality. While
correlation coefficient method and factor analysis method produced similar
results, Nemoro index method showed several differences from the other two
methods and exhibited higher sensitivity in its assessment results. The soil
quality index (SQI) parameters of three methods showed consistent scales and
variation trends among the various microtopographies, and there was a highly
significant linear positive correlation between the SQI parameters of any two
given methods. This result suggested that the three methods were all reliable
and could be employed for comprehensive assessment of soil quality of
microtopography in the study region. However, the Nemoro index method
involves relatively uncomplicated mathematics and is very easy to absorb, and
thus should be preferentially employed when three grading standards can be
identified. The factor analysis method is the next most preferable, followed
by correlation coefficient method. ???
Key
words
Correlation
coefficient method, Factor analysis method, Microtopography, Nemoro index
method, Soil quality assessment
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Copyright
? 2015 Triveni Enterprises. All rights reserved. No part of the Journal can
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conclusions enforced or derived, rest completely with the author(s).
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