Application of Cmic/Corg in the Soil Fertility Evaluation of Typical Forests in the Yulin Sandy Area

Yue Wang, Shan Wang, Chun-Sheng Zhou and Wen-Feng Chi
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Yue Wang: School of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China
Shan Wang: School of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China
Chun-Sheng Zhou: School of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China
Wen-Feng Chi: School of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China

Land, 2022, vol. 11, issue 4, 1-11

Abstract: The microbial quotient (Cmic/Corg) has been used extensively to evaluate agriculture soil fertility, but the microbial sensitivity should be considered during the forestry process. Therefore, the objective of this study was to examine a soil fertility evaluation method applied to four vegetation types in the Mu Us Sandland in northwestern China, using the relationship between the Cmic/Corg ratio and soil moisture, and soil temperature under the premise of microbial diversity. The final predictive value was C. microphylla (0.2198) > P. sylvestris (0.2175) > P. tabulaeformis (0.0872) > S. psammophila (0.0767). We verified the evaluation results using two traditional methods, the back-propagation (BP) artificial neural network model and principal component analysis, which are widely used to evaluate soil quality based on the soil nutrient concentration. The results were the same as the Cmic/Corg predictions. We conclude that when the soil microbes are used in soil quality evaluations, the changing pattern should be fully considered.

Keywords: soil quality; microbial quotient (Cmic/Corg); bacterial diversity (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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