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Establishing a soil quality index to assess the effect of thinning on soil quality in a Chinese fir plantation

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Abstract

Better knowledge and comprehensive evaluation of soil quality have important implications for developing sustainable forest management practices. The objective of the present study was to establish a soil quality index (SQI) that can be used to assess soil quality under different thinning intensities in a Chinese fir (Cunninghamia lanceolata [Lamb.] Hook) plantation in southeastern China. We sampled the soil in different seasons of the year from four plots subjected to different thinning intensities: low-intensity thinning (LIT, 30%), moderate-intensity thinning (MIT, 50%), high-intensity thinning (HIT, 70%), and control (0%). We analyzed 16 physical, chemical, and biological soil properties. The SQI was calculated based on total data set (TDS) and minimum data set (MDS) using different scoring functions (linear and nonlinear), integrating procedures (additive, weighted additive, and Nemoro), and weight assignment methods (communality and variation of principal component analysis (PCA)). The SQI calculated by the nonlinear weighted additive method with variation explained by the PCA performed better than the other methods. The SQI values were in the range of 0.26–0.64 under different thinning intensities. A significant increase in the SQI values was observed in MIT (53.2%) and HIT (40.8%) compared with that in CK. The SQI values also showed strong seasonal variability, with the highest values in the summer and the lowest values in the winter. Microbial biomass nitrogen (MBN), soil organic carbon (SOC), and pH were found to be the most crucial indicators of soil quality. Our results confirmed that thinning exerts a strong effect on soil quality, and the studied SQI based on MDS was found to be an effective tool for assessing soil quality.

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Abbreviations

SQI:

soil quality index

MDS:

minimum data set

TDS:

total data set

PCA:

principal component analysis

IQI:

integrated quality index

AQI:

additive quality index

NQI:

Nemoro quality index

LS:

linear scoring

NL:

non-linear scoring

WC:

water content

SOC:

soil organic carbon

TN:

total nitrogen

TP:

total phosphorus

TK:

total potassium

DOC:

dissolve organic carbon

MBC:

microbial biomass carbon

MBN:

microbial biomass nitrogen

ACP:

acid phosphatase

BG:

β-glucosidase

DEH:

dehydrogenase

POX:

peroxidase

URE:

urease

CK:

control

LIT:

low-intensity thinning treatment

MIT:

moderate-intensity thinning treatment

HIT:

high-intensity thinning treatment

PC:

principal component

COM:

communality

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (Grant No. 31971453).

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Correspondence to Qingwei Guan.

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Communicated by Hans Pretzsch.

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The original online version of this article was revised due to the last sentence in the “conclusions” was published incorrectly and the conclusions section has been corrected.

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Ye, Y., Sun, X., Zhao, J. et al. Establishing a soil quality index to assess the effect of thinning on soil quality in a Chinese fir plantation. Eur J Forest Res 141, 999–1009 (2022). https://doi.org/10.1007/s10342-022-01471-7

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  • DOI: https://doi.org/10.1007/s10342-022-01471-7

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