Journal
LAND
Volume 12, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/land12040755
Keywords
farmland; soil biodiversity; statistical analysis; soil health
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Soil biodiversity is an important indicator of soil health and play a key role in soil-based ecosystem services. This study investigated the distribution characteristics and factors influencing six soil biological indicators in different farmland use contexts in China. Factors such as cation exchange capacity, total N, organic matter, hydrolytic N, soil bulk density, total phosphorus, available phosphorus, and available potassium were found to have significant effects on these indicators.
Soil biodiversity drives soil-based ecosystem services and is an important indicator of soil health. To understand the responses of important soil biological indicators to different farmland use contexts, 72 fields in three agricultural regions of China were used as research objects. The distribution characteristics and the factors influencing six indicators (carbon and nitrogen contents of soil microbial biomass (MBC, MBN, respectively), soil respiration (SR), soil catalase activity (CAT), soil acid phosphomonoesterase activity (APA), and soil earthworms) were investigated using field monitoring and indoor analysis. The MBC, SR, CAT, and APA indicators showed significant differences among the regions (p < 0.05). Correlation and redundancy analyses indicated that the important factors affecting MBC, MBN, and soil respiration were cation exchange capacity, total N, organic matter, hydrolytic N, and soil bulk density, whereas the important factors affecting APA and earthworms were total phosphorus, available phosphorus, and available potassium. None of these factors had a significant effect on CAT. Climatic conditions, soil types, and farmland practices all have complex impacts on soil biodiversity. The results showed that attention should be paid to improving the physical conditions of the soil and to increasing soil fertility levels when establishing sustainable farm management patterns.
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