Soil Health Assessment in the Qinling Reclamation Area Based on Minimum Data Set and Risk Index

［Objective］ To explore the impact of different vegetation types on soil health in the Qinling region, to assess the relationship between aboveground plants and soil health, and construct a comprehensive soil quality health evaluation model. ［Methods］ Five vegetation types were selected, including po...

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Published inShui tu bao chi xue bao Vol. 39; no. 2; pp. 348 - 356
Main Authors ZHANG Le, LI Chunyue, GAO Chuanyu, GUO Huan, LI Yifan
Format Journal Article
LanguageChinese
Published Editorial Department of Journal of Soil and Water Conservation 01.04.2025
Subjects
reclamation
soil health
soil microbial community
vegetation restoration
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Summary:［Objective］ To explore the impact of different vegetation types on soil health in the Qinling region, to assess the relationship between aboveground plants and soil health, and construct a comprehensive soil quality health evaluation model. ［Methods］ Five vegetation types were selected, including poplar forest (RY), pine forest (RP), mixed forest (RM), privet forest (RL), and vineyard (CK). Soil samples were collected from different depths (0~20 cm and 20~40 cm), and the analysis was conducted using the Minimum Data Set (MDS) method combined with 35 soil physical, chemical, and biological indicators, along with the contents of four heavy metals. ［Results］ 1) The Minimum Data Set (MDS) was established for soil fertility evaluation, eight biological and non-biological indicators were included, i.e., field moisture capacity (FMC), physical clay content, pH, soil organic carbon (SOC), microbiological total PLFA, eukaryotic microbial PLFA, nitrogen acquisition enzyme (NAG), and microbial biomass nitrogen (MBN). Po
ISSN:1009-2242
DOI:10.13870/j.cnki.stbcxb.2025.02.007