4.6 Article

Small-Scale Variability of Soil Quality in Permafrost Peatland of the Great Hing'an Mountains, Northeast China

期刊

WATER
卷 14, 期 17, 页码 -

出版社

MDPI
DOI: 10.3390/w14172597

关键词

permafrost peatland; soil quality; small-scale; microbial respiration activities

资金

  1. National Natural Science Foundation of China [41471056, 41971143, 41861134029]
  2. National Science and Technology Fundamental Resources Investigation Program of China [2019FY100600]

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Permafrost peatland is a unique ecosystem with high variability in soil quality at small scale, which is crucial for accurate estimation of biogeochemistry.
Permafrost peatland is a unique ecosystem that represents a huge carbon terrestrial pool. Soil quality has a relatively high level of variation at small scale in this ecosystem and is closely related to the carbon cycle. To quantify this variability, we analyzed total organic carbon, total nitrogen, total phosphorus, nutrient, and element (sodium, magnesium, potassium, and calcium), and microbial respiration activities (microbial biomass carbon, soil basal respiration, metabolic, and microbial quotients) in the humus layer to deeper soil layer of 6 plots at small scale (meters). For all samples, the coefficients of variation (CV) values of total carbon concentrations were lowest and these values of sodium, magnesium, potassium, and calcium concentrations were higher than those of total carbon, nitrogen, and phosphorus concentrations. The largest variations of total phosphorus, ash, and Na were in the 10-20 cm layer with soil depths. The litter decomposition and water table may cause this variation at small-scale. The CV values of microbial respiration activities were largest compared with soil properties. There were different correlations between basal respiration and soil properties among the plots. Our results showed that soil properties and microbial respiration activities in permafrost peatland exhibits considerable variability at small scale. This variability indicates that sampling location and number are very important in peatland studies if we want to accurately estimate the biogeochemistry in a peatland.

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