4.7 Article

Determinants of soil carbon- and nitrogen-hydrolyzing enzymes within different afforested lands in central China

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 13, Pages 18868-18881

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-16817-8

Keywords

Soil enzyme activity; Spatial variation; Afforestation; Enzyme stoichiometry; Variation partitioning

Funding

  1. National Natural Science Foundation of China [31770563, 31700461]
  2. Strategic Priority Research Program B of the Chinese Academy of Sciences [XDB15010200]

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Soil enzyme activity is regulated by a complex interplay of abiotic (such as soil organic C, total N, and pH) and biotic factors (such as root biomass, microbial biomass). While abiotic factors were more reliable in reflecting spatial patterns of enzyme activity across afforested systems, vegetation-related factors indirectly influenced enzyme activity by regulating soil abiotic factors. The enzymatic C/N ratio within ecosystems did not follow a global pattern, and microbial community composition had a minor impact on enzyme activity compared to soil abiotic factors.
Soil organic matter (SOM) decomposition is regulated by a complex set of enzymes. However, the influences of biotic and abiotic factors on spatial variations of soil enzyme activity (EA) within ecosystems remain unresolved. Here, we measured EA at different locations within two afforested lands (coniferous woodland and leguminous shrubland), and simultaneously collected data on soil physico-chemical, vegetation-related, and microbial properties to identify the determinants of EA spatial patterns. The results showed that soil organic C and total N contents were the predominant abiotic factors in regulating absolute EA (EA per unit of oven-dry soil mass) in both afforested lands, while soil pH was the predominant factor in regulating specific EA (EA per unit of microbial biomass (MB)). However, the predominant biotic factors varied with the afforested type: the root biomass and MB were the determinants of EA in the shrubland, whereas the tree distribution, litter and root biomass, and bacterial biomass were the determinants in the woodland. Vegetation-related factors (i.e., litter and root biomass) indirectly influenced soil EA by regulating the soil abiotic factors. Compared with the MB, microbial community composition had a minor impact on EA. The variance of specific EA (EA per unit of MB or SOM) explained by selected factors was much lower than that of absolute EA. In addition, the enzymatic C/N ratio within ecosystems did not follow a general pattern (1:1) observed at a global scale. Our results provide novel experimental insight into ecosystem-level spatial variability of C and N cycling via enzymes, suggesting that soil abiotic factors are more reliable than biotic factors to reflect EA spatial patterns across afforested systems.

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