4.7 Article

Soil extracellular enzyme activity and stoichiometry in China's forests

期刊

FUNCTIONAL ECOLOGY
卷 34, 期 7, 页码 1461-1471

出版社

WILEY
DOI: 10.1111/1365-2435.13555

关键词

deep soil; extracellular enzyme activity; forest ecosystem; microbe-soil feedback; stoichiometry

类别

资金

  1. Key Research Program of Frontier Sciences, CAS [QYZDY-SSW-SMC011]
  2. National Natural Science Foundation of China [31330012]
  3. China Postdoctoral Science Foundation [2018M641074]
  4. National Key Research and Development Program [2017YFC0503901]

向作者/读者索取更多资源

Ecoenzymatic stoichiometry links microbial decomposition with nutrient mineralization and improves our understanding of nutrient cycling in terrestrial ecosystems. Microbial C:N:P acquisition in the topsoil converged at a ratio of 1:1:1 in global ecosystems. However, whether the ratio of microbial acquisition is stable in forest soils, and is applicable among different soil depths remain unknown. Based on large-scale soil sampling in China's forests, we examined the patterns and environmental drivers of the eight most-widely measured enzyme activities and the relevant stoichiometry. We found that the ratio of C:N:P acquisition significantly deviated from 1:1:1. The specific enzyme activities (normalized by SOC) did not change significantly with latitude except those for xylosidase and acid phosphatase. Similarly, only the C:P acquisition ratio increased with latitude. Vertically, the specific activities of C-acquiring enzymes mainly increased, N-acquiring enzymes decreased and P-acquiring enzymes did not change with soil depth. Moreover, all ratios of microbial acquisition decreased, and the percentage of recalcitrant C increased significantly with increasing depth. Our study also showed that temperature and soil C:N ratio were the important factors in explaining the variations in specific enzyme activities and microbial nutrient acquisition, respectively. Our results indicated that no constant microbial C:N:P acquisition ratio can be widely recognized, and that SOC quality changed from labile to recalcitrant with depth. We highlight that depth-dependent enzymatic processes should be considered in future SOC dynamic models. A free Plain Language Summary can be found within the Supporting Information of this article.

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