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论文题目: Microbial enzyme activity and stoichiometry signal the effects of agricultural intervention on nutrient cycling in peatlands
英文论文题目: Microbial enzyme activity and stoichiometry signal the effects of agricultural intervention on nutrient cycling in peatlands
第一作者: 秦雷
英文第一作者: L. Qin
联系作者: 姜明
英文联系作者: M. Jiang
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发表年度: 2021
卷: 122
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摘要:

Fertilization in agricultural peatlands accelerates nutrient cycling and creates a potential risk to nearby natural peatlands. Here, using undisturbed peatlands as reference, we studied soil carbon (C), nitrogen (N), phosphorus (P) and the key enzymes for nutrient cycling at 0-50 cm soil depth in agricultural, nearby disturbed peatlands in a temperate fen in Northeast China. Agricultural intervention significantly increased total P in agricultural and disturbed peatlands, and decreased soil organic carbon content and total N in surface soil of agricultural peatlands, however total N significantly accumulated at 20-30 cm soil both in agricultural and disturbed peatlands (p < 0.05). Both N-acetyl-13-glucosaminidase and phosphatase significantly declined in agricultural peatlands, while only phosphatase decreased in disturbed peatlands (p < 0.05), and linear regression models showed strong effects of changes of soil nutrient levels on enzyme activities. The ratios of 13-D-glucosidase to N-acetyl-13-glucosaminidase and phosphatase markedly increased in agricultural peatlands and showed higher ratios in deeper soil of disturbed peatlands, suggesting relatively higher microbial demand for carbon. Nonmetric multidimensional scaling analysis showed that variations of enzyme activity and stoichiometry can be used to reveal agricultural disturbance, and further redundancy analysis identified that total P and SOC explained 38.3% and 8.3% of the variance. Overall, our findings show that microbial enzymatic activity and stoichiometry can be effective and sensitive indicators of agricultural intervention and nutrient changes in peatlands, which implies that they can be used in monitoring of future fertilization management strategies aimed at fostering more sustainable agriculture.

英文摘要:

Fertilization in agricultural peatlands accelerates nutrient cycling and creates a potential risk to nearby natural peatlands. Here, using undisturbed peatlands as reference, we studied soil carbon (C), nitrogen (N), phosphorus (P) and the key enzymes for nutrient cycling at 0-50 cm soil depth in agricultural, nearby disturbed peatlands in a temperate fen in Northeast China. Agricultural intervention significantly increased total P in agricultural and disturbed peatlands, and decreased soil organic carbon content and total N in surface soil of agricultural peatlands, however total N significantly accumulated at 20-30 cm soil both in agricultural and disturbed peatlands (p < 0.05). Both N-acetyl-13-glucosaminidase and phosphatase significantly declined in agricultural peatlands, while only phosphatase decreased in disturbed peatlands (p < 0.05), and linear regression models showed strong effects of changes of soil nutrient levels on enzyme activities. The ratios of 13-D-glucosidase to N-acetyl-13-glucosaminidase and phosphatase markedly increased in agricultural peatlands and showed higher ratios in deeper soil of disturbed peatlands, suggesting relatively higher microbial demand for carbon. Nonmetric multidimensional scaling analysis showed that variations of enzyme activity and stoichiometry can be used to reveal agricultural disturbance, and further redundancy analysis identified that total P and SOC explained 38.3% and 8.3% of the variance. Overall, our findings show that microbial enzymatic activity and stoichiometry can be effective and sensitive indicators of agricultural intervention and nutrient changes in peatlands, which implies that they can be used in monitoring of future fertilization management strategies aimed at fostering more sustainable agriculture.

刊物名称: Ecological Indicators
英文刊物名称: Ecological Indicators
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参与作者: L. Qin, C. Freeman, X. Y. Jia, Z. S. Zhang, B. Liu, S. Q. Zhang and M. Jiang
英文参与作者: L. Qin, C. Freeman, X. Y. Jia, Z. S. Zhang, B. Liu, S. Q. Zhang and M. Jiang
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