The Distribution of Soil Microbial Parameters based on Aggregate Fractions in Successional Grassland Restoration Ecosystems on the Loess Plateau

The Distribution of Soil Microbial Parameters based on Aggregate Fractions in Successional Grassland Restoration Ecosystems on the Loess Plateau

Zhijing Xue

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Zhongming Wen

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Zhengchao Zhou

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Shaoshan An

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Shaanxi Normal University

The Distribution of Soil Microbial Parameters based on Aggregate Fractions in Successional Grassland Restoration Ecosystems on the Loess Plateau

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Abstract

Soil microbial biomass and microbial metabolic quotients have been identified as the most effective indicators of a response to ecosystem development and disturbance. In order to determine the effects of grassland restoration programs, we analyzed the distribution of soil microbial parameters in different aggregate fractions at 1yr, 10 yr. and 30 yr. Results show that C mic and P mic increased with grassland succession, the greatest values were concentrated at a micro-aggregate size. However, qCO 2 decreased as the years under restoration increased. qCO 2 was significantly correlated with SOC, TN, P mic (negatively) and C mic (positively). Natural succession of grassland alters soil microbial properties positively, which plays a major role in aggregate formation. The time under vegetation rehabilitation impacts soil microbial parameters at different aggregate sizes, especially for qCO 2 where 2-3 mm was found to be the aggregate size that was least influenced by soil quality.

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How to Cite This Article

Zhijing Xue. 2019. \u201cThe Distribution of Soil Microbial Parameters based on Aggregate Fractions in Successional Grassland Restoration Ecosystems on the Loess Plateau\u201d. Global Journal of Science Frontier Research - H: Environment & Environmental geology N/A (GJSFR Volume 19 Issue H2): .

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GJSFR Volume 19 Issue H2
Pg. 1- 12

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-H Classification: FOR Code: 050399

Submission ReceivedJune 14, 2019
Peer Review Double Blind
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Accepted June 21, 2019
Published July 23, 2019

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Article Matrices

Total Score: 134

Country: China

Subject: Global Journal of Science Frontier Research - H: Environment & Environmental geology

Authors: Zhijing Xue, Zhongming Wen, Zhengchao Zhou, Shaoshan An (PhD/Dr. count: 0)

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