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晋西黄土区典型人工植被对土壤球囊霉素和团聚体稳定性的影响
引用本文:朱兴菲,刘小芳,赵勇钢,刘新春,高冉,栗文玉.晋西黄土区典型人工植被对土壤球囊霉素和团聚体稳定性的影响[J].水土保持通报,2018,38(6):80-87.
作者姓名:朱兴菲  刘小芳  赵勇钢  刘新春  高冉  栗文玉
作者单位:山西师范大学 生命科学学院, 山西 临汾 041000,山西师范大学 生命科学学院, 山西 临汾 041000,山西师范大学 生命科学学院, 山西 临汾 041000,山西师范大学 生命科学学院, 山西 临汾 041000,山西师范大学 生命科学学院, 山西 临汾 041000,山西师范大学 生命科学学院, 山西 临汾 041000
基金项目:山西省自然科学基金项目“晋西黄土区植被自然恢复土壤有机碳固定与稳定性机制”(201601D021103);国家自然科学基金项目“草地演替中土壤结构演变与降雨—入渗过程的互作机理”(41401242)
摘    要:目的]阐明晋西黄土区典型人工植被类型对球囊霉素相关土壤蛋白(GRSP)和团聚体稳定性的影响,以及两者之间的关系,为黄土高原地区人工植被建设与管理提供科学依据。方法]选取晋西三川河流域4种典型人工植被(苜蓿、刺槐、侧柏和核桃),以农地为对照,分析0—100cm土层中GRSP组分、有机碳(SOC)和团聚体稳定性指标在不同植被类型下的分布差异及其相关性。结果]不同植被类型下易球囊霉素(EE-GRSP)、总球囊霉素(T-GRSP)以及两者的比值在0—30cm土层存在显著差异,均以核桃地最高,而苜蓿地较低。不同植被下EE-GRSP/SOC和T-GRSP/SOC均随着土层深度增加而增加,分别为1.78~6.77,4.07~19.11。与农地相比,侧柏和苜蓿地分别增加了39.67%,36.62%的EE-GRSP/SOC以及39.25%和46.70%的T-GRSP/SOC,而核桃分别减少了31.07%和36.93%。平均重量直径与T-GRSP和SOC呈显著正相关关系,而与EE-GRSP/SOC呈显著负相关关系(p0.05)。结论]不同人工植被对表层土壤GRSP的组分有明显影响,土壤团聚体稳定性不仅与GRSP的组分有关,也与其对SOC的贡献有重要关系。

关 键 词:人工植被  球囊霉素  团聚体稳定性  土壤有机碳  相关性分析
收稿时间:2018/4/16 0:00:00
修稿时间:2018/6/4 0:00:00

Effects of Representative Artificial Vegetation Types on Glomalin-Related Soil Protein and Aggregate Stability on Loess Plateau in Western Shanxi Province
ZHU Xingfei,LIU Xiaofang,ZHAO Yonggang,LIU Xinchun,GAO Ran and LI Wenyu.Effects of Representative Artificial Vegetation Types on Glomalin-Related Soil Protein and Aggregate Stability on Loess Plateau in Western Shanxi Province[J].Bulletin of Soil and Water Conservation,2018,38(6):80-87.
Authors:ZHU Xingfei  LIU Xiaofang  ZHAO Yonggang  LIU Xinchun  GAO Ran and LI Wenyu
Institution:College of Life Sciences, Shanxi Normal University, Linfen, Shanxi 041000, China,College of Life Sciences, Shanxi Normal University, Linfen, Shanxi 041000, China,College of Life Sciences, Shanxi Normal University, Linfen, Shanxi 041000, China,College of Life Sciences, Shanxi Normal University, Linfen, Shanxi 041000, China,College of Life Sciences, Shanxi Normal University, Linfen, Shanxi 041000, China and College of Life Sciences, Shanxi Normal University, Linfen, Shanxi 041000, China
Abstract:Objective] The objective of the study was to elucidate the effects of representative artificial vegetation types on soil glomalin-related soil protein (GRSP) and aggregate stability, and to evaluate the relationship between the latter two factors on the Loess Plateau in Western Shanxi Province in order to provide basic data for artificial vegetation restoration project.Methods] Four representative artificial vegetation types, Medicago sativa, Robinia pseudoacacia, Platycladus orientalis, and Juglans regia, were selected in the Sanchuan River Basin, western Shanxi Province, with a cropland as the control. Soil samples were taken from a depth of 0-100 cm to analyze the distribution differences of easily extractable-GRSP(EE-GRSP), total-GRSP (T-GRSP), soil organic carbon (SOC), and aggregate stability among different vegetation types. The relationship between these parameters were evaluated by Pearson analysis.Results] The EE-GRSP and T-GRSP concentrations and the EE-GRSP/T-GRSP ratio significantly differed in the 0-30 cm surface soil across different vegetation types, with the highest and lowest values being found in the J. regia and M. sativa plots, respectively. Both the EE-GRSP/SOC and T-GRSP/SOC ratios always increased with the increase of soil depth, having ranges of 1.78~6.77 and 4.07~19.11, respectively. The EE-GRSP/SOC and T-GRSP/SOC increased in the P. orientalis (39.67% and 36.62%) and M. sativa (39.25% and 46.70%) plots as compared with the ones in cropland, while they decreased in the J. regia plot (31.07% and 36.93%). Mean weight diameter was positively correlated with T-GRSP and SOC (p<0.05) and negatively correlated with EE-GRSP/SOC (p<0.05).Conclusion] Different artificial vegetation types considerably influenced GRSP components in the surface soil. Soil aggregate stability was not only related to the concentration of soil GRSP components, but also to their contribution to SOC.
Keywords:artificial vegetation type  soil glomalin  aggregate stability  organic carbon  Pearson analysis
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