草地学报 ›› 2016, Vol. 24 ›› Issue (6): 1241-1247.DOI: 10.11733/j.issn.1007-0435.2016.06.013

• 研究论文 • 上一篇    下一篇

衡阳紫色土丘陵坡地不同植被恢复模式对土壤微生物量及酶活性的影响

文东新1, 杨宁2, 杨满元2   

  1. 1. 中南林业科技大学理学院, 湖南 长沙 410004;
    2. 湖南环境生物职业技术学院园林学院, 湖南 衡阳 421005
  • 收稿日期:2016-06-13 修回日期:2016-08-16 出版日期:2016-12-15 发布日期:2017-03-18
  • 通讯作者: 杨宁
  • 作者简介:文东新(1966-),男,湖南东安人,博士,副教授,主要从事植物生态学及恢复生态学的教学与研究,E-mail:wendongxin0809@sina.com
  • 基金资助:

    湖南省科技厅项目(S2006N332);湖南省教育厅科学研究项目(16C0559);湖南省林业科技创新计划项目(XLK201341);湖南省衡阳市农业科技支撑计划项目(2014KN27);湖南省普通高校青年骨干教师培养对象项目资助

Effect of Different Re-vegetation Pattern on Soil Microbial Biomass and Enzyme Activities in Purple Soils of Sloping-land in Hengyang, Hunan Province, China

WEN Dong-xin1, YANG Ning2, YANG Man-yuan2   

  1. 1. College of Science, Central South University of Forestry and Technology, Changsha, Hunan Province 410004, China;
    2. College of Landscape Architecture, Hunan Environmental-Biological Polytechnic College, Hengyang, Hunan Province 410128, China
  • Received:2016-06-13 Revised:2016-08-16 Online:2016-12-15 Published:2017-03-18

摘要:

采用经典统计和通径分析,研究衡阳紫色土丘陵坡地4种植被恢复模式[草本(GS)、灌草(FG)、灌丛(FX)和乔灌(AF)]表层(0~15 cm)土壤微生物量与酶活性变化特征,探讨其与理化因子的关系。结果表明:在4种模式中,土壤微生物量以灌草模式最高(P<0.05),草本模式最低(P<0.05);脲酶活性以草本模式最高(P<0.05),乔灌模式最低(P<0.05),碱性磷酸酶活性以乔灌模式最高(P<0.05),草本模式最低(P<0.05),蔗糖酶活性以灌丛模式最高(P<0.05),乔灌模式最低(P<0.05)。通径分析表明,土壤微生物量的直接和主要影响因素为土壤有机碳;蔗糖酶的主要影响因素为土壤有机碳和土壤微生物量碳,而从总效应来看,各因素对蔗糖酶活性的影响较小;脲酶和碱性磷酸酶活性的主要影响因素为全氮,但全氮对脲酶活性表现为强烈的负效应,而对碱性磷酸酶活性表现为强烈的正效应。土壤微生物量以及脲酶、碱性磷酸酶和蔗糖酶活性的剩余通径系数均较大,说明有其他因素对其具有影响。

关键词: 植被恢复模式, 土壤微生物量, 土壤酶活性, 通径分析, 紫色土

Abstract:

Using classical statistic and path analysis, we studied the characteristics of soil microbial biomass and enzyme activity at the upper soil layer (0~15 cm) in four re-vegetation patterns[GS(Grass), FG(Frutex and grass), FX(Frutex), and AF(Arbor and frutex)] in purple soils of sloping-land in Hengyang, Hunan Province, China, and analyzed the relationships of soil microbial biomass, enzyme activity and physico-chemical properties. The results showed that:In four re-vegetation patterns, the content of soil microbial biomass was the highest in FG pattern(P<0.05) and the lowest in GS pattern(P<0.05); The activity of URE(Urease) was the highest in GS pattern(P<0.05) and the lowest in AF pattern(P<0.05); the highest of ALP(Alkaline phosphatase) was in AF pattern(P<0.05) and the lowest in GS pattern(P<0.05); INV(Invertase) was the highest in FX pattern(P<0.05) and the lowest in AF pattern(P<0.05). Path analysis revealed that the direct and main influencing factor for soil microbial biomass was soil organic carbon(SOC). The main influencing factors for INV were SOC and soil microbial biomass carbon(SMBC), while the total path coefficient of all the factors was small; The main influencing factor for URE and ALP activity was total nitrogen(TN). TN had a major negative effect on URE activity, whereas it had a major positive effect on ALP activity. The residual path coefficients of SMBC, soil microbial biomass nitrogen, URE, ALP and INV activity were large, which indicate that other factors have a strong influence on the dynamics of soil microbial biomass and enzyme activity.

Key words: Re-vegetation pattern, Soil microbial biomass, Soil enzyme activity, Path analysis, Purple soils

中图分类号: