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矿区植被恢复方式对土壤微生物和酶活性的影响
引用本文:李君剑,刘峰,周小梅. 矿区植被恢复方式对土壤微生物和酶活性的影响[J]. 环境科学, 2015, 36(5): 1836-1841
作者姓名:李君剑  刘峰  周小梅
作者单位:1. 山西大学黄土高原研究所,太原,030006
2. 山西大学生命科学学院,太原,030006
基金项目:国家自然科学基金项目(41271530,41401053)
摘    要:矿区废弃地生态退化形势严峻,生态修复已成为矿区可持续发展的主要措施,土壤微生物和酶活性可作为评价土壤恢复质量的敏感因子.本研究将以山西省安太堡煤矿复垦区作为对象,分析植被恢复方式对土壤微生物和酶活的影响.结果表明,不同植被方式对土壤理化特征、参与氮代谢的3类菌群(固氮菌、硝化细菌和反硝化细菌)和4种酶活性(蔗糖酶、过氧化氢酶、脲酶和多酚氧化酶活)均有显著影响.土壤总氮含量与固氮菌和硝化细菌数量均显著相关,而与反硝化细菌不相关.多酚氧化酶活性与有机碳和总氮含量之间为负相关,而其它3种酶与有机碳和总氮之间呈正相关.通过主成分分析计算综合肥力指标,刺槐-油松混交林土壤综合肥力指标最高,而未复垦综合肥力指标最低.可见,刺槐-油松混交林是晋西北干旱区矿区复垦较为适宜的植被恢复模式.

关 键 词:矿区复垦  植被修复方式  土壤微生物  土壤酶  综合肥力指标
收稿时间:2014-10-24
修稿时间:2014-11-28

Effects of Different Reclaimed Scenarios on Soil Microbe and Enzyme Activities in Mining Areas
LI Jun-jian,LIU Feng and ZHOU Xiao-mei. Effects of Different Reclaimed Scenarios on Soil Microbe and Enzyme Activities in Mining Areas[J]. Chinese Journal of Environmental Science, 2015, 36(5): 1836-1841
Authors:LI Jun-jian  LIU Feng  ZHOU Xiao-mei
Affiliation:Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China;Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China;College of Life Science, Shanxi University, Taiyuan 030006, China
Abstract:Ecological degradation in the mining areas is greatly aggravated in recent several decades, and ecological restoration has become the primary measure for the sustainable development. Soil microbe and enzyme activity are sensitive indices to evaluate soil quality. Ecological reconstruction was initiated in Antaibao mining area, and we tested soil physicochemical properties, microbial populations of azotobacteria, nitrifying-bacteria and denitrifying-bacteria, and enzyme activities (including sucrose, polyphenol oxidase, dehydrogenase and urease) under different regeneration scenarios. Regeneration scenarios had significant effects on soil physicochemical properties, microbial population and enzyme activities. Total nitrogen was strongly correlated with azotobacteria and nitrifying-bacteria, however, total nitrogen was not correlated with denitrifying-bacteria. Phenol oxidase activity was negatively correlated with soil organic carbon and total nitrogen, but other enzyme activities were positively correlated with soil organic carbon and total nitrogen. Principal Component Analysis (PCA) was applied to analyze the integrated fertility index (IFI). The highest and lowest IFIs were in Robinia pseudoacacia-Pinus tabuliformis mixed forests and un-reclaimed area, respectively. R. pseudoacacia-P. tabuliformis mixed forests were feasible for reclaimed mining areas in semi-arid region Northwest Shanxi.
Keywords:reclaimed mining area  regeneration scenarios  soil microbe  soil enzymes  integrated fertility index
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