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应用生态学报 ›› 2019, Vol. 30 ›› Issue (3): 841-848.doi: 10.13287/j.1001-9332.201903.036

• 研究论文 • 上一篇    下一篇

退化人工林不同恢复类型对土壤微生物群落功能多样性的影响

宋贤冲1,2,3, 王会利1,2, 秦文弟1, 邓小军1,2, 田红灯1,2, 谭一波1,2, 王绍能2,4, 曹继钊1,2*   

  1. 1广西壮族自治区林业科学研究院, 南宁 530002;
    2广西漓江源森林生态系统国家定位观测研究站, 广西桂林 541316;
    3中国林业科学研究院资源昆虫研究所, 昆明 650224;
    4广西桂林猫儿山自然保护区管理局, 广西桂林 541316
  • 收稿日期:2018-07-09 出版日期:2019-03-20 发布日期:2019-03-20
  • 通讯作者: E-mail: jizhaocao@163.com
  • 作者简介:宋贤冲,男,1986年生,博士研究生. 主要从事土壤微生物生态研究. E-mail: Songxc123@126.com
  • 基金资助:
    本文由广西创新驱动发展专项资金项目(AA17204087-11)、广西自然科学基金项目(2016GXNSFBA380051)、广西科技基地和人才专项(AD17129051)、广西林科院基本科研业务费项目(201807号)和广西优良用材林资源培育重点实验室自主课题(15A0402)资助

Effects of stand type of artificial forests on soil microbial functional diversity

SONG Xian-chong1,2,3, WANG Hui-li1,2, QIN Wen-di1, DENG Xiao-jun1,2, TIAN Hong-deng1,2, TAN Yi-bo1,2, WANG Shao-neng2,4, CAO Ji-zhao1,2*   

  1. 1Guangxi Zhuang Autonomous Region Forestry Research Institute, Nanning 530002, China;
    2Guangxi Lijiang River Source Forest Ecosystem Research Station, Guilin 541316, Guangxi, China;
    3Research Institute of Resources Insect, Chinese Academy of Forestry, Kunming 650224, China;
    4Bereau of Guangxi Mao’er Mountain Nature Reserve, Guilin 541316, Guangxi, China
  • Received:2018-07-09 Online:2019-03-20 Published:2019-03-20
  • Supported by:
    This work was supported by the Guangxi Innovation-driven Development Project (AA17204087-11), Natural Science Foundation of Guangxi (2016GXNSFBA380051), Guangxi Special Project of Science and Technology Base and Talent (AD17129051), Basic Research Items of Guangxi Forestry Research Institue (201807), and Self-topic of Guangxi Key Laboratory of superior Trees Resource Cultivation (15A0402).

摘要: 为了评价华南退化人工林生态系统的不同恢复类型,本研究以土壤微生物群落功能多样性为对象,探讨恢复林土壤微生物功能多样性的差异及影响因子.在研究区内选取代表性的近自然经营杉木林(CF)和毛竹林(MB),以天然次生林(NF)为对照,采集表层土壤样品.运用Biolog-Eco微平板技术,对3种林分的土壤微生物群落功能多样性进行研究.结果表明: 不同恢复林分的植物多样性差异显著,NF植物多样性指数显著高于MB和CF,而MB的植物多样性指数显著高于CF;不同林分类型的土壤pH和容重差异显著,其他土壤理化性质差异不显著;不同林分类型土壤微生物的平均颜色变化率(AWCD)为NF>MB>CF,不同林分对6种类型碳源底物的利用也有相似规律;NF的土壤微生物群落Shannon多样性指数、Shannon丰富度指数、Simpson优势度指数和McIntosh指数最高,MB次之,CF最低;主成分分析表明,从31种碳源类型提取的主成分1和主成分2分别能解释变量方差的60.0%和12.4%,在主成分分异中起主要贡献作用的是羧酸类、碳水化合物类和氨基酸类碳源;相关性分析表明,植物物种丰富度和多样性指数、土壤容重与土壤微生物群落多样性指数之间存在显著相关关系,对土壤微生物群落功能多样性具有重要影响.NF土壤微生物的碳源利用效率高于人工林,而MB土壤微生物碳源利用效率高于CF.从植被多样性及土壤微生物群落功能多样性来看,近自然经营的MB人工林更有利于退化人工林生态系统功能的恢复与提升.

关键词: 土壤微生物群落, Biolog-Eco, 多样性, 近自然经营

Abstract: We explored the changes of soil microbial biodiversity in response to forest ecological restoration. Soil samples were collected from the close-to nature managed Chinese fir plantation (CF), Moso bamboo plantation (MB), and natural secondary forest (NF). Soil microbial community diversity was analyzed by Biolog-Eco micro-plate technique. The results showed that plant diversity was significantly different among the three stands. Plant diversity of NF was significantly higher than MB and CF, and MB was higher than CF. Soil pH and bulk density showed a great difference, while there was no difference of other soil physiochemical properties among the three stands. Avera-ge well color development (AWCD) of soil in various stands followed the order of NF>MB>CF, consistent with the changes of utilization of six types of carbon sources. Shannon index of NF was the highest, and the index of MB was significantly higher than that of CF. Soil physical and chemical properties in different stands were not significantly different, except soil pH and bulk density. The Shannon diversity index (H), Shannon species richness index (S), Simpson dominance index (D) and McIntosh index (U) were the highest in NF, second in MB, and the lowest in CF. Results from principal component analysis (PCA) showed that two factors from 31 carbon sources could explain 60.0% and 12.4% of the variation and that carboxylic acids, carbohydrates and its derivatives, amino acids were the main carbon sources of the two principal component factors. Correlation analysis indicated that plant species richness and Shannon diversity indexes, soil bulk density were significantly correlated to soil microbial community diversity. The microbial community of NF was more efficient in carbon utilization than that in MB and CF, while that in MB was more efficient than that of CF. Based on plant diversity and soil microbial carbon utilization, MB is much better than CF in the artificial forest restoration and improvement in South China.

Key words: soil microbial community, Biolog-Eco, diversity, close-to-nature management