| 黑龙江中央站黑嘴松鸡国家级自然保护区不同森林类型土壤微生物功能多样性分析 |
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| 引用本文： | 程智超,杨立宾,隋心,张童,王文浩,尹伟平,李国富,宋福强.黑龙江中央站黑嘴松鸡国家级自然保护区不同森林类型土壤微生物功能多样性分析[J].环境科学研究,2021,34(5):1177-1186. |
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| 作者姓名： | 程智超 杨立宾 隋心 张童 王文浩 尹伟平 李国富 宋福强 |
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| 作者单位： | 1.黑龙江大学生命科学学院, 黑龙江省寒地生态修复与资源利用重点实验室, 黑龙江 哈尔滨 150080 |
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| 基金项目： | 国家自然科学基金项目32011530425黑龙江省自然科学基金项目LH2020C088黑龙江大学杰出青年基金项目JCL202006 |
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| 摘 要： | 土壤微生物在森林生态系统中起着重要作用，因此研究不同森林类型下土壤微生物功能多样性具有重要意义.采用Biolog-Eco微平板法对位于黑龙江中央站黑嘴松鸡国家级自然保护区内的3种典型森林类型——白桦林、蒙古栎林、兴安落叶松林下的土壤微生物功能多样性进行研究.结果表明:白桦林、蒙古栎林、兴安落叶松林土壤微生物AWCD（平均颜色变化率）值、Shannon-Wiener指数和McIntosh指数差异显著（P < 0.05）.AWCD随着培养时间的延长而逐渐增加，其中白桦林的AWCD值最高，而落叶松林的AWCD值最低.主成分分析（PCA）结果表明，3种森林类型土壤微生物群落代谢功能差异显著，主成分1和主成分2分别可以解释方差变量的38.81%和30.30%.从碳源利用率来看，糖类和氨基酸类是影响3种森林类型土壤微生物功能的主要碳源.典型相关分析（CCA）表明，w（SOC）（SOC为土壤有机质）、w（TN）（TN为全氮）和pH是影响土壤微生物功能多样性的主要环境因子.研究显示，3种森林类型土壤微生物功能多样性和碳源利用方式均有显著差异，其主要受到土壤pH、w（SOC）和w（TN）的影响.
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| 关 键 词： | 土壤微生物 森林类型 碳源利用模式 Biolog-Eco微平板技术 |
| 收稿时间： | 2020-05-05 |
Soil Microbial Functional Diversity Responses to Different Revegetation Types in Heilongjiang Zhongyangzhan Black-Billed Capercaillie Nature Reserve |
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| Affiliation: | 1.Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, School of Life Sciences, Heilongjiang University, Harbin 150080, China2.Institute of Nature and Ecology, Heilongjiang Academy of Sciences, Harbin 150040, China3.Heilongjiang Zhongyangzhan Black-Billed Capercaillie Nature Reserve Administration Bureau, Nenjiang 161400, China |
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| Abstract: | Soil microbes play an important role in forest ecosystems. Therefore, it is of great significance to study the functional diversity of soil microbes under different forest vegetation types. In this study, the Biolog-Eco microplate method was used to study the soil microbial functional diversity under three typical forest types-Betula platyphylla, Quercus mongolica, and Larix gmelinii forests in Heilongjiang Central Station Black-billed Capercaillie National Nature Reserve. The results of the study showed that there were significant differences in soil microbial average well color development (AWCD) values, Shannon-Wiener index and McIntosh index of Betula platyphylla, Quercus mongolica and Larix gmelinii soil (P < 0.05). The AWCD gradually increased with the increase of cultivation time. The AWCD value of Betula platyphylla forest was the highest, while the AWCD value of Larix gmelinii forest was the lowest. Principal component analysis (PCA) showed that there were significant differences in soil microbes among the three forest types. Principal component 1 and principal component 2 could explain 38.81% and 30.3% of the variance variables, respectively. From the perspective of carbon source utilization, carbohydrates and amino acids were the main carbon sources that affect the soil microbial function of the three forest types. Canonical correlation analysis showed that organic carbon, total nitrogen and pH had significant impacts on microbial functional diversity. The results showed that the soil microbial functional diversity and carbon source utilization were significantly different between forest types, and were mainly affected by soil pH, w(SOC) and w(TN). |
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