PDF(Pubmed)
Abstract：
Soil microbiota are significantly influenced by their microenvironments. Therefore, to understand the impacts of various land use patterns on the diversity and composition of soil bacterial communities, this study focused on three typical land use types-NF (natural forest), AF (artificial forests), and FL (farmland)-in the Heilongjiang Central Station Black-billed Capercaillie National Nature Reserve, located in the southwestern part of Heihe City, Heilongjiang Province, China. Using high-throughput sequencing of the 16S rRNA gene, we examined the soil bacterial community structures in these different land use types and explored their correlation with soil environmental factors. The following were our main observations: (1) Significant variations in soil chemical properties among different land use patterns were observed. In artificial forests, total nitrogen (TN), alkali hydrolyzed nitrogen (AN), total phosphorus (TP), and available phosphorus (AP) were higher compared to farmland and significantly higher than those in natural forests. Furthermore, the organic carbon content (SOC) in natural forests was higher than in artificial forests and significantly higher than in farmland. (2) Comparative analysis using the Shannon and Simpson indices revealed that bacterial community diversity was higher in artificial forests than in natural forests, which was significantly higher than in farmland. (3) The effect of different land use types on soil bacterial community structure was not significant. The three land types were dominated by Proteobacteria, Acidobacteria, and Actinobacteria. Proteobacteria exhibited a higher relative abundance in farmland and artificial forests compared to natural forests, whereas Actinobacteria exhibited the lowest relative abundance in natural forests. (4) Redundancy analysis (RDA) revealed that SOC, TN, AN, and AP were key environmental factors influencing the microbial communities of soil. Collectively, our findings demonstrated that land use practices can significantly alter soil nutrient levels, thereby influencing the structure of bacterial communities.
摘要：
土壤微生物群受到其微环境的显著影响。因此,为了了解各种土地利用方式对土壤细菌群落多样性和组成的影响，本研究集中于三种典型的土地利用类型-NF(天然林)，AF（人工林），和FL（农田）-在黑龙江中心站黑嘴Capercaillie国家级自然保护区，位于黑河市西南部，黑龙江省,中国。使用16SrRNA基因的高通量测序，我们研究了这些不同土地利用类型的土壤细菌群落结构，并探讨了它们与土壤环境因子的相关性。以下是我们的主要观察结果：（1）观察到不同土地利用方式之间土壤化学性质的显着差异。在人工林中,总氮(TN)，碱水解氮(AN)，总磷（TP），和速效磷（AP）比农田高，明显高于天然林。此外，天然林的有机碳含量（SOC）高于人工林，显着高于农田。(2)使用Shannon和Simpson指数的比较分析表明，人工林中的细菌群落多样性高于天然林。明显高于农田。(3)不同土地利用类型对土壤细菌群落结构的影响不显著。三种土地类型以变形杆菌为主，酸杆菌,和放线菌.与天然林相比，农田和人工林中的变形杆菌表现出更高的相对丰度，而放线菌在天然林中表现出最低的相对丰度。(4)冗余分析(RDA)显示SOC,TN,AN,AP是影响土壤微生物群落的关键环境因子。总的来说，我们的研究结果表明，土地利用方式可以显著改变土壤养分水平，从而影响细菌群落的结构。
