Li Weike, Liu Xiaodong, Niu Shukui
Beijing Key Laboratory for Forest Resources and Ecosystem Processes, Beijing Forestry University, Beijing, China.
Fire Engineering, China Fire and Rescue Institute, Beijing, China.
PeerJ. 2019 Dec 11;7:e8047. doi: 10.7717/peerj.8047. eCollection 2019.
is found to be dominant and abundant in forest soil, and performs specific ecological functions (such as cellulose decomposition and photosynthetic capacity, etc.). However, relative limited is known about its changing patterns after a fire interruption. In this study, the response of soil to a wildfire disturbance was investigated using the Illumina MiSeq sequencing system. The research area was classified by different severities of fire damage (high, moderate, and low severity, and an unburnt area), and samples were collected from various soil layers (0-10 cm as topsoil; 10-20 cm as subsoil). We obtained a total of 986,036 sequence reads; 31.77% of them belonged to . Overall, 18 different subgroups were detected, with subgroups 4, 6, 1, 3, and 2 the most abundant, accounting for 31.55%, 30.84%, 17.42%, 6.02%, and 5.81% of acidobacterial sequences across all samples, respectively. Although no significant differences in acidobacterial diversity were found in the same soil layer across different fire severities, we observed significantly lower numbers of reads, but higher Shannon and Simpson indices, in the topsoil of the high-severity fire area than in the subsoil. Non-metric multidimensional scaling (NMDS) analysis and permutational multivariate analysis of variance (PERMANOVA) also revealed significant differences in the acidobacterial community structure between the two soil layers. Soil pH, total nitrogen, NH -N, the Shannon index of understory vegetation and canopy density were the major drivers for acidobacterial community structure in the topsoil, while soil pH and organic matter were significant factors in the subsoil. A variance partitioning analysis (VPA) showed that edaphic factors explained the highest variation both in the topsoil (15.6%) and subsoil (56.3%). However, there are large gaps in the understanding of this field of research that still need to be explored in future studies.
在森林土壤中被发现占主导地位且数量丰富，并具有特定的生态功能（如纤维素分解和光合能力等）。然而，关于火灾干扰后其变化模式的了解相对有限。在本研究中，使用Illumina MiSeq测序系统研究了土壤对野火干扰的响应。研究区域根据火灾损害的不同严重程度（高、中、低严重程度以及未燃烧区域）进行分类，并从不同土壤层（0 - 10厘米为表土；10 - 20厘米为底土）采集样本。我们总共获得了986,036条序列读数；其中31.77%属于……总体而言，检测到18个不同的……亚组，亚组4、6、1、3和2最为丰富，分别占所有样本中酸杆菌序列的31.55%、30.84%、17.42%、6.02%和5.81%。尽管在不同火灾严重程度下同一土壤层中酸杆菌多样性没有显著差异，但我们观察到高严重程度火灾区域表土中的读数数量显著低于底土，但香农指数和辛普森指数更高。非度量多维尺度分析（NMDS）和置换多元方差分析（PERMANOVA）也揭示了两个土壤层之间酸杆菌群落结构的显著差异。土壤pH值、总氮、NH₄⁺ - N、林下植被的香农指数和树冠密度是表土中酸杆菌群落结构的主要驱动因素，而土壤pH值和有机质是底土中的重要因素。方差分解分析（VPA）表明，土壤因子在表土（15.6%）和底土（56.3%）中解释的变异最高。然而，在这个研究领域的理解上仍存在很大差距，未来的研究仍需进一步探索。
