生物多样性

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玉龙雪山森林火烧迹地恢复年限对滇牡丹土壤细菌群落的影响

杨文高, 李兆光, 袁文珏, 和桂青, 王蕊, 和琼姬, 叶磊, 李燕, 侯志江*   

  1. 云南省农业科学院高山经济植物研究所,云南丽江 674199
  • 收稿日期:2025-08-22 修回日期:2026-01-06 接受日期:2026-03-20
  • 通讯作者: 侯志江

The influence of restoration years on soil bacterial communities: A case study of Paeonia delavayi in post-fire forest sites of Yulong Snow Mountain, Yunnan, China

Wengao Yang, Zhaoguang Li, Wenjue Yuan, Guiqing He, Rui Wang, Qiongji He, Lei Ye, Yan Li, Zhijiang Hou*   

  1. Institute of Alpine Economic Plant, Yunnan Academy of Agricultural Sciences, Lijiang, Yunnan 674199, China
  • Received:2025-08-22 Revised:2026-01-06 Accepted:2026-03-20
  • Contact: Zhijiang Hou

摘要: 土壤细菌群落作为维系植物–土壤互作过程的关键纽带,在参与调控土壤生物地球化学循环,促进植物群落演替和驱动土壤生态功能恢复方面具有重要的作用。目前,对高海拔退化森林生态系统植被恢复进程中土壤细菌群落组成、多样性及功能演变特征及其影响因素认识尚不清晰。本研究选取滇西北玉龙雪山退化森林火烧迹地以乡土灌木滇牡丹(Paeonia delavayi)恢复1年(1Y)、恢复3年(3Y)、恢复6年(6Y)及火后自然演替的裸地为对象,通过测定土壤理化性质,采用Illumina MiSeq高通量测序技术分析不同恢复年限土壤细菌群落组成、多样性和功能演替过程及其相关性。结果表明:(1)随着恢复年限的增加,土壤有机碳(SOC)、全氮(TN)、速效氮(AN)、全磷(TP)含量和含水量(SMC)先显著下降后逐渐上升,而全钾(TK)含量和pH值则呈先上升后下降的趋势,恢复6年的土壤速效磷(AP)和速效钾(AK)含量显著高于裸地。(2)恢复3年和6年土壤细菌群落Shannon-Wiener指数、Simpson指数和Pielou指数均显著低于恢复1年和裸地,但Chao1指数在不同恢复年限间无显著差异。土壤细菌群落β多样性在不同恢复年限间发生极显著变化。土壤细菌假单胞菌门、酸杆菌门和疣微菌门相对丰度随着恢复年限的增加而显著降低,而放线菌门和芽单胞菌门相对丰度显著升高,绿弯菌门相对丰度则在恢复1年时显著最高。参与N循环的慢生根瘤菌属(Bradyrhizobium)、分枝杆菌属(Mycobacterium)和P循环的芽单胞菌属(Gemmatimonas)相对丰度随着恢复年限的增加显著升高,而具有生物防治功能的雷氏菌属(Reyranella)、芽孢杆菌属(Bacillus)相对丰度呈现降低的趋势。(3) RDA分析结果显示,土壤AN、AK、TK、TN、SOC、SMC和pH显著影响了土壤细菌群落组成。结构方程模型表明,恢复年限越长土壤细菌群落多样性越低,同时SOC通过调控土壤全量养分和pH间接影响土壤细菌群落组成,而恢复年限可以通过积极影响土壤速效养分间接提升土壤细菌群落组成。综上所述,退化森林火烧迹地恢复3年是滇牡丹根系土壤理化性质特征、土壤细菌群落多样性、优势菌丰度及功能菌组成格局演替的关键拐点。土壤速效养分随着恢复年限不断改善,土壤细菌群落组成在植被恢复后期会得到明显提高。

关键词: 土壤细菌群落, 滇牡丹, 恢复年限, 森林火烧迹地

Abstract

Aims: Soil bacterial communities serve as pivotal links sustaining plant–soil interaction processes. They play essential roles in regulating soil biogeochemical cycles, facilitating plant community succession, and driving the restoration of soil ecological functions. Currently, the compositional shifts, diversity patterns, functional succession, and underlying influence factors of soil bacterial communities during vegetation restoration in degraded high-altitude forest ecosystems remain poorly understood. 

Methods: We investigated degraded post-fire forest sites of Yulong Snow Mountain in Northwest Yunnan, China, restored with the native shrub Paeonia delavayi for 1-year (1Y), 3-year (3Y), and 6-year (6Y), as well as bare ground formed by post-fire forest undergoing natural succession. Soil physicochemical properties were characterized, and Illumina MiSeq high-throughput sequencing was employed to analyze the composition, diversity, and relationship of functional succession in soil bacterial communities in restoration years. 

Results: (1) With increasing restoration years, soil organic carbon (SOC), total nitrogen (TN), available nitrogen (AN), total phosphorus (TP), and soil moisture content (SMC) decreased significantly initially and then increased gradually. Conversely, total potassium (TK) and pH showed an initial increase followed by a decrease. Available phosphorus (AP) and available potassium (AK) in 6-year restoration sites were significantly higher than those in bare ground. (2) Shannon-Wiener, Simpson, and Pielou indices of soil bacterial communities were significantly lower in 3-year and 6-year restoration than in 1-year restoration and bare ground, though Chao1 index showed no significant differences across restoration years. β-diversity showed significant alterations across restoration years. The relative abundances of Pseudomonadota, Acidobacteriota, and Verrucomicrobiota declined markedly with restoration years, whereas Actinomycetota and Gemmatimonadota increased significantly. Chloroflexota peaked in 1-year restoration. The relative abundances of Bradyrhizobium and Mycobacterium (involved in nitrogen cycling) and Gemmatimonas (involved in phosphorus cycling) increased significantly with the restoration years, whereas the relative abundances of Reyranella and Bacillus (biocontrol-associated genera) showed a decreasing trend. (3) RDA analysis indicated that AN, AK, TK, TN, SOC, SMC, and pH significantly shaped bacterial community composition. Structural equation modeling demonstrated that: soil bacterial community diversity exhibited a significant negative correlation with restoration years, while SOC indirectly influenced the community composition by regulating total nutrient content and pH. Conversely, restoration years positively enhanced soil bacterial community composition through its indirect effects on available nutrient. 

Conclusion: A critical shift in the rhizosphere soil of Paeonia delavayi—encompassing physicochemical characteristics, bacterial diversity, abundance of dominant species, and the composition of functional groups—occurred at the 3-year mark of restoration in the degraded post-fire forest. Soil available nutrients continuously improved with restoration years, and the bacterial community composition was significantly enhanced in the later stages of vegetation restoration.

Key words: bacterial community, Paeonia delavayi, restoration years, post-fire forest sites