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阈值与权衡:火灾严重程度调节中国东北针叶林土壤微生物生物量-功能耦合

Thresholds and Trade-Offs: Fire Severity Modulates Soil Microbial Biomass-Function Coupling in Taiga Forests, Northeast of China.

作者信息

Qu Huijiao, Jiang Siyu, Cheng Zhichao, Wei Dan, Yang Libin, Zhou Jia

机构信息

School of Geographical Sciences, Harbin Normal University, Harbin 150025, China.

Key Laboratory of Biodiversity, Institute of Natural Resources and Ecology, Heilongjiang Academy of Sciences, Harbin 150040, China.

出版信息

Microorganisms. 2025 Jun 5;13(6):1318. doi: 10.3390/microorganisms13061318.

Abstract

Forest fires critically disrupt soil ecosystems by altering physicochemical properties and microbial structure-function dynamics. This study assessed short-term impacts of fire intensities (light/moderate/heavy) on microbial communities in forests one year post-fire. Using phospholipid fatty acid (PLFA) and Biolog EcoPlate analyses, we found the following: (1) fire reduced soil organic carbon (SOC), dissolved organic carbon (DOC), total nitrogen (TN), and available nitrogen/potassium (AN/AK) via pyrolytic carbon release, while heavy-intensity fires enriched available phosphorus (AP), AN, and AK through ash deposition. (2) Thermal mortality and nutrient-pH-moisture stress persistently suppressed microbial biomass and metabolic activity. Moderate fires increased taxonomic richness but reduced functional diversity, confirming "functional redundancy." (3) Neither soil microbial biomass nor metabolic activity at the fire site reached pre-fire levels after one year of recovery. Our findings advance post-fire soil restoration frameworks and advocate multi-omics integration to decode fire-adapted functional gene networks, guiding climate-resilient forest management.

摘要

森林火灾通过改变物理化学性质和微生物结构-功能动态,严重破坏土壤生态系统。本研究评估了火灾强度(轻度/中度/重度)对火灾发生一年后森林中微生物群落的短期影响。通过磷脂脂肪酸(PLFA)和Biolog生态板分析,我们发现:(1)火灾通过热解碳释放减少了土壤有机碳(SOC)、溶解有机碳(DOC)、总氮(TN)以及有效氮/钾(AN/AK),而高强度火灾通过灰分沉积增加了有效磷(AP)、AN和AK。(2)热致死率和养分-酸碱度-水分胁迫持续抑制微生物生物量和代谢活性。中度火灾增加了分类丰富度,但降低了功能多样性,证实了“功能冗余”。(3)火灾发生一年后,火灾现场的土壤微生物生物量和代谢活性均未恢复到火灾前水平。我们的研究结果推进了火灾后土壤恢复框架,并倡导多组学整合以解码适应火灾的功能基因网络,指导具有气候适应能力的森林管理。

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