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整合土壤理化性质与微生物功能预测以评估寒区湿地生态系统中的土地利用影响

Integrating Soil Physicochemical Properties and Microbial Functional Prediction to Assess Land-Use Impacts in a Cold-Region Wetland Ecosystem.

作者信息

Ding Junnan, Yu Shaopeng

机构信息

Heilongjiang Province Key Laboratory of Cold Region Wetland Ecology and Environment Research, Harbin University, Harbin 150086, China.

出版信息

Life (Basel). 2025 Jun 18;15(6):972. doi: 10.3390/life15060972.

Abstract

This study investigated the effects of land-use change and wetland restoration on soil microbial community diversity, structure, and function in a cold-region wetland ecosystem. Soil samples from six land-use types were analyzed for key physicochemical and biochemical properties, including soil water content, pH, total nitrogen, soil organic carbon (SOC), and enzymatic activities. Significant differences in carbon and nitrogen availability were observed, with restored wetland soils showing higher SOC and moisture levels, while agricultural soils exhibited elevated nitrate concentrations. Bacterial community composition was estimated based on 16S ribosomal RNA gene sequencing, and microbial functional profiles were predicted using Functional Annotation of Prokaryotic Taxa (FAPROTAX) and BugBase. Bacterial communities were dominated by , , and , with significant shifts among land-use types. Redundancy analysis revealed that SOC, SWC, total nitrogen (TN), and pH were key drivers of community differentiation. Functional prediction showed enrichment of fermentation and anaerobic metabolism in restored wetlands, while aerobic carbon metabolism dominated in agricultural and forest soils. These findings demonstrate that wetland restoration improves both taxonomic and functional diversity. While ecosystem multifunctionality and resilience were not directly quantified, the observed increases in microbial richness, functional group diversity, and enzymatic activity suggest enhanced ecological capacity and potential for system stability in cold-region wetlands.

摘要

本研究调查了土地利用变化和湿地恢复对寒区湿地生态系统土壤微生物群落多样性、结构和功能的影响。对六种土地利用类型的土壤样本进行了关键理化和生化性质分析,包括土壤含水量、pH值、总氮、土壤有机碳(SOC)和酶活性。观察到碳和氮有效性存在显著差异,恢复的湿地土壤显示出较高的SOC和水分水平,而农业土壤的硝酸盐浓度升高。基于16S核糖体RNA基因测序估计细菌群落组成,并使用原核生物分类功能注释(FAPROTAX)和BugBase预测微生物功能谱。细菌群落以 、 和 为主,土地利用类型之间存在显著变化。冗余分析表明,SOC、SWC、总氮(TN)和pH值是群落分化的关键驱动因素。功能预测显示,恢复湿地中发酵和厌氧代谢富集,而农业和森林土壤中好氧碳代谢占主导。这些发现表明,湿地恢复改善了分类和功能多样性。虽然没有直接量化生态系统多功能性和恢复力,但观察到的微生物丰富度、功能群多样性和酶活性增加表明,寒区湿地的生态能力和系统稳定性潜力增强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9793/12194709/949dda2e7ff1/life-15-00972-g001.jpg

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