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真菌而非细菌的多样性和网络复杂性促进了路边边坡恢复过程中的网络稳定性。

Fungal, but not bacterial, diversity and network complexity promote network stability during roadside slope restoration.

机构信息

CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, P.O. Box 416, Chengdu 610041, China; School of Ecology and Environment, Hainan University, China.

College of Geography and Resources, Sichuan Normal University, Chengdu 610101, China.

出版信息

Sci Total Environ. 2024 Apr 20;922:171007. doi: 10.1016/j.scitotenv.2024.171007. Epub 2024 Feb 23.

Abstract

To restore degraded roadside ecosystems, conventional methods such as revegetation and soil amendment are frequently employed. However, our understanding of the long-term effects of these restoration approaches on soil microbial diversity and network complexity across different vegetation types remains poor, which contributes to poor restoration outcomes. In this study, we explored the effects of roadside slope restoration on microbial communities across different vegetation types at varying stages of restoration. We found that restoration time had a more pronounced impact on microbial diversity than specific vegetation type. As restoration progressed, microbial network complexity and fungal diversity increased, but bacterial diversity declined, suggesting that keystone taxa may contribute to network complexity. Interestingly, bacterial network complexity increased concomitant with decreasing network modularity and robustness, which may compromise system stability. Distinct vegetation types were associated with restoration-sensitive microbial communities at different restoration stages. Leguminouse and nitrogen-fixing plants, such as Albiziak alkora, Ginkgo biloba, Rhus chinensis, Rhapis excels, and Rubia cordifolia exhibited such associations after five years of restoration. These keystone taxa included Proteobacteria, Actinobacteria, Chloroflexi, Gemmatimonadota, and Myxococcota. We also found that bacterial alpha diversity was significantly correlated with restoration time, soil pH, moisture, available phosphate, nitrate nitrogen, and plant height, while fungal diversity was primarily shaped by restoration time. Together, our findings suggest that soil properties, environmental factors, vegetation type, and dominant species can be manipulated to guide the trajectory of ecological recovery by regulating the abundance of certain microbial taxa.

摘要

为了恢复退化的路边生态系统,常采用植被恢复和土壤改良等常规方法。然而,我们对这些恢复方法对不同植被类型土壤微生物多样性和网络复杂性的长期影响的理解仍然很差,这导致了恢复效果不佳。在这项研究中,我们探讨了不同植被类型在不同恢复阶段的路边边坡恢复对微生物群落的影响。我们发现,恢复时间对微生物多样性的影响比特定植被类型更为显著。随着恢复的进行,微生物网络复杂性和真菌多样性增加,但细菌多样性下降,这表明关键类群可能有助于网络复杂性。有趣的是,细菌网络复杂性的增加伴随着网络模块性和稳健性的降低,这可能会影响系统的稳定性。不同的植被类型与不同恢复阶段的恢复敏感微生物群落有关。在经过五年的恢复后,豆科和固氮植物,如 Albizia kalkora、银杏、火炬松、凤尾竹和茜草,表现出了这种关联。这些关键类群包括变形菌门、放线菌门、绿弯菌门、芽单胞菌门和粘球菌门。我们还发现,细菌α多样性与恢复时间、土壤 pH 值、水分、有效磷、硝态氮和植物高度显著相关,而真菌多样性主要受恢复时间的影响。总的来说,我们的研究结果表明,可以通过调节某些微生物类群的丰度来操纵土壤特性、环境因素、植被类型和优势物种,以指导生态恢复的轨迹。

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