IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9284-d874634.html
   My bibliography  Save this article

Spatial Variation of Microbial Community Structure and Its Driving Environmental Factors in Two Forest Types in Permafrost Region of Greater Xing′an Mountains

Author

Listed:
  • Dandan Song

    (College of Geographical Sciences, Harbin Normal University, Harbin 150025, China)

  • Yuanquan Cui

    (Personnel Department, Harbin Normal University, Harbin 150025, China)

  • Dalong Ma

    (College of Geographical Sciences, Harbin Normal University, Harbin 150025, China)

  • Xin Li

    (College of Geographical Sciences, Harbin Normal University, Harbin 150025, China)

  • Lin Liu

    (College of Geographical Sciences, Harbin Normal University, Harbin 150025, China)

Abstract

Climate warming is accelerating permafrost degradation. Soil microorganisms play key roles in the maintenance of high-latitude permafrost regions and forest ecosystems’ functioning and regulation of biogeochemical cycles. In this study, we used Illumina MiSeq high-throughput sequencing to investigate soil bacterial community composition at a primeval Larix gmelinii forest and a secondary Betula platyphylla forest in a permafrost region of the Greater Xing’an Mountains. The Shannon diversity index tended to decrease and then increase with increasing soil depth, which was significantly higher in the L. gmelinii forest than in the B. platyphylla forest at 40–60 cm. Proteobacteria (19.86–29.68%), Acidobacteria (13.59–31.44%), Chloroflexi (11.04–27.19%), Actinobacteria (7.05–25.57%), Gemmatimonadetes (1.76–9.18%), and Verrucomicrobia (2.03–7.00%) were the predominant phyla of the bacterial community in two forest types. The relative abundance of Proteobacteria showed a decreasing trend in the B. platyphylla forest and an increasing trend in the L. gmelinii forest, whereas that of Chloroflexi increased and then decreased in the B. platyphylla forest and decreased in the L. gmelinii forest with increasing soil depth. The relative abundance of Acidobacteria was significantly higher in the B. platyphylla forest than in the L. gmelinii forest at 0–20 cm depth, whereas that of Actinobacteria was significantly higher in the L. gmelinii forest than in the B. platyphylla forest at 0–20 cm and 40–60 cm depth. Principal coordinate analysis (PCoA) and two-way analysis of variance (ANOVA) indicated that microbial community composition was more significantly influenced by forest type than soil depth. Redundancy analysis (RDA) showed that microbial community structure was strongly affected by soil physicochemical properties such as nitrate nitrogen (NO3−-N), pH, and total organic carbon (TOC). These results offer insights into the potential relationship between soil microbial community and forest conversion in high latitude permafrost ecosystems.

Suggested Citation

  • Dandan Song & Yuanquan Cui & Dalong Ma & Xin Li & Lin Liu, 2022. "Spatial Variation of Microbial Community Structure and Its Driving Environmental Factors in Two Forest Types in Permafrost Region of Greater Xing′an Mountains," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9284-:d:874634
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9284/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9284/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aditi Sengupta & Priyanka Kushwaha & Antonia Jim & Peter A. Troch & Raina Maier, 2020. "New Soil, Old Plants, and Ubiquitous Microbes: Evaluating the Potential of Incipient Basaltic Soil to Support Native Plant Growth and Influence Belowground Soil Microbial Community Composition," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    2. Han Ke & Jinghang Li & Xuanqi Zhang & Jie Hu, 2022. "Bacterial Community Structure and Predicted Metabolic Function of Landfilled Municipal Solid Waste in China," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    3. Zhenghu Zhou & Chuankuan Wang & Yiqi Luo, 2020. "Meta-analysis of the impacts of global change factors on soil microbial diversity and functionality," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    4. E. A. G. Schuur & A. D. McGuire & C. Schädel & G. Grosse & J. W. Harden & D. J. Hayes & G. Hugelius & C. D. Koven & P. Kuhry & D. M. Lawrence & S. M. Natali & D. Olefeldt & V. E. Romanovsky & K. Schae, 2015. "Climate change and the permafrost carbon feedback," Nature, Nature, vol. 520(7546), pages 171-179, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaodan Wang & Hua Ma & Chunyun Guan & Mei Guan, 2022. "Decomposition of Rapeseed Green Manure and Its Effect on Soil under Two Residue Return Levels," Sustainability, MDPI, vol. 14(17), pages 1-13, September.
    2. Lin Liu & Zhongliang Wang & Dalong Ma & Man Zhang & Lingyu Fu, 2022. "Diversity and Distribution Characteristics of Soil Microbes across Forest–Peatland Ecotones in the Permafrost Regions," IJERPH, MDPI, vol. 19(22), pages 1-15, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jinting Guo & Yuanman Hu & Zaiping Xiong & Xiaolu Yan & Chunlin Li & Rencang Bu, 2017. "Variations in Growing-Season NDVI and Its Response to Permafrost Degradation in Northeast China," Sustainability, MDPI, vol. 9(4), pages 1-15, April.
    2. Xiangwen Wu & Shuying Zang & Dalong Ma & Jianhua Ren & Qiang Chen & Xingfeng Dong, 2019. "Emissions of CO 2 , CH 4 , and N 2 O Fluxes from Forest Soil in Permafrost Region of Daxing’an Mountains, Northeast China," IJERPH, MDPI, vol. 16(16), pages 1-14, August.
    3. Brock, W. & Xepapadeas, A., 2017. "Climate change policy under polar amplification," European Economic Review, Elsevier, vol. 99(C), pages 93-112.
    4. Guillaume Patoine & Nico Eisenhauer & Simone Cesarz & Helen R. P. Phillips & Xiaofeng Xu & Lihua Zhang & Carlos A. Guerra, 2024. "Reply to: Field experiments show no consistent reductions in soil microbial carbon in response to warming," Nature Communications, Nature, vol. 15(1), pages 1-3, December.
    5. Dmitry Orlov & Marija Menshakova & Tomas Thierfelder & Yulia Zaika & Sepp Böhme & Birgitta Evengard & Natalia Pshenichnaya, 2020. "Healthy Ecosystems Are a Prerequisite for Human Health—A Call for Action in the Era of Climate Change with a Focus on Russia," IJERPH, MDPI, vol. 17(22), pages 1-11, November.
    6. Louise Kessler, 2015. "Estimating the economic impact of the permafrost carbon feedback," GRI Working Papers 219, Grantham Research Institute on Climate Change and the Environment.
    7. Zhichao Xu & Wei Shan & Ying Guo & Chengcheng Zhang & Lisha Qiu, 2022. "Swamp Wetlands in Degraded Permafrost Areas Release Large Amounts of Methane and May Promote Wildfires through Friction Electrification," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    8. Xiaoni You & Xiangying Li & Mika Sillanpää & Rong Wang & Chengyong Wu & Qiangqiang Xu, 2022. "Export of Dissolved Organic Carbon from the Source Region of Yangtze River in the Tibetan Plateau," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    9. Roman Desyatkin & Matrena Okoneshnikova & Alexandra Ivanova & Maya Nikolaeva & Nikolay Filippov & Alexey Desyatkin, 2022. "Dynamics of Vegetation and Soil Cover of Pyrogenically Disturbed Areas of the Northern Taiga under Conditions of Thermokarst Development and Climate Warming," Land, MDPI, vol. 11(9), pages 1-21, September.
    10. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.T., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," Ecological Economics, Elsevier, vol. 197(C).
    11. Chao Yue & Jinshi Jian & Philippe Ciais & Xiaohua Ren & Juying Jiao & Shaoshan An & Yu Li & Jie Wu & Pengyi Zhang & Ben Bond-Lamberty, 2024. "Field experiments show no consistent reductions in soil microbial carbon in response to warming," Nature Communications, Nature, vol. 15(1), pages 1-5, December.
    12. Andrei G. Shepelev & Alexander Kizyakov & Sebastian Wetterich & Alexandra Cherepanova & Alexander Fedorov & Igor Syromyatnikov & Grigoriy Savvinov, 2020. "Sub-Surface Carbon Stocks in Northern Taiga Landscapes Exposed in the Batagay Megaslump, Yana Upland, Yakutia," Land, MDPI, vol. 9(9), pages 1-16, August.
    13. Yiming Wang & Pengcheng Xiang, 2018. "Urban Sprawl Sustainability of Mountainous Cities in the Context of Climate Change Adaptability Using a Coupled Coordination Model: A Case Study of Chongqing, China," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    14. Junjie Ma & Ren Li & Tonghua Wu & Hongchao Liu & Xiaodong Wu & Guojie Hu & Wenhao Liu & Shenning Wang & Yao Xiao & Shengfeng Tang & Jianzong Shi & Yongping Qiao, 2024. "Dynamics of the Interaction between Freeze–Thaw Process and Surface Energy Budget on the Permafrost Region of the Qinghai-Tibet Plateau," Land, MDPI, vol. 13(10), pages 1-15, October.
    15. Jan Åge Riseth & Hans Tømmervik & Morten Tryland, 2020. "Spreading or Gathering? Can Traditional Knowledge Be a Resource to Tackle Reindeer Diseases Associated with Climate Change?," IJERPH, MDPI, vol. 17(16), pages 1-19, August.
    16. Rickels, Wilfried & Merk, Christine & Honneth, Johannes & Schwinger, Jörg & Quaas, Martin F. & Oschlies, Andreas, 2019. "Welche Rolle spielen negative Emissionen für die zukünftige Klimapolitik? Eine ökonomische Einschätzung des 1,5°C-Sonderberichts des Weltklimarats," Kiel Working Papers 2116, Kiel Institute for the World Economy (IfW Kiel).
    17. Zhenghu Zhou & Chuankuan Wang & Xinyu Cha & Tao Zhou & Xuesen Pang & Fazhu Zhao & Xinhui Han & Gaihe Yang & Gehong Wei & Chengjie Ren, 2024. "The biogeography of soil microbiome potential growth rates," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    18. Fouad El Ouardighi & Eugene Khmelnitsky & Marc Leandri, 2020. "Production-based pollution versus deforestation: optimal policy with state-independent and-dependent environmental absorption efficiency restoration process," Annals of Operations Research, Springer, vol. 292(1), pages 1-26, September.
    19. Charlotte J. Alster & Allycia Laar & Jordan P. Goodrich & Vickery L. Arcus & Julie R. Deslippe & Alexis J. Marshall & Louis A. Schipper, 2023. "Quantifying thermal adaptation of soil microbial respiration," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    20. Jianjian He & Pengyan Zhang & Wenlong Jing & Yuhang Yan, 2018. "Spatial Responses of Net Ecosystem Productivity of the Yellow River Basin under Diurnal Asymmetric Warming," Sustainability, MDPI, vol. 10(10), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9284-:d:874634. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.