Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities

被引:8
|
作者
Baker, Christopher C. M. [1 ]
Barker, Amanda J. [2 ]
Douglas, Thomas A. [2 ]
Doherty, Stacey J. [1 ]
Barbato, Robyn A. [1 ]
机构
[1] US Army ERDC Cold Reg Res & Engn Lab, 72 Lyme Rd, Hanover, NH 03755 USA
[2] US Army ERDC Cold Reg Res & Engn Lab, 9th Ave,Bldg 4070, Ft Wainwright, AK 99703 USA
关键词
permafrost; soil microbial community; cryosphere; VERTICAL-DISTRIBUTION; ARCHAEAL COMMUNITIES; FUNCTIONAL DIVERSITY; BACTERIAL COMMUNITY; ORGANIC-CARBON; CLIMATE; IDENTIFICATION; DEGRADATION; CHEMISTRY; GRADIENT;
D O I
10.1088/1748-9326/acc542
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding how soil microbes respond to permafrost thaw is critical to predicting the implications of climate change for soil processes. However, our knowledge of microbial responses to warming is mainly based on laboratory thaw experiments, and field sampling in warmer months when sites are more accessible. In this study, we sampled a depth profile through seasonally thawed active layer and permafrost in the Imnavait Creek Watershed, Alaska, USA over the growing season from summer to late fall. Amplicon sequencing showed that bacterial and fungal communities differed in composition across both sampling depths and sampling months. Surface communities were most variable while those from the deepest samples, which remained frozen throughout our sampling period, showed little to no variation over time. However, community variation was not explained by trace metal concentrations, soil nutrient content, pH, or soil condition (frozen/thawed), except insofar as those measurements were correlated with depth. Our results highlight the importance of collecting samples at multiple times throughout the year to capture temporal variation, and suggest that data from across the annual freeze-thaw cycle might help predict microbial responses to permafrost thaw.
引用
收藏
页数:14
相关论文
共 24 条
  • [1] Near-surface permafrost extent and active layer thickness characterized by reanalysis/assimilation data
    Liu, Zequn
    Guo, Donglin
    Hua, Wei
    Chen, Yihui
    ATMOSPHERIC SCIENCE LETTERS, 2025, 26 (01):
  • [2] Interannual variations of the thermal regime of the active layer and near-surface permafrost in northern Alaska
    Romanovsky, VE
    Osterkamp, TE
    PERMAFROST AND PERIGLACIAL PROCESSES, 1995, 6 (04) : 313 - 335
  • [3] Landscape-scale variations in near-surface soil temperature and active-layer thickness: Implications for high-resolution permafrost mapping
    Zhang, Yu
    Touzi, Ridha
    Feng, Wanpeng
    Hong, Gang
    Lantz, Trevor C.
    Kokelj, Steven, V
    PERMAFROST AND PERIGLACIAL PROCESSES, 2021, 32 (04) : 627 - 640
  • [4] Metabolic diversity and seasonal variation of soil microbial communities in natural forested wetlands
    Wu, Di
    Chi, Qi
    Sui, Xin
    Zhang, Mengmeng
    Jia, Hongbai
    Sun, Guangyu
    JOURNAL OF FORESTRY RESEARCH, 2021, 32 (06) : 2619 - 2631
  • [5] Vegetation impact on the thermal regimes of the active layer and near-surface permafrost in the Greater Hinggan Mountains, Northeastern China
    XiaoLi Chang
    ShaoPeng Yu
    HuiJun Jin
    YanLin Zhang
    Sciences in Cold and Arid Regions, 2014, 6 (05) : 511 - 520
  • [6] Spatial and stratigraphic variation of near-surface ground ice in discontinuous permafrost of the taiga shield
    Paul, Jason R.
    Kokelj, Steven V.
    Baltzer, Jennifer L.
    PERMAFROST AND PERIGLACIAL PROCESSES, 2021, 32 (01) : 3 - 18
  • [7] Changes in active-layer thickness and near-surface permafrost between 2002 and 2012 in alpine ecosystems, Qinghai-Xizang (Tibet) Plateau, China
    Wu Qingbai
    Hou Yandong
    Yun Hanbo
    Liu Yongzhi
    GLOBAL AND PLANETARY CHANGE, 2015, 124 : 149 - 155
  • [8] Changes in near-surface permafrost temperature and active layer thickness in Northeast China in 1961-2020 based on GIPL model
    Huang, Shuai
    Ding, Qian
    Chen, Kezheng
    Hu, Zheng
    Liu, Yanjie
    Zhang, Xiaodong
    Gao, Kai
    Qiu, Kaichi
    Yang, Yang
    Ding, Lin
    COLD REGIONS SCIENCE AND TECHNOLOGY, 2023, 206
  • [9] On the Arctic near-surface permafrost and climate sensitivities to soil and snow model formulations in climate models
    J.-P. Paquin
    L. Sushama
    Climate Dynamics, 2015, 44 : 203 - 228
  • [10] Impact of fire on active layer and permafrost microbial communities and metagenomes in an upland Alaskan boreal forest
    Neslihan Taş
    Emmanuel Prestat
    Jack W McFarland
    Kimberley P Wickland
    Rob Knight
    Asmeret Asefaw Berhe
    Torre Jorgenson
    Mark P Waldrop
    Janet K Jansson
    The ISME Journal, 2014, 8 : 1904 - 1919