Circumpolar assessment of permafrost C quality and its vulnerability over time using long-term incubation data

被引:232
|
作者
Schaedel, Christina [1 ]
Schuur, Edward A. G. [1 ]
Bracho, Rosvel [1 ]
Elberling, Bo [2 ,3 ]
Knoblauch, Christian [4 ]
Lee, Hanna [5 ]
Luo, Yiqi [6 ]
Shaver, Gaius R. [7 ]
Turetsky, Merritt R. [8 ]
机构
[1] Univ Florida, Dept Biol, Gainesville, FL USA
[2] Univ Copenhagen, Dept Geosci & Nat Resource Management, Ctr Permafrost CENPERM, Copenhagen, Denmark
[3] Univ Ctr Svalbard, UNIS, Longyearbyen, Norway
[4] Univ Hamburg, Inst Soil Sci, Hamburg, Germany
[5] Natl Ctr Atmospher Res, Climate & Global Dynam Div, Boulder, CO 80307 USA
[6] Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
[7] Marine Biol Lab, Ecosyst Ctr, Woods Hole, MA 02543 USA
[8] Univ Guelph, Dept Integrat Biol, Guelph, ON N1G 2W1, Canada
基金
美国国家科学基金会; 新加坡国家研究基金会;
关键词
Alaska; boreal forest; C decomposition; climate change; Siberia; soil organic carbon; tundra; SOIL ORGANIC-MATTER; TEMPERATURE SENSITIVITY; CARBON RELEASE; CLIMATE; DECOMPOSITION; FOREST; CO2; TURNOVER; PEAT; ECOSYSTEMS;
D O I
10.1111/gcb.12417
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
High-latitude ecosystems store approximately 1700Pg of soil carbon (C), which is twice as much C as is currently contained in the atmosphere. Permafrost thaw and subsequent microbial decomposition of permafrost organic matter could add large amounts of C to the atmosphere, thereby influencing the global C cycle. The rates at which C is being released from the permafrost zone at different soil depths and across different physiographic regions are poorly understood but crucial in understanding future changes in permafrost C storage with climate change. We assessed the inherent decomposability of C from the permafrost zone by assembling a database of long-term (>1year) aerobic soil incubations from 121 individual samples from 23 high-latitude ecosystems located across the northern circumpolar permafrost zone. Using a three-pool (i.e., fast, slow and passive) decomposition model, we estimated pool sizes for C fractions with different turnover times and their inherent decomposition rates using a reference temperature of 5 degrees C. Fast cycling C accounted for less than 5% of all C in both organic and mineral soils whereas the pool size of slow cycling C increased with C:N. Turnover time at 5 degrees C of fast cycling C typically was below 1year, between 5 and 15years for slow turning over C, and more than 500years for passive C. We project that between 20 and 90% of the organic C could potentially be mineralized to CO2 within 50 incubation years at a constant temperature of 5 degrees C, with vulnerability to loss increasing in soils with higher C:N. These results demonstrate the variation in the vulnerability of C stored in permafrost soils based on inherent differences in organic matter decomposability, and point toward C:N as an index of decomposability that has the potential to be used to scale permafrost C loss across landscapes.
引用
收藏
页码:641 / 652
页数:12
相关论文
共 50 条
  • [31] Structural condition assessment of long-span suspension bridges using long-term monitoring data
    Deng Yang~+
    ++ Assistant Professor
    ~§Professor
    EarthquakeEngineeringandEngineeringVibration, 2010, 9 (01) : 123 - 131
  • [32] Structural condition assessment of long-span suspension bridges using long-term monitoring data
    Deng, Y.
    Ding, Y. L.
    Li, A. Q.
    BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, 2010, : 1993 - 2000
  • [33] Structural condition assessment of long-span suspension bridges using long-term monitoring data
    Deng Yang
    Ding Youliang
    Li Aiqun
    Earthquake Engineering and Engineering Vibration, 2010, 9 : 123 - 131
  • [34] Structural condition assessment of long-span suspension bridges using long-term monitoring data
    Deng Yang
    Ding Youliang
    Li Aiqun
    EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION, 2010, 9 (01) : 123 - 131
  • [35] Fatigue reliability assessment for bridge welded details using long-term monitoring data
    Deng Yang
    Ding YouLiang
    Li AiQun
    Zhou GuangDong
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2011, 54 (12) : 3371 - 3381
  • [36] Model Performance Assessment for Long-Term Vessel Prediction Using HFSW Radar Data
    Vivone, Gemine
    Millefiori, Leonardo M.
    Braca, Paolo
    Willett, Peter
    2017 IEEE RADAR CONFERENCE (RADARCONF), 2017, : 243 - 247
  • [37] Drought avoidance assessment for summer annual crops using long-term weather data
    Purcell, LC
    Sinclair, TR
    McNew, RW
    AGRONOMY JOURNAL, 2003, 95 (06) : 1566 - 1576
  • [38] Fatigue reliability assessment for bridge welded details using long-term monitoring data
    Yang Deng
    YouLiang Ding
    AiQun Li
    GuangDong Zhou
    Science China Technological Sciences, 2011, 54 : 3371 - 3381
  • [39] Performance assessment of Jiangyin Bridge using long-term structural health monitoring data
    Zhou, H. F.
    Ni, Y. Q.
    Guo, Y. L.
    Ko, J. M.
    BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, 2010, : 2969 - 2978
  • [40] Climate-risk assessment for winter wheat using long-term weather data
    Lollato, Romulo P.
    Bavia, Guilherme P.
    Perin, Vinicius
    Knapp, Mary
    Santos, Eduardo A.
    Patrignani, Andres
    DeWolf, Erick D.
    AGRONOMY JOURNAL, 2020, 112 (03) : 2132 - 2151