Sobol' sensitivity analysis of the Holocene Peat Model: What drives carbon accumulation in peatlands?

被引:13
作者
Quillet, Anne [1 ,2 ]
Garneau, Michelle [1 ,3 ]
Frolking, Steve [4 ]
机构
[1] Univ Quebec, GEOTOP, Montreal, PQ H2X 3Y7, Canada
[2] Univ Quebec, Inst Environm Sci, Montreal, PQ H2X 3Y7, Canada
[3] Univ Quebec, Dept Geog, Montreal, PQ H2X 3Y7, Canada
[4] Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
基金
美国国家科学基金会;
关键词
TESTATE AMEBAS; CLIMATE-CHANGE; RAISED-BOG; DYNAMICS; SPHAGNUM; RATES; DECOMPOSITION; FINLAND; BOREAL; RECONSTRUCTION;
D O I
10.1029/2012JG002092
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding the development of northern peatlands and their carbon accumulation dynamics is crucial in order to confidently integrate northern peatlands into global carbon cycle models. To achieve this, northern peatland models are becoming increasingly complex and now include feedback processes between peat depth, decomposition, hydrology, and vegetation composition and productivity. Here we present results from a global sensitivity analysis performed to assess the behavior and parameter interaction of a peatland simulation model. A series of simulations of the Holocene Peat Model were performed with different parameter combinations in order to assess the role of parameter interactions on the simulated total carbon mass after 5000 years of peatland development. The impact of parameter uncertainty on the simulation results is highlighted, as is the importance of multiple parameter interactions. The model sensitivity indicates that peat physical properties play an important role in peat accumulation; these parameters are poorly constrained by observations and should be a focus of future research. Furthermore, the results show that autogenic processes are able to produce a wide range of peatland development behaviors independently of any external environmental changes. Citation: Quillet, A., M. Garneau, and S. Frolking (2013), Sobol' sensitivity analysis of the Holocene Peat Model: What drives carbon accumulation in peatlands?, J. Geophys. Res. Biogeosci., 118, 203-214, doi:10.1029/2012JG002092.
引用
收藏
页码:203 / 214
页数:12
相关论文
共 35 条
  • [21] Quantifying peat carbon accumulation in Alaska using a process-based biogeochemistry model
    Wang, Sirui
    Zhuang, Qianlai
    Yu, Zicheng
    Bridgham, Scott
    Keller, Jason K.
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2016, 121 (08) : 2172 - 2185
  • [22] Carbon accumulation rates of Holocene peatlands in central-eastern Europe document the driving role of human impact over the past 4000 years
    Longman, Jack
    Veres, Daniel
    Haliuc, Aritina
    Finsinger, Walter
    Ersek, Vasile
    Pascal, Daniela
    Sava, Tiberiu
    Begy, Robert
    CLIMATE OF THE PAST, 2021, 17 (06) : 2633 - 2652
  • [23] The MILLENNIA peat cohort model: predicting past, present and future soil carbon budgets and fluxes under changing climates in peatlands
    Heinemeyer, Andreas
    Croft, Simon
    Garnett, Mark H.
    Gloor, Emanuel
    Holden, Joseph
    Lomas, Mark R.
    Ineson, Phil
    CLIMATE RESEARCH, 2010, 45 (01) : 207 - 226
  • [24] Peatlands and their carbon dynamics in northern high latitudes from 1990 to 2300: a process-based biogeochemistry model analysis
    Zhao, Bailu
    Zhuang, Qianlai
    BIOGEOSCIENCES, 2023, 20 (01) : 251 - 270
  • [25] High-resolution records of late-Holocene climate change and carbon accumulation in two north-west European ombrotrophic peat bogs
    Mauquoy, D
    Engelkes, T
    Groot, MHM
    Markesteijn, F
    Oudejans, MG
    van der Plicht, J
    van Geel, B
    PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2002, 186 (3-4) : 275 - 310
  • [26] Integrating peatlands and permafrost into a dynamic global vegetation model: 2. Evaluation and sensitivity of vegetation and carbon cycle processes
    Wania, R.
    Ross, I.
    Prentice, I. C.
    GLOBAL BIOGEOCHEMICAL CYCLES, 2009, 23
  • [27] Sensitivity of Holocene atmospheric CO2 and the modern carbon budget to early human land use: analyses with a process-based model
    Stocker, B. D.
    Strassmann, K.
    Joos, F.
    BIOGEOSCIENCES, 2011, 8 (01) : 69 - 88
  • [28] What drives the change in China's provincial industrial carbon unlocking efficiency? Evidence from a geographically and temporally weighted regression model
    Li, Dongliang
    Zhou, Zhanhang
    Cao, Linjian
    Zhao, Kuokuo
    Li, Bo
    Ding, Ci
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 856
  • [29] What drives the spatial-temporal differentiation of transportation carbon emissions in China? Evidence based on the optimal parameter-based geographic detector model
    Peng, Zhimin
    Li, Miao
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [30] Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils
    Yu, Y. Y.
    Finke, P. A.
    Wu, H. B.
    Guo, Z. T.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2013, 6 (01) : 29 - 44