A simplified, data-constrained approach to estimate the permafrost carbon–climate feedback
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division
- Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society
- Univ. of Washington, Seattle, WA (United States). Dept. of Civil and Environmental Engineering; Arizona State Univ., Tempe, AZ (United States). School of Earth and Space Exploration
- Met Office Hadley Centre, Exeter (United Kingdom)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
- Univ. of Washington, Seattle, WA (United States). Dept. of Civil and Environmental Engineering
- Lab. des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette (France)
- Alfred Wegener Inst., Helmholtz Centre for Polar and Marine Research, Potsdam (Germany). Periglacial Research Unit
- U.S. Geological Survey, Menlo Park, CA (United States)
- Stockholm Univ. (Sweden). Dept. of Physical Geography. Bolin Centre of Climate Research
- Univ. of Colorado, Boulder, CO (United States). National Snow and Ice Data Center
- CNRS and Univ. Grenoble Alpes, Grenoble (France). Lab. de Glaciologie et Geophysique de l'Environnement
- National Center for Atmospheric Research, Boulder, CO (United States). Climate and Global Dynamics Division
- Univ. of Victoria, BC (Canada). School of Earth and Ocean Sciences
- Univ. of Alaska, Fairbanks, AK (United States). Geophysical Inst. Permafrost Lab.
- Univ. of Alaska, Fairbanks, AK (United States). US Geological Survey. Alaska Cooperative Fish and Wildlife Research Unit
- Woods Hole Research Center, Falmouth, MA (United States)
- Univ. of Alberta, Edmonton, AB (Canada). Dept. of Renewable Resources
- Lab. des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette (France); CNRS and Univ. Grenoble Alpes, Grenoble (France). Lab. de Glaciologie et Geophysique de l'Environnement
- Univ. of Ontario, Guelph, ON (Canada). Dept. of Integrative Biology
We present an approach to estimate the feedback from large-scale thawing of permafrost soils using a simplified, data-constrained model that combines three elements: soil carbon (C) maps and profiles to identify the distribution and type of C in permafrost soils; incubation experiments to quantify the rates of C lost after thaw; and models of soil thermal dynamics in response to climate warming. We call the approach the Permafrost Carbon Network Incubation-Panarctic Thermal scaling approach (PInc-PanTher). The approach assumes that C stocks do not decompose at all when frozen, but once thawed follow set decomposition trajectories as a function of soil temperature. The trajectories are determined according to a three-pool decomposition model fitted to incubation data using parameters specific to soil horizon types. We calculate litterfall C inputs required to maintain steady-state C balance for the current climate, and hold those inputs constant. Soil temperatures are taken from the soil thermal modules of ecosystem model simulations forced by a common set of future climate change anomalies under two warming scenarios over the period 2010 to 2100. Under a medium warming scenario (RCP4.5), the approach projects permafrost soil C losses of 12.2-33.4 Pg C; under a high warming scenario (RCP8.5), the approach projects C losses of 27.9-112.6 Pg C. Projected C losses are roughly linearly proportional to global temperature changes across the two scenarios. These results indicate a global sensitivity of frozen soil C to climate change (γ sensitivity) of -14 to -19 PgC°C -1 on a 100 year time scale. For CH 4 emissions, our approach assumes a fixed saturated area and that increases in CH 4 emissions are related to increased heterotrophic respiration in anoxic soil, yielding CH 4 emission increases of 7% and 35% for the RCP4.5 and RCP8.5 scenarios, respectively, which add an additional greenhouse gas forcing of approximately 10-18%. The simplified approach presented here neglects many important processes that may amplify or mitigate C release from permafrost soils, but serves as a data-constrained estimate on the forced, large-scale permafrost C response to warming.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Grant/Contract Number:
- AC02-05CH11231; SC0006982; FC03-97ER62402/A010; ARC-1048997; ARC-1048987
- OSTI ID:
- 1265528
- Alternate ID(s):
- OSTI ID: 1257635; OSTI ID: 1378647
- Journal Information:
- Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences, Vol. 373, Issue 2054; ISSN 1364-503X
- Publisher:
- The Royal Society PublishingCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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