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Title: Divergent patterns of experimental and model-derived permafrost ecosystem carbon dynamics in response to Arctic warming

Journal Article · · Environmental Research Letters

In the last few decades, temperatures in the Arctic have increased twice as much as the rest of the globe. As permafrost thaws in response to this warming, large amounts of soil organic matter may become vulnerable to decomposition. Microbial decomposition will release carbon (C) from permafrost soils, however, warmer conditions could also lead to enhanced plant growth and C uptake. Field and modeling studies show high uncertainty in soil and plant responses to climate change but there have been few studies that reconcile field and model data to understand differences and reduce uncertainty. In this work, we evaluate gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem C exchange (NEE) from eight years of experimental soil warming in moist acidic tundra against equivalent fluxes from the Community Land Model (CLM) during simulations parameterized to reflect the field conditions associated with this manipulative field experiment. Over the eight-year experimental period, soil temperatures and thaw depths increased with warming in field observations and model simulations. However, the field and model results do not agree on warming effects on water table depth; warming created wetter soils in the field and drier soils in the models. In the field, initial increases in growing season GPP, Reco, and NEE to experimentally-induced permafrost thaw created a higher C sink capacity in the first years followed by a stronger C source in years six through eight. In contrast, both models predicted linear increases in GPP, Reco, and NEE with warming. The divergence of model results from field experiments reveals the role subsidence, hydrology, and nutrient cycling play in influencing the C flux responses to permafrost thaw, a complexity that the models are not structurally able to predict, and highlight challenges associated with projecting C cycle dynamics across the Arctic.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Florida, Gainesville, FL (United States); Northern Arizona Univ., Flagstaff, AZ (United States)
Sponsoring Organization:
Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division; National Science Foundation (NSF)
Grant/Contract Number:
AC02-05CH11231; AC05-00OR22725; 1331083; SC0006982; SC0014085; 0747195; 1026415; 1203777; PLR-1304220
OSTI ID:
1475225
Alternate ID(s):
OSTI ID: 1474445; OSTI ID: 1491363; OSTI ID: 1502578
Journal Information:
Environmental Research Letters, Journal Name: Environmental Research Letters Vol. 13 Journal Issue: 10; ISSN 1748-9326
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 30 works
Citation information provided by
Web of Science

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