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Near‐Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub‐Arctic Watershed

Journal Article · · Journal of Geophysical Research. Biogeosciences
DOI:https://doi.org/10.1029/2022JG006864· OSTI ID:1886712
 [1];  [2];  [2];  [3];  [4];  [2];  [2];  [2]
  1. Earth and Environmental Sciences Area Lawrence Berkeley National Laboratory Berkeley CA USA, Department of Physics University of California‐Berkeley Berkeley CA USA
  2. Earth and Environmental Sciences Area Lawrence Berkeley National Laboratory Berkeley CA USA
  3. Geophysical Institute University of Alaska Fairbanks Fairbanks AK USA
  4. Department of Renewable Resources University of Alberta Edmonton AB Canada
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Abstract

Discontinuous permafrost environments exhibit strong spatial heterogeneity at scales too small to be driven by weather forcing or captured by Earth System Models. Here we analyze effects of observed spatial heterogeneity in soil and vegetation properties, hydrology, and thermal dynamics on ecosystem carbon dynamics in a watershed on the Seward Peninsula in Alaska. We apply a Morris global sensitivity analysis to a process‐rich, successfully tested terrestrial ecosystem model (TEM), ecosys , varying soil properties, boundary conditions, and weather forcing. We show that landscape heterogeneity strongly impacts soil temperatures and vegetation composition. Snow depth, O‐horizon thickness, and near‐surface water content, which vary at scales of O(m), control the soil thermal regime more than an air temperature gradient corresponding to a 140 km north–south distance. High shrub productivity is simulated only in talik (perennially unfrozen) soils with high nitrogen availability. Through these effects on plant and permafrost dynamics, landscape heterogeneity impacts ecosystem productivity. Simulations with near‐surface taliks have higher microbial respiration (by 78.0 gC m −2  yr −1 ) and higher net primary productivity (by 104.9 gC m −2  yr −1 ) compared to runs with near‐surface permafrost, and simulations with high shrub productivity have outlying values of net carbon uptake. We explored the prediction uncertainty associated with ignoring observed landscape heterogeneity, and found that watershed net carbon uptake is 60% larger when heterogeneity is accounted for. Our results highlight the complexity inherent in discontinuous permafrost environments and demonstrate that missing representation of subgrid heterogeneity in TEMs could bias predictions of high‐latitude carbon budget.

Sponsoring Organization:
USDOE
Grant/Contract Number:
NONE; AC02-05CH11231
OSTI ID:
1886712
Alternate ID(s):
OSTI ID: 1885600
OSTI ID: 1886713
OSTI ID: 1924038
Journal Information:
Journal of Geophysical Research. Biogeosciences, Journal Name: Journal of Geophysical Research. Biogeosciences Journal Issue: 9 Vol. 127; ISSN 2169-8953
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

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