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Soil organic carbon pools in the northern circumpolar permafrost region

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TLDR
In this article, the authors reported a new estimate of the carbon pools in soils of the northern permafrost region, including deeper layers and pools not accounted for in previous analyses.
Abstract
of all soils in the northern permafrost region is approximately 18,782 � 10 3 km 2 ,o r approximately 16% of the global soil area. In the northern permafrost region, organic soils (peatlands) and cryoturbated permafrost-affected mineral soils have the highest mean soil organic carbon contents (32.2–69.6 kg m �2 ). Here we report a new estimate of the carbon pools in soils of the northern permafrost region, including deeper layers and pools not accounted for in previous analyses. Carbon pools were estimated to be 191.29 Pg for the 0–30 cm depth, 495.80 Pg for the 0–100 cm depth, and 1024.00 Pg for the 0–300 cm depth. Our estimate for the first meter of soil alone is about double that reported for this region in previous analyses. Carbon pools in layers deeper than 300 cm were estimated to be 407 Pg in yedoma deposits and 241 Pg in deltaic deposits. In total, the northern permafrost region contains approximately 1672 Pg of organic carbon, of which approximately 1466 Pg, or 88%, occurs in perennially frozen soils and deposits. This 1672 Pg of organic carbon would account for approximately 50% of the estimated global belowground organic carbon pool.

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SOMPROF: A vertically explicit soil organic matter model

TL;DR: In this paper, a vertically explicit soil organic matter (SOM) model, called SOMPROF, is proposed to simulate the vertical SOM profile and organic layer stocks based on mechanistic representations of bioturbation, liquid phase transport of organic matter, and vertical distribution of root litter input.
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DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands

TL;DR: In this paper, the Dynamical Peatland Model Based on TOPMODEL (DYPTOP) is proposed to predict the extent of inundation based on a computationally efficient TOPMOD model implementation.
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Inventories and behavior of particulate organic carbon in the Laptev and East Siberian seas

TL;DR: Inventories and behavior of particulate organic carbon in the Laptev and East Siberian Seas were studied in this paper, showing that organic carbon emissions are relatively low in both regions.
Journal ArticleDOI

Old soil carbon losses increase with ecosystem respiration in experimentally thawed tundra

TL;DR: This article used C isotopes to partition ecosystem respiration sources in a subarctic warming experiment and found that old soil contributions increased with soil temperature but that carbon losses were modulated by plant responses to warming.
References
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Temperature sensitivity of soil carbon decomposition and feedbacks to climate change

TL;DR: This work has suggested that several environmental constraints obscure the intrinsic temperature sensitivity of substrate decomposition, causing lower observed ‘apparent’ temperature sensitivity, and these constraints may, themselves, be sensitive to climate.
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The vertical distribution of soil organic carbon and its relation to climate and vegetation

TL;DR: In this paper, the authors examined the association of soil organic carbon (SOC) content with climate and soil texture at different soil depths, and tested the hypothesis that vegetation type, through patterns of allocation, is a dominant control on the vertical distribution of SOC.
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Northern Peatlands: Role in the Carbon Cycle and Probable Responses to Climatic Warming.

TL;DR: Satellite-monitoring of the abundance of open water in the peatlands of the West Siberian Plain and the Hudson/James Bay Lowland is suggested as a likely method of detecting early effects of climatic warming upon boreal and subarctic peatland environments.
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Total carbon and nitrogen in the soils of the world

TL;DR: In this article, a discrepancy of approximately 350 × 1015 g (or Pg) of C in two recent estimates of soil carbon reserves worldwide is evaluated using the geo-referenced database developed for the World Inventory of Soil Emission Potentials (WISE) project.
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