Global patterns of soil nitrogen storage

Post, Wilfred M.; Pastor, John; Zinke, Paul J.; Stangenberger, A.G.

doi:10.1038/317613a0

Cited by 422 publications

(298 citation statements)

References 15 publications

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“…38 Mg C ha À 1 in the top 30 cm, which is consistent with peak SOC stocks in the region 13,20,28 . C stocks as high as 51 Mg C ha À 1 (top 20 cm) have been measured in a bottomland Piedmont forest soil (ref.…”

Section: Resultssupporting

confidence: 77%

Emerging land use practices rapidly increase soil organic matter

et al. 2015

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Section: Resultssupporting

confidence: 77%

Emerging land use practices rapidly increase soil organic matter

et al. 2015

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“…Although levels of total soil N and C were generally within the range reported for Arctic ecosystems (Cheng et al, 1998;Lipson and Nasholm, 2001;Post and Pastor, 1985), N availability, microbialbiomass N, and N gross mineralization rates were clearly not homogeneously distributed between the different microrelief forms of hummock tundra (Figs. 2-4) and across the studied sites (southern vs. typical tundra).…”

Section: Discussionmentioning

confidence: 99%

Microtopography and Plant-Cover Controls on Nitrogen Dynamics in Hummock Tundra Ecosystems in Siberia

Biasi

Wanek

Rusalimova

et al. 2005

Arctic, Antarctic, and Alpine Research

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“…Estimates based on field data reconstructions range from about 3.5 PgN (Schlesinger, 1997) to 10 PgN (Davidson, 1994), which places the ACCESS-ESM1 results right in the middle of that range. Soil organic nitrogen pools are simulated to be about 85 PgN for both ACCESS-ESM1 scenarios, which is slightly low if compared with estimates based on field data (95 PgC Post et al, 1985to 140 PgC Batjes, 1996.…”

Section: Cnp Pool Sizesmentioning

confidence: 99%

The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 2: Historical simulations

et al. 2017

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Abstract. Over the last decade many climate models have evolved into Earth system models (ESMs), which are able to simulate both physical and biogeochemical processes through the inclusion of additional components such as the carbon cycle. The Australian Community Climate and Earth System Simulator (ACCESS) has been recently extended to include land and ocean carbon cycle components in its ACCESS-ESM1 version. A detailed description of ACCESS-ESM1 components including results from pre-industrial simulations is provided in Part 1. Here, we focus on the evaluation of ACCESS-ESM1 over the historical period in terms of its capability to reproduce climate and carbon-related variables. Comparisons are performed with observations, if available, but also with other ESMs to highlight common weaknesses. We find that climate variables controlling the exchange of carbon are well reproduced. However, the aerosol forcing in ACCESS-ESM1 is somewhat larger than in other models, which leads to an overly strong cooling response in the land from about 1960 onwards. The land carbon cycle is evaluated for two scenarios: running with a prescribed leaf area index (LAI) and running with a prognostic LAI. We overestimate the seasonal mean (1.7 vs. 1.4) and peak amplitude (2.0 vs. 1.8) of the prognostic LAI at the global scale, which is common amongst CMIP5 ESMs. However, the prognostic LAI is our preferred choice, because it allows for the vegetation feedback through the coupling between LAI and the leaf carbon pool. Our globally integrated land-atmosphere flux over the historical period is 98 PgC for prescribed LAI and 137 PgC for prognostic LAI, which is in line with estimates of land use emissions (ACCESS-ESM1 does not include land use change).The integrated ocean-atmosphere flux is 83 PgC, which is in agreement with a recent estimate of 82 PgC from the Global Carbon Project for the period 1959-2005. The seasonal cycle of simulated atmospheric CO 2 is close to the observed seasonal cycle (up to 1 ppm difference for the station at Mace Head and up to 2 ppm for the station at Mauna Loa), but shows a larger amplitude (up to 6 ppm) in the high northern latitudes. Overall, ACCESS-ESM1 performs well over the historical period, making it a useful tool to explore the change in land and oceanic carbon uptake in the future.

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Global patterns of soil nitrogen storage

Cited by 422 publications

References 15 publications

Emerging land use practices rapidly increase soil organic matter

Emerging land use practices rapidly increase soil organic matter

Microtopography and Plant-Cover Controls on Nitrogen Dynamics in Hummock Tundra Ecosystems in Siberia

The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 2: Historical simulations

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