Terrestrial Carbon Isotope Chemostratigraphy in the Yellow Cat Member of the Cedar Mountain Formation

Author(s):  
M.B. Suarez ◽  
C.A. Suarez ◽  
A.H. Al-Suwaidi ◽  
G. Hatzell ◽  
J.I. Kirkland ◽  
...  
2019 ◽  
Vol 15 (3) ◽  
pp. 1039-1062
Author(s):  
Krista M. S. Kemppinen ◽  
Philip B. Holden ◽  
Neil R. Edwards ◽  
Andy Ridgwell ◽  
Andrew D. Friend

Abstract. During the Last Glacial Maximum (LGM), atmospheric CO2 was around 90 ppmv lower than during the pre-industrial period. The reasons for this decrease are most often elucidated through factorial experiments testing the impact of individual mechanisms. Due to uncertainty in our understanding of the real system, however, the different models used to conduct the experiments inevitably take on different parameter values and different structures. In this paper, the objective is therefore to take an uncertainty-based approach to investigating the LGM CO2 drop by simulating it with a large ensemble of parameter sets, designed to allow for a wide range of large-scale feedback response strengths. Our aim is not to definitely explain the causes of the CO2 drop but rather explore the range of possible responses. We find that the LGM CO2 decrease tends to predominantly be associated with decreasing sea surface temperatures (SSTs), increasing sea ice area, a weakening of the Atlantic Meridional Overturning Circulation (AMOC), a strengthening of the Antarctic Bottom Water (AABW) cell in the Atlantic Ocean, a decreasing ocean biological productivity, an increasing CaCO3 weathering flux and an increasing deep-sea CaCO3 burial flux. The majority of our simulations also predict an increase in terrestrial carbon, coupled with a decrease in ocean and increase in lithospheric carbon. We attribute the increase in terrestrial carbon to a slower soil respiration rate, as well as the preservation rather than destruction of carbon by the LGM ice sheets. An initial comparison of these dominant changes with observations and paleoproxies other than carbon isotope and oxygen data (not evaluated directly in this study) suggests broad agreement. However, we advise more detailed comparisons in the future, and also note that, conceptually at least, our results can only be reconciled with carbon isotope and oxygen data if additional processes not included in our model are brought into play.


2015 ◽  
Vol 11 (2) ◽  
pp. 1031-1091
Author(s):  
B. A. A. Hoogakker ◽  
R. S. Smith ◽  
J. S. Singarayer ◽  
R. Marchant ◽  
I. C. Prentice ◽  
...  

Abstract. A new global synthesis and biomization of long (>40 kyr) pollen-data records is presented, and used with simulations from the HadCM3 and FAMOUS climate models to analyse the dynamics of the global terrestrial biosphere and carbon storage over the last glacial–interglacial cycle. Global modelled (BIOME4) biome distributions over time generally agree well with those inferred from pollen data. The two climate models show good agreement in global net primary productivity (NPP). NPP is strongly influenced by atmospheric carbon dioxide (CO2) concentrations through CO2 fertilization. The combined effects of modelled changes in vegetation and (via a simple model) soil carbon result in a global terrestrial carbon storage at the Last Glacial Maximum that is 210–470 Pg C less than in pre-industrial time. Without the contribution from exposed glacial continental shelves the reduction would be larger, 330–960 Pg C. Other intervals of low terrestrial carbon storage include stadial intervals at 108 and 85 ka BP, and between 60 and 65 ka BP during Marine Isotope Stage 4. Terrestrial carbon storage, determined by the balance of global NPP and decomposition, influences the stable carbon isotope composition (δ13C) of seawater because terrestrial organic carbon is depleted in 13C. Using a simple carbon-isotope mass balance equation we find agreement in trends between modelled ocean δ13C based on modelled land carbon storage, and palaeo-archives of ocean δ13C, confirming that terrestrial carbon storage variations may be important drivers of ocean δ13C changes.


Terra Nova ◽  
2003 ◽  
Vol 15 (1) ◽  
pp. 8-13 ◽  
Author(s):  
Ulrich Heimhofer ◽  
Peter A. Hochuli ◽  
Stefan Burla ◽  
Nils Andersen ◽  
Helmut Weissert

2010 ◽  
Vol 289 (3-4) ◽  
pp. 570-582 ◽  
Author(s):  
Reishi Takashima ◽  
Hiroshi Nishi ◽  
Toshiro Yamanaka ◽  
Keiichi Hayashi ◽  
Amane Waseda ◽  
...  

2012 ◽  
Vol 5 (5) ◽  
pp. 326-329 ◽  
Author(s):  
Hemmo A. Abels ◽  
William C. Clyde ◽  
Philip D. Gingerich ◽  
Frederik J. Hilgen ◽  
Henry C. Fricke ◽  
...  

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