scholarly journals CARBON OCCLUSION POTENTIAL OF RICE PHYTOLITHS: IMPLICATIONS FOR GLOBAL CARBON CYCLE AND CLIMATE CHANGE MITIGATION

2016 ◽  
Vol 14 (2) ◽  
pp. 265-281 ◽  
Author(s):  
K. PRAJAPATI
Keyword(s):  
Climate Change ◽  
Carbon Cycle ◽  
Climate Change Mitigation ◽  
Global Carbon Cycle ◽  
Global Carbon ◽  
Change Mitigation

Time-scale dependence of climate-carbon cycle feedbacks for weak perturbations in CMIP5 models

2021 ◽  
Author(s):  
Guilherme Torres Mendonça ◽  
Julia Pongratz ◽  
Christian Reick
Keyword(s):  
Climate Change ◽  
Carbon Cycle ◽  
Time Scales ◽  
Radiative Forcing ◽  
Global Carbon Cycle ◽  
Atmospheric Co2 ◽  
Ice Age ◽  
Cmip5 Models ◽  
Global Carbon ◽  
Different Time Scales

<p>The increase in atmospheric CO2 driven by anthropogenic emissions is the main radiative forcing causing climate change. But this increase is not only a result from emissions, but also from changes in the global carbon cycle. These changes arise from feedbacks between climate and the carbon cycle that drive CO2 into or out of the atmosphere in addition to the emissions, thereby either accelerating or buffering climate change. Therefore, understanding the contribution of these feedbacks to the global response of the carbon cycle is crucial in advancing climate research. Currently, this contribution is quantified by the α-β-γ framework (Friedlingstein et al., 2003). But this quantification is only valid for a particular perturbation scenario and time period. In contrast, a recently proposed generalization (Rubino et al., 2016) of this framework for weak perturbations quantifies this contribution for all scenarios and at different time scales. </p><p>Thereby, this generalization provides a systematic framework to investigate the response of the global carbon cycle in terms of the climate-carbon cycle feedbacks. In the present work we employ this framework to study these feedbacks and the airborne fraction in different CMIP5 models. We demonstrate (1) that this generalization of the α-β-γ framework consistently describes the linear dynamics of the carbon cycle in the MPI-ESM; and (2) how by this framework the climate-carbon cycle feedbacks and airborne fraction are quantified at different time scales in CMIP5 models. Our analysis shows that, independently of the perturbation scenario, (1) the net climate-carbon cycle feedback is negative at all time scales; (2) the airborne fraction generally decreases for increasing time scales; and (3) the land biogeochemical feedback dominates the model spread in the airborne fraction at all time scales. This last result therefore emphasizes the need to improve our understanding of this particular feedback.</p><p><strong>References:</strong></p><p>P. Friedlingstein, J.-L. Dufresne, P. Cox, and P. Rayner. How positive is the feedback between climate change and the carbon cycle? Tellus B, 55(2):692–700, 2003.</p><p>M. Rubino, D. Etheridge, C. Trudinger, C. Allison, P. Rayner, I. Enting, R. Mulvaney, L. Steele, R. Langenfelds, W. Sturges, et al. Low atmospheric CO2 levels during the Little Ice Age due to cooling-induced terrestrial uptake. Nature Geoscience, 9(9):691–694, 2016.</p>

scholarly journals Closing the carbon cycle to maximise climate change mitigation: power-to-methanolvs.power-to-direct air capture

2018 ◽  
Vol 2 (6) ◽  
pp. 1153-1169 ◽  
Author(s):  
H. A. Daggash ◽  
C. F. Patzschke ◽  
C. F. Heuberger ◽  
L. Zhu ◽  
K. Hellgardt ◽  
...  
Keyword(s):  
Climate Change ◽  
Carbon Cycle ◽  
Climate Change Mitigation ◽  
Direct Air Capture ◽  
Air Capture ◽  
Change Mitigation

In order to meet the 1.5−2C target, with CCU, it is necessary to close the carbon cycle, and avoid partial decarbonisation scenarios. In this context, direct air capture appears more effective than CCU.

scholarly journals The benefits of climate change mitigation in integrated assessment models: the role of the carbon cycle and climate component

2011 ◽  
Vol 113 (3-4) ◽  
pp. 897-917 ◽  
Author(s):  
Andries F. Hof ◽  
Chris W. Hope ◽  
Jason Lowe ◽  
Michael D. Mastrandrea ◽  
Malte Meinshausen ◽  
...  
Keyword(s):  
Climate Change ◽  
Carbon Cycle ◽  
Integrated Assessment ◽  
Climate Change Mitigation ◽  
Integrated Assessment Models ◽  
Change Mitigation

scholarly journals Vulnerability of Permafrost Carbon to Climate Change: Implications for the Global Carbon Cycle

BioScience ◽  
2008 ◽  
Vol 58 (8) ◽  
pp. 701-714 ◽  
Author(s):  
Edward A. G. Schuur ◽  
James Bockheim ◽  
Josep G. Canadell ◽  
Eugenie Euskirchen ◽  
Christopher B. Field ◽  
...  
Keyword(s):  
Climate Change ◽  
Carbon Cycle ◽  
Global Carbon Cycle ◽  
Global Carbon

scholarly journals First pan-Arctic assessment of dissolved organic carbon in lakes of the permafrost region

2021 ◽  
Vol 18 (12) ◽  
pp. 3917-3936
Author(s):  
Lydia Stolpmann ◽  
Caroline Coch ◽  
Anne Morgenstern ◽  
Julia Boike ◽  
Michael Fritz ◽  
...  
Keyword(s):  
Climate Change ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Cycle ◽  
Dissolved Organic Carbon ◽  
Significant Relationship ◽  
Global Carbon Cycle ◽  
Doc Concentration ◽  
Global Carbon ◽  
Permafrost Regions

Abstract. Lakes in permafrost regions are dynamic landscape components and play an important role for climate change feedbacks. Lake processes such as mineralization and flocculation of dissolved organic carbon (DOC), one of the main carbon fractions in lakes, contribute to the greenhouse effect and are part of the global carbon cycle. These processes are in the focus of climate research, but studies so far are limited to specific study regions. In our synthesis, we analyzed 2167 water samples from 1833 lakes across the Arctic in permafrost regions of Alaska, Canada, Greenland, and Siberia to provide first pan-Arctic insights for linkages between DOC concentrations and the environment. Using published data and unpublished datasets from the author team, we report regional DOC differences linked to latitude, permafrost zones, ecoregions, geology, near-surface soil organic carbon contents, and ground ice classification of each lake region. The lake DOC concentrations in our dataset range from 0 to 1130 mg L−1 (10.8 mg L−1 median DOC concentration). Regarding the permafrost regions of our synthesis, we found median lake DOC concentrations of 12.4 mg L−1 (Siberia), 12.3 mg L−1 (Alaska), 10.3 mg L−1 (Greenland), and 4.5 mg L−1 (Canada). Our synthesis shows a significant relationship between lake DOC concentration and lake ecoregion. We found higher lake DOC concentrations at boreal permafrost sites compared to tundra sites. We found significantly higher DOC concentrations in lakes in regions with ice-rich syngenetic permafrost deposits (yedoma) compared to non-yedoma lakes and a weak but significant relationship between soil organic carbon content and lake DOC concentration as well as between ground ice content and lake DOC. Our pan-Arctic dataset shows that the DOC concentration of a lake depends on its environmental properties, especially on permafrost extent and ecoregion, as well as vegetation, which is the most important driver of lake DOC in this study. This new dataset will be fundamental to quantify a pan-Arctic lake DOC pool for estimations of the impact of lake DOC on the global carbon cycle and climate change.

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