- Sponsor Seminars
These are scheduled events to help delegates test out the tools and platform we will be using for the Q&A and other events at the conference.
Our workshop program provides training and teaching in topics across geochemistry and related fields. We are currently liaising with the workshop organisers to ascertain if any workshops can become virtual. Any updates will be added to this page.
Social Event Locations
These are locations for the conference social events.
Refining the paleosol-CO2 Proxy and the Reconstruction of early-Pleistocene CO2 Levels
Da J, Ji J, Zhang Y, Li G & Meng X
Da J, Ji J, Zhang Y, Li G & Meng X (2020) Goldschmidt Abstracts, 2020 508
The author has not provided any additional details.
14j: Plenary Hall, View in program
Listed below are questions that have been submitted by the community that the author will try and cover in their presentation. To submit a question, ensure you are signed in to the website. Authors or session conveners approve questions before they are displayed here.
Jiawei, thanks for this wonderful presentation. Based on your experience, what is the highest time resolution of the paleosol-CO2 proxy dataset? And what is average growth time for one nodule? Thanks again! Mingsong Li (Penn State)
Good questions! The current time resolution is tectonic-scale. However, based on the solid chronology of the eolian depoits from the Loess Plateau, we try to make it to orbital-scale (i.e. G-IG variations). To do that, we have to deal with the widespread contamination of detrital carbonates within the glacial paleosols (i.e. the loess units), because of the weak monsoonal rainfall during the glacials. It usually takes decades for one nodule to grow (Zamanian et al., 2016). However, this is based on a few radiocarbon ages and indirect measures such as ages of the soil profiles, and more work needs to be done in the future.
MS was used as a proxy of MAP and then it was used to constrain S(z) and to calculate pCO2. Does that mean MS is a function of pCO2?
The answer is no. S(z) is controlled by three major factors: climatic conditions (e.g. MAP, MAT etc.), soil characteristics (e.g. porosity, tortuosity) and biomass (e.g. plant types, root density, etc.). In the case of the paleosol profiles from the Loess Plateau, the soil characteristics and biomass types remained stable throughout the studied time intervals, so the S(z) is predominantly controlled by climatic conditions, and the MS-S(z) correlation is not a surprise. However, we do not suggest a simple MS-S(z) model if the other two factors changed.
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