Growth rate and pCO2 reconstructions for the late Miocene Cooling

This table T6 contains pCO2 and algal growth rate simulations from Tanner et al. 2020 with their reported 1 simga confidence interval based on a full Monte Carlo Simulation (n=10'000). The calculations of simulation 1-7 are based on a multilinear regression model (Stoll et al. 2019) that used t...

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Bibliographic Details
Main Authors: Tanner, Thomas, Hernández-Almeida, Iván, Drury, Anna Joy, Guitián, José, Stoll, Heather M
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
177-1088B
AGE
Atmospheric CO2
b
b-term
Carbon dioxide
DRILL
Drilling/drill rig
Estimated
Growth rate
cell divison per day
growth rates
Joides Resolution
Leg177
Ocean Drilling Program
ODP
paleoreconstruction
pCO2
South Atlantic Ocean
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.924537
https://doi.org/10.1594/PANGAEA.924537
Description
Summary:This table T6 contains pCO2 and algal growth rate simulations from Tanner et al. 2020 with their reported 1 simga confidence interval based on a full Monte Carlo Simulation (n=10'000). The calculations of simulation 1-7 are based on a multilinear regression model (Stoll et al. 2019) that used the isotopic fractionation (εp) during photosynthetic fixation of carbon, algal growth rate (μ), algal cell radius and the photosynthetic available radiation (PAR) to estimate past CO2. Proxy data are from the Ocean Drilling Program (ODP) core 1088, spanning the time interval of the late Miocene. Simulation 8 follows the pCO2 calculations based on alkenones using the traditional, diffusive “b”-term approach (e.g. Zhang et al. 2013). Simulation 9 is a slight variation of this diffusive approach with coccolith size as a proxy for growth rate, according to Zhang et al. 2020. The dataset provides a high-resolution trend over the late Miocene Cooling ranging from ~8 to 4.3 Ma. The different CO2-trends in this dataset are the main takeaway from the publication (Tanner et al. 2020) and help the reader understand the different thoughts and approaches that were taken in computing the published trend (based on simulation 1 and 6).

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