Confidence intervals for age estimates and deposition times in late-Quaternary sediment sequences

By Keith D. Bennett. 1994

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Trend analysis of climate time series: A review of methods (2019, background): “A certainly not exhaustive list of early works on timescale construction is the following: Bennett (1994); Agrinier et al. (1999); Bennett and Fuller (2002); Buck and Millard (2004); Drysdale et al. (2004); Blaauw and Christen (2005); Heegaard et al. (2005); Spötl et al. (2006); Haslett and Parnell…”
All age–depth models are wrong, but are getting better (2015, methodology): “, 2004b) is now scarcely used; Monte Carlo–based uncertainty estimates for age–depth models (Bennett, 1994) are more widely used due to the availability of convenient code (Blaauw, 2010); and Bayesian age–depth modelling techniques (Blaauw and Christen, 2011; Bronk Ramsey, 2008; Haslett and”
StalAge – An algorithm designed for construction of speleothem age models (2011, methodology): “(iii) Although statistical methods to calculate the uncertainty of linear interpolation age models are available (Bennett, 1994; Blaauw, 2010), most speleothem age models based on linear interpolation are quoted without an estimate of the uncertainty.”
Methods and code for 'classical' age-modelling of radiocarbon sequences. (2010, methodology): “Bennett (1994) and Bennett and Fuller (2002) discussed basic ageedepth models based on linear interpolation, polynomial and spline regression, but based onuncalibrated radiocarbon dates.”
Quantification of population sizes of large herbivores and their long‐term functional role in ecosystems using dung fungal spores (2016, methodology): “The abundance of spores in sediments was calculated as accumulation rates (spore cm 2 year 1) using the spore concentration (spore cm 3) and the sedimentation rate (cm year 1) (Maher 1981; Bennett 1994; Willis & Bennett 2001).”
Radiocarbon peat chronologies and environmental change (2005, background): “…on budget, time and availability of suitable material for dating), necessitating some kind of interpolation or regression between dated levels (e.g. Bennett (1994), Christen et al. (1995) and Blaauw et al. (2003)) and (d) they need to be calibrated to calendar ages (as the atmospheric 14C/C…”
Double the dates and go for Bayes — Impacts of model choice, dating density and quality on chronologies (2018, methodology): “However, simulations such as ours do help to360 quantify such uncertainties, and as a community we should ask ourselves361 whether classical age-depth models remain suited to their task (Bennett, 1994;362 Telford et al., 2004; Trachsel and Telford, 2017).”