Simulation summary data (simulation conditions 5 of 11).

Mays, Chris; Amores, Marcos; Mays, Anthony

doi:10.1371/journal.pone.0320887.s009

Simulation summary data (simulation conditions 5 of 11).

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posted on 2025-05-06, 17:31 authored by Chris Mays, Marcos Amores, Anthony Mays

Comparison table of terrestrial organic microfossil concentration estimates () from Eqn 1 (when ) or Eqn 4 (when ), and their associated errors and sampling efforts from a simulated data set of randomly distributed target and exotic specimens. Parameters: total targets in study area ; total markers in study area ; target-to-marker ratio = 3:1 (i.e., ); count (linear method) ; simulated iterations ; ; ; ; ; . Since , the FOVS method is more efficient for this assemblage.

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without sacrificing accuracy two case studies novel &# 8216 monte carlo simulations low specimen densities friendly digital interface extremely time consuming demonstrable increased speed although originally developed low additional effort traditional approach —three output parameters spatial data collection large sample sizes terrestrial organic microfossils simulation codes aimed g ., productivity div >< p data collection effort traditional linear method absolute abundance estimates new method requires estimate population sizes fovs method ).g .,absolute abundance reduced effort population sizes sample heterogeneity key parameters biomass —fovs method new variant new standard absolute values absolute abundances linear methods view subsampling standard inputs southeastern australia routine use representative samples microfossil populations marker ratios lycopodium known quantity idealised datasets equivalent target best expressed assist readers

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Simulation summary data (simulation conditions 5 of 11).

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