Skip to main content
Dryad logo

Data from: Modelling the consequence of glacier retreat on mixotrophic nanoflagellate bacterivory: a Bayesian approach

Citation

Schenone, Luca (2020), Data from: Modelling the consequence of glacier retreat on mixotrophic nanoflagellate bacterivory: a Bayesian approach, Dryad, Dataset, https://doi.org/10.5061/dryad.wpzgmsbj1

Abstract

This repository comprises data and statisticial analysis from the paper Schenone et al. 2020 entitled "Modelling the Consequence of Glacier Retreat on Mixotrophic Nanoflagellate Bacterivory: A Bayesian Approach" which was accepted for publication in Oikos. The main contribution of this paper is a model for mixotrophic nanoflagellate bacterivory as a function of light availability and the presence of non edible particles such as glacial clay. The dataset consists in results from eight bacterivory experiments carried out during November 2018 and January-February 2019 using natural mixotrophic nanoflagellate community of six moutain lakes from north Patagonia, Argentina. A Bayesian approach was adopted  to estimate relevant parameters from the model using our experimental data. The analysis was performed using JAGS interfaced through R Studio, the script is available in this repository.

Methods

We provide details of field experiments, laboratory determinations and modelling in the corresponding paper Schenone et al 2020.

Usage Notes

Final plots presented in the paper were made with the software SigmaPlot 12.5, however, the dataset and R script provided here outputs used for plotting.