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FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation
Bayesian stable isotope mixing models are widely used in geochemical and ecological studies for partitioning sources that contribute to various mixtures. However, none of the existing tools allows accounting for the influence of processes other than mixing, especially stable isotope fractionation. B...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704640/ https://www.ncbi.nlm.nih.gov/pubmed/36441721 http://dx.doi.org/10.1371/journal.pone.0277204 |
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author | Lewicki, Maciej P. Lewicka-Szczebak, Dominika Skrzypek, Grzegorz |
author_facet | Lewicki, Maciej P. Lewicka-Szczebak, Dominika Skrzypek, Grzegorz |
author_sort | Lewicki, Maciej P. |
collection | PubMed |
description | Bayesian stable isotope mixing models are widely used in geochemical and ecological studies for partitioning sources that contribute to various mixtures. However, none of the existing tools allows accounting for the influence of processes other than mixing, especially stable isotope fractionation. Bridging this gap, new software for the stable isotope Fractionation And Mixing Evaluation (FRAME) has been developed with a user-friendly graphical interface (malewick.github.io/frame). This calculation tool allows simultaneous sources partitioning and fractionation progress determination based on the stable isotope composition of sources/substrates and mixture/products. The mathematical algorithm applies the Markov-Chain Monte Carlo model to estimate the contribution of individual sources and processes, as well as the probability distributions of the calculated results. The performance of FRAME was comprehensively tested and practical applications of this modelling tool are presented with simple theoretical examples and stable isotope case studies for nitrates, nitrites, water and nitrous oxide. The open mathematical design, featuring custom distributions of source isotope signatures, allows for the implementation of additional processes that alternate the characteristics of the final mixture and its application for various range of studies. |
format | Online Article Text |
id | pubmed-9704640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97046402022-11-29 FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation Lewicki, Maciej P. Lewicka-Szczebak, Dominika Skrzypek, Grzegorz PLoS One Research Article Bayesian stable isotope mixing models are widely used in geochemical and ecological studies for partitioning sources that contribute to various mixtures. However, none of the existing tools allows accounting for the influence of processes other than mixing, especially stable isotope fractionation. Bridging this gap, new software for the stable isotope Fractionation And Mixing Evaluation (FRAME) has been developed with a user-friendly graphical interface (malewick.github.io/frame). This calculation tool allows simultaneous sources partitioning and fractionation progress determination based on the stable isotope composition of sources/substrates and mixture/products. The mathematical algorithm applies the Markov-Chain Monte Carlo model to estimate the contribution of individual sources and processes, as well as the probability distributions of the calculated results. The performance of FRAME was comprehensively tested and practical applications of this modelling tool are presented with simple theoretical examples and stable isotope case studies for nitrates, nitrites, water and nitrous oxide. The open mathematical design, featuring custom distributions of source isotope signatures, allows for the implementation of additional processes that alternate the characteristics of the final mixture and its application for various range of studies. Public Library of Science 2022-11-28 /pmc/articles/PMC9704640/ /pubmed/36441721 http://dx.doi.org/10.1371/journal.pone.0277204 Text en © 2022 Lewicki et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lewicki, Maciej P. Lewicka-Szczebak, Dominika Skrzypek, Grzegorz FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation |
title | FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation |
title_full | FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation |
title_fullStr | FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation |
title_full_unstemmed | FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation |
title_short | FRAME—Monte Carlo model for evaluation of the stable isotope mixing and fractionation |
title_sort | frame—monte carlo model for evaluation of the stable isotope mixing and fractionation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704640/ https://www.ncbi.nlm.nih.gov/pubmed/36441721 http://dx.doi.org/10.1371/journal.pone.0277204 |
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