scholarly journals Do mixing models with different input requirement yield similar streamflow source contributions? Case study: a tropical montane catchment

2021 ◽  
Author(s):  
Jorge Ramón ◽  
Alicia Correa ◽  
Edison Timbe ◽  
Giovanny M. Mosquera ◽  
Enma Mora ◽  
...  
Keyword(s):  
Mixing Models ◽  
Source Contributions

Isotope mixing models require individual isotopic tracer content for correct quantification of sediment source contributions

2018 ◽  
Vol 32 (7) ◽  
pp. 981-989 ◽  
Author(s):  
Hari Ram Upadhayay ◽  
Samuel Bodé ◽  
Marco Griepentrog ◽  
Roshan Man Bajracharya ◽  
William Blake ◽  
...  
Keyword(s):  
Mixing Models ◽  
Sediment Source ◽  
Isotopic Tracer ◽  
Source Contributions ◽  
Isotope Mixing Models

Using the chemical mass balance model to estimate VOC source contributions in newly built timber frame houses: a case study

2017 ◽  
Vol 24 (31) ◽  
pp. 24156-24166 ◽  
Author(s):  
Herve Plaisance ◽  
Pierre Mocho ◽  
Nicolas Sauvat ◽  
Jane Vignau-Laulhere ◽  
Katarzyna Raulin ◽  
...  
Keyword(s):  
Mass Balance ◽  
Balance Model ◽  
Chemical Mass Balance ◽  
Mass Balance Model ◽  
Timber Frame ◽  
Source Contributions ◽  
Chemical Mass Balance Model

scholarly journals Best practices for use of stable isotope mixing models in food-web studies

2014 ◽  
Vol 92 (10) ◽  
pp. 823-835 ◽  
Author(s):  
Donald L. Phillips ◽  
Richard Inger ◽  
Stuart Bearhop ◽  
Andrew L. Jackson ◽  
Jonathan W. Moore ◽  
...  
Keyword(s):  
Stable Isotope ◽  
Concentration Dependence ◽  
Probability Distributions ◽  
Mixing Models ◽  
Web Studies ◽  
Source Contributions ◽  
Spatio Temporal ◽  
Discrimination Factors ◽  
Isotope Mixing Models ◽  
User Friendly

Stable isotope mixing models are increasingly used to quantify consumer diets, but may be misused and misinterpreted. We address major challenges to their effective application. Mixing models have increased rapidly in sophistication. Current models estimate probability distributions of source contributions, have user-friendly interfaces, and incorporate complexities such as variability in isotope signatures, discrimination factors, hierarchical variance structure, covariates, and concentration dependence. For proper implementation of mixing models, we offer the following suggestions. First, mixing models can only be as good as the study and data. Studies should have clear questions, be informed by knowledge of the system, and have strong sampling designs to effectively characterize isotope variability of consumers and resources on proper spatio-temporal scales. Second, studies should use models appropriate for the question and recognize their assumptions and limitations. Decisions about source grouping or incorporation of concentration dependence can influence results. Third, studies should be careful about interpretation of model outputs. Mixing models generally estimate proportions of assimilated resources with substantial uncertainty distributions. Last, common sense, such as graphing data before analyzing, is essential to maximize usefulness of these tools. We hope these suggestions for effective implementation of stable isotope mixing models will aid continued development and application of this field.

scholarly journals Incorporation of diet information derived from Bayesian stable isotope mixing models into mass-balanced marine ecosystem models: A case study from the Marennes-Oléron Estuary, France

2013 ◽  
Vol 267 ◽  
pp. 127-137 ◽  
Author(s):  
Stephen R. Pacella ◽  
Benoit Lebreton ◽  
Pierre Richard ◽  
Donald Phillips ◽  
Theodore H. DeWitt ◽  
...  
Keyword(s):  
Stable Isotope ◽  
Marine Ecosystem ◽  
Mixing Models ◽  
Ecosystem Models ◽  
Marine Ecosystem Models ◽  
Isotope Mixing Models
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