השוואת שיטות

	מודל הערבוב SIAR	מודל הצטברות ביולוגית
תחום	אקולוגיה	אקולוגיה
משפחה	Process / pipeline	Process / pipeline
שנת המקור	2010	2006
הוגה השיטה	Andrew Parnell	Frank Gobas
סוג	diet and source apportionment analysis	pollutant accumulation dynamics
מקור מכונן	Parnell, A. C., Inger, R., Bearhop, S., & Jackson, A. L. (2010). Source partitioning using stable isotopes: coping with too much variation. PLoS ONE, 5(3), e9672.	Arnot, J. A., & Gobas, F. A. (2006). A review of bioaccumulation factor (BAF) and bioconcentration factor (BCF) assessments for organic chemicals in aquatic organisms. Environmental Reviews, 14(4), 257-297.
כינויים	isotope mixing model, Bayesian mixing model, source apportionment, diet analysis	accumulation model, toxicokinetics, persistent organic pollutants, POPs
קשורות	4	4
תקציר	The Stable Isotope Analysis in R (SIAR) mixing model is a Bayesian framework for estimating the proportional contributions of dietary sources to a consumer, using stable isotope ratios. Developed by Parnell and colleagues (2010) and implemented in the R package siar (and its successor MixSIAR), this method integrates isotopic data from potential food sources and consumers to infer diets. It accounts for uncertainty in isotope fractionation (the shift in isotope ratios between diet and tissue) and natural variation among source populations, producing probability distributions rather than point estimates of diet composition.	Bioaccumulation models predict how chemical contaminants accumulate in organisms from environmental exposure (water, food, sediment). Developed by Gobas and colleagues (2006), these models quantify the kinetics of chemical uptake, metabolism, and clearance. Bioaccumulation factors (BAF) and bioconcentration factors (BCF) measure the ratio of chemical concentration in organisms to concentration in the environment. Understanding bioaccumulation is critical for assessing ecological risk from persistent organic pollutants (POPs), heavy metals, and other contaminants.