Incorporating uncertainty and prior information into stable isotope mixing models.

By J. Moore, B. Semmens. Ecology Letters, 2008

1,315 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/09b146cd996bbb7c1fe452261506889a12bebe19

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Ecology

In Global and Planetary Change

Citations in the corpus

From lavage to lipids: Estimating diets of seabirds (2012, methodology): “For example, stomach content data can be used to inform stable isotope and FA model estimates (Moore & Semmens 2008).”
Best practices for use of stable isotope mixing models in food-web studies (2014, methodology): “Recent examples of this a posteriori approach for combining sources in animal studies include Painter et al. (2009) and MacArthur et al. (2011) using IsoSource, Cherry et al. (2011) using MixSIR, and Vaslet et al. (2011) using SIAR.”
The problem of isotopic baseline: Reconstructing the diet and trophic position of fossil animals (2011, background): “…models are necessary to deal with concentration-dependentmixing of isotopic tracers (Phillips and Koch, 2002), uncertainty in source isotopic signature (Phillips and Gregg, 2001), and systems including more than n+1 sources (Phillips and Gregg, 2003; Moore and Semmens, 2008; Parnell et al., 2010).”
Stable Isotopes of Carbon and Nitrogen as Tracers for Paleo-Diet Reconstruction (2012, methodology): “Moore and Semmens (2008) have incorporated Bayesian analysis into the procedure to produce another software package, MixSIR 1.0 (Semmens and Moore 2008).”
Variation in δ13C and δ15N diet–vibrissae trophic discrimination factors in a wild population of California sea otters (2010, methodology): “The data from this bounded period defined a foraging ‘‘bout’’ (Estes et al. 2003, Tinker et al. 2008).”
Diversity in trophic interactions of green sea turtles Chelonia mydas on a relatively pristine coastal foraging ground (2011, positive): “We used MixSir, a Bayesian-mixing model that accounts for variation in isotopic discrimination and source values (Moore & Semmens 2008), to estimate the relative contributions of algae, seagrasses, and gelatinous macroplankton to the diets of green turtles in Shark Bay.”
Dietary Niche Overlap in a Nearshore Elasmobranch Mesopredator Community (2011, neutral): “MixSIR is a Bayesian-mixing model that accounts for variation in isotopic fractionation and sources values (Moore & Semmens 2008).”
Present limitations and future prospects of stable isotope methods for nitrate source identification in surface- and groundwater. (2009, background): “However, Moore and Semmens (2008) mentioned that this mixing model does not take into account the incorporation of several substantial sources of uncertainty.”
Tools for quantifying isotopic niche space and dietary variation at the individual and population level (2012, positive): “Dietary contributions for SNI and MB populations were calculated by bootstrapping and pooling MixSIR results for individual sea otters in both populations; the densities are displayed in Fig.”
Diet-specific biomarkers show that high-quality phytoplankton fuels herbivorous zooplankton in large boreal lakes (2014, methodology): “We used a Bayesian mixing model, ‘FA Source Tracking Algorithm in R’ (FASTAR), which is adapted from the SI-based MixSIR model of Moore and Semmens (2008), to calculate the proportional use of possible food resources to consumers that best reflect the FA profiles found in the wild consumers.”