A Bayesian mixing model framework for quantifying temporal variation in source of sediment to lakes across broad hydrological gradients of floodplains
Sign Up to like & getrecommendations! Published in 2021 at "Limnology and Oceanography: Methods"
DOI: 10.1002/lom3.10443
Abstract: Paleolimnological reconstructions provide insights into hydrological variability of dynamic floodplain lakes. However, spatial and temporal integration of multiple reconstructions often remains underdeveloped because the efficacy of different paleolimnological measurements varies among lakes due to gradients… read more here.
Keywords: river; bayesian mixing; sediment; source ... See more keywords
Evaluating the performance of the Bayesian mixing tool MixSIAR with fatty acid data for quantitative estimation of diet
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-77396-1
Abstract: We test the performance of the Bayesian mixing model, MixSIAR, to quantitatively predict diets of consumers based on their fatty acids (FAs). The known diets of six species, undergoing controlled-feeding experiments, were compared with dietary… read more here.
Keywords: evaluating performance; bayesian mixing; mixing tool; performance bayesian ... See more keywords