A Continuous Root Water Uptake Isotope Mixing Model

Water Resources Research, Год журнала: 2024, Номер 60(8)

Опубликована: Авг. 1, 2024

Abstract The depth‐wise distribution of root water uptake is typically inferred through linear mixing models that utilize knowledge stable isotopes in soil and plants. However, these existing often represent the profile discrete segments, potentially introducing significant uncertainty bias into results. In this study, we introduced a novel model combines Bayesian framework with continuous pattern, named CrisPy. To evaluate performance CrisPy, conducted virtual field‐based tests under several types prior information. CrisPy showed accurate robust reconstruction true various information settings test. By contrast, model, MixSIAR was greatly influenced by deviated from profile. mean squared error proportions ranged 3.6% to 7.4%, while exhibited values 6.3%–15.2%. Furthermore, posterior predictive checking indicated effectively reconstructed standard deviations plant isotopic compositions both tests. MixSIAR, however, underestimated overestimated deviation compositions. These findings collectively support enhanced accuracy, greater robustness, reduced comparison MixSIAR. Therefore, provides powerful tool for partitioning sources.

Язык: Английский

Cotton as a source of isotopic biases in extracted water via cryogenic vacuum extraction

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132837 - 132837

Опубликована: Фев. 1, 2025

Язык: Английский

Applying stable isotopes to illuminate the mechanism of water use in wheat fields under ridge-furrow planting with plastic film

Soil and Tillage Research, Год журнала: 2025, Номер 253, С. 106652 - 106652

Опубликована: Май 15, 2025

Язык: Английский