Using sulfur stable isotope ratios (δ 34 S) for animal geolocation: Estimating the delay mechanisms between diet ingestion and isotope incorporation in tail hair

作者：Zabibu Kabalika, Daniel T. Haydon, Rona A. R. McGill, Juan M. Morales, Thomas A. Morrison, Jason Newton, J. Grant C. Hopcraft · 发表于：Rapid Communications in Mass Spectrometry · 年份：2023 · DOI：10.1002/rcm.9674 · 被引用次数：7 · 研究领域：Isotope Analysis in Ecology、Marine animal studies overview、Fish Ecology and Management Studies

Rationale Metabolism and diet quality play an important role in determining delay mechanisms between an animal ingesting an element and depositing the associated isotope signal in tissue. While many isotope mixing models assume instantaneous reflection of diet in an animal– tissue, this is rarely the case. Here we use data from wildebeest to measure the lag time between ingestion of 34 S and its detection in tail hair. Methods We use time‐lagged regression analysis of δ 34 S data from GPS‐collared blue wildebeest from the Serengeti ecosystem in combination with δ 34 S isoscape data to estimate the lag time between an animal ingesting and depositing 34 S in tail hair. Results The best fitting regression model of δ 34 S in tail hair and an individual– position on the δ 34 S isoscape is generated assuming an average time delay of 78 days between ingestion and detection in tail hair. This suggests that sulfur may undergo multiple metabolic transitions before being deposited in tissue. Conclusion Our findings help to unravel the underlying complexities associated with sulfur metabolism and are broadly consistent with results from other species. These findings will help to inform research aiming to apply the variation of δ 34 S in inert biological material for geolocation or understanding dietary changes, especially for fast moving migratory ungulates such as wildebeest.