Dataset Information

Using sulfur stable isotope ratios (δ³⁴ S) for animal geolocation: Estimating the delay mechanisms between diet ingestion and isotope incorporation in tail hair.

ABSTRACT:

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 δ³⁴ S data from GPS-collared blue wildebeest from the Serengeti ecosystem in combination with δ³⁴ 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 δ³⁴

SUBMITTER: Kabalika Z

PROVIDER: S-EPMC10909487 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Dataset Information

Using sulfur stable isotope ratios (δ³⁴ S) for animal geolocation: Estimating the delay mechanisms between diet ingestion and isotope incorporation in tail hair.

Rationale

Methods

Results

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Using sulfur stable isotope ratios (δ34 S) for animal geolocation: Estimating the delay mechanisms between diet ingestion and isotope incorporation in tail hair.

Rationale

Methods

Results

OmicsDI is part of the ELIXIR infrastructure

Tweets

Using sulfur stable isotope ratios (δ³⁴ S) for animal geolocation: Estimating the delay mechanisms between diet ingestion and isotope incorporation in tail hair.