Document Type

Article

Publication Date

2025

DOI

10.1098/rsos.241942

Publication Title

Royal Society Open Science

Volume

12

Issue

5

Pages

241942 (1-21)

Abstract

Understanding variations in the routes by which wild animals gain and lose water is challenging, and common methods require longitudinal sampling, which can be prohibitive. However, a new approach uses Δ′¹⁷OBW (Δ′¹⁷O of animal body water), calculated from measurements of δ′¹⁷O and δ′¹⁸O in a single sample, as a natural tracer of water flux. Δ′¹⁷OBW is promising, but its relationship to organismal variables such as metabolic rate and water intake have not been validated. Here, we continuously measured oxygen influxes and effluxes of captive deer mice (Peromyscus maniculatus), and manipulated their water intake and metabolic rate. We used these oxygen flux data to predict Δ′¹⁷OBW for the mice and compared these model predictions with Δ′¹⁷OBW measured in blood plasma samples. As expected, Δ′¹⁷OBW positively correlated with drinking water intake and negatively correlated with metabolic rate. All predicted Δ′¹⁷OBW (based on measured oxygen fluxes) values differed from measured Δ′¹⁷OBW values by < 30 per meg (mean absolute difference: 11 ± 9 per meg), suggesting high accuracy for this modelling approach because studies currently report a range of 300 per meg for Δ′¹⁷OBW among mammals, birds and fish.

Rights

© 2025 The Authors.

Published under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Data Availability

Article states: "Data and relevant code for this research work are included in the electronic supplementary material and stored in GitHub [90], and have been archived within the Zenodo repository [91]."

Original Publication Citation

Steele, Z. T., Caceres, K., David, Z. A., Shollenberger, L. M., Gerson, A. R., Newsome, S. D., & Whiteman, J. P. (2025). Validating a novel capability of assessing pathways of animal water gain and loss. Royal Society Open Science, 12(5), 1-21, Article 241942. https://doi.org/10.1098/rsos.241942

ORCID

0000-0003-3448-8377 (Steele), 0000-0002-0943-0838 (Shollenberger), 0000-0002-3348-9274 (Whiteman)

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