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Combining models of environment, behavior, and physiology to predict tissue hydrogen and oxygen isotope variance among individual terrestrial animals

Combining models of environment, behavior, and physiology to predict tissue hydrogen and oxygen isotope variance among individual terrestrial animals
Combining models of environment, behavior, and physiology to predict tissue hydrogen and oxygen isotope variance among individual terrestrial animals
Variations in stable hydrogen and oxygen isotope ratios in terrestrial animal tissues are used to reconstruct origin and movement. An underlying assumption of these applications is that tissues grown at the same site share a similar isotopic signal, representative of the location of their origin. However, large variations in tissue isotopic compositions often exist even among conspecific individuals within local populations, which complicates origin and migration inferences. Field-data and correlation analyses have provided hints about the underlying mechanisms of within-site among-individual isotopic variance, but a theory explaining the causes and magnitude of such variance has not been established. Here we develop a mechanistic modeling framework that provides explicit predictions of the magnitude, patterns, and drivers of isotopic variation among individuals living in a common but environmentally heterogeneous habitat. The model toolbox includes isoscape models of environmental isotopic variability, an agent-based model of behavior and movement, and a physiology-biochemistry model of isotopic incorporation into tissues. We compare model predictions against observed variation in hatch-year individuals of the songbird Spotted Towhee (Pipilo maculatus) in Red Butte Canyon, Utah, and evaluate the ability of the model to reproduce this variation under different sets of assumptions. Only models that account for environmental isotopic variability predict a similar magnitude of isotopic variation as observed. Within the modeling framework, behavioral rules and properties govern how animals nesting in different locations acquire resources from different habitats, and birds nesting in or near riparian habitat preferentially access isotopically lighter resources than those associated with the meadow and slope habitats, which results in more negative body water and tissue isotope values. Riparian nesters also have faster body water turnover and acquire more water from drinking (vs. from food), which exerts a secondary influence on their isotope ratios. Thus, the model predicts that local among-individual isotopic variance is linked first to isotopic heterogeneity in the local habitat, and second to how animals sample this habitat during foraging. Model predictions provide insight into the fundamental mechanisms of small-scale isotopic variance and can be used to predict the utility of isotope-based methods for specific groups or environments in ecological and forensic research.
Magozzi, Sarah
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Vander Zanden, Hannah B.
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Wunder, Michael B.
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Trueman, Clive N.
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Pinney, Kailee
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Peers, Dori
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Dennison, Philip E.
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Horns, Joshua J.
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Şekercioğlu, Çağan H.
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Bowen, Gabriel J.
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Magozzi, Sarah
04b10c48-de68-4c20-ad93-eeb32ce442dc
Vander Zanden, Hannah B.
e79a50d2-bac4-4d66-90ac-39b53ff670d5
Wunder, Michael B.
cf630c47-54e9-4e3b-a18e-572ff0a2c505
Trueman, Clive N.
d00d3bd6-a47b-4d47-89ae-841c3d506205
Pinney, Kailee
820aa787-95cb-40bc-9bd0-c48d37193496
Peers, Dori
c3ec7b84-130e-4d6c-9890-64d44f67b71c
Dennison, Philip E.
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Horns, Joshua J.
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Şekercioğlu, Çağan H.
3eae6a28-a649-4e2a-86ab-dae1cdc4a56b
Bowen, Gabriel J.
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Magozzi, Sarah, Vander Zanden, Hannah B., Wunder, Michael B., Trueman, Clive N., Pinney, Kailee, Peers, Dori, Dennison, Philip E., Horns, Joshua J., Şekercioğlu, Çağan H. and Bowen, Gabriel J. (2020) Combining models of environment, behavior, and physiology to predict tissue hydrogen and oxygen isotope variance among individual terrestrial animals. Frontiers in Ecology and Evolution, 8, [536109]. (doi:10.3389/fevo.2020.536109).

Record type: Article

Abstract

Variations in stable hydrogen and oxygen isotope ratios in terrestrial animal tissues are used to reconstruct origin and movement. An underlying assumption of these applications is that tissues grown at the same site share a similar isotopic signal, representative of the location of their origin. However, large variations in tissue isotopic compositions often exist even among conspecific individuals within local populations, which complicates origin and migration inferences. Field-data and correlation analyses have provided hints about the underlying mechanisms of within-site among-individual isotopic variance, but a theory explaining the causes and magnitude of such variance has not been established. Here we develop a mechanistic modeling framework that provides explicit predictions of the magnitude, patterns, and drivers of isotopic variation among individuals living in a common but environmentally heterogeneous habitat. The model toolbox includes isoscape models of environmental isotopic variability, an agent-based model of behavior and movement, and a physiology-biochemistry model of isotopic incorporation into tissues. We compare model predictions against observed variation in hatch-year individuals of the songbird Spotted Towhee (Pipilo maculatus) in Red Butte Canyon, Utah, and evaluate the ability of the model to reproduce this variation under different sets of assumptions. Only models that account for environmental isotopic variability predict a similar magnitude of isotopic variation as observed. Within the modeling framework, behavioral rules and properties govern how animals nesting in different locations acquire resources from different habitats, and birds nesting in or near riparian habitat preferentially access isotopically lighter resources than those associated with the meadow and slope habitats, which results in more negative body water and tissue isotope values. Riparian nesters also have faster body water turnover and acquire more water from drinking (vs. from food), which exerts a secondary influence on their isotope ratios. Thus, the model predicts that local among-individual isotopic variance is linked first to isotopic heterogeneity in the local habitat, and second to how animals sample this habitat during foraging. Model predictions provide insight into the fundamental mechanisms of small-scale isotopic variance and can be used to predict the utility of isotope-based methods for specific groups or environments in ecological and forensic research.

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Accepted/In Press date: 18 November 2020
Published date: 11 December 2020

Identifiers

Local EPrints ID: 491002
URI: http://eprints.soton.ac.uk/id/eprint/491002
PURE UUID: c907826e-ee0f-4778-9f40-f449643f7b58
ORCID for Clive N. Trueman: ORCID iD orcid.org/0000-0002-4995-736X

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Date deposited: 11 Jun 2024 16:36
Last modified: 12 Jun 2024 01:39

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Contributors

Author: Sarah Magozzi
Author: Hannah B. Vander Zanden
Author: Michael B. Wunder
Author: Kailee Pinney
Author: Dori Peers
Author: Philip E. Dennison
Author: Joshua J. Horns
Author: Çağan H. Şekercioğlu
Author: Gabriel J. Bowen

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