Oxygen environment and metabolic oxygen demand predictably interact to affect thermal behavior in a lizard, <i>Sceloporus occidentalis</i>

Leibold, Dalton C.; Gastelum, Jacob A.; VandenBrooks, John M.; Telemeco, Rory S.

doi:10.1002/jez.2630

Cited by 3 publications

(3 citation statements)

References 49 publications

(68 reference statements)

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“…This procedure never induced visible injury, nor did it affect sprint performance immediately following trials. Moreover, the protocol elicits an aerobic metabolic response 2× greater than that of the maximum post‐exercise metabolic response in similarly sized lizards ( Sceloporus occidentalis measured at T OPT ; Leibold et al, 2022). To quantify MMR, we measured gas exchange while the lizard was perturbed for a total of 6 min.…”

Section: Methodsmentioning

confidence: 99%

“…The HMTL hypothesis predicts linear effects of O f on W mf and T mOPT under normoxic and hypoxic conditions, and thus γ and τ are simple coefficients that can be compared directly across traits, individuals or populations (see Figures 1 and B1). As with TPCs, we used a fixed CT MAX of 41.3°C (Bodensteiner, Gangloff, et al, 2021) in the TOPS model because theory and data agree that CT MAX is not affected by ecologically relevant O f (Gangloff & Telemeco, 2018; Bodensteiner, Gangloff, et al, 2021; Leibold et al, 2022). We fit TOPS models for aerobic scope and sprint speed using the nls function for measurements pooled across all animals, and we assessed model fit via RMSE (aerobic scope RMSE = 0.055 ml CO 2 /min, sprint speed RMSE = 0.542 m/s).…”

Section: Methodsmentioning

confidence: 99%

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From performance curves to performance surfaces: Interactive effects of temperature and oxygen availability on aerobic and anaerobic performance in the common wall lizard

et al. 2022

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1. Accurately predicting the responses of organisms to novel or changing environments requires the development of ecologically-appropriate experimental methodology and process-based models.2. For ectotherms, thermal performance curves (TPCs) have provided a useful framework to describe how organismal performance is dependent on temperature. However, this approach often lacks a mechanistic underpinning, which limits our ability to use TPCs predictively. Furthermore, thermal dependence varies across traits, and performance is also limited by additional abiotic factors, such as oxygen availability.3. We test a central prediction of our recent Hierarchical Mechanisms of Thermal Limitation (HMTL) Hypothesis which proposes that natural hypoxia exposure will reduce maximal performance and cause the TPC for whole-organism performance to become more symmetrical. 4. We quantified TPCs for two traits often used as fitness proxies, sprint speed and aerobic scope, in lizards under conditions of normoxia and high-elevation hypoxia.5. In line with the predictions of HMTL, anaerobically fuelled sprint speed was unaffected by acute hypoxia while the TPC for aerobic scope became shorter and more symmetrical. This change in TPC shape resulted from both the maximum aerobic scope and the optimal temperature for aerobic scope being reduced in hypoxia as predicted.6. Following these results, we present a mathematical framework, which we call Temperature-Oxygen Performance Surfaces, to quantify the interactive effects of temperature and oxygen on whole-organism performance in line with the HMTL hypothesis. This framework is transferrable across traits and levels of organization to allow predictions for how ectotherms will respond to novel

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

From performance curves to performance surfaces: Interactive effects of temperature and oxygen availability on aerobic and anaerobic performance in the common wall lizard

et al. 2022

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“…This study focuses on the western fence lizard ( Sceloporus occidentalis ), a generalist lizard widely distributed across Western North America that inhabits a diverse range of environments from sea level to elevations of ~3300 m (Baird & Girard, 1852; Leibold et al, 2022; Stebbins, 2003). This lizard species is an attractive model for this work because as ectotherms they are intimately dependent on several characteristics of their environment, including maximum and minimum temperatures, precipitation levels, and variation in seasonality—all of which we consider here.…”

Section: Introductionmentioning

confidence: 99%

Biogeographic inferences across spatial and evolutionary scales

Wishingrad

Thomson

2023

Molecular Ecology

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The field of biogeography unites landscape genetics and phylogeography under a common conceptual framework. Landscape genetics traditionally focuses on recent‐time, population‐based, spatial genetics processes at small geographical scales, while phylogeography typically investigates deep past, lineage‐ and species‐based processes at large geographical scales. Here, we evaluate the link between landscape genetics and phylogeographical methods using the western fence lizard (Sceloporus occidentalis) as a model species. First, we conducted replicated landscape genetics studies across several geographical scales to investigate how population genetics inferences change depending on the spatial extent of the study area. Then, we carried out a phylogeographical study of population structure at two evolutionary scales informed by inferences derived from landscape genetics results to identify concordance and conflict between these sets of methods. We found significant concordance in landscape genetics processes at all but the largest geographical scale. Phylogeographical results indicate major clades are restricted to distinct river drainages or distinct hydrological regions. At a more recent timescale, we find minor clades are restricted to single river canyons in the majority of cases, while the remainder of river canyons include samples from at most two clades. Overall, the broad‐scale pattern implicating stream and river valleys as key features linking populations in the landscape genetics results, and high degree of clade specificity within major topographic subdivisions in the phylogeographical results, is consistent. As landscape genetics and phylogeography share many of the same objectives, synthesizing theory, models and methods between these fields will help bring about a better understanding of ecological and evolutionary processes structuring genetic variation across space and time.

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3D printed models are an accurate, cost-effective, and reproducible tool for quantifying terrestrial thermal environments

Alujević,

Bakewell,

Clifton

et al. 2024

Journal of Thermal Biology

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Oxygen environment and metabolic oxygen demand predictably interact to affect thermal behavior in a lizard, Sceloporus occidentalis

Cited by 3 publications

References 49 publications

From performance curves to performance surfaces: Interactive effects of temperature and oxygen availability on aerobic and anaerobic performance in the common wall lizard

From performance curves to performance surfaces: Interactive effects of temperature and oxygen availability on aerobic and anaerobic performance in the common wall lizard

Biogeographic inferences across spatial and evolutionary scales

3D printed models are an accurate, cost-effective, and reproducible tool for quantifying terrestrial thermal environments

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