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Nat Commun
2023 Jun 27;141:3811. doi: 10.1038/s41467-023-39438-w.
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Oxygen availability and body mass modulate ectotherm responses to ocean warming.
Duncan MI
,
Micheli F
,
Boag TH
,
Marquez JA
,
Deres H
,
Deutsch CA
,
Sperling EA
.
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In an ocean that is rapidly warming and losing oxygen, accurate forecasting of species' responses must consider how this environmental change affects fundamental aspects of their physiology. Here, we develop an absolute metabolic index (ΦA) that quantifies how ocean temperature, dissolved oxygen and organismal mass interact to constrain the total oxygen budget an organism can use to fuel sustainable levels of aerobic metabolism. We calibrate species-specific parameters of ΦA with physiological measurements for red abalone (Haliotis rufescens) and purple urchin (Strongylocentrotus purpuratus). ΦA models highlight that the temperature where oxygen supply is greatest shifts cooler when water loses oxygen or organisms grow larger, providing a mechanistic explanation for observed thermal preference patterns. Viable habitat forecasts are disproportionally deleterious for red abalone, revealing how species-specific physiologies modulate the intensity of a common climate signal, captured in the newly developed ΦA framework.
Fig. 1. Shape of thermal relationships for different expressions of an organism’s oxygen balance in saturated water.A When the balance between oxygen supply (S) and basal demand (D) is expressed as a ratio (Solid black line), no clear temperature peak is identified if supply is a single monotonic function of temperature and only a single thermal limit can be identified (star). Note that the relationship between supply and temperature may not always be monotonic with temperature27, 29, 30. Thermal optima (lowest PO2crit) arise from the multi-step nature of O2 supply, which can be readily reproduced by the factorial form of the metabolic index30, but both the absolute and factorial forms shown here assume a single temperature-dependent supply function. B The same data expressed as the difference between S and D (solid black line) often yields a thermal peak and both warm and cold thermal limits can be estimated (stars). When additional energetic processes are performed the available oxygen balance decreases (red lines) in A and B. If these energetic processes are vital for performance a species’ thermal limits are defined as those temperatures where oxygen supply falls to match elevated oxygen demand (equal to a value of one in A and zero in B).The oxygen requirement of these additional processes can be quantified and removed from the total oxygen budget in B but must be measured in relation to demand in A, which is challenging if thermal sensitivities differ (i.e. additional energetic process does not equal 1.5 x basal demand across whole temperature range).
Fig. 2. The influence of oxygen availability (PO2, kPa) on oxygen supply (S) at a single temperature.A When oxygen availability is high, supply (S) is not constrained, and potential to consume excess oxygen is maximized (yellow area). As environmental oxygen decreases below PO2crit max, oxygen supply is limited at a rate equal to the oxygen supply capacity (αS) and potential for excess oxygen consumption is constrained (orange area). When oxygen supply (S) equals demand (D) the critical oxygen partial pressure (PO2crit) is reached, below which there is a deficit of oxygen required to fuel basal demand (red area). B Shape of oxygen limitation relationships when αS is constant (linear thick black line) or variable (non-linear blue line) yet PO2crit and PO2crit max are identical.
Fig. 3. Physiological measurements.Oxygen demand taken as standard metabolic rate (SMR; a, b) and critical oxygen partial pressure (PO2crit; c, d) data for the purple sea urchin, S. purpuratus (purple points) and red abalone, H. rufescens (red points) across experimental temperatures. Solid lines represent best fit Arrhenius models for SMR (a, b) and PO2crit fit with a quadratic (c) or exponential (d) model for S. purpuratus and H. rufescens, respectively. Models are illustrated for two different size classes corresponding to the smallest and largest wet weight (g) of experimental specimens. Source data are provided as a Source Data file.
Fig. 4. ΦA predictions across temperature-oxygen space.ΦA model predictions (viridis color scale) for S. purpuratus (a) and H. rufescens (b) across a temperature and oxygen state-space. ΦA values correspond to the median size (wet mass) of experimental organisms (S. purpuratus = 67.5 g, H. rufescens = 37.5 g), white lines are ΦA contours, and red points correspond to experimental PO2crit measurements where ΦA = zero. Source data are provided as a Source Data file.
Fig. 5. Variable optimum temperatures.Effect of oxygen availability (a, b) and mass (c, d) on the optimal temperature predictions from normalized absolute metabolic index (ΦA’) models for S. purpuratus (purple) and H. rufescens (red). Source data are provided as a Source Data file.
Fig. 6. ΦA’ explains metabolic niche.OBIS geo-referenced occurrences (black points) for S. purpuratus (a) and H. rufescens (b) matched with corresponding temperature and oxygen conditions from the ROMS ocean model and layered over ΦA’ predictions across the temperature-oxygen state-space (viridis colors). Source data are provided as a Source Data file.
Fig. 7. Spatial modelling.Spatial predictions of contemporary (1995–2010, a, b) and future (2071–2100 under the RCP 8.5 emissions scenario, c, d) viable habitat for S. purpuratus (purple) and H. rufescens (red) derived by classifying the minimum normalized ΦA value for each cell as suitable above a 0.849 threshold for S. purpuratus and 0.928 threshold for H. rufescens (inserts). Dashed lines delimit core continuous distribution predictions. Note that the future distribution of H. rufescens is hard to visualize at this large spatial scale because it loses habitat at depth and hugs the coastline closely.
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