In lizards there is considerable variation in the ability to dissipate environmental/endogenous heat loads through evaporative cooling via panting, which effects how long lizards can spend exposed to high solar heat loads. We recently described the differing capacities of lizards to depress body temperature (Tb) through evaporative cooling via panting. Here, we link panting and Tb depression with rates of evaporative water loss and its metabolic costs under high heat loads. We used flow-through respirometry to measure evaporative water loss rates and metabolism of 17 lizard species from the American Southwest while simultaneously measuring Tb. We exposed lizards to air temperatures (Ta) ranging from 35°C to their critical thermal maximum (CTmax) while marking the onset of panting. We then estimated pre-panting Q10 values for metabolism to partition increases in metabolism associated with the van't Hoff effect from the mechanical cost of panting with increasing heat loads. We found that evaporative cooling costs substantially varied among species, with panting effort significantly affecting lizards' evaporative capacity. Lizard evaporation rates ranged from 0.32 to 1.5 g H2O h−1, with individuals losing as much as 6% h−1 of body mass while panting. Lizards also experienced an increase of up to 7.9-fold in metabolic rate while panting, although the overall energetic costs of panting remained relatively low compared with evaporative water costs. Across species, there was a significant positive relationship between the overall rate of evaporative heat loss and the maximum TaTb gradient a species could maintain. While evaporative cooling may be an effective mechanism for reducing Tb and extending activity in hot environments for many species, it has significant metabolic and water balance costs that should be considered, as habitats with high environmental heat loads can be especially costly to an animal's water budgets.

Lizards thermoregulate using a suite of behavioral (i.e. shuttling and body positioning) and physiological (i.e. color change, panting, cardiovascular adjustments) mechanisms to control body temperature (Tb) or to avoid critical or lethal extremes (Cowles and Bogert, 1944; Norris, 1967; Bartholomew, 1982). When conditions are conducive to elevated Tb, lizards will often thermoregulate to maximize activity times dedicated to foraging, breeding and territory defense (Huey, 1982, 1991). In a recent study (Loughran and Wolf, 2020), we observed that when operative environmental temperatures [the equivalent Tb that integrates the effects of air temperature (Ta), wind speed and radiative exchange] exceed a lizard's preferred limits, many species can substantially lower their Tb below Ta by evaporative cooling via panting. However, because panting in lizards has historically been viewed as an ineffective thermoregulatory mechanism (Mautz, 1982a), data on metabolic and evaporative water loss (EWL) rates have typically not been reported at temperatures that exceed panting thresholds (Tpant) or approach the critical thermal maxima (CTmax; e.g. Munsey, 1972; Snyder, 1975; Mautz, 1982b; Sannolo et al., 2018; Muñoz-Nolasco et al., 2019; but see Case, 1972; Frappell and Daniels, 1991). Thus, the physiological costs that affect the panting efficacy of species, and the subsequent ecological consequences, remain poorly understood. While the positive relationship between Ta and lizard metabolic rate has been well established (Andrews and Pough, 1985), we have limited insight into the comparative contribution of the van't Hoff effect (often quantified as Q10, which describes the magnitude of change in the rate of a reaction over a 10°C range), and the mechanical costs associated with panting (i.e. increased breathing and heart rates) that increase the overall metabolic rate in panting lizards. Disentangling these factors is key to understanding the metabolic ‘cost’ of panting, as a species' ability to evaporatively cool is closely tied to respiratory rates and depth (Tattersall et al., 2006).

Evaporative cooling potentially has substantial ecological benefits such as increasing surface activity times in hot conditions, providing individuals with a competitive edge against conspecifics, and temporarily maintaining a thermal safety margin equivalent to retreating to thermal refugia (Tracy and Christian, 1986; Sunday et al., 2014). However, the increased water loss rates and increases in metabolism associated with elevated Ta while panting produce cost and benefit tradeoffs such that lizards must recoup the water and energy costs of panting from food items to maintain positive water and energy balance or face reduced condition or dehydration (Bentley and Schmidt-Neilsen, 1966; Huey and Slatkin, 1976; Mautz, 1982a,b; Andrews and Pough, 1985). While panting behavior is occasionally observed in nature, its frequency and utility for evaporative thermoregulation and varying thermal conditions are poorly understood (Furness, 2021; Le Galliard et al., 2021). Thus, understanding the costs and benefits of panting and how these might vary among species and habitats is especially important given the rapid warming and drying of the arid regions of the world, where lizards are often diverse and abundant (Pianka and Vitt, 2003).

In this study, we examined the variation in the evaporative and metabolic costs of cooling via panting and their association with thermoregulatory performance over a range of temperatures for 17 lizard species, representing four families, from the American Southwest. For these species, we previously noted significant interspecific variability in their capacity to lower Tb below Ta while panting, with species showing the greatest panting ability tending to inhabit more arid environments (Loughran and Wolf, 2020). Furthermore, we found that while thermal thresholds such as Tpant and CTmax were phylogenetically conserved, panting ability was not. We concluded that panting ability is likely adaptive, and that the mechanisms that affect it (i.e. metabolic and water loss rates) will track with each species' respective panting abilities (Loughran and Wolf, 2020). Because the species used in our previous study (Loughran and Wolf, 2020) and in this study occur in a wide array of habitats, ranging from desert to montane, we can examine how the mechanisms that influence species’ panting efficiency vary across thermal environments. Additionally, as Tb increases with increasing Ta, we can also estimate the physical costs of panting by separating the van't Hoff effect on metabolism from metabolic increases due to the mechanical costs of ventilation.

Here, we asked the following questions; (1) how are values for Tb depression and rates of EWL correlated within and among species of panting lizards?; (2) what are the mechanical costs of panting, and how do these values compare with increases in metabolism due to the van't Hoff effect with increasing heat loads and Tb?; and (3) what are the potential water and energy balance costs of evaporative cooling and what are the potential implications for lizards in a rapidly warming world?

Study species and handling procedures

We sampled a total of 202 lizards, including 13 species from Phrynosomatidae: zebra-tailed lizard (Callisaurus draconoides Blainville 1835), greater earless lizard (Cophosaurus texanus Troschel 1852), Texas horned lizard [Phrynosoma cornutum (Harlan 1825)], greater short-horned lizard (Phrynosoma hernandesi Girard 1858), round-tail horned lizard (Phrynosoma modestum Girard 1852), regal horned lizard (Phrynosoma solare Gray 1845), twin-spotted spiny lizard (Sceloporus bimaculosus Phelan and Brattstrom 1955), Clark's spiny lizard (Sceloporus clarkii Baird and Girard 1852), southwestern fence lizard (Sceloporus cowlesi Lowe and Norris 1956), Yarrow's spiny lizard (Sceloporus jarrovii Cope 1875), crevice spiny lizard (Sceloporus poinsettii Baird and Girard 1852), ornate tree lizard [Urosaurus ornatus (Baird and Girard 1852)] and side-blotched lizard (Uta stansburiana Baird and Girard 1852); one each from Crotaphytidae: eastern collared lizard [Crotaphytus collaris (Say 1822)], and Teiidae: chihuahuan spotted whiptail [Aspidoscelis exsanguis (Lowe 1956)]; and two from Iguanidae: desert iguana [Dipsosaurus dorsalis (Baird and Girard 1852)] and chuckwalla (Sauromalus ater Duméril 1856) (Table 1). These species were targeted based on the wide range of habitats occupied [i.e. lowland desert (D. dorsalis) to arid upland (C. texanus, S. bimaculosus), to montane woodland (S. jarrovii, P. hernandesi)] and disparate ecologies [i.e. sit-and-wait (C. collaris) versus active foraging (A. exsanguis), habitat generalists (S. clarkii, S. cowlesii) versus specialists (S. poinsettii)]. Lizards were captured at multiple localities in New Mexico and Arizona, USA, between May and September of 2017 and 2018, and in May of 2019. Sauromalus ater were captive-hatched individuals from parents originating in Riverside Co., CA, USA, and were kept in semi-naturalistic outdoor enclosures prior to trials.

Table 1.

Minimum and maximum total evaporative water loss and mass-specific rate of water loss, slope of total evaporative water loss rate versus air temperature while panting and maximum percentage body mass loss while panting

Minimum and maximum total evaporative water loss and mass-specific rate of water loss, slope of total evaporative water loss rate versus air temperature while panting and maximum percentage body mass loss while panting
Minimum and maximum total evaporative water loss and mass-specific rate of water loss, slope of total evaporative water loss rate versus air temperature while panting and maximum percentage body mass loss while panting

Animals were captured with a lasso attached to a ∼3.7 m long pole or by hand. Following capture, lizards were held in cloth bags and transported to the University of New Mexico laboratory in a cooler that was kept in a climate-controlled environment (room temperature or cooler) to reduce activity. Animals were held no longer than 72 h prior to trials, with the majority of individuals (>60%) undergoing a trial within 24 h of being captured. Food was withheld a minimum of 6 h prior to trials. Lizards were offered water ad libitum with a wet paper towel or free-standing water prior to trials. Following trials, lizards were euthanized via an intracelomic injection of a 50% mixture of MS-222 and water (Conroy et al., 2009) and deposited in the Museum of Southwestern Biology. Animal care protocols were approved by the Institutional Animal Care and Use Committee of the University of New Mexico (protocol no. 16-200437-MC). Lizards were captured under permits from the New Mexico Game and Fish Department (#3627) and the Arizona Game and Fish Department (#SP510878). Ironwood Forest National Monument also granted permission to collect animals.

Ta and Tb measurements

Ta and Tb were measured using a thermocouple thermometer (model TC-2000, Sable Systems, Las Vegas, NV, USA) with two Cu–Cn thermocouples (model RET-4, Physitemp, Clifton, NJ, USA) inserted in the animal chamber via a small hole sealed with silicone glue. One thermocouple measured chamber Ta and the second thermocouple measured Tb and was inserted ∼10 mm (up to 20 mm for larger lizards such as chuckwallas) into the lizard's cloaca and held in place with a 1 cm wide piece of vinyl electrical tape.

Measurement of metabolic and EWL rates

Metabolic rate and EWL measurements were made over a Ta range of 35 to 50°C using a flow-through respirometry system. The respirometry chamber consisted of a transparent plastic container (1.7 l, 12 cm×8 cm×16 cm for lizards under 50 g; 3.6 l, 20 cm×8 cm×22 cm for lizards over 50 g; Snapware Total Solutions, Pyrex, Greencastle, PA, USA) sealed by a snap-latch lid lined with a silicone gasket. Before measurements, we tested the chambers for ambient air infiltration by comparing CO2 and H2O vapor concentrations in the chambers against air that had been scrubbed in a Drierite/Ascarite column. The lizard chamber was placed inside an environmental chamber (model no. 166VL, Percival Scientific, Perry, IA, USA) where temperature was controlled to ±0.5°C.

Incurrent air was provided from a compressed air source pushed through a purge gas generator where air was scrubbed of CO2 (<1 ppm) and H2O (dew point <−20°C; model PCRMBX1A##-F, Puregas LLC, Broomfield, CO, USA). Air flow to animal chambers was regulated by mass-flow controllers (MC-5SLPM-TFT/5M, Alicat, Tucson, AZ, USA). Flow rates to the chamber were selected to maintain a low H2O concentration (<5 ppt water vapor). Depending on H2O concentration and animal body mass (Mb), flow rates ranged from 0.5 to 5 standard liters per minute (SLM). Excurrent air from the chambers and baseline air were subsampled by a multiplexer (model TR-RM8, Sable Systems) that was electronically programmed to switch between chamber and baseline at 5 min intervals. Subsampled air was directed to a CO2/H2O gas analyzer (model LI-840A in 2017, model LI-7000 in 2018 and 2019, LI-COR, Lincoln, NE, USA) at approximately 300 ml min−1. Gas analyzer units were zeroed with Drierite- and Ascarite-scrubbed air and spanned with a dew point generator set at 5°C (model LI-610, LI-COR) and with a known CO2 gas mixture (1802 ppm). Voltage outputs from the thermocouple and gas analyzer units were digitized using an analog–digital converter (model UI-2, Sable Systems), and were recorded once per second by Expedata (version 1.4.15, Sable Systems). All tubing in the system was ¼ inch (6.35 mm) Bev-A-Line IV tubing (Thermoplastic Processes Inc., Warren, NJ, USA).

Experimental protocol

Lizards were weighed to ±0.1 g accuracy on a digital scale (model V31XH202, Ohaus, Parsippany, NJ, USA) and placed into the lighted chamber at a Ta of 35°C and were left until Ta and Tb equilibrated, allowing for habituation to the chamber environment. Any fecal material produced prior to or during the trial was removed from the chamber, weighed and subtracted from initial body mass, and the chamber environment was allowed to re-equilibrate. Experimental trials commenced when Tb was equal to Ta (±0.2°C). We started all lizards at 35°C and then increased the temperature to 38°C, followed by increases in 2°C increments until the lizard reached its approximate CTmax. Lizards were held at each new set chamber temperature for approximately 30 min to allow Tb to equilibrate with Ta, before ramping up to the next temperature. Lizard activity was monitored via video camera and activity measurements were categorized as ‘inactive’, ‘brief activity’, ‘continuous activity’ and ‘panting’. It was noted when lizards were continuously active, i.e. when a lizard engaged in running or jumping for longer than 5 s, and those measurements were removed from the data series. Slight intermittent gaping was not categorized as ‘panting’. A detailed description of the heating protocol and the criteria used for measuring panting and CTmax is given in Loughran and Wolf (2020). In brief, a lizard's CTmax was designated when (1) there was a sharp increase in Tb, indicating evaporative cooling was no longer effective, (2) a lizard showed prolonged distress or escape behavior (i.e. continuous running/jumping) for >5 min, (3) chamber CO2 values fell sharply, indicating heat shock, and (4) a lizard showed a loss of balance or righting response (LRR), including the onset of spasms (OS; Lutterschmidt and Hutchison, 1997; see Loughran and Wolf, 2020, for discussion). We designated the maximum Ta experienced by the lizard at their CTmax as the heat tolerance limit (HTL). Following each trial, the lizard was removed from the chamber, reweighed and allowed to recover in a cotton bag with a wet paper towel until its Tb stabilized to approximately room temperature.

Data analysis

For each trial, we selected the lowest 5 -min average CO2 readings per recorded temperature. We aimed to select 5 min segments in the last 5–10 min of each 30 min reading, so that the animal's Tb had sufficient time to equilibrate. Segments where ‘continuous activity’ was observed were excluded from the analyses. We used eqns 10.5 and 10.9 from Lighton (2008) to determine the rate of CO2 production in ml min−1 and H2O production in mg h−1, respectively. We assumed a respiratory quotient (RQ) of 0.71 for lizards. We used a thermal equivalent of 27.8 J ml−1 CO2 produced to estimate metabolic heat production (MHP; Walsberg and Wolf, 1995), and the latent heat of water vaporization of 2.41 J mg−1 H2O to estimate evaporative heat loss (EHL; Tracy et al., 2010). MHP and EHL estimates are reported in milliwatts per gram (mW g−1). We define metabolic and evaporative scope as the ratio of the maximum observed rate (at CTmax) to the minimum observed rate (at 35°C) and define evaporative heat dissipation efficiency (EHD) as the ratio of maximum EHL to maximum MHP.

All statistical analyses were carried out using R software (version 4.0.2, http://www.R-project.org/). To determine the effect of panting on metabolic and evaporation rates, panting status was divided into two categories when making comparisons over a range of Ta values: ‘panting’ and ‘not panting’. We analyzed the effect of panting on MHP and EHL for each species using linear mixed effects models with the nmle package (https://CRAN.R-project.org/package=nmle) with panting status treated as a main effect, Ta treated as a covariate, and individual lizard treated as a random factor.

To estimate the van't Hoff effect, where metabolic rate increases were due to increases in Tb, we calculated the Q10 of each individual lizard prior to the onset of panting using the following equation:
(1)
where R is metabolic rate, and T is temperature in °C (Bennett, 1980). R1 and T1 are the first recorded metabolic rate and Tb for each individual, respectively, and R2 and T2 are the last recorded metabolic rate and Tb before panting for each individual. Individuals that did not have multiple temperature readings prior to panting were excluded from calculations. Depending on the pre-panting Tb selected for an individual lizard, the T2T1 difference typically ranged from 2 to 4°C. To estimate potential maximum metabolic rates using pre-panting Q10 estimates, the Q10 formula was rearranged as follows:
(2)
where T1 is the Tb at the first recorded metabolic rate, R1, T2 is the Tb at the individual's observed CTmax, and Q10 is the individual lizard's calculated pre-panting Q10. Predicted maximum metabolic rate values were compared with observed maximum values, and mean differences between the two estimates were used in subsequent regression models to estimate the relationship between the metabolic cost of panting and EHL.

We used the mean maximum observed MHP, maximum Q10-predicted MHP, maximum EWL and EHL, maximum EHD, and maximum TaTb gradient for each species when conducting regression analyses. We compared maximum observed MHP values with Q10-predicted MHP values using Welch's t-test, as variances between groups were not equal. We used general linear models to analyze the relationships between (1) the cost of panting (i.e. maximum observed−predicted MHP) and maximum EHL, (2) maximum EHL with maximum TaTb gradient, and (3) EHD with evaporative scope. For test 2, leverage values for one species (P. modestum) had a significant outlier effect on the overall species trend due to high leverage. We thus report regression results both with and without P. modestum included. Phylogenetic independence of traits was tested a priori (maximum temperature gradient maintained while panting, as well as the associated traits of maximum MHP and EHL, showed no phylogenetic signal as determined by Blomberg's K and Pagel's λ; Loughran and Wolf, 2020). Because we account for mass-specific rates of MHP and EHL, we did not include Mb as a main effect in those respective model analyses.

EWL

There was a significant increase in EWL (mg g−1 h−1) with increasing Ta for all species and a significant effect of panting on water loss rate for 16 species (Fig. 1, Table 1): C. collaris: 24.4-fold increase (F1,117=148.3, P<0.001), D. dorsalis: 16.2-fold increase (F1,62=128.9, P<0.001), S. ater: 13.7-fold increase (F1,49=26.8, P<0.001), C. draconoides: 14.3-fold increase (F1,54=30.3, P<0.001), C. texanus: 17.5-fold increase (F1,55=105.0, P<0.001), P. cornutum: 15.9-fold increase (F1,27=14.9, P<0.01), P. hernandesi: 15.9-fold increase (F1,70=9.5, P<0.01), P. modestum: 26.2-fold increase (F1,47=65.8, P<0.001), P. solare: 12.2-fold increase (F1,8=15.5, P<0.01), S. bimaculosus: 11.9-fold increase (F1,46=29.3, P<0.001), S. clarkii: 14.2-fold increase (F1,66=55.5, P<0.001), S. cowlesi: 10.3-fold increase (F1,50=15.1, P<0.01), S. jarrovii: 10.6-fold increase (F1,39=31.2, P<0.001), S. poinsettii: 4.6-fold increase (F1,81=5.1, P=0.02), U. ornatus: 11.7-fold increase (F1,63=139.2, P<0.001) and U. stansburiana: 5.4-fold increase (F1,34=25.8, P<0.001). While panting, slopes ranged from 0.015 g h−1 °C−1 for S. poinsettii to 0.18 g h−1 °C−1 for S. ater. Minimum rates of EWL (g h−1) at Ta=35°C varied from an average of 0.01 g h−1 for C. draconoides to 0.09 g h−1 for S. ater, whereas maximum rates of EWL varied from an average of 0.1 g h−1 for U. stansburiana to 1.5 g h−1 for S. ater (Table 1).

Fig. 1.

Evaporative water loss (EWL) and evaporative heat loss (EHL) as a function of air temperature (Ta). Blue lines indicate evaporation rate before panting. Red lines indicate evaporation rate after panting. There was a positive relationship between Ta and evaporation rate in all species, and a significant increase in evaporation following panting for 14 species.

Fig. 1.

Evaporative water loss (EWL) and evaporative heat loss (EHL) as a function of air temperature (Ta). Blue lines indicate evaporation rate before panting. Red lines indicate evaporation rate after panting. There was a positive relationship between Ta and evaporation rate in all species, and a significant increase in evaporation following panting for 14 species.

Lizards lost an average of 6.4% Mb over the course of a trial, and an average of 2.8% Mb h−1 while panting at peak capacity at the species' respective CTmax. There was a significant negative association between Mb and the percentage Mb h−1 lost while panting (F1,182=40.4, P<0.001), with a significant interactive effect of lizard family (F3,182=11.5, P<0.001) accounting for different average body masses of families (i.e. Iguanidae versus Phrynosomatidae). Small-bodied lizards tended to lose a greater percentage body mass at higher rates than large-bodied lizards, with the smallest lizards (U. oranatus and U. stansburiana) losing approximately 2.1% and 4.0% Mb h−1, respectively, whereas the largest lizard (S. ater) lost an average of 1.4% Mb h−1 while panting at maximum capacity (Table 1).

MHP and metabolic cost of panting

There was a significant increase in MHP (mW g−1) with increasing Ta for all species and the onset of panting had a significant effect on metabolic rate for 11 species from 35°C to the CTmax (Fig. 2, Table 2): C. draconoides: 5.2-fold increase (F1,54=47.6, P<0.001), C. texanus: 7.2-fold increase (F1,55=10.6, P<0.01), C. collaris: 5.5-fold increase (F1,117=32.3, P<0.001), D. dorsalis: 6.8-fold increase (F1,62=25.1, P<0.001), P. hernandesi: 3.9-fold increase (F1,70=12.7, P<0.001), S. bimaculosus: 3.7-fold increase (F1,46=9.9, P<0.01), S. clarkii: 5.0-fold increase (F1,66=22.8, P<0.001), S. cowlesi: 3.1-fold increase (F1,50=28.3, P<0.001), S. jarrovii: 3.4-fold increase (F1,39=8.3, P<0.01), U. ornatus: 4.2-fold increase (F1,63=96.9, P<0.001) and U. stansburiana: 2.5-fold increase (F1,34=14.5, P<0.001).

Fig. 2.

Metabolic heat production (MHP) as a function of Ta. Blue lines indicate metabolic rate before panting. Red lines indicate metabolic rate after panting. There was a positive relationship between metabolic rate and Ta for all species, and many species showed a significant uptick in metabolic rate following the onset of panting.

Fig. 2.

Metabolic heat production (MHP) as a function of Ta. Blue lines indicate metabolic rate before panting. Red lines indicate metabolic rate after panting. There was a positive relationship between metabolic rate and Ta for all species, and many species showed a significant uptick in metabolic rate following the onset of panting.

Table 2.

Minimum and maximum metabolic heat production, slope of metabolic heat production versus Ta while panting, metabolic scope, predicted maximum MHP, metabolic cost of panting, minimum and maximum evaporative heat loss, slope of evaporative heat loss versus Ta while panting, evaporative scope and minimum and maximum heat dissipation efficiency of species sampled

Minimum and maximum metabolic heat production, slope of metabolic heat production versus Ta while panting, metabolic scope, predicted maximum MHP, metabolic cost of panting, minimum and maximum evaporative heat loss, slope of evaporative heat loss versus Ta while panting, evaporative scope and minimum and maximum heat dissipation efficiency of species sampled
Minimum and maximum metabolic heat production, slope of metabolic heat production versus Ta while panting, metabolic scope, predicted maximum MHP, metabolic cost of panting, minimum and maximum evaporative heat loss, slope of evaporative heat loss versus Ta while panting, evaporative scope and minimum and maximum heat dissipation efficiency of species sampled

The maximum observed MHP significantly exceeded the maximum predicted MHP estimates from pre-panting Q10 values for 10 species (Fig. 3): C. collaris: 4.3 mW g−1 (123% higher, t=6.4, P<0.001), D. dorsalis: 4.2 mW g−1 (127% higher, t=4.7, P<0.001), C. draconoides: 3.6 mW g−1 (97% higher, t=4.1, P<0.001), C. texanus: 5.4 mW g−1 (109% higher, t=4.6, P<0.001), P. cornutum: 4.1 mW g−1 (120% higher, t=2. 4, P=0.04), P. hernandesi: 2.9 mW g−1 (61% higher, t=3.1, P<0.01), S. bimaculosus: 3.0 mW g−1 (74% higher, t=3.0, P=0.01), S. clarkii: 5.0 mW g−1 (137% higher, t=9.0, P<0.001), S. cowlesi: 3.0 mW g−1 (63% higher, t=4.4, P<0.001) and U. ornatus: 5.6 mW g−1 (117% higher, t=6.9, P<0.001). Phrynosoma solare, S. jarrovii and S. ater had maximum MHP values that exceeded estimates by 3.7 mW g−1 (102% higher), 1.4 mW g−1 (29% higher) and 1.5 mW g−1 (34% higher), respectively, suggesting a metabolic cost for panting, although these values were not statistically significantly different from values expected based on pre-panting Q10 estimates (Table 2). Aspidoscelis exsanguis, P. modestum, S. poinsettii and U. stansburiana had maximum MHP values that were within 1 mW g−1 of Q10 predictions, indicating a minimal effect of panting on the overall increase in metabolic rate.

Fig. 3.

Maximum observed MHP and pre-panting Q10-predicted maximum MHP estimates. Many species had higher metabolic rates than predicted from pre-panting Q10 values. The physical cost of panting can be estimated by subtracting the estimated Q10 values from the observed maximum metabolic rate.

Fig. 3.

Maximum observed MHP and pre-panting Q10-predicted maximum MHP estimates. Many species had higher metabolic rates than predicted from pre-panting Q10 values. The physical cost of panting can be estimated by subtracting the estimated Q10 values from the observed maximum metabolic rate.

Heat loss while panting

EHL significantly affected lizard TaTb gradient for each species when tested independently. Across species, there was a significant positive relationship between maximum EHL and maximum TaTb gradient (F1,15=14.2, P<0.01; R2=0.49; Fig. 4). There was a non-significant positive effect of the metabolic cost of panting (i.e. maximum observed−predicted MHP) on maximum EHL when P. modestum was included in the regression (F1,15=3.4, P=0.08; R2=0.18) and a significant effect of metabolic cost when P. modestum was excluded (F1,14=24.1, P<0.001; R2=0.61; Fig. 5). During panting, rates of evaporative heat dissipation efficiency (ratio of maximum EHL to maximum MHP) had a significant positive relationship with evaporative scope (F1,15=11.2, P<0.01; R2=0.43). Aspidoscelis exsanguis and S. poinsettii had the lowest overall evaporative heat dissipation efficiency while panting, at 1.5±0.1 and 1.9±0.1, respectively, owing to their high MHP (A. exsanguis) or low EHL (S. poinsettii) when exposed to high air temperatures. In contrast, C. collaris, P. solare and P. modestum had the highest evaporative heat dissipation values, at 5.0±0.5, 4.9±1.9 and 6.1±0.9, respectively, as a result of their high EHL values and comparatively low MHP values (Table 2). Interestingly, S. ater, which had a relatively low average EHD value of 2.0±0.2, still managed to significantly lower its Tb an average of 1.7°C below Ta while panting, whereas S. jarrovi, which had a moderate EHD of 2.8±0.2, was only able to lower its Tb an average of 1.0°C below Ta while panting (Table 2; Table S1).

Fig. 4.

Mean maximum Ta–body temperature (Tb) gradient as a function of mean maximum EHL while panting for each species.R2=0.48. Dot colors represent the different families of lizards sampled: black, Phrynosomatidae; green, Iguanidae; red, Crotaphytidae; blue, Teiidae. There was a strong significant positive relationship between maximum EHL and maximum gradient, independent of family.

Fig. 4.

Mean maximum Ta–body temperature (Tb) gradient as a function of mean maximum EHL while panting for each species.R2=0.48. Dot colors represent the different families of lizards sampled: black, Phrynosomatidae; green, Iguanidae; red, Crotaphytidae; blue, Teiidae. There was a strong significant positive relationship between maximum EHL and maximum gradient, independent of family.

Fig. 5.

Mean maximum EHL as a function of the metabolic cost of panting for each species. Metabolic cost of panting was calculated as observed MHP−pre-panting Q10-predicted maximum MHP. R2=0.18 (with P. modestum), R2=0.61 (without P. modestum). Dot colors represent the different families of lizards sampled: black, Phrynosomatidae; green, Iguanidae; red, Crotaphytidae; blue, Teiidae. Species that had a greater metabolic cost of panting tended to have higher maximum rates of EHL.

Fig. 5.

Mean maximum EHL as a function of the metabolic cost of panting for each species. Metabolic cost of panting was calculated as observed MHP−pre-panting Q10-predicted maximum MHP. R2=0.18 (with P. modestum), R2=0.61 (without P. modestum). Dot colors represent the different families of lizards sampled: black, Phrynosomatidae; green, Iguanidae; red, Crotaphytidae; blue, Teiidae. Species that had a greater metabolic cost of panting tended to have higher maximum rates of EHL.

EWL and Tb depression

Across our survey of 17 species of lizards we found that panting effort – increases in metabolic rate – directly affected evaporative cooling ability in lizards, where an increased effort resulted in greater rates of EWL. Increasing rates of EHL produced increasing Tb depression, supporting the direct link between evaporative cooling and Tb. We also found that metabolic rate increased approximately 4.7 times across species from Ta of 35°C to the CTmax and approximately 37% of this increase was attributable to the mechanical costs of panting. Modest increases in metabolism produced high rates of EHL with ratios of EHD to MHP (cost of panting values) averaging 5.7 across 14 species. Overall, our data indicate that Tb depression via evaporative cooling has modest metabolic costs, but high costs in terms of water that make it an expensive strategy for controlling Tb under high environmental heat loads. Below, we discuss these results in more detail.

In all species, rates of EWL increased with the onset of panting, although the cooling effects were highly variable among species (Fig. 1). Across species, there was a high correlation between rates of EWL and Tb depression, with species that had the greatest evaporative rates during panting depressing Tb 2–3°C below Ta (Fig. 4). Among the most effective were C. collaris, which evaporated water at a maximum rate of 37.3 mg H2O g−1 h−1, roughly equivalent to an EHL rate of 25 mW g−1, followed by S. clarkii, with a maximal EWL rate of 36.8 mg H2O g−1 h−1 (equivalent to 25.6 mW g−1), and P. modestum, which showed a maximal evaporative rate of 55 mg H2O g−1 h−1 (equivalent to 36.8 mW g−1). In contrast, species such as A. exsanguis and S. poinsettii showed more modest increases in EWL following the onset of panting, with maximal observed EWL rates of 20.1 mg H2O g−1 h−1 (∼13.4 mW g−1) and 13.1 mg H2O g−1 h−1 (∼9.3 mW g−1), which resulted in minimal depression of Tb (Table 1; Table S1). Overall, species differences represented a 5-fold variation in EWL and cooling ability, with evaporative scope (magnitude of increase in evaporation from 35°C to CTmax) ranging from roughly 5 at the low end (A. exsanguis, S. poinsettii) to roughly 25 at the high end (C. collaris, P. modestum, S. clarkii; Table 2). In the case of A. exsanguis, high variation in EWL measurements due to the erratic escape behavior may have inflated the estimate of evaporative scope (Fig. 1, Table 2). Nevertheless, the range in evaporative scope represents differences in the ability to depress Tb ranging from 0.7 to 2.7°C on average (Table S1), a trend that potentially tracks the aridity of habitats occupied by species (Duvdevani and Borut, 1974; Loughran and Wolf, 2020).

While there are several studies that have described the EWL rates of some species used in this study, comparative data on EWL rates at Ta that exceed a lizard's Tpant or approach its CTmax are limited (Le Galliard et al., 2021). Dawson and Templeton (1963) measured EWL rates for C. collaris and reported EWL rates of 1.0–6.0 mg H2O g−1 h−1 at 40–45°C. Chamber flow rates were much lower than those used in the current study (∼125 ml min−1) with chamber humidity ∼30%, which produce conditions that inhibit EWL. Similarly, Templeton (1960) measured EWL rates for D. dorsalis at air temperatures above its Tpant, reporting water loss rates at 3.6 mg H2O g−1 h−1. It is likely that experimental conditions in these studies explain the overall view at the time that most lizards lack the capacity for evaporative cooling as the conditions were not reflective of hot arid deserts. A seminal study by Case (1972) was apparently the first to recognize and show the capacity for evaporative cooling in lizards residing in hot deserts. Case (1972) measured heating and cooling rates in S. ater [obesus] from the Mojave Desert and their ability to maintain stable Tb at Ta exceeding 44°C. During heating trials, S. ater started panting at Ta 40–44°C and were able to maintain a TaTb gradient of 2–5°C for up to 2 h, which required EWL rates of 13.2–22.8 mg g−1 h−1. Case (1972) also found seasonal differences in cooling ability, with animals tested in the spring having a greater capacity for evaporative cooling compared with those tested in the autumn. In our study, EWL rates in S. ater averaged 13.9 mg g−1 h−1 at their CTmax and lizards were able to maintain an average TaTb gradient of 1.7°C (Table 1; Table S1), which compares well with the values observed by Case (1972).

Metabolic costs of cooling

We sought to quantify the metabolic cost of panting for lizards by separating temperature-induced increases in metabolic rate (i.e. van't Hoff effect) from increases in metabolism due to the physical cost of panting. This allows us to establish how energetically expensive panting is for lizards, as well as better understand the role of Ta in influencing a lizard's metabolic rate when temperatures exceed Tpant. This approach provides some insight into the factors affecting the metabolic costs of panting at high temperatures but does not account for all factors that may influence energy expenditure in nature (i.e. air density, ventilation rates, stress) and should thus be considered with caution. To estimate the temperature-induced increases in metabolism, we calculated a pre-panting Q10 value for each species and used this value to account for thermally induced changes in metabolism above the panting threshold to the CTmax. Our pre-panting Q10 estimated values compare well with literature estimates of Q10 values over this temperature range (e.g. Crawford and Kampe, 1971; Watson and Burggren, 2016). Overall, metabolic rate at the CTmax was from 3-fold (A. exsanguis) to more than 7-fold (C. texanus) higher than values measured at a Ta of 35°C, with species exhibiting the greatest panting effort (i.e. metabolic cost of panting) also showing the largest increases in EWL (Table 2). Panting costs, after removal of the van't Hoff effect contributions, varied widely across species but increased with evaporative cooling ability (Figs 2 and 3). We found that 10 species showed panting costs above the Q10 metabolic baseline, with panting costs ranging from <1 times (P. modestum, S. poinsettii) to roughly 3 times (C. collaris, C. texanus, D. dorsalis) greater than the predicted metabolic rate based on pre-panting Q10 values. These values indicate that given a species' overall panting effort, energetic costs of panting are either equal to or greater than the thermally induced van't Hoff effect but are comparatively small compared with the EHL from this activity (Table 2; Table S2). Consequently, the metabolic heat produced from increasing panting effort does not cancel the cooling effects of EHL.

Species that showed greater increases in metabolism with panting typically had higher EWL rates. Phrynosoma modestum had exceptionally high EWL rates that were supported by low metabolic costs, making it one of the most efficient species at dissipating heat (Fig. 5). This could be due to its small size combined with the low metabolic rate and high heat tolerance characteristic of Phrynosoma, although further investigation is required. One species, A. exsanguis, did not display an increase in metabolic rate above the Q10 estimates with the onset of panting. Rather than panting, this species displayed rapid gular fluttering (opening its mouth and rapidly pulsating the hyoid and buccal membrane) when its Tb exceeded the panting threshold, and increases in metabolism with increasing Tb tracked pre-panting Q10 metabolism estimates (Fig. 3). The gular flutter observed in A. exsanguis was distinct from the panting observed in other species as an evaporative cooling mechanism. With panting, lizards typically increase breathing frequency and decrease breathing depth to rapidly ventilate the upper airways; during gular flutter, air is being rapidly moved over the interior of the buccal membranes, with relatively little movement of air in the upper respiratory passages. For A. exsanguis, the gular flutter we observed did not produce EHL at rates sufficient to provide cooling of the body, but may have served to provide cooling for the brain (Tattersall et al., 2006).

Water balance and climate change

While we have shown that many lizards have a significant capacity for evaporative cooling and Tb depression, water deficits accrued while panting can rapidly account for a significant portion of a lizard's daily water budget. We found that lizards lost anywhere from 70 mg H2O h−1, or 2% Mb h−1 in the smallest species (U. stansburiana, mean Mb=3.4 g) to >1500 mg H2O h−1, or 1.3% Mb h−1 in the largest (S. ater, mean Mb=114 g) while panting at their upper heat tolerance limits (Table 1). While larger-bodied species evaporated substantially greater amounts of water while panting, the overall depletion relative to their water budget was lower when compared with that of small-bodied species. The higher rates of EWL for small-bodied species have important consequences for modulating activity times available to individuals, as higher rates of heat and water flux constrain thermoregulatory opportunities when different-sized individuals are placed in similar thermal conditions (Loughran, 2014; Sears et al., 2016). For instance, when Kearney et al. (2020) modeled thermoregulatory behavior of different-sized lizards under the same thermal conditions, they found that a 10 g lizard had to shuttle between microclimates 5 times more frequently than a 1000 g lizard under the same thermal conditions to maintain heat balance. In the context of evaporative cooling, because small-bodied lizards lose water at significantly higher rates than large-bodied lizards, it is costlier to employ panting as a thermoregulatory mechanism, which may lead smaller individuals to favor thermoregulatory shuttling over evaporative cooling. These high rates of water loss across the species' size range suggests that if lizards use panting to modulate their activity periods when exposed to high environmental heat loads they must primarily acquire prey to replace water lost via panting, i.e. they must forage for water.

One of the consequences that climate warming is predicted to have on lizards is the reduction in available activity hours, which are necessary for foraging, breeding and territory defense (Sinervo, et al., 2010). Might species that can effectively depress Tb via panting use panting as a strategy to increase activity periods to counter higher environmental temperatures? We have seen that, especially in smaller species, panting rapidly produces large water deficits that have to be made up. There is some evidence that predators increase pressure on prey to increase water intake (reviewed in McCluney et al., 2012). However, continued drying of the southwest deserts in the coming decades will result in reduced plant and insect biomass, which may in turn result in decreases in lizard population abundance (Archer and Predick, 2008; Flesch et al., 2017). Consequently, evaporative cooling via panting may not be a viable thermoregulatory option for lizards in arid lowland deserts, as increased rates of water loss may be difficult to recover. Nevertheless, panting may confer an advantage for species in higher elevation habitats, where thermal conditions may be more conducive to greater heat dissipation and higher prey capture rates than in low elevation habitats (Chamaillé-Jammes et al., 2006). Furthermore, because rapid upward shifts in elevation have been documented in species distributions, species that are adept at panting may be poised to outcompete species that do not pant as their distributions shift upward (Chen et al., 2011; Wiens et al., 2019; Loughran and Wolf, 2020). Whether extending activity periods via panting might provide a growth or survival benefit is an open question and data on the frequency of panting by lizards in the wild are sparse. This study provides insight into the costs and benefits of evaporative cooling and the potential for physiological thermoregulation to partially release constraints on activity imposed by a rapidly warming world.

We thank Chris G. Anderson, Lauren M. Bansbach, Bruce L. Christman and J. Tom Giermakowski for invaluable assistance in locating and capturing lizards in the field, and Chris R. Tracy for providing the chuckwallas. We thank Denis V. Andrade and one anonymous reviewer for constructive comments that helped to improve the manuscript.

Author contributions

Conceptualization: C.L.L., B.O.W.; Methodology: C.L.L., B.O.W.; Formal analysis: C.L.L.; Investigation: C.L.L.; Resources: B.O.W.; Data curation: C.L.L.; Writing - original draft: C.L.L.; Writing - review & editing: C.L.L., B.O.W.; Visualization: C.L.L.; Supervision: B.O.W.; Funding acquisition: C.L.L., B.O.W.

Funding

Funding to C.L.L. was provided by the University of New Mexico BGSA Research Allocations Committee, the University of New Mexico GPSA Student Research Grant and New Mexico Research Grant, the Melinda Bealmer Memorial Scholarship, and the Alvin R. and Caroline G. Grove Summer Research Scholarship. This work was also supported by National Science Foundation grant DEB 1457524 to B.O.W. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Data availability

Data are available from the Dryad digital repository (Loughran and Wolf, 2022): https://doi.org/10.5061/dryad.51c59zw69.

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Competing interests

The authors declare no competing or financial interests.

Supplementary information