The white whale Delphinapterus leucas is an exceptional diver, yet we know little about the physiology that enables this species to make prolonged dives. We studied trained white whales with the specific goal of assessing their diving and swimming performance. Two adult whales performed dives to a test platform suspended at depths of 5–300 m. Behavior was monitored for 457 dives with durations of 2.2–13.3 min. Descent rates were generally less than 2 m s−1 and ascent rates averaged 2.2–3 m s−1. Post-dive plasma lactate concentration increased to as much as 3.4 mmol l−1 (4–5 times the resting level) after dives of 11 min. Mixed venous measured during voluntary breath-holds decreased from 79 to 20 mmHg within 10 min; however, maximum breath-hold duration was 17 min. Swimming performance was examined by training the whales to follow a boat at speeds of 1.4–4.2 m s−1. Respiratory rates ranged from 1.6 breaths min−1 at rest to 5.5 breaths min−1 during exercise and decreased with increasing swim speed. Post-exercise plasma lactate level increased to 1.8 mmol l−1 (2–3 times the resting level) following 10 min exercise sessions at swimming speeds of 2.5–2.8 m s−1. The results of this study are consistent with the calculated aerobic dive limit (O2 store/metabolic rate) of 9–10 min. In addition, white whales are not well adapted for high-speed swimming compared with other small cetaceans.

White whales Delphinapterus leucas are exceptional divers compared with other small odontocete whales. They routinely dive to depths exceeding 200 m (maximum 647 m, trained dive) and stay submerged for up to 18.3 min (average 12.9 min) (Martin et al. 1993; Ridgway et al. 1984). However, our understanding of the physiology enabling these dives is limited, a fact generally true for most cetaceans. A large blood volume, a high hemoglobin level and a high hematocrit give these whales a large blood oxygen-carrying capacity (Ridgway et al. 1984), which is a major adaptation to prolong submergence times (Hedrick and Duffield, 1991; Kooyman, 1989; Lenfant, 1969; Ridgway and Johnston, 1966). Despite the blood volume and hematological studies, no other physiological characteristics have been reported for diving white whales.

Although the acquisition of behavioral and physiological data from wild cetaceans is especially difficult, trained animals can provide unique opportunities to make physiological measurements (Fish, 1993; Lang, 1975; Lang and Norris, 1966; Ridgway et al. 1969, 1984; Ridgway and Howard, 1979; Shaffer et al. 1995; Williams et al. 1992, 1993a). In the present study, a similar approach was adopted. Trained white whales swimming freely in the open sea were used to examine exercise and dive performance.

Although white whales have a fusiform body shape, they are quite robust and probably adapted for agility rather than speed (Brodie, 1989). Observations of migrating whales in the Canadian high Arctic indicate that white whales travel at fairly modest speeds of 2–4 km h−1 (0.6–1.1 m s−1) (Martin et al. 1993). This swimming speed is remarkably slow compared with that of other small cetaceans that have been observed traveling at speeds as fast as 32 km h−1 (8.9 m s−1) (Lang, 1975; Ridgway and Johnston, 1966; Würsig and Würsig, 1979). For comparison, Williams et al. (1992) determined that 7.6 km h−1 (2.1 m s−1) was an energetically economical speed for bottlenose dolphins, Tursiops truncatus, and that faster speeds could be achieved if the animals began wave-riding. At present, evaluations of swimming performance by unrestrained bottlenose dolphins provide the only experimental assessment of swimming cetaceans.

The primary goal of this study was to assess the aerobic diving capability of white whales by examining dive behavior, respiratory rate and the onset of lactic acid accumulation in the blood of whales performing voluntary dives. Subsequently, in a second experiment, measurements of blood gas levels, pH, hematocrit and the production of lactic acid were made during periods of apnea in non-exercising, sedentary whales. Lastly, the hypothesis that white whales are not adapted for high-speed travel at the surface was tested by observing changes in swimming behavior, respiratory patterns and lactic acid accumulation during exercise sessions in which the whales were trained to follow a moving boat. These experiments indicate that white whales are well adapted to repetitive deep diving, but are limited to slow surface swimming relative to other small cetaceans.

The performance of trained white whales was assessed during swimming and diving trials. The whales were trained over a period of 2 years using standard operant conditioning techniques; however, both whales had previous open ocean diving experience in an earlier study (Ridgway et al. 1984). The sex, age, mass and morphometrics of the study animals are given in Table 1. The whales were fed 2–4 times per day on a diet of herring, mackerel, smelt and capelin supplemented with vitamins. Each whale was housed in a separate floating pen (12 m×12 m×6 m deep). Experimental sessions were conducted 1–2 km offshore from San Clemente Island, California, where the mean sea surface temperature during the trials was 20.2±1.1°C. Resting respiratory rates were measured while the animals were held in the holding pens.

Table 1.

Sex, estimated age, body morphometrics, and fineness ratio of the white whales used in this study

Sex, estimated age, body morphometrics, and fineness ratio of the white whales used in this study
Sex, estimated age, body morphometrics, and fineness ratio of the white whales used in this study

Diving performance

During diving sessions, the whales made repetitive dives to a test platform that was suspended from a boat floating passively on the surface (Ridgway et al. 1997). The test platform was lowered to targeted depths of 5, 10, 50, 100, 200 and 300 m as determined by an echo sounder (model FCV-561, Furuno, Inc.) or time/depth recorder (Mk 3e, Wildlife Computers, Inc.). To monitor the whales’ arrival and departure from the platform, lights and a video camera (Deep Sea Power and Light, Inc.) were attached to the suspension cable just above the platform. Descent and ascent rates were determined by timing the duration of the whale’s travel between the platform and the surface. On many trials, times and depths were verified using time/depth recorders (TDR) in removable fabric pouches attached to the whale’s flippers. As whales swam directly to the platform, held their position and then swam directly to the surface, any time not in transit was spent stationing on the platform and varied from 2 to 10 min.

Each experimental session began with a 5–20 min boat follow to the dive site. The whales were given a brief rest period (3–5 min) and then signaled to dive to the submerged test platform. Once on the platform, the whale remained on station for 3–12 min before being given an acoustic signal to return to the boat. At the surface, the whale was rewarded with fish and given a post-dive surface interval (PDSI) of roughly half the previous dive time (DT). On five occasions, blood samples were obtained after a single dive or after the first dive in a series. All other experimental sessions consisted of 2–6 repetitive dives of varying duration but constant depth (Fig. 1) followed by sequential blood sampling 3–8 min after the last dive in a session. The whales’ post-dive respiratory rate was determined by counting breaths during each PDSI. Generally, two sessions were conducted each day with 2–3 h between trials.

Fig. 1.

Diving bout of white whales trained to dive to a stationary platform (i.e. bottom portion of dive). Dive time (DT) and post-dive surface interval (PDSI) were recorded for each sequence and their ratio (DT/PDSI) determined. The mean of all DT/PDSI ratios for the entire bout was determined and compared with changes in respiratory rate and blood chemistry.

Fig. 1.

Diving bout of white whales trained to dive to a stationary platform (i.e. bottom portion of dive). Dive time (DT) and post-dive surface interval (PDSI) were recorded for each sequence and their ratio (DT/PDSI) determined. The mean of all DT/PDSI ratios for the entire bout was determined and compared with changes in respiratory rate and blood chemistry.

Although it would have been beneficial to have monitored blood chemistry before and after each dive, this was not possible. Such frequent blood sampling would have required indwelling catheters, which would be difficult to maintain on the flukes or peduncle of a freely swimming and diving cetacean. Without catheterization, the frequency of venipuncture would have been too great to maintain voluntary behavior patterns. Furthermore, this study was conducted in concert with a larger study that examined the hearing and echolocating ability of the whales at depth (Ridgway et al. 1997). Consequently, the number of dives in a bout, dive duration and dive depth were determined by the requirements of the psychoacoustics study.

Sedentary breath-hold capability

In a parallel study, the whales’ breath-hold capabilities were determined by examining the physiological effects of apnea while minimizing the influence of physical activity. Each whale was trained to hold its breath voluntarily while resting on a submerged platform. Concurrently, the whale was positioned ventral side up to facilitate blood sampling from its flukes while keeping its blowhole submerged. Sequential blood samples were collected at 1–2 min intervals to monitor changes in pH, hematocrit (Hct) and plasma lactate and glucose concentrations.

Swimming performance

Each whale was trained to maintain its swimming speed by following an inflatable boat travelling at 1.4–4.2 m s−1 for durations of 5–20 min. A global positioning system (GPS, Commander model, Magellan, Inc.) was used to monitor boat speed (held constant during each trial) and to provide GPS coordinates accurate to within ±10 m. The distance of the swimming effort was calculated from the initial and final GPS coordinates using PLGRGRID software (Naval Research and Development laboratory, San Diego, CA, USA). Total travel time was recorded with a stopwatch, and observers determined mean respiratory rate by counting breaths during the timed exercise period. In addition, post-exercise blood samples were obtained following selected 10 min swimming trials.

Blood collection and analyses

Each whale was trained to present its flukes voluntarily for collection of blood samples. To obtain a sample, a 19 gauge butterfly catheter was placed in a vessel on the ventral side of the peduncle or the ventral surface of the flukes (Ridgway et al. 1984). Blood was collected into 10 ml sodium heparin vacutainers (Becton Dickinson), between 2 and 6 min post-exercise or 3–8 min post-dive, and stored on ice until centrifuged. All blood samples were assumed to be a mixture of venous and arterial blood. Samples were processed 30–90 min after collection by centrifugation at 1000 g for 10 min at ambient temperatures. Plasma was frozen at -80°C until analyzed within 2 weeks of collection. Values for total lactate and glucose concentrations were obtained and compared with those of baseline samples acquired during fasting, non-exercise periods. Lactate and glucose assays were performed on a YSI 2300 STAT lactate/glucose analyzer (Yellow Springs Instruments Co.) calibrated daily with lactate (range 0–15.0 mmol l−1) and glucose (range 0–25.0 mmol l−1) standards. The stability of lactate and glucose in stored samples was tested by analyzing a set of baseline samples on the day of collection, and then every subsequent week for 1 month, freezing the samples between assays. No significant changes were observed. Similarly, human plasma has been stored for up to 90 days at -10°C with no significant change in total lactate concentration (Buono, 1986).

Samples collected for blood gas measurements were drawn into 3 ml heparinized syringes (A-line kits, Becton Dickinson) and measured with a portable blood gas analyzer (i-STAT thermal control model, Signal Devices, Inc.). This instrument required only three drops of whole blood, placed into special cartridges (G3+ i-STAT cartridges, Signal Devices, Inc.) to measure and pH. Because the cartridges contained calibrating buffers, instrument calibration was checked before each sample was analyzed, and blood gas levels and pH were determined within 90 s. This portable unit was tested simultaneously against a standard bench-top blood gas analyzer (158 pH/blood gas analyzer, Corning) using whole blood from a bottlenose dolphin and a northern elephant seal Mirounga angustirostris; no significant differences were observed in blood gas levels or pH.

Data analyses

Within each diving bout, the ratio of dive time (DT) to post-dive surface interval (PDSI) was calculated for each dive sequence in a series (Fig. 1). The mean of all the ratios (i.e. mean DT/PDSI) in a bout was then compared with blood chemistry and respiratory rate.

Data analyses were performed using statistical software (Jandel Scientific, Inc.) with the probability of a type I error set at P<0.05. Means were compared using Student’s t-tests, and regressions were performed using the method of least squares. Exponential functions were used to describe the relationships between swimming speed and depth because statistically they provided the best-fitting line and intuitively the rate of change should decrease as an animal reaches its maximum cost of transport speed (COT). All means are presented with ± 1 standard error (S.E.M.) unless designated otherwise.

Diving performance

In total, 457 dives were recorded during this study. The female whale completed the deepest (maximum 300 m) and longest (maximum 13.3 min) dives, while the male only dived to a maximum platform depth of 128 m for a maximum dive time of 10.9 min (Table 2). After concluding this study, however, the male whale completed dives to a maximum platform depth of 300 m (Ridgway et al. 1997). Swimming speeds differed between the two whales on the descent portion of a dive, with the female swimming faster (Fig. 2A; Table 2). The ascent rates of the whales were indistinguishable over comparable depths and were therefore combined (Fig. 2B). Both relationships, descent rate versus depth (i.e. each whale) and combined ascent rate versus depth, were statistically significant at P<0.05.

Table 2.

Summary statistics of dive durations, descent rates and ascent rates of all recorded dives completed by the white whales in this study

Summary statistics of dive durations, descent rates and ascent rates of all recorded dives completed by the white whales in this study
Summary statistics of dive durations, descent rates and ascent rates of all recorded dives completed by the white whales in this study
Fig. 2.

Descent (A) and ascent (B) rates as a function of dive depth for white whales transiting between the surface and a stationary platform. Each point in A, (◊) male and (○) female, represents the overall descent rate of a single dive, where N=182 for the male and N=271 for the female whale. Data in B are the pooled ascent rates of both whales (N=446 dives).

Fig. 2.

Descent (A) and ascent (B) rates as a function of dive depth for white whales transiting between the surface and a stationary platform. Each point in A, (◊) male and (○) female, represents the overall descent rate of a single dive, where N=182 for the male and N=271 for the female whale. Data in B are the pooled ascent rates of both whales (N=446 dives).

The respiratory frequency of both whales increased concomitantly with increasing dive time (P<0.05 for both, N=213 and N=97 for the female and male whale, respectively). The maximum post-dive respiratory rate was as high as 9.6 breaths min−1, which was six times the normal resting rate of 1.6 breaths min−1.

Associated with the increase in respiratory rate were changes in plasma lactate and glucose concentrations. These changes in lactate concentration were affected by (1) the total dive time and (2) the duration of the PDSI in relation to the DT within a bout of serial diving. Plasma lactate increased to 2–2.4 times resting concentration (0.7±0.2 mmol l−1) following single dives with durations greater than 9 min (P<0.05, t=−3.63, N=11; Fig. 3A). Additionally, plasma lactate levels exhibited a significant increase for DT/PDSI ratios above 1.5, reaching levels as high as 4.5 times resting concentration (P<0.05, N=19, r2=0.591; Fig. 3B). This implies that there is a threshold in lactate production for DT/PDSI ratios between 1.5 and 2 (Fig. 3B). Similarly, both whales exhibited post-dive hyperglycemia, although the response was highly variable and only weakly correlated with mean DT/PDSI for the female whale (P<0.05, N=8, r=0.632). The range of post-dive glucose concentrations for both animals was 5.4–8.0 mmol l−1 compared with baseline concentrations of 6.1–6.5 mmol l−1.

Fig. 3.

Plasma lactate concentration as a function of dive duration for single dives (A) and serial diving (B) (i.e. mean DT/PDSI) in white whales. Blood samples collected at rest (○) were acquired during separate non-exercise periods and compared with post-dive blood samples (•). The dotted lines represent the mean resting lactate concentration (0.7±0.1 mmol l−1, mean ± S.E.M., N=6).

Fig. 3.

Plasma lactate concentration as a function of dive duration for single dives (A) and serial diving (B) (i.e. mean DT/PDSI) in white whales. Blood samples collected at rest (○) were acquired during separate non-exercise periods and compared with post-dive blood samples (•). The dotted lines represent the mean resting lactate concentration (0.7±0.1 mmol l−1, mean ± S.E.M., N=6).

Sedentary breath-hold capability

Each whale made three sedentary breath-hold dives with mean durations of 16.1±0.4 min (maximum 17.0 min) for the female and 14.8±1.5 min (maximum 16.5 min) for the male. The change in blood gas levels and pH were monitored during four of the six breath-hold trials; the responses for each whale were very similar, so the data were combined. The of the blood measured in the first minute of the breath-hold averaged 63.5 mmHg (maximum 79 mmHg) (1 mmHg=0.1333 kPa), which decreased precipitously in the first 8 min to approximately 28 mmHg (Fig. 4). Beyond 10 min, remained fairly constant at 20–23 mmHg until the breath-hold was terminated. These data were fitted with the quadratic equation: (where t is time in min, P<0.05, N=35, r2=0.8). Conversely, increased linearly from 61 to 83 mmHg (P<0.05, N=34, r2=0.501). The pH declined from 7.26 to 7.17 (P<0.05, N=34, r2=0.293). Hematocrit (Hct) did not vary significantly with the duration of breath-hold for either whale (mean Hct was 53.1±0.3 % for the female and 52.1±0.5 % for the male). Each whale exhibited variable changes in plasma lactate concentration during the breath-hold trials. The male exhibited increases of 1.5–2 times the initial lactate concentration of 0.7–0.8 mmol l−1 or no change (Fig. 5B), while the female displayed more variability between trials and only minor changes from initial concentrations within each trial (Fig. 5A). Although initial glucose concentration varied between trials (4.8–6.2 mmol l−1), neither whale exhibited a significant change during the breath-hold period. Post-breath-hold respiratory rates were as high as 7 breaths min−1, but the whales generally resumed rates below 2 breaths min−1 within 5–6 min.

Fig. 4.

Blood gas levels (PO2 and PCO2) and pH measured during breath-holds of resting, sedentary white whales. These data were combined from two trials for each whale (four trials in total). Least-squares regressions were used to fit each line, and changes in all three relationships were statistically significant (P<0.05).

Fig. 4.

Blood gas levels (PO2 and PCO2) and pH measured during breath-holds of resting, sedentary white whales. These data were combined from two trials for each whale (four trials in total). Least-squares regressions were used to fit each line, and changes in all three relationships were statistically significant (P<0.05).

Fig. 5.

Plasma lactate concentration as a function of time spent in apnea during sedentary breath-holds of white whales (A and B are female and male, respectively). In B, three post-breath-hold blood samples were collected following a 10.5 min period of apnea. p.a., post-apnea.

Fig. 5.

Plasma lactate concentration as a function of time spent in apnea during sedentary breath-holds of white whales (A and B are female and male, respectively). In B, three post-breath-hold blood samples were collected following a 10.5 min period of apnea. p.a., post-apnea.

Swimming performance

Together, the whales completed 207 boat-following trips during the study period. Swimming sessions for the male covered an average of 1375±70 m and lasted 10.3±0.4 min, while the female whale covered 1735±51 m which required 12.0±0.4 min. The whales’ position relative to the boat shifted forwards at speeds below 2 m s−1 and slightly backwards at speeds greater than 2.5 m s−1, with the majority of swimming occurring at a depth of 1–2 m below the surface. Speeds faster than 3.1 m s−1 resulted in a noticeable decrease in swimming effort by the female whale because a sizeable stern wake was created by the boat which enabled the whale to ‘surf’ behind it. This adjustment in swimming behavior appeared to be beneficial because stroke frequency declined noticeably, although the foam and spray created by the wake made it difficult to quantify. The male whale refused to follow the boat at speeds greater than 3.1 m s−1.

Both respiratory rate and blood chemistry changed in relation to swimming speed at the water surface. Breathing rate increased to a maximum of 5.5 breaths min−1 when swimming speed reached 1.7–1.9 m s−1. For trials conducted at swimming speeds greater than 1.9 m s−1, mean respiratory rate decreased with subsequent increases in swimming speed (Fig. 6). Surprisingly, the lowest exercising respiratory rate (2.1 breaths min−1, female) was observed during the fastest swimming trial (4.2 m s−1). This low respiratory rate was probably due to a reduction in effort as a result of wake-riding, which was observed only in this animal at this speed.

Fig. 6.

Respiratory rate in relation to swimming speed for white whales trained to follow a moving boat. Boat speed was held constant for each trial, and the number of experimental sessions conducted at each speed is given except for single events. Each point represents a combined mean (± S.E.M.) for both whales.

Fig. 6.

Respiratory rate in relation to swimming speed for white whales trained to follow a moving boat. Boat speed was held constant for each trial, and the number of experimental sessions conducted at each speed is given except for single events. Each point represents a combined mean (± S.E.M.) for both whales.

Mean plasma lactate concentration for both whales increased from 0.7±0.2 to 1.8±0.6 mmol l−1 (P<0.05, N=14) after swimming at 2.5–2.8 m s−1 for 10 min. Glucose concentration decreased slightly in both whales, but this decrease was significant only for the male (P<0.05, N=7). The male’s post-exercise glucose concentration decreased by 15 % of the resting concentration (6.1 mmol l−1), while that of the female whale decreased by only 5 % below the resting concentration (6.5 mmol l−1).

Aerobic dive limits and diving performance of white whales

The aerobic component of diving metabolism is thought to be the major determinant of diving ability (Kooyman, 1989; Ponganis et al. 1993). Aerobic dives are constrained by the total oxygen stored in the muscle, blood and lung and by the rate at which it is utilized. The aerobic dive limit (ADL) is experimentally defined as the diving duration beyond which blood lactate levels increase above resting levels (Kooyman, 1985). Although, ADL has been estimated for many diving vertebrates (Kooyman, 1989; Boyd and Croxall, 1996), it has been determined experimentally in only two species of pinniped. The ADL of Weddell seals, Leptonychotes weddelli, was measured as 18–20 min (Kooyman et al. 1980, 1983; Guppy et al. 1986) and that of the California sea lion Zalophus californianus was 2.3 min (Ponganis et al. 1997). In the present study, we determined an ADL of 9–10 min for white whales (Fig. 3A). These are the first empirically determined measurements of ADL for a cetacean.

The duration of dives that produced lactate can be compared with estimates of the white whales’ ADL based on measurements of oxygen stores and estimates of metabolic rates. Calculated on a mass-specific basis, the oxygen store of a white whale is 51 ml O2 kg−1 (Table 3). This value is high compared with that of short-duration divers such as the bottlenose dolphin (32.7 ml O2 kg−1; Williams et al. 1993b) and California sea lion (38.1 ml O2 kg−1; Feldkamp et al. 1989), but intermediate to that of prolonged-duration divers such as harbor seals Phoca vitulina (56.8 ml O2 kg−1; Davis et al. 1991) and Weddell seals (86.2 ml O2 kg−1; Ponganis et al. 1993). Although metabolic rates were not directly measured, estimates were derived from the minimum COT of marine mammals (Williams, 1997). Since COT is the metabolic cost of locomotion per unit distance, it is possible to solve for metabolic rate on the basis of a range of travel speeds commonly used. Assuming that dives are performed at minimum COT speeds (Thompson et al. 1993), swimming metabolic rate (SwMR) would be 5.1–6.3 ml O2 kg−1 min−1 for white whales swimming at average speeds of 1.6–2.0 m s−1. This SwMR is approximately 3–4 times the predicted basal metabolic rate (BMR) of a 1000 kg animal (Kleiber, 1975) and only slightly greater than the SwMRs of 1.3 times BMR for harbor seals or 2–3 times BMR for bottlenose dolphins swimming at minimum COT speeds (Davis et al. 1985; Williams et al. 1993a).

Table 3.

Estimated oxygen storage capacity of a white whale based on a body mass of 1000 kg (modified from Feldkamp et al. 1989)

Estimated oxygen storage capacity of a white whale based on a body mass of 1000 kg (modified from Feldkamp et al. 1989)
Estimated oxygen storage capacity of a white whale based on a body mass of 1000 kg (modified from Feldkamp et al. 1989)

On the basis of the above estimates of oxygen stores and metabolic rate, we calculate a theoretical ADL of 8–10 min for white whales swimming continuously at speeds of 1.6–2.0 m s−1; a value remarkably consistent with the elevated lactate levels observed in dives longer than 9–10 min. It is interesting that both our blood lactate measurements and theoretical ADL are lower than the 8.7–18.3 min (mean 12.9 min) dives reported for white whales in the Arctic (Martin et al. 1993). Several factors could explain the discrepancy between our data and those of the Arctic animals. First, our whales made serial dives with significantly shorter surface intervals (3–5 min) than those measured for whales in the Arctic (mean 6.5 min; Martin et al. 1993). Second, our whales were not feeding or traveling as whales in the Arctic would. Instead, our whales swam directly to a platform, remained there and then returned to the surface. Third, the descent and ascent rates of our whales were considerably faster (0.5–3.8 m s−1 descent rate and 0.5–4.3 m s−1 ascent rate; Fig. 2; Table 2) than those reported for whales diving in the high Arctic (1.4–2.2 and 1.2–1.8 m s−1, respectively; Martin et al. 1993). Faster swimming speeds will increase O2 consumption, leading to lower ADLs. Further, the white whales in the Arctic utilize a range of speeds (1.2–2.2 m s−1; Martin et al. 1993) that may be adjusted to match the effort on a ‘planned’ dive (Kooyman, 1985), and they also probably use burst-and-glide locomotion. Video footage of entire diving sequences of a northern elephant seal and bottlenose dolphin reveal that burst-and-glide swimming is used extensively during diving (Williams et al. 1996). This mode of swimming could potentially reduce the animals’ effort and thus prolong the duration of aerobic metabolism during a dive. Moreover, mean dive duration may not be completely representative of aerobic dives because a mean considers all dives and hence may be skewed in favor of long durations. Finally, if our data are representative, one would be left to conclude that white whales in the wild include some component of anaerobic metabolism during diving. A mixed strategy of both anaerobic and aerobic dives has been suggested for northern fur seals (Ponganis et al. 1992). Therefore, it is conceivable that white whales dive in a similar manner.

A value consistent with elevated lactate levels after 10 min comes from our measurements of blood gas and lactate concentrations during sedentary apneas (Figs 4, 5). For both animals, blood decreased to minimum levels (20–23 mmHg) by 10 min. On the basis of the low initial pH levels, the samples probably consisted of mixed venous blood; however, the dramatic decline in blood is indicative of declining blood oxygen stores. Furthermore, in at least one animal in which lactate level was measured following a 10.5 min apnea, the ADL was surpassed, as is evident from the increased lactate concentration (3.3 mmol l−1, which was 2–3 times the resting value; Fig. 5B). Lastly, the maximum breath-hold durations achieved under voluntary conditions for both animals were 16.5–17.0 min, values that are remarkably similar to the maximum dive duration of 18.3 min reported for Arctic whales (Martin et al. 1993).

Serial dives with durations within the ADL do not generally have a significant effect on blood chemistry (Castellini et al. 1988). When mean DT/PDSI is low, i.e. when surface interval time is nearly equal to or greater than the preceding dive time, lactate that is produced could be completely metabolized before diving resumes. As the DT/PDSI ratio increases, a greater proportion of time is spent under water per surface interval. On a dive that surpasses the ADL, lactate production may exceed its turnover rate; hence, its conversion back to glucose or oxidation as a substrate could remain incomplete at the start of a subsequent dive. If no further lactate is metabolized during a subsequent dive, then residual lactate will carry over into the next surface interval. Continuing in this manner, lactate concentrations are likely to increase exponentially over a series of dives with a high DT/PDSI ratio. Eventually, the diver fatigues and must spend time at the surface in order to increase its oxygen intake to metabolize the lactate load.

The observed curvilinear relationship between swimming speed and dive depth (Fig. 2) is perhaps quite important in understanding the whales’ diving behavior. On dives shallower than 30 m, water clarity permitted observation of the whales’ swimming behavior from the surface. In most cases, the whales appeared to glide slowly down to the platform with little stroking effort. Conversely, the whales vigorously stroked out of view on deeper dives. Overall, the fastest descent rate was just above 3 m s−1, which was very similar to that previously observed by Ridgway et al. (1984), but most dives to 100 m or deeper averaged 1.2–2.2 m s−1. The observation that slower swimming speeds were used during descent suggests that the whales are conserving oxygen at the beginning of the dive. This is also inferred from the markedly faster ascent rates which the whales used when returning to the surface (Fig. 2B). If 2.4–3.0 m s−1 (mean ascent rates, Table 2) were the minimum COT speed, one would expect the whales to use these speeds routinely while diving to maximize bottom time. In fact, descent and ascent rates of 1.6–1.8 m s−1 are more commonly used by Arctic white whales (Martin et al. 1993).

In comparing the mean dive durations and the descent rates for all dives, it would appear that the whales chose to swim at speeds of 2 m s−1 or less to prolong the ADL. There were dives, however, that apparently challenged the ADL as the whales’ blood lactate levels were 2–3 times the resting values in many of the diving sessions (Fig. 3). These increased blood lactate concentrations may result from individual dives exceeding the aerobic dive limit and/or to the short surface intervals, which could have precluded complete reoxygenation and incomplete metabolism of lactate between sequential dives. The voluntary breath-hold experiments also reconfirm the observation of Scholander et al. (1942) that lactate is sequestered during a dive and then released into the general circulation after breathing has resumed.

Post-dive hyperglycemia was observed during recovery on some dives; however, responses varied between sessions. Therefore, some cycling between lactate and glucose probably occurred during diving. Hyperglycemia has been observed in the post-dive recovery of other species (Davis, 1983; Kooyman et al. 1980; Robin et al. 1981). In contrast, a different response was observed during recovery from exercise. The whales exhibited either a decreasing or a stable plasma glucose concentration, which is more similar to responses measured during post-exercise recovery in humans and dogs (MacRae et al. 1995; Issekutz et al. 1976).

Swimming performance and the effects of hydrodynamics on respiratory patterns

The results of this study suggest that white whales, in comparison with other dolphins and porpoises (Ridgway and Johnston, 1966; Williams et al. 1992, 1993a), are not well adapted for sustained high-speed travel at the water’s surface. In the present study, we obtained mean travel speeds more than double those commonly used by Arctic white whales (2–4 km h−1 or 0.6–1.1 m s−1; Martin et al. 1993) and observed a two-to threefold increase in lactate concentration (0.7 mmol l−1 at rest and 2.3 mmol l−1 post-exercise) as well as a substantial effect on respiratory rate (Fig. 6). Animals can minimize locomotor costs by swimming at a depth (greater than 3 body diameters) that avoids the creation of a surface wave (Hertel, 1966). If the whales reduced the number of excursions to the surface to avoid surface waves when swimming speeds are high, breathing rate would subsequently decline during a period when muscular demand is greatest, thus creating an aerobic deficit. As a result, the whales would have to compensate by utilizing anaerobic glycolysis to facilitate muscle metabolism, which would produce a lactate burden and, further, cause fatigue.

Increasing locomotor effort generally elicits a concomitant increase in the breathing rate of exercising mammals (Taylor et al. 1987). Terrestrial animals show unique coupling between respiratory patterns and locomotor movements (Baudinette, 1991; Carrier, 1987). Marine mammals face a different set of challenges because they live in a fluid medium that influences both the timing of breathing and locomotor movements. Coupling between locomotor strokes and breathing was not observed in exercising whales, as they swam 1–2 m (i.e. 2–3 body diameters; Table 1) below the surface. As locomotor speed increased, the whales remained submerged longer, causing a decrease in respiratory rate (Fig. 6). Consequently, the respiratory patterns of these mammals appear to be linked to surface/submergence patterns rather than to locomotor movements per se.

In summary, serial diving in marine mammals is likely to involve strategies that maximize underwater time by minimizing the number of dives that exceed the ADL. This strategy requires optimizing speed without increasing oxygen consumption. White whales achieve this by swimming at speeds of 2 m s−1 or less when diving and by utilizing slower speeds or swimming well below the surface when transiting between locations.

We are indebted to M. Beeler, T. Kamolnick, M. Todd, M. Chaplin and J. Ross of SAIC for the training and husbandry of the whales as well as Drs E. Jensen, W. Van Bonn and G. Miller for providing veterinary care and consultation. We thank D. Carder, J. Barnes, C. Curry, F. Borkat, P. Moore and R. Brill, of NRaD, San Diego, for logistical and technical support at San Clemente Island and San Diego. Additional logistical support and equipment were provided by G. L. Kooyman and L. Starke. We thank S. Noren and D. Houser for providing assistance with the breath-hold experiments. The manuscript was greatly improved by the comments of the P. Ponganis, an anonymous reviewer, the Williams and Costa laboratory groups and K. Shaffer. Funding was provided by grants from the Office of Naval Research N00014-94-1-1013 and the National Science Foundation OPP-9500072 to D.P.C. All research was conducted with the approval of the Chancellor’s Animal Research Committee (UCSC) and the Institutional Animal Care and Use Committee (NRaD).

Baudinette
,
R. V.
(
1991
).
The energetics and cardiorespiratory correlates of mammalian terrestrial locomotion
.
J. exp. Biol
.
160
,
209
231
.
Boyd
,
I. L.
and
Croxall
,
J. P.
(
1996
).
Dive durations in pinnipeds and seabirds
.
Can. J. Zool
.
74
,
1696
1705
.
Brodie
,
P. F.
(
1989
).
The White Whale, Delphinapterus leucas
.
In The Handbook of Marine Mammals
, vol.
4
(ed.
S. H.
Ridgway
and
R. J.
Harrison
), pp.
119
144
.
New York
:
Academic Press
.
Buono
,
M. J.
(
1986
).
Freezing provides a viable method for the prolonged, stable storage of blood lactate
.
Can. J. appl. Sport Sci
.
11
,
80
81
.
Carrier
,
D. R.
(
1987
).
The evolution of locomotor stamina in tetrapods: circumventing a mechanical constraint
.
Paleobiology
13
,
326
341
.
Castellini
,
M. A.
,
Davis
,
R. W.
and
Kooyman
,
G. L.
(
1988
).
Blood chemistry regulation during repetitive diving in Weddell seals
.
Physiol. Zool
.
61
,
379
386
.
Davis
,
R. W.
(
1983
).
Lactate and glucose metabolism in the resting and diving harbor seal (Phoca vitulina)
.
J. comp. Physiol. B
153
,
275
288
.
Davis
,
R. W.
,
Castellini
,
M. A.
,
Williams
,
T. M.
and
Kooyman
,
G. L.
(
1991
).
Fuel homeostasis in the harbor seal during submerged swimming
.
J. comp. Physiol. B
160
,
627
635
.
Davis
,
R. W.
,
Williams
,
T. M.
and
Kooyman
,
G. L.
(
1985
).
Swimming metabolism of yearling and adult harbor seals Phoca vitulina
.
Physiol. Zool
.
58
,
590
596
.
Feldkamp
,
S. D.
,
Delong
,
R. L.
and
Antonelis
,
G. A.
(
1989
).
Diving patterns of California sea lions, Zalophus californianus
.
Can. J. Zool
.
67
,
872
883
.
Fish
,
F. E.
(
1993
).
Power output and propulsive efficiency of swimming bottlenose dolphins (Tursiops truncatus)
.
J. exp. Biol
.
185
,
179
193
.
Goforth
,
H. W.
, Jr
(
1986
).
Glycogenolytic responses and force production characteristics of a bottlenose dolphin (Tursiops truncatus), while exercising against a force transducer
.
PhD thesis
,
University of California, Los Angeles
.
137
pp.
Guppy
,
M.
,
Hill
,
R. D.
,
Schneider
,
R. C.
,
Qvist
,
J.
,
Liggins
,
G. C.
,
Zapol
,
W. M.
and
Hochachka
,
P. W.
(
1986
).
Microcomputer-assisted metabolic studies of voluntary diving of Weddell seals
.
Am. J. Physiol
.
250
,
R175
R187
.
Hedrick
,
M. S.
and
Duffield
,
D. A.
(
1991
).
Haematological and rheological characteristics of blood in seven marine mammal species: physiological implications for diving behaviour
.
J. Zool., Lond
.
225
,
273
283
.
Hertel
,
H.
(
1966
).
Structure, Form, Movement
.
New York
:
Reinhold Publishing Corporation
.
Issekutz
,
B.
, Jr
,
Shaw
,
W. A. S.
and
Issekutz
,
A. C.
(
1976
).
Lactate metabolism in resting and exercising dogs
.
J. appl. Physiol
.
40
,
312
319
.
Kleiber
,
M.
(
1975
).
The Fire of Life: An Introduction to Animal Energetics
.
Huntington
:
R. E. Krieger Publishing Co
.
453
pp.
Kooyman
,
G. L.
(
1973
).
Respiratory adaptations in marine mammals
.
Am. Zool
.
13
,
457
468
.
Kooyman
,
G. L.
(
1985
).
Physiology without restraint in diving mammals
.
Mar. Mammal Sci
.
1
,
166
178
.
Kooyman
,
G. L.
(
1989
).
Diverse Divers: Physiology and Behavior
(ed.
K.
Johansen
and
D. S.
Farner
).
Berlin
:
Springer-Verlag
.
200
pp.
Kooyman
,
G. L.
,
Castellini
,
M. A.
,
Davis
,
R. W.
and
Maue
,
R. A.
(
1983
).
Aerobic diving limits of immature Weddell seals
.
J. comp. Physiol. B
151
,
171
174
.
Kooyman
,
G. L.
,
Wahrenbrock
,
E. A.
,
Castellini
,
M. A.
,
Davis
,
R. W.
and
Sinnett
,
E. E.
(
1980
).
Aerobic and anaerobic metabolism during voluntary diving in Weddell seals: Evidence of preferred pathways from blood chemistry and behavior
.
J. comp. Physiol. B
138
,
335
346
.
Lang
,
T. G.
(
1975
).
Speed, power and drag measurements of dolphins and porpoises
.
In Swimming and Flying in Nature
, vol.
2
(ed.
T. Y. T.
Wu
,
C. J.
Brokaw
and
C.
Brennen
), pp.
553
572
.
New York
:
Plenum Press
.
Lang
,
T. G.
and
Norris
,
K. S.
(
1966
).
Swimming speed of a Pacific bottlenose porpoise
.
Science
151
,
588
590
.
Lenfant
,
C.
(
1969
).
Physiological properties of blood of marine mammals
.
In The Biology of Marine Mammals
(ed.
H. T.
Andersen
), pp.
95
116
.
New York
:
Academic Press
.
Lenfant
,
C.
,
Johansen
,
K.
and
Torrance
,
J. D.
(
1970
).
Gas transport and oxygen storage capacity in some pinnipeds and the Sea Otter
.
Respir. Physiol
.
9
,
277
286
.
Macrae
,
H. H. S.
,
Noakes
,
T. D.
and
Dennis
,
S. C.
(
1995
).
Effects of endurance training on lactate removal by oxidation and gluconeogenesis during exercise
.
Eur. J. Physiol
.
430
,
964
970
.
Martin
,
A. R.
,
Smith
,
T. G.
and
Cox
,
O. P.
(
1993
).
Studying the behaviour and movements of high Arctic belugas with satellite telemetry
.
In Marine Mammals: Advances In Behavioural And Population Biology
, vol.
66
(ed.
I. L.
Boyd
), pp.
195
210
.
Oxford
:
Clarendon Press
.
Noren
,
S. R.
(
1997
).
Oxygen stores and acid buffering capacities of cetacean skeletal muscle: A hierarchy for maximum dive duration
.
Masters thesis
,
University of California, Santa Cruz
.
70
pp.
Ponganis
,
P. J.
,
Gentry
,
R. L.
,
Ponganis
,
E. P.
and
Ponganis
,
K. V.
(
1992
).
Analysis of swim velocities during deep and shallow dives of two northern fur seals, Callorhinus ursinus
.
Mar. Mammal Sci
.
8
,
69
75
.
Ponganis
,
P. J.
,
Kooyman
,
M. A.
and
Castellini
,
M. A.
(
1993
).
Determinants of the aerobic dive limits of Weddell seals: analysis of diving metabolic rates, postdive end tidal ’s and blood and muscle oxygen stores
.
Physiol. Zool
.
66
,
732
749
.
Ponganis
,
P. J.
,
Kooyman
,
G. L.
,
Winter
,
L. M.
and
Starke
,
L. N.
(
1997
).
Heart rate and plasma lactate responses during submerged swimming and trained diving in California sea lions, Zalophus californianus
.
J. comp. Physiol. B
167
,
9
16
.
Ridgway
,
S. H.
,
Bowers
,
C. A.
,
Miller
,
D.
,
Schultz
,
M. L.
,
Jacobs
,
C. A.
and
Dooley
,
C. A.
(
1984
).
Diving and blood oxygen in the white whale
.
Can. J. Zool
.
62
,
2349
2351
.
Ridgway
,
S. H.
,
Carder
,
D.
,
Smith
,
R.
,
Kamolnick
,
T.
and
Elsberry
,
W.
(
1997
).
First audiogram for marine mammals in the open sea: hearing and whistling by two white whales down to 30 atmospheres
.
J. acoust. Soc. Am
.
101
,
3136
.
Ridgway
,
S. H.
and
Howard
,
R.
(
1979
).
Dolphin lung collapse and intramuscular circulation during free diving: Evidence from nitrogen washout
.
Science
206
,
1182
1183
.
Ridgway
,
S. H.
and
Johnston
,
D. G.
(
1966
).
Blood oxygen and ecology of porpoises of three genera
.
Science
151
,
456
458
.
Ridgway
,
S. H.
,
Scronce
,
B. L.
and
Kanwisher
,
J.
(
1969
).
Respiration and deep diving in the Bottlenose Porpoise
.
Science
166
,
1651
1654
.
Robin
,
E. D.
,
Ensinck
,
J.
,
Hance
,
A. J.
,
Newman
,
A.
,
Lewiston
,
N.
,
Cornell
,
L.
,
Davis
,
R. W.
and
Theodore
,
J.
(
1981
).
Glucoregulation and simulated diving in the harbor seal Phoca vitulina
.
Am. J. Physiol
.
241
,
R293
R300
.
Scholander
,
P. F.
,
Irving
,
L.
and
Grinnell
,
S. W.
(
1942
).
Aerobic and anaerobic changes in seal muscle during diving
.
J. biol. Chem
.
142
,
431
440
.
Shaffer
,
S. A.
,
Williams
,
T. M.
and
Costa
,
D. P.
(
1995
).
Blood plasma lactate and glucose of a freely diving bottlenose dolphin, Tursiops gilli
.
Eleventh Biennial Conference on the Biology of the Marine Mammals
.
December
14
18
,
Orlando, FL
.
Taylor
,
C. R.
,
Weibel
,
E. R.
,
Karas
,
R. H.
and
Hoppeler
,
H.
(
1987
).
Adaptive variation in the mammalian respiratory system in relation to energetic demand. VIII. Structural and functional design principles determining the limits to oxidative metabolism
.
Respir. Physiol
.
69
,
117
127
.
Thompson
,
D.
,
Hiby
,
A. R.
and
Fedak
,
M. A.
(
1993
).
How fast should I swim? Behavioural implications of diving physiology
.
In Marine Mammals: Advances in Behavioural and Population Biology
, vol.
66
(ed.
I. L.
Boyd
), pp.
349
368
.
Oxford
:
Clarendon Press
.
Williams
,
T. M.
(
1997
).
The evolution of cost-efficient swimming in marine mammals: limits to energetic optimization
.
Phil. Tran. R. Soc. Lond. B. (in press)
.
Williams
,
T. M.
,
Friedl
,
W. A.
,
Fong
,
M. L.
,
Yamada
,
R. M.
,
Sedivy
,
P.
and
Haun
,
J. E.
(
1992
).
Travel at low energetic cost by swimming and wave-riding bottlenose dolphins
.
Nature
355
,
821
823
.
Williams
,
T. M.
,
Friedl
,
W. A.
and
Haun
,
J. E.
(
1993a
).
The physiology of bottlenose dolphins (Tursiops truncatus): heart rate, metabolic rate and plasma lactate concentration during exercise
.
J. exp. Biol
.
179
,
31
46
.
Williams
,
T. M.
,
Friedl
,
W. A.
,
Haun
,
J. E.
and
Chun
,
N. K.
(
1993b
).
Balancing power and speed in bottlenose dolphins (Tursiops truncatus
).
In Marine Mammals: Advances in Behavioural and Population Biology
, vol.
66
(ed.
I. L.
Boyd
), pp.
383
394
.
Oxford
:
Clarendon Press
.
Williams
,
T. M.
,
Le Boeuf
,
B. J.
,
Davis
,
R. W.
,
Crocker
,
D. E.
and
Skrovan
,
R.
(
1996
).
Integrating behavior and energetics in diving marine mammals: New views using video technology
.
Fifth European Conference on Wildlife Telemetry. August 25–30
,
Strasbourg, France
.
Würsig
,
B.
and
Würsig
,
M.
(
1979
).
Behavior and ecology of the bottlenose dolphin, Tursiops truncatus, in the south Atlantic
.
Fishery Bull. Fish Wildl. Serv. U.S
.
77
,
399
412
.