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. 2020 Dec 28;8(1):coaa111. doi: 10.1093/conphys/coaa111

Diving deep into trouble: the role of foraging strategy and morphology in adapting to a changing environment

Monique Ladds 1,2,✉, David Rosen 3, Carling Gerlinsky 3, David Slip 2,4, Robert Harcourt 2
Editor: Steven Cooke
PMCID: PMC8218901  PMID: 34168880

Rapid environmental change may require fur seals and sea lions to make longer or deeper dives to find resources. A systematic review of diving behaviour and physiology revealed that a foraging strategy (epipelagic vs mesopelagic or benthic) was more important in predicting dive behaviour than morphology (fur seal vs sea lion).

Keywords: Otariid, aerobic dive limit, prey availability, meta-analysis, diving

Abstract

Physiology places constraints on an animal’s ability to forage and those unable to adapt to changing conditions may face increased challenges to reproduce and survive. As the global marine environment continues to change, small, air-breathing, endothermic marine predators such as otariids (fur seals and sea lions) and particularly females, who are constrained by central place foraging during breeding, may experience increased difficulties in successfully obtaining adequate food resources. We explored whether physiological limits of female otariids may be innately related to body morphology (fur seals vs sea lions) and/or dictate foraging strategies (epipelagic vs mesopelagic or benthic). We conducted a systematic review of the increased body of literature since the original reviews of Costa et al. (When does physiology limit the foraging behaviour of freely diving mammals? Int Congr Ser 2004;1275:359–366) and Arnould and Costa (Sea lions in drag, fur seals incognito: insights from the otariid deviants. In Sea Lions of the World Fairbanks. Alaska Sea Grant College Program, Alaska, USA, pp. 309–324, 2006) on behavioural (dive duration and depth) and physiological (total body oxygen stores and diving metabolic rates) parameters. We estimated calculated aerobic dive limit (cADL—estimated duration of aerobic dives) for species and used simulations to predict the proportion of dives that exceeded the cADL. We tested whether body morphology or foraging strategy was the primary predictor of these behavioural and physiological characteristics. We found that the foraging strategy compared to morphology was a better predictor of most parameters, including whether a species was more likely to exceed their cADL during a dive and the ratio of dive time to cADL. This suggests that benthic and mesopelagic divers are more likely to be foraging at their physiological capacity. For species operating near their physiological capacity (regularly exceeding their cADL), the ability to switch strategies is limited as the cost of foraging deeper and longer is disproportionally high, unless it is accompanied by physiological adaptations. It is proposed that some otariids may not have the ability to switch foraging strategies and so be unable adapt to a changing oceanic ecosystem.

Introduction

Globally, loss of species in marine environments has been slower than in terrestrial systems, but it now appears to be accelerating rapidly (McCauley et al. 2015), with increasing consequences predicted for many trophic levels including top predators (Schumann et al., 2013). Humans have profoundly decreased the abundance of many marine fauna and reshaped the genetic structure of a number of marine animal populations through over- and selective harvesting, respectively (McCauley et al., 2015), as well as fundamentally changing the structure of many marine communities (Vergés et al., 2014). Climate change is exacerbating these effects with distribution ranges shifting markedly as temperature regimes alter (Hazen et al., 2012; Brown et al., 2015; Deutschet al., 2015). These changes raise profound implications for top predators that may have to adapt foraging strategies to cope with shifting prey resources (Bakun et al., 2015; Sydeman et al., 2015; Carroll et al., 2016).

In general, predator foraging strategies account for the predictability and availability of food resources (Sigler et al., 2009; Kuhn 2011; Arthur et al., 2016). While most predators have sufficient inherent flexibility in their foraging strategies to adapt to moderate changes in their prey base (Grémillet and Charmantier, 2010), this capacity is limited by behavioural and physiological capacity. Air-breathing diving marine predators, such as marine mammals, face additional constraints imposed by their physiology and morphology (Schreer and Kovacs, 1997; McCafferty et al., 1998; Rosen et al., 2007). In the face of environmental uncertainty, there is significant potential for the foraging efforts and associated energetic demands of foraging marine predators to increase, particularly in relation to increased search or travel time (Kuhn 2011; Bestley et al., 2015). This is likely to be most severe for the smaller marine mammals such as female otariids (fur seals and sea lions), as adult females are small [30–120 kg except Steller sea lions (Eumetopias jubata)], and central place foragers while rearing offspring, and under suboptimal conditions must increase both individual dive duration and trip length (Womble et al., 2009; Staniland et al., 2010; Lowther et al., 2011). Otariids inhabit temperate coastal waters of every continent and are semi-aquatic, high-trophic-level predators. Foraging strategies used by otariids are predominantly pelagic (epipelagic or mesopelagic) or benthic (Costa et al., 2001; Costa et al., 2004; Gallagher et al., 2015). Otariids that forage in the epipelagic zone are typically found in open water (0–400 m) near the continental slope or off the shelf where small schooling prey (crustacea, fish and squid) tend to occur in dense patches that are spatially dynamic (Boyd and Murray, 2001; Harcourt et al., 2002; Robson et al., 2004). Otariids that forage benthically generally feed on larger prey that occur in lower densities but are more evenly distributed over the continental shelf in waters often, though not always, less than 200 m (Littnan and Arnould, 2007; Sigler et al., 2009; Lowther et al., 2011). When otariids forage in the epipelagic zone, foraging dives are short (typically less than 2 min) and shallow (less than 80 m) and are performed less than a third of the time that seals are at sea (e.g. Boyd and Duck, 1991; Trillmich and Kooyman, 2001; Beauplet et al., 2004). Benthic and mesopelagic foraging strategies are usually associated with longer dive durations, greater depths and a higher proportion of time at sea spent diving (TASD) (e.g. Costa and Gales 2000; Fowler et al., 2007; Spence-Bailey et al., 2007), much of which is spent at the bottom of the dive. As a consequence, benthic and mesopelagic divers are more likely to push their physiological limits than their pelagic diving counterparts (Chilvers et al., 2006). Benthic and mesopelagic divers are predicted to spend more time underwater during dives than epipelagic divers, potentially remaining beyond their estimated physiological capacity (Costa et al., 2004; Arnould and Costa 2006; Gallagher et al., 2015).

The aerobic dive limit (ADL) is a measure of the duration of a dive during which an animal uses only aerobic metabolism (Davis 2014, 2019). Since Kooyman et al., (1980) introduced the concept of ADL, it has been used throughout the literature as a measure of the physiological capacity of diving animals. When animals dive beyond their ADL, they are forced to use the less efficient anaerobic metabolism, which results in an accumulation of blood lactate (Kooyman et al., 1983). Lactic acid build-up generally results in a less efficient foraging cycle due to the disproportionate increase in surface durations between dives (Kooyman et al., 1980; Davis and Kanatous, 1999; Davis and Williams, 2012). Measuring the ADL directly through post-dive circulating lactic acid concentrations is a difficult task and to date it has only been measured in two phocids, the Weddell seal (Leptonychotes weddelli) (Kooyman et al., 1980) and the Baikal seal (Phoca sibirica) (Ponganis et al., 1997c), one otariid, the California sea lion (Zalophus californianus) (Ponganis et al., 1997b), and one diving bird, the emperor penguin (Aptenodytes forsteri) (Ponganis et al., 1997a). Instead, an estimate of ADL is generally used, which is calculated from total available body oxygen stores and the rate at which these are theoretically depleted by metabolic processes (Costa et al., 2001). This is the calculated ADL (cADL) and represents the time that an air-breathing animal can theoretically dive relying solely on aerobic metabolism (Costa et al., 2001). Although it is unlikely that there is a hard ‘switch’ between aerobic and anaerobic metabolism, cADL provides a standardized comparative measure of the aerobic diving capacity of marine mammals (Gerlinsky et al., 2013). A limitation of using cADL is that it can only be as good as both the measures of metabolic rate and of O2 stores for the different species (Butler, 2006), which may change seasonally (Villegas-Amtmann and Costa 2010).

Otariids notably have shorter dive durations and shallower dive depths than other similarly sized air-breathing diving mammals, a pattern that may be a product of physiological constraints related to their aerobic capacity that may explain which prey they target (Schreer et al., 2001). Within otariids, previous research suggested that the relatively small fur seals exceed their cADLs in 2–10% of dives (Gentry and Kooyman, 1986; Boyd and Croxall, 1996), while the larger sea lions may exceed their cADL in 40–60% of dives (Chilvers et al., 2006; Fowler et al., 2007). The body size both empirically and theoretically has a direct influence on diving capacity as metabolic rate scales to body mass0.75 while oxygen stores scale with body mass1.0. This means that simply due to allometry, larger animals will have a lower mass-specific metabolism for a relatively constant proportion of oxygen storage capacity (Ponganis, 2015) and so larger animals can dive longer and deeper than small ones based on the body size alone (i.e. dive ability scales with body mass1.25) (Boyd, 2002). Furthermore, fur seals and sea lions differ in thermoregulatory strategies with sea lions primarily relying on blubber for insulation (Liwanag et al., 2012b), while fur seals use layers of fur to stay warm (Liwanag et al., 2012a). Blubber is relatively incompressible and so maintains a more effective insulative capacity at depth compared to the fur seals’ double fur layer, which relies on air bubbles trapped in the underfur for insulation (Liwanag et al., 2012b).

However, Costa et al., (2004) hypothesized that the foraging strategy (benthic and mesopelagic vs epipelagic) was the main driver of relative foraging effort rather than morphology (sea lion vs fur seal) per se. They reported that benthic and mesopelagic divers were far more likely to exceed their cADL, spend more time at sea diving and have greater dive durations (Costa et al., 2004; Gallagher et al., 2015). They concluded that sea lions, as a result of being primarily benthic and/or mesopelagic divers, are likely operating near or at their physiological maximum (Chilvers et al., 2006; Fowler et al., 2007; Villegas-Amtmann and Costa, 2010). Diving for periods longer than the cADL is correlated with reduced foraging efficiency (Boyd et al., 1997) and may represent a limitation in their scope for behavioural adaptation to changing ecosystems. The proportion of dives that exceed an animal’s cADL can be used as a measure of the species’ dive performance.

Foraging efficiency is generally considered in terms of the proportion of the dive cycle spent actively pursuing prey. Hence, for marine mammals, foraging efficiency increases by maximizing their bottom time (Austin et al., 2006), and this is directly influenced by vertical distance travelled (Kramer, 1988). Regardless of whether otariids use an epipelagic, mesopelagic or benthic foraging strategy, environmental changes may require them to switch to deeper or longer dives. When seals are compelled to repeatedly dive for longer periods (e.g. if in a rich prey patch), they may have the ability to accumulate oxygen debt and replenish their stores later (Horning, 2012). The ability to increase their foraging effort without impacting their foraging efficiency (through increased reliance on anaerobic metabolism) is limited by their physiological capacity. An alternate strategy is to alter their overall foraging strategy rather than increase foraging effort under challenging prey conditions. While this theoretically makes sense, there is very little evidence that fur seals switch foraging strategies during periods of low prey abundance (Boyd et al., 1994) and clear evidence that at least some benthic foragers continue to use the same foraging habitat even when the fish guild structure changes significantly (Lowther et al., 2013). This suggests that some species may be physiologically constrained in their capacity to respond to environmental challenges as identified in Costa et al., (2004) and Arnould and Costa (2006). These original studies only looked at a subset of extant otariids and were based on the limited evidence available produced at that time. Diving studies on marine mammals inherently suffer from small sample sizes and become more robust as sample sizes increase (Sequeira et al., 2019). Over the past 15 years, numerous new studies of dive behaviour using larger numbers of animals and more species have appeared. This provides an opportunity to revisit the earlier forecasts of Costa and colleagues. Therefore, the aim of this review is to (i) summarize physiological and diving parameters for otariid species with the most up-to-date literature, (ii) revisit the approach devised by Costa et al., (2004) and Arnould and Costa (2006) by comparing and contrasting the diving characteristics (dive performance and foraging efficiency) of fur seals and sea lions as epipelagic vs mesopelagic and benthic divers and (iii) identify those species that may be operating at or near their physiological maximum and the implications of this in a changing world.

Methods

The family Otariidae (colloquially known as ‘otariids’) consists of nine extant species of fur seal (Arctocephalinae) with one subspecies and six species of sea lion (Otariinae) (Wolf et al., 2007). Despite no clear phylogenetic distinction between sea lions and fur seals (Berta and Churchill, 2012), we differentiate and compare these groups within this study because of their distinct morphological differences. The primary distinction between the two groups is their size and thermoregulation strategy, where the smaller fur seals rely more on their fur while the larger sea lions rely more on blubber for insulation (Berta et al., 2005). Using an array of search platforms (Google Scholar and Macquarie University Library) and databases (Wiley Online and Elsevier), we collected information from 16 species of lactating female otariid (where available). Physiological parameters were collected first on as many species as possible. Physiological parameters included total body oxygen stores (TBOS), diving or field metabolic rate (DMR or FMR), cADL and average body mass. Behavioural diving parameters were then collected from published sources for these same species when possible. Behavioural diving parameters included average and maximum dive duration and depth, percentage of TASD and post-dive surface interval (Tables 1 and 2). Not all of the required parameters were available for all 16 species and in some cases the value was inferred from a species matched from phylogenetic relationships informed by morphology (Churchill et al., 2014) and assumed to be equivalent (Costa et al., 2004).

Table 1. Summary diving parameters for 15 species of predominantly epipelagic diving otariids.

Common name Scientific name Distribution (latitude) N Mass Depth Max depth Duration Max duration TASD Dives per trip Trip duration Colony duration
Pelagic Min Max kg m m min min % N Days Days
Antarctic fur seal1,2,3 A. gazella −65 −50 49 32.7 29.2 122.9 1.3 3.7 29.0 1217 2.9 1.0
Subantarctic fur seal1,3,4 A. tropicalis −65 −50 47 43.1 20.4 127.6 1.6 3.4 23.2 1208 1.7 1.2
Northern fur seal2,5,6 Callorhinus ursinus 30 65 33 39.3 26.3 71.5 1.7 4.4 57.9 1725* 2.8 1.2
Galapagos fur seal6,7,8,9 A. galapagoensis −2 1 21 28.8 31.4 131.0 1.7 5.4 23.7 1049 1.2 1.0
New Zealand fur seal10,11 A. forsteri −50 −35 26 42.4 41.5 180.0 2.7 9.3 37.6 1046 6.8 2.1
Guadalupe fur seal12 A. philippii townsendi 27 40 1 52.5 15.0 27.1 2.6 18.0 45.5 1465 20.2 3.6
Cape fur seal13 A. pusillus −15 −35 6 75.0 45.0 197.5 2.1 7.0 57.8 NA NA NA
South American fur seal14,15 A. australis −20 −55 3 48.5 43.0 113.7 2.8 5.3 20.8 NA 2.3 1.9
California sea lion16,17,18,19 Z. californianus 20 50 11 82.4 75.0 143.2 2.8 7.7 38.5 1270** 2.7 1.0
Juan Fernandez fur seal20 A. philippii 33 34 18 48.0 12.3 66.1 0.8 3.4 2.6 202 12.3 5.3
Mixed
Galapagos sea lion21,22 Zalophus wollebaeki −2 1 2 78.0 146.1 429.7 2.6 9.0 65.7 2130 0.5 0.4
Southern sea lion23,24,25 Otaria byronia 0 −55 16 126.0 60.0 47.0 2.7 6.1 44.2 672 2.8 1.6

*Average number of dives per bout × average number of bouts per foraging trip.

**Calculated from average dives per hour × hours per foraging trip.

Information has been collated from published reports of diving parameters for species listed. A southern distribution is represented by negative latitude and is an estimate only. N is the sample size, mass is the average mass of animals studied, depth and duration are the average typical depths and durations of otariids dive, max depth and max duration are the maximum depth and maximum duration recorded by any otariid and TASD is the percentage time at sea spent diving.

Table 2. Summary diving parameters for eight benthic and mesopelagic divers.

Common name Scientific name Distribution (latitude) N Mass Depth Max depth Duration Max duration TASD Dives per trip Trip duration Colony duration
Benthic Min Max kg m m min min %
Australian fur seal1 Arctocephalus pusillus doriferus −35 −45 13 77.7 58.0 89.1 2.9 6.7 40.7 849 4.3 1.9
Southern sea lion2,3,4 O. byronia 0 −55 4 126.0 99.0 158.0 2.6 6.1 30.5 538 3.2 1.6
Australian sea lion5 Neophoca cinerea −25 −35 29 69.3 62.3 83.1 3.3 4.1 57.3 688 2.1 2.0
New Zealand sea lion6 Phocarctos hookeri −40 −50 11 112.3 124.0 353.0 3.4 8.3 44.9 831 4.4 2.1
Galapagos sea lion7,8,9 Z. wollebaeki −2 1 10 78.0 103.0 571 4.9 9.6 53.9 1767 1.1 0.5
Steller sea lion10 Eumetopias jubatus 45 60 11 194.0 25.3 236.0 1.6 16.0 22.0 280 0.87 0.87
Normally pelagic
Northern fur seal11,12 C. ursinus 30 65 33 36.8 79.5 205.0 3.2 5.4 33.8 1725 2.8 1.2
California sea lion13,14,15 Z. californianus 20 50 37 83.2 164.7 350..9 3.9 7.7 42.7 1326 4.3 1.3

Information has been collated from published reports of diving parameters for species listed. A southern distribution is represented by negative latitude and is an estimate only. N is the sample size, mass is the average mass of animals studied, depth and duration are the average typical depths and durations otariids dive, max depth and duration are the maximum depth and duration recorded by any otariid and TASD is the percentage time at sea spent diving.

Values of cADL are only reported for those species where either it had been previously calculated and published or only one required parameter was missing (either TBOS or DMR—see below). This enabled us to report or estimate the cADL for females of six fur seal and six sea lion species. We focussed on females as these were most likely to be physiologically constrained due to their smaller size and the impact that changes in foraging efficiency have on nursing offspring. There was insufficient information to include Guadalupe fur seals (Arctocephalus philippii townsendi), South American fur seals (Arctocephalus australis), Cape fur seals (Arctocephalus pusillus pusillus) or New Zealand fur seals (Arctocephalus forsteri) to calculate cADL.

While cADL is only an estimate of actual ADL (Gerlinsky et al., 2013), it remains the best standardized measure of diving abilities available (Butler, 2006). In this paper, cADL values were either taken directly from the literature as the author reported it or calculated from other available physiological data, specifically by dividing TBOS (mL O2 kg−1) by the DMR (mL O2 kg−1 min−1) of the animal (Costa et al., 2001):

graphic file with name M1.gif (1)

cADL and reported cADL differed significantly, and there were no reported cADL values for all species. Therefore, for consistency, only cADL values (those which were derived from the above formula) were used for analyses and reported cADL values are captured in the tables but not .

TBOS are the combined oxygen stores in the lung (usually estimated as lung volume multiplied by the fraction of air in the lungs that is assumed to be oxygen at the start of a dive), blood (calculated from measures of blood volume, haemoglobin concentration and the haemoglobin oxygen binding capacity) and muscle (calculated from estimates of muscle mass, myoglobin concentration and the myoglobin oxygen binding capacity) (Lenfant et al., 1970). Insufficient data were available to provide an estimate of TBOS for Galapagos fur seal (Arctocephalus galapagoensis) and South American fur seal (Arctocephalus australis) so the estimate for Antarctic fur seal (Arctocephalus gazella) was . All estimates were adjusted for mass and are detailed in Table 3.

Table 3. Summary physiological parameters for epipelagic divers.

Common name N Mass TBOS cADL (min) FMR (ml O2 kg−1 min −1)
kg ml O2 kg−1 Method Reported Calculated± Reported Method
Antarctic fur seal1 15 41.9 44.6 Bloods 1.6 1.5 29.6 DLW
Subantarctic fur seal2 14 43.1 36.0 Bloods 2.6 2.6 14.1# Estimate from AFS
Northern fur seal3,4 7 34.1 41.0 Bloods 2.6 1.3 19.9 Respirometry
Galapagos fur seal5,6 NA 30.0 62.3 Estimate from AFS 3.3 4.4 14.2 DLW
New Zealand fur seal7τ NA NA 35.7* Estimate from males NA 2.6 NA -
Guadalupe fur sealτ NA NA NA - NA 2.7 NA -
Cape fur sealτ 4 53.0 NA - NA 2.9 NA -
South American fur sealτ NA NA NA - NA 2.6 NA -
California sea lion8,9,10 11 82.4 51.5 Bloods 3.8 2.6 20.1 DLW
Juan Fernandez fur seal11 10 48.0 46.2** Bloods 2.6 17.6# Estimate from GFS
Normally benthic
Galapagos sea lion12,13 2 78.0 62.8 Bloods NA 3.8 16.5
Southern sea lion14,15 10 101.7 46.0 Bloods 2.4 2.2 21.2 Respirometry
±

±Calculated in this review as TBOS/FMR.

*Estimate using 22.6 (ml O2)/0.1 (l) = 226 (ml/l of blood) × 20 BV (l)/106.4, BM (kg) = 42.5 ml O2/kg where 20 BV (l) is taken from California sea lion;

**Estimate from 19.2 (ml O2)/0.1 (l) = 192 (ml/l of blood) × 13.2 BV (l)/48 BM (kg) = 46.2 ml O2/kg where 13.2 BV (l) is taken from Antarctic fur seal;

τ

τNot included in formal statistical tests as not enough information available.

Information has been collated from published reports of diving parameters for species listed. N is the sample size, mass is the average mass of animals studied, TBOS is the total body oxygen stores, which have either been estimated from other species (Estimate) or from blood samples (Bloods), cADL is the calculated ADL and FMR is the field metabolic rate, which has either been estimated from other species (Estimate), from doubly labelled water (DLW) or from respirometry (Respirometry).

DMR is a measure of the energy that is expended during submerged activity. For this review, we prioritized DMR data that were directly measured via respirometry, and where this was not available, we values estimated via doubly labelled water in the field (or FMR). Values estimated via respirometry are generally regarded as the ‘gold-standard’ of energy expenditure measurements and take into account only the energy expended during the dive (Rosen et al., 2016). FMR is an estimate of energy expenditure over an entire foraging trip, creating difficulties in extracting activity-specific measures of energy expenditure (Costa et al., 1989; Dalton et al., 2014). To more accurately capture diving effort, only at-sea FMR (i.e. excluding measures incorporating on-land periods) was as an estimate of DMR. Either method of estimating diving metabolism may lead to over- or under-estimates of the true cADL; thus, we use both to allow for comparisons among species.

Where possible, estimates of DMR were taken from published material and, when necessary, converted into ml O2 min−1 kg−1. Any estimates of DMR that were reported as W kg−1 were converted into ml O2 min−1 kg−1 using the following calculation:

graphic file with name M2.gif (4)

DMR was not available for two species [Juan Fernandez fur seals (Arctocephalus philippii philippii), Subantarctic fur seals (Arctocephalus tropicalis)] and, for these, DMR was calculated from an estimate from a similar species (Table 3) and adjusted for the body mass of the target group:

graphic file with name M3.gif (5)

where DMR = diving metabolic rate, BM = body mass, target = target species and similar = similar species.

Diving behavioural data were taken from published reports of wild otariid foraging. The average and maximum dive duration, the average and maximum dive depth, and proportion of time at sea diving (TASD), the number of seals it was calculated for and the standard deviation for each value were extracted for each species where it was available. TASD was not always recorded, but a diving rate (dives per hour) was available. We the following to estimate TASD from other dive parameters:

graphic file with name M4.gif (6)

where standard deviation was not available a crude estimate was made as

graphic file with name M5.gif (7)

Species were categorized as benthic and mesopelagic or epipelagic divers based on their primary mode of foraging (Costa et al., 2004; Arnould and Costa 2006). Species that foraged primarily on demersal prey on the benthos were regarded as benthic foragers. Those that foraged in the deep pelagic zone (below 200 m) were classified as mesopelagic foragers and those that foraged in the upper pelagic zone (above 200 m), tracking their prey through migratory patterns, were classified as epipelagic foragers. Where research found multiple strategies within a single species, the information for each type of foraging mode was captured and analysed separately.

Statistical analysis

A key goal of the study was to estimate how often animals dived beyond their cADL. This cannot be determined from point estimates of dive duration (e.g. mean or maximum), so we simulated a series of dive durations for the 13 species—6 fur seals and 7 sea lions—with complete dive parameters available from the literature. Simulated distributions were created with the mean and max dive duration and the number of seals from which the parameters were derived. We simulated diving durations using negative binomial distributions using the MASS package in R (Ripley et al., 2013) and then calculated the percentage of those dives that exceeded the cADL. We first estimated theta using Inline graphic = mean dive duration, y = average number of dives on a single foraging trip, df = number of seals − 1, then we simulated the dive distribution of a given species using the function rnegbin from the MASS package with 20 000 simulations, with the estimated theta and the specified limits of lower = 0 and upper = max dive time. We ran the simulation for the estimated number of foraging trips conducted on average each year for each species dive behaviour group. Average number of foraging trips was estimated from average duration spent at sea (days) and average colony duration (days). For example, the average number of dives that exceed the cADL for the Australian fur seal is estimated by first calculating theta using an average dive time of 2.9 min for an average of 849 dives per foraging trip from 13 seals. Theta is then to simulate the dive distribution for a given foraging trip with a maximum dive duration of 6.7 min, where the number of dives exceeding the cADL of 2.5 min. The simulation is repeated 59 times, the average number of foraging trips conducted per year. The final value is the mean value of proportion of dives that exceed the cADL of the simulated foraging trips.

All analyses were conducted in R and, before any parametric testing was conducted, all relevant assumptions (i.e. homogeneity of variances and normality) were tested and met. The summarized data for each species were rather than individual values as the data for individuals were rarely available, and it has been shown that the conclusions and effect sizes made from summary data are very similar to those made with individual data (Steinberg et al., 1997; Tudur Smith et al., 2016). Two-way analysis of variance (ANOVA) for summary data (Cohen 2002) were to look for statistical differences and interactions between and within foraging mode (benthic and meso vs. epipelagic) and morphology group (sea lion vs. fur seal). To implement the ANOVAs, the mean, standard deviation and sample size were included in the formula and implemented using the function ind.twoway.second() in the R package rpshychi (Okumura and Okumura 2012).

Pearson’s correlation tests were to examine the relationship between all the response variables (mass, depth, duration, TASD, TBOS, DMR, cADL, dive performance and percentage of dives that exceed the cADL). Dive performance is measured as the ratio of mean dive duration to cADL (Arnould and Costa 2006).

Results

Values to calculate the following results are in Tables 1–4 and the summary statistics derived related to the following results are in Table 5. cADL varied primarily by whether the species was a sea lion (Inline graphic2.9, SE = 0.30 min) or fur seal (Inline graphic2.7, SE = 0.22 min) (Table 5). Some variation in cADL could be explained by foraging strategy (epipelagic vs benthic or mesopelagic) (Table 5) where epipelagic foragers had a longer average cADL than benthic and mesopelagic divers (Inline graphic2.9, SE = 0.31 and Inline graphic2.7, SE = 0.22 min, respectively; Fig. 1). No variation could be explained by the interaction between the two (Table 5).

Table 4. Summary physiological parameters for eight benthic and mesopelagic divers.

Common name N Mass TBOS cADL (min) FMR (ml O2 kg−1 min −1)
kg ml O2 kg−1 Method Reported Calculated± Reported Method
Australian fur seal1 1 71.2 46.0 Bloods 2.4 3.0 15.2 DLW
Southern sea lion2,3 10 129.9 34.0 Bloods 1.9 1.6 21.2 Respirometry
Australian sea lion4,5 4 66.4 47.0 Bloods 2.3 4.2 11.2 DLW
New Zealand sea lion4,6 11 112.4 47.4 Bloods 2.3 2.3 20.3 DLW
Galapagos sea lion7,8 7 78.6 62.7 Bloods NA 4.0 15.6 DLW
Steller sea lion9 4 193.0 35.9 Bloods 3.0 2.8 12.6 Respirometry
Mixed
Northern fur seal10,11 7 36.9 41.0 Bloods 2.6 2.2 18.4 Respirometry
California sea lion12 4 86.7 51.5 Bloods 3.8 2.7 19.2 DLW
±

±Calculated in this review as TBOS/FMR.

Information has been collated from published reports of diving parameters for species listed. N is the sample size, mass is the average mass of animals studied, TBOS is the total body oxygen stores, which have either been estimated from other species (Estimate) or from blood samples (Bloods), cADL is the calculated ADL and FMR is the field metabolic rate, which has either been estimated from other species (Estimate), from doubly labelled water (DLW) or from respirometry (Respirometry).

Table 5. Averages (±SD) of diving and physiological parameters for family and foraging strategy and results of two-way ANOVAs.

Variable Foraging strategy Family ANOVA results 95% CI
Fur seal Sea lion Test F η2 Lower Upper
Depth (m)
N = 19
Benthic and mesopelagic 68.8 (±22.6) 96.4 (±25.4) Interaction 1.324 0.000 0.000 0.028
Family 84.85 0.204 0.132 0.277
Pelagic 29.3 (±16.6) 93.7 (±63.4) Foraging strategy 106.97 0.244 0.169 0.318
Duration (min)
N = 19
Benthic and mesopelagic 3.0 (±0.8) 3.0 (±0.5) Interaction 20.34 0.058 0.019 0.122
Family 21.25 0.060 0.020 0.116
Pelagic 1.9 (±0.9) 2.7 (±0.7) Foraging strategy 72.38 0.179 0.111 0.251
TASD (%)
N = 19
Benthic and mesopelagic 37.3 (±7.8) 39.9 (±8.1) Interaction 49.41 0.130 0.070 0.198
Family 90.46 0.215 0.142 0.288
Pelagic 33.1 (±7.1) 50.9 (±5.9) Foraging strategy 10.01 0.029 0.004 0.073
Total oxygen stores (ml O2 kg−1) N = 16 Benthic and mesopelagic 43.5 (±5.0) 46.4 (±7.2) Interaction 6.66 0.020 0.001 0.058
Family 34.72 0.095 0.043 0.158
Pelagic 46.0 (±5.6) 53.4 (±8.8) Foraging strategy 29.49 0.082 0.034 0.142
DMR (ml O2 min−1 kg−1) N = 12 Benthic and mesopelagic 16.8 (±4.6) 16.7 (±3.1) Interaction 1.78 0.005 0 0.032
Family 1.17 0.004 0 0.027
Pelagic 18.0 (±4.5) 19.3 (±4.0) Foraging strategy 14.18 0.041 0.009 0.090
cADL (min)
N = 19
Benthic and mesopelagic 2.6 (±0.2) 2.9 (±0.2) Interaction 10.58 0.031 0.005 0.076
Family 131.47 0.284 0.207 0.357
Pelagic 2.7 (±0.1) 2.8 (±0.2) Foraging strategy 1.87 0.006 0.0 0.032
Ratio (cADL/dive time) N = 19 Benthic and mesopelagic 1.2 (±0.001) 1.1 (±0.4) Interaction 6.86 0.020 0.001 0.059
Family 0.0 0.0 0.0 0.0
Pelagic 0.7 (±0.3) 1.0 (±0.2) Foraging strategy 80.10 0.195 0.124 0.267
Dives exceeding cADL (%) N = 19 Benthic and mesopelagic 55.6 (±1.4) 35.8 (±1.7) Interaction 2822.6 0.895 0.877 0.909
Family 1314.8 0.799 0.764 0.825
Pelagic 25.8 (±1.5) 29.5 (±1.2) Foraging strategy 6666.9 0.953 0.944 0.959

η2 is the estimate of the effect size of the difference and 95% CI is the confidence interval of the estimate.

Figure 1.

Figure 1

Interaction plots for the means ± SE of diving (depth, duration, TASD) and physiological (TBOS, DMR, cADL, ratio and % dives exceeding the cADL) variables for foraging strategy (benthic and mesopelagic vs epipelagic) and morphology (fur seal—circles, sea lion—triangles) for female otariids

TBOS varied both by morphology group (Table 5), with sea lions having larger TBOS than fur seals (Inline graphic48.74, SE = 3.34 ml O2 min kg0.75 vs Inline graphic45.54, SE = 3.10 ml O2 min kg0.75) and by foraging strategy with epipelagic divers having larger TBOS (Inline graphic47.86, SE = 3.14 ml O2 min kg0.75 vs Inline graphic45.68, SE = 3.22 ml O2 min kg0.75). No variation could be explained by the interaction between the two (Table 5). A small amount of variation in DMR could be explained by foraging strategy (Table 5), where epipelagic divers had higher DMR’s (Inline graphic= 18.35, SE = 1.35 ml O2 min−1 kg−1 vs benthic and mesopelagic Inline graphic= 16.72, SE = 1.29 ml O2 min−1 kg−1).

Both foraging strategy, morphology and their interaction accounted for variation in dive depth and duration (Table 5). Morphology accounted for a large amount of the variation in depth, while foraging strategy accounted for a large amount of variation in duration (Table 5). There was a large effect of morphology on TASD and a small interaction effect of morphology and foraging strategy (Table 5). On average sea lions dived deeper (sea lion Inline graphic = 95.49, SE = 14.89 m vs fur seal Inline graphic = 36.51, SE = 5.99 m), for longer (sea lion Inline graphic= 2.93, SE = 0.23 min vs fur seal Inline graphic = 2.09, SE = 0.24 min) and spent a greater proportion of their time at sea diving (Inline graphic = 43.57, SE = 4.69% vs Inline graphic = 33.87, SE = 4.98%) than fur seals. Dive performance measured by the ratio of cADL and average dive duration was influenced by foraging strategy (Table 5). The ratio was larger for benthic and mesopelagic divers (benthic and mesopelagic Inline graphic= 1.13, SE = 0.11 vs epipelagic Inline graphic = 0.76, SE = 0.07). The proportion of dives that exceed the cADL varied largely by foraging strategy (Table 5) where benthic and mesopelagic divers were far more likely to exceed the cADL (benthic and mesopelagic Inline graphic = 40.75., SE = 6.16% vs epipelagic Inline graphic = 26.90, SE = 3.13%).

There was no relationship between body mass and dive depth or dive duration (Pearson’s correlation test: P > 0.05 for both tests). There was no significant correlation between TBOS and dive depth or duration (P > 0.05). A positive correlation was found between dive performance (the ratio of dive duration to cADL) and dive depth (correlation coefficient = 0.46, P = 0.04; Fig. 2). Similarly, there was a positive correlation between percentage of dives that exceed the cADL and dive depth (correlation coefficient = 0.33, P = 0.18), where benthic and mesopelagic divers were more likely to exceed their cADL (Fig. 3).

Figure 2.

Figure 2

Relationship between the ratio of cADL to mean dive duration and mean dive depth for 7 female sea lions (squares) and 12 female fur seal (circles). Filled shapes represent pelagic divers and open shapes are benthic divers. Values less than one for the ratio of dive duration to cADL indicate that seals are diving on average shorter than their cADL; values greater than one indicate that seals have average dive durations greater than their cADL. Regression line shown in dotted line; relationship is estimated from least-squares regression.

Figure 3.

Figure 3

Distributions of simulated diving durations from a negative binomial distribution for seven fur seal species. The x-axis is the scaled dive duration for each sepecies (dive duation/maximum dive duration). Grey histograms represent pelagic divers; white histograms represent benthic divers; red line represents cADL for each species. N = number of seals; n = number of dives.

Overall, the probability of exceeding the cADL on any given dive was 1.5 times more likely for benthic and mesopelagic diving animals than for an epipelagic diver. Dive durations of epipelagic divers were predominantly less than half the duration of their maximum dive time (Figs 3 and 4). For benthic and mesopelagic diving animals, the distributions were more normally distributed (Figs 3–5). Benthic diving Northern fur seals were most likely to exceed their cADL, diving beyond the estimated threshold on 62% of dives.

Figure 4.

Figure 4

Distributions of simulated diving durations from a negative binomial distribution for six sea lion species. The x-axis is the scaled dive duration for each sepecies (dive duation/maximum dive duration). Grey histograms represent pelagic divers; white histograms represent benthic divers; red line represents cADL for each species. N = number of seals; n = number of dives.

Figure 5.

Figure 5

Distributions of simulated diving durations from a negative binomial distribution for Steller sea lions (benthic divers). The x-axis is the scaled dive duration for each sepecies (dive duation/maximum dive duration). Red line represents cADL for each species. N = number of seals, n = number of dives.

Comparison of multi-strategy animals

There were three species that foraged using both a benthic or mesopelagic strategy and an epipelagic strategy [Northern fur seals (Fig. 3), Southern sea lions and Galapagos sea lions (Fig. 4)]. Many of the benthic dives exceed the cADL for Northern fur seals (62%), while most pelagic and benthic dives were within the cADL for Southern sea lions (68–71%) and Galapagos sea lions (78–82%).

Discussion

Global changes to ocean ecosystems are predicted to result in range shifts for many otariid prey species (Costa et al., 2004; Bakun et al., 2015). For predators, this means that they may need to increase their foraging effort in order to gain sufficient energy, as failing to meet energetic demands directly impacts survival (Boyd et al., 1994). Diving mammals may be required to forage deeper and for longer (Costa et al., 2004), and/or target larger demersal prey that are predicted to be less influenced by changes in the ocean ecosystem (Perry et al., 2005). It has been hypothesized that species that normally dive within their ADL can increase foraging effort with fewer consequences by drawing on oxygen reserves to pursue prey at depth (Boyd et al., 1994; Costa et al., 2004). However, those species already operating at or near their physiological maximum may not have a similar capacity to increase foraging effort.

By reviewing the physiological (DMR, TBOS and cADL) and behavioural (dive depth, duration and TASD) information of females from every extant otariid, we have shown that foraging mode (benthic and mesopelagic or epipelagic), rather than morphology (fur seal or sea lion), is more indicative of which species operate at or near their physiological maximum. Crucially, we reviewed abilities for females that are not only more likely to be physiologically constrained, but are the limiting sex, directly influencing the size of populations. We found that female otariids that dive using a benthic or mesopelagic strategy forage deeper and longer and exceed their cADL 1.4 times as frequently as do epipelagic divers, regardless of whether they were a fur seal or sea lion. This may make the former more vulnerable to environmental changes that cause prey to move deeper or further offshore as their physiological scope for adaptation to diving deeper and longer is limited (and switching foraging strategies from benthic to epipelagic would not help them find prey). In contrast, as epipelagic divers generally do not currently exceed their cADL, they may have more scope to switch to a benthic foraging strategy; although if they do, the likelihood of exceeding their cADL substantially increases (Northern fur seal—Fig. 3). Therefore, switching foraging modes during periods of low prey abundance is not a risk-free solution to finding additional energy during these times.

Our study confirms that foraging strategy is a better predictor than morphology (fur seal vs sea lion) for identifying species operating near their physiological maximum and accords with earlier theorizing (Costa et al., 2004; Arnould and Costa 2006). We found that foraging strategy accounted for variation in more behavioural parameters than morphology, as either the sole predictor of variation (cADL ratio and depth) or as the interaction between morphology and foraging strategy (dives exceeding cADL, duration and TASD). In fact, morphology could only directly account for variation in one behavioural parameter, depth. Benthic and mesopelagic divers were more likely to exceed their cADL on a given dive, as demonstrated by an average cADL ratio (cADL/dive duration) greater than one. They dived to deeper depths for longer and, despite having relatively low DMR’s, also had smaller TBOS that limited their ability to dive longer within their cADLs (Fig. 1). Deeper dives were related to larger cADL ratios meaning that, as they dived deeper, they were more likely to exceed their cADLs. Benthic diving sea lions were most likely to dive for longer on average than their cADL (Fig. 2), while most of the epipelagic foragers dived on average for durations less or equal to theircADL.

The otariids that are currently operating closest to their physiological maximum are benthic and mesopelagic diving sea lions—the Australian sea lion, the New Zealand sea lion (Costa et al., 2004; Chilvers et al., 2006; Fowler et al., 2007; Villegas-Amtmann and Costa 2010) and the Northern fur seal when diving benthically. These sea lion species have the smallest populations, are classified as vulnerable or endangered (Tables 6 and 7) and exceed their cADL on between 45 and 57% of their dives (Fig. 4). They have previously been identified as operating near their physiological maximum (Costa et al., 2004; Chilvers et al., 2006; Fowler et al., 2007). The tendency to exceed their cADL is likely to be a contributing factor to the slow recovery of populations of Australian and New Zealand sea lions, which all routinely exceed their cADL (Boyd and Croxall 1996; Chilvers et al., 2006; Fowler et al., 2007).

Table 6.

Phylogenies, morphometrics and demographics of females of nine species of fur seal and one sub species

Fur seals Antarctic Subantarctic Northern Galapagos New Zealand Guadalupe Juan Fernandez Cape South American Australian
Scientific name A. gazella A. tropicalis C. ursinus A. galapagoensis A. forsteri A. townsendi A. philippii A. pusillus pusillus A. australis A. pusillus doriferus
Mass kg 22–50 25–67 30–50 27–33 ~50 ~50 ~48 41–113 ~40 41–113
Diet* 1, 4 1, 2, 3 1, 2 1, 2 1, 2, 5 1, 2 1 1, 2, 3 1, 2 1, 2, 3
Population Size ~4 200 000 ~400 000 ~1 290 000 ~15 000 ~200 000 ~18 000 ~33 000 ~2 000 000 ~219 000 ~120 000
Trend Decreasing Stable Decreasing Decreasing Increasing Increasing Increasing Increasing Increasing Stable
Status# LC LC V E LC LC LC LC LC LC
Environment Sub-polar Sub-polar Sub-polar Tropical Temperate Tropical Tropical Temperate Temp/Trop Temperate
References 1, 2, 3, 4 2, 5, 6, 7, 8 10, 11, 12 13, 14 15, 16, 17 18, 19 20, 21 10, 22, 8 23, 24, 25 26, 16, 27

*1. Fish; 2. Cephalopods; 3. Crustaceans; 4. Krill; 5. Birds; 6. Seals;

#

LC, least concern; NT, near threatened; V, vulnerable; E, endangered

Mass is an estimate of a typical adult female. Diet is what is typically consumed and is not exhaustive. Population size has been derived from primary literature where available at the latest estimate and represents the total estimated population. Trend and status are from the IUCN red list. Environment is where the species is typically found latitudinally.

Table 7.

Phylogenies, morphometrics and demographics of females of six species of sealion

Sea lions Australian New Zealand Galapagos Steller Southern California
Name N. cinerea P. hookeri Z. wollebaeki E. jubatus O. byronia Z. californianus
Mass 61–105 90–165 ~77 ~270 ~144 63–95
Diet* 1, 2, 3 1, 2, 3, 6 1, 2, 3 1, 2 1, 2, 3, 6 1, 2
Population Size ~13 000 ~10 000 ~10 000 ~161 000 ~445 000 ~390 000
Trend Decreasing Decreasing Decreasing Decreasing Stable Increasing
Status E V E NT LC LC
Environment Temperate Temperate Tropical Increasing Temperate Temp/Trop
References 28, 29, 30 31, 32, 33, 34 13, 35, 47 36, 37, 38 39, 40, 41, 42 43, 44, 45, 46, 48

*1. Fish; 2. Cephalopods; 3. Crustaceans; 4. Krill; 5. Birds; 6. Seals;

#

#LC, least concern; NT, near threatened; V, vulnerable; E, endangered.

Mass is an estimate of a typical adult female. Diet is what is typically consumed and is not exhaustive. Population size has been derived from primary literature where available at the latest estimate and represents the total estimated population. Trend and status are from the IUCN red list. Environment is where the species is typically found latitudinally.

All other sea lion species demonstrate mixed strategies (Fig. 4). Sea lions are typically much larger than fur seals (Tables 6 and 7), and larger animals theoretically have the ability to make longer and potentially deeper dives (Villegas-Amtmann and Costa 2010; Weise et al., 2010). However, we found that body mass was not correlated with the three behavioural parameters (TASD, dive depth and dive duration) nor the physiological parameters (DMR, cADL and TBOS). It is not surprising that neither TBOS or DMR were related to body mass, as we scaled values in our analyses, which also permits us to identify trends that were independent of body mass. For example, compared to other sea lion species, Galapagos sea lions have the highest mass-specific body oxygen stores [Villegas-Amtmann and Costa (2010), this study]. Galapagos sea lions are shown to have plasticity in their diving abilities linked to physiological (Villegas-Amtmann et al., 2008) and environmental (Jeglinski et al., 2015) differences. Individuals that specialize as benthic divers have higher TBOS than those classified as pelagic divers (Villegas-Amtmann and Costa 2010) and had different diet compositions as influenced by their foraging habitat (Jeglinski et al., 2015). Similarly, for Southern sea lions, the longest and deepest diving animals had significantly larger TBOS than the shallowest and shortest duration divers (Hückstädtet al., 2016) and the habitat they utilized also influenced their foraging behaviour (Baylis et al., 2015b). Studies on the California sea lion demonstrate that there was not a significant cost of using a benthic diving strategy as the at-sea FMR did not differ for a deep diving or mixed strategy (McHuronet al., 2016; McHuron et al., 2018). Perhaps because of these physiological adaptations, these benthic diving sea lions were no more likely to exceed their cADL than pelagic divers. Though, future work should investigate the complex linkages between foraging strategy, environmental gradients and physiological constraints that influence the adoptation and change of foraging strategies (Jeglinski et al., 2015).

The species least likely to be operating near their physiological maximum are the epipelagic diving fur seals. This includes the Antarctic, subantarctic, Galapagos, Guadalupe, Juan Fernandez and New Zealand fur seals. They are least likely to exceed their cADL (17–31% of dives, Fig. 3) and, with the exception of the Galapagos and Antarctic fur seal, have increasing or stable populations and are classified as least concern, despite all having been historically driven nearly to extinction by the fur trade (Table 6). Galapagos fur seal population dynamics are likely constrained by external forces, such as El Niño and fisheries, rather than physiological limitations related to foraging efficiency (Edgar et al., 2010). Epipelagic fur seals dive to shallower depths for shorter durations and spend less TASD than benthic or mesopelagic foragers. However, it is unclear whether all epipelagic divers could or would adopt a benthic or mesopelagic foraging strategy. For example, the Galapagos fur seal is unlikely to exceed its cADL on a given dive (26%). Even in times of increased competition, in years of limited food availability and mass starvation, there was no evidence that these fur seals switched foraging strategies (Horning and Trillmich 1997). When Antarctic fur seals switched from primarily short and shallow pelagic dives to deep and long mesopelagic dives during periods of prey shortages, they increased the probabilty of exceeding their cADL on any given dive from 13.6 to 35.2% (Boyd et al., 1994). The data available from the literature allowed us to test the impact of foraging strategy switching with one fur seal species—the Northern fur seal. There results demonstrate that the Norther fur seal exceeds its cADL when using a benthic diving strategy more often than not. Northern fur seal populations are currently in decline, seemingly in part related to changing prey distributions (Kuhn 2011). These environmental changes are likely to result in a change in Northern fur seal diving behaviour, pushing them to dive deeper and for longer (Kuhn et al., 2010), and if that is not available to them, increasing their trip durations (Georges et al., 2000a; Soto et al., 2006).

Grouping otariids by species and foraging strategy does limit how far we can draw conclusions from our data. For each combination of species and foraging strategy, a single data point representing their dive and physiological parameters must be selected to be representative, even though these may have been measured several times. We are also limited by the behavioural and physiological variables that we have included. Other behavioural variables such as time spent at sea, or physiological variables such as body fat or thermoneutral zones, may be important for developing a deeper understanding of the differences in species or foraging strategies. In addition, we did not explore the impacts of environmental variables such as oceanography (Jeglinski et al., 2015), climate change (Simmonds and Isaac 2007) or prey distributions (Horning and Trillmich 1999; Kuhn et al., 2015) that are known to influence these parameters. Future work should seek to include these important variables.

An inability by some populations to display plasticity results in other responses to food shortages such as increasing the duration of foraging trips, (Boyd et al., 1994) or spending more TASD (Georges et al., 2000b), rather than increasing the depth or duration of dives. However, there is little evidence that for epipelagic foragers an increase in foraging effort can compensate for large-scale environmental changes. Despite overall increases in foraging effort, the growth rate of Antarctic fur seal pups reflects the food availablity of the year, where low food availability corresponds to poor growth and overall lower survival of pups (Trillmich et al., 1991; Boyd et al., 1994; McCafferty et al., 1998). More widely, demonstrable environmental perturbations causing changes in fish abundance and latitudinal shifts in many of the ecosystems otariids inhabit are presenting them with new challenges, including prey scarcity and indirect resource competition (Bakun et al., 2015; Sydeman et al., 2015; Carroll et al., 2016). The adaptive capacity of marine mammals depends, in part, on their ability to change their diet and or foraging behaviour in the face of these challenges. Prey becoming scarcer and more patchily distributed means that mothers may need to forage further from their rookeries or dive deeper and longer to obtain enough food to survive and provide for their pups (Boyd et al., 1994). Foraging further from the rookery may have consequences on pup survival as the pups fast while mothers are at sea (Gentry and Kooyman 1986; Harcourt et al., 2002), while increasing effort by diving deeper for longer is only an option if it is within the physiological capacity of the individual.

This study supports the theorizing of Arnould and Costa (2006) and Costa et al., (2004) that some species may already be operating at their physiological maximum and therefore do not have the capacity to further adapt their foraging behaviour to a changing ecosystem. Here, the original conclusions by Arnould and Costa (2006) and Costa et al., (2004) have been expanded, showing that switching from a pelagic to a benthic or mesopelagic foraging strategy significantly increases the likelihood of exceeding the cADL. Further, these results show that sea lions that switch strategies have physiological adaptations to do so. This study also provides further evidence that the Australian sea lion and New Zealand sea lion are also operating near their physiological limits. Where there is considerable variation in the experimental environment, variation among individuals combined with small sample sizes, it is useful to retest hypotheses to ensure that they stand up once additional studies add more species and increase the sample size. These are important findings to reevaluate with a rapidly changing climate that has increased the pressures these animals face, and the need for considered conservation measures are more urgent now than ever before. We caution that species thought to be able to change foraging strategy may not be able to do so due to the high cost of deep diving to undertake benthic and mesopelagic foraging. In the face of rapidly changing coastal ecosystems, female otariids face increasing constraints due to the central place foraging requirement arising from their income breeding strategy, that is, the need to return to feed their pup. For those species not able to push their operating constraints further, there may be untoward population consequences.

Funding

This work was supported by a Macquarie University Research Excellence Support grant awarded to M. Ladds.

References

  1. Alava  JJ, Salazar  S (2006) Status and conservation of Otariids in Ecuador and the Galapagos Islands. In AW  Trites, SK  Atkinson, DP  DeMaster, LW  Fritz, TS  Gelatt, LD  Rea, KM  Wynne, eds, Sea Lions of the World. University of Alaska Fairbanks, Fairbanks, Alaska, USA. [Google Scholar]
  2. Arnould  JP, Hindell  MA (2001) Dive behaviour, foraging locations, and maternal-attendance patterns of Australian fur seals (Arctocephalus pusillus doriferus). Can J Zool  79: 35–48. [Google Scholar]
  3. Arnould  JPY, Costa  DP (2006) Sea lions in drag, fur seals incognito: insights from the otariid deviants. In AW  Trites, SK  Atkinson, DP  DeMaster, LW  Fritz, TS  Gelatt, LD  Rea, KM  Wynne, eds, Sea Lions of the World Fairbanks. Alaska Sea Grant College Program, Alaska, USA, pp. 309–324. [Google Scholar]
  4. Arthur  B, Hindell  M, Bester  MN, Oosthiuzen  WC, Wege  M, Lea  M-A (2016) South for the winter? Within-dive foraging effort reveals the trade-offs between divergent foraging strategies in a free-ranging predator. Funct Ecol  30: 1623–1637. [Google Scholar]
  5. Aurioles-Gamboa  D (2015a) Arctocephalus philippii. The IUCN Red List of Threatened Species 2015: e.T2059A61953525. https://www.iucnredlist.org/species/2059/61953525 (last accessed 13 January 2016).
  6. Aurioles-Gamboa  D (2015b) Arctocephalus townsendi. The IUCN Red List of Threatened Species 2015: e.T2061A45224420. https://www.iucnredlist.org/species/2061/45224420 (last accessed 13 January 2016).
  7. Aurioles-Gamboa  D, Hernández-Camacho  J (2015) Zalophus californianus. The IUCN Red List of Threatened Species 2015: e.T41666A45230310. https://www.iucnredlist.org/species/41666/45230310 (last accessed 13 January 2019).
  8. Austin  D, Bowen  WD, McMillan  JI, Iverson  SJ (2006) Linking movement, diving, and habitat to foraging success in a large marine predator. Ecology  87: 3095–3108. doi: 10.1890/0012-9658(2006)87[3095:LMDAHT]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
  9. Bailleul  F, Luque  S, Dubroca  L, Arnould  JP, Guinet  C (2005) Differences in foraging strategy and maternal behaviour between two sympatric fur seal species at the Crozet Islands. Mar Ecol Prog Ser  293: 273–282. [Google Scholar]
  10. Bakun  A, Black  BA, Bograd  SJ, García-Reyes  M, Miller  AJ, Rykaczewski  RR, Sydeman  WJ (2015) Anticipated effects of climate change on coastal upwelling ecosystems. Curr Clim Change Rep  1: 85–93. doi: 10.1007/s40641-015-0008-4. [DOI] [Google Scholar]
  11. Baylis  AM, Orben  RA, Arnould  JP, Christiansen  F, Hays  GC, Staniland  IJ (2015a) Disentangling the cause of a catastrophic population decline in a large marine mammal. Ecology  96: 2834–2847. [DOI] [PubMed] [Google Scholar]
  12. Baylis  AMM, Orben  RA, Arnould  JPY, Peters  K, Knox  T, Costa  DP, Staniland  IJ (2015b) Diving deeper into individual foraging specializations of a large marine predator, the southern sea lion. Oecologia  179: 1053–1065. doi: 10.1007/s00442-015-3421-4. [DOI] [PubMed] [Google Scholar]
  13. Beauplet  G, Dubroca  L, Guinet  C, Cherel  Y, Dabin  W, Gagne  C, Hindell  M (2004) Foraging ecology of subantarctic fur seals Arctocephalus tropicalis breeding on Amsterdam Island: seasonal changes in relation to maternal characteristics and pup growth. Mar Ecol Prog Ser  273: 211–225. [Google Scholar]
  14. Berta  A, Churchill  M (2012) Pinniped taxonomy: review of currently recognized species and subspecies, and evidence for their description. Mammal Rev  42: 207–234. doi: 10.1111/j.1365-2907.2011.00193.x. [DOI] [Google Scholar]
  15. Berta  A, Sumich  JL, Kovacs  KM (2005) Marine Mammals: Evolutionary Biology. Elsevier, California, USA. [Google Scholar]
  16. Bester  M, Wilson  J, Burle  M, Hofmeyr  G (2006) Population trends of Subantarctic fur seals at Gough Island: short communications. S Afr J Wildl Res  36: 191–194. [Google Scholar]
  17. Bestley  S, Jonsen  ID, Hindell  MA, Harcourt  RG, Gales  NJ (2015) Taking animal tracking to new depths: synthesizing horizontal–vertical movement relationships for four marine predators. Ecology  96: 417–427. doi: 10.1890/14-0469.1. [DOI] [PubMed] [Google Scholar]
  18. Boyd  I, McCafferty  D, Walker  T (1997) Variation in foraging effort by lactating Antarctic fur seals: response to simulated increased foraging costs. Behav Ecol Sociobiol  40: 135–144. [Google Scholar]
  19. Boyd  IL (2002) Energetics: consequences for fitness. In AR  Hoelzel, ed, Marine Mammal Biology–An Evolutionary Approach. Blackwell Science Ltd., Oxford, UK, pp. 247–277. [Google Scholar]
  20. Boyd  IL, Arnould  JPY, Barton  T, Croxall  JP (1994) Foraging behaviour of Antarctic fur seals during periods of contrasting prey abundance. J Anim Ecol  63: 703–713. [Google Scholar]
  21. Boyd  IL, Croxall  JP (1996) Dive durations in pinnipeds and seabirds. Can J Zool  74: 1696–1705. doi: 10.1139/z96-187. [DOI] [Google Scholar]
  22. Boyd  IL, Duck  CD (1991) Mass changes and metabolism in territorial male Antarctic fur seals (Arctocephalus gazella). Physiol Zool  64: 375–392. doi: 10.2307/30158530. [DOI] [Google Scholar]
  23. Boyd  IL, Murray  AWA (2001) Monitoring a marine ecosystem using responses of upper trophic level predators. J Anim Ecol  70: 747–760. [Google Scholar]
  24. Brown  CJ, O'Connor  MI, Poloczanska  ES, Schoeman  DS, Buckley  LB, Burrows  MT, Duarte  CM, Halpern  BS, Pandolfi  JM, Parmesan  C  et al. (2015) Ecological and methodological drivers of species’ distribution and phenology responses to climate change. Glob Change Biol  22: 1548–1560. doi: 10.1111/gcb.13184. [DOI] [PubMed] [Google Scholar]
  25. Butler  PJ (2006) Aerobic dive limit. What is it and is it always appropriately?  Comp Biochem Physiol Part A  145: 1–6. 10.1016/j.cbpa.2006.06.006. [DOI] [PubMed] [Google Scholar]
  26. Campagna  C (2014) Otaria byronia. The IUCN Red List of Threatened Species 2014: e.T41665A61943000. https://www.iucnredlist.org/species/41665/61948292 (last accessed 14 January 2016).
  27. Campbell  R, Chilvers  B, Childerhouse  S, Gales  N (2006) Conservation management issues and status of the New Zealand (Phocarctos hookeri) and Australian (Neophoca cinerea) sea lions. In Sea Lions of the World. Alaska Sea Grant College Program, University of Alaska, Fairbanks, AK, USA, pp. 455–471. [Google Scholar]
  28. Cárdenas-Alayza  S, Oliveira  L, Crespo  E (2016) Arctocephalus australis. The IUCN red list of threatened species 2008: e.T2055A9211535. https://www.iucnredlist.org/species/2055/45223529 (last accessed 13 January 2019).
  29. Carretta  JV, Oleson  EM, Weller  DW, Lang  AeR, Forney  KA, Baker  JD, Hanson  B, Martien  KK, Muto  M, Orr  AJ, et al. (2014). U.S. Pacific marine mammal stock assessments, 2013, NOAA technical memorandum NMFS, US Department of Commerce, USA, pp. 378. [Google Scholar]
  30. Carroll  G, Everett  JD, Harcourt  R, Slip  D, Jonsen  I (2016) High sea surface temperatures driven by a strengthening current reduce foraging success by penguins. Sci Rep  6: 22236. doi: 10.1038/srep22236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Chilvers  BL (2015) Phocarctos hookeri. The IUCN Red List of Threatened Species 2015: e.T17026A1306343. https://www.iucnredlist.org/species/17026/1306343 (last accessed 13 January 2016).
  32. Chilvers  BL, Goldsworthy  SD (2015) Arctocephalus forsteri. The IUCN Red List of Threatened Species 2015: e.T41664A45230026. https://www.iucnredlist.org/species/41664/45230026 (last accessed 13 January 2016).
  33. Chilvers  BL, Wilkinson  IS, Duignan  PJ, Gemmell  NJ (2006) Diving to extremes: are New Zealand sea lions (Phocarctos hookeri) pushing their limits in a marginal habitat?  J Zool  269: 233–240. doi: 10.1111/j.1469-7998.2006.00059.x. [DOI] [Google Scholar]
  34. Churchill  M, Boessenecker  RW, Clementz  MT (2014) Colonization of the Southern Hemisphere by fur seals and sea lions (Carnivora: Otariidae) revealed by combined evidence phylogenetic and Bayesian biogeographical analysis. Zool J Linn Soc  172: 200–225. doi: 10.1111/zoj.12163. [DOI] [Google Scholar]
  35. Cohen  BH (2002) Calculating a factorial ANOVA from means and standard deviations. Understand Stat  1: 191–203. [Google Scholar]
  36. Costa  DP, Croxall  JP, Duck  CD (1989) Foraging energetics of Antarctic fur seals in relation to changes in prey availability. Ecology  70: 596–606. doi: 10.2307/1940211. [DOI] [Google Scholar]
  37. Costa  DP, Gales  NJ (2000) Foraging energetics and diving behavior of lactating New Zealand sea lions, Phocarctos hookeri. J Exp Biol  203: 3655–3665. [DOI] [PubMed] [Google Scholar]
  38. Costa  DP, Gales  NJ (2003) Energetics of a benthic diver: seasonal foraging ecology of the Australian sea lion, Neophoca cinerea. Ecol Monogr  73: 27–43. [Google Scholar]
  39. Costa  DP, Gales  NJ, Goebel  ME (2001) Aerobic dive limit: how often does it occur in nature?  Comp Biochem Physiol Part A  129: 771–783. [DOI] [PubMed] [Google Scholar]
  40. Costa  DP, Gentry  RL (1986) Diving behaviour of South African fur seals. In DP  Costa, RL  Gentry, eds, Fur Seals: Maternal Strategies on Land and at Sea. Princeton University Press, Princeton, NJ, USA, pp. 79–101. [Google Scholar]
  41. Costa  DP, Kuhn  CE, Weise  MJ, Shaffer  SA, Arnould  JPY (2004) When does physiology limit the foraging behaviour of freely diving mammals?  Int Congr Ser  1275: 359–366. [Google Scholar]
  42. Dalton  AJM, Rosen  DAS, Trites  AW (2014) Season and time of day affect the ability of accelerometry and the doubly labeled water methods to measure energy expenditure in northern fur seals (Callorhinus ursinus). J Exp Mar Biol Ecol  452: 125–136. doi: 10.1016/j.jembe.2013.12.014. [DOI] [Google Scholar]
  43. Dans  SL, Crespo  EA, Pedraza  SN, Alonso  MK (2004) Recovery of the South American sea lion (Otaria flavescens) population in northern Patagonia. Can J Fish Aquat Sci  61: 1681–1690. doi: 10.1139/f04-105. [DOI] [Google Scholar]
  44. Dassis  M, Rodríguez  DH, Ieno  EN, Davis  RW (2012) Submerged swimming and resting metabolic rates in Southern sea lions. J Exp Mar Biol Ecol  432–433: 106–112. doi: 10.1016/j.jembe.2012.07.001. [DOI] [Google Scholar]
  45. Davis  RW (2014) A review of the multi-level adaptations for maximizing aerobic dive duration in marine mammals: from biochemistry to behavior. J Comp Physiol B  184: 23–53. [DOI] [PubMed] [Google Scholar]
  46. Davis  RW (2019) Marine Mammals: Adaptations for an Aquatic Life. Springer Nature, Switzerland. [Google Scholar]
  47. Davis  RW, Kanatous  SB (1999) Convective oxygen transport and tissue oxygen consumption in Weddell seals during aerobic dives. J Exp Biol  202: 1091–1113. [DOI] [PubMed] [Google Scholar]
  48. Davis  RW, Williams  TM (2012) The marine mammal dive response is exercise modulated to maximize aerobic dive duration. J Comp Physiol A Sens Neural Behav Physiol  198: 583–591. doi: 10.1007/s00359-012-0731-4. [DOI] [PubMed] [Google Scholar]
  49. Deutsch  C, Ferrel  A, Seibel  B, Pörtner  H-O, Huey  RB (2015) Climate change tightens a metabolic constraint on marine habitats. Science  348: 1132. [DOI] [PubMed] [Google Scholar]
  50. Edgar  GJ, Banks  SA, Brandt  M, Bustamante  RH, Chiriboga  A, Earle  SA, Garske  LE, Glynn  PW, Grove  JS, Henderson  S  et al. (2010) El Niño, grazers and fisheries interact to greatly elevate extinction risk for Galapagos marine species. Glob Change Biol  16: 2876–2890. doi: 10.1111/j.1365-2486.2009.02117.x. [DOI] [Google Scholar]
  51. Feldkamp  SD, DeLong  RL, Antonelis  GA (1988) Diving patterns of California sea lions, Zalophus californianus. Can J Zool  67: 872–883. [Google Scholar]
  52. Fowler  SL, Costa  DP, Arnould  JP, Gales  NJ, Burns  JM (2007) Ontogeny of oxygen stores and physiological diving capability in Australian sea lions. Funct Ecol  21: 922–935. doi: 10.1111/j.1365-2435.2007.01295.x. [DOI] [Google Scholar]
  53. Francis  J, Boness  D, Ochoa-Acuña  H (1998) A protracted foraging and attendance cycle in female Juan Fernandez fur seals. Mar Mamm Sci  14: 552–574. doi: 10.1111/j.1748-7692.1998.tb00742.x. [DOI] [Google Scholar]
  54. Gallagher  AJ, Hammerschlag  N, Cooke  SJ, Costa  DP, Irschick  DJ (2015) Evolutionary theory as a tool for predicting extinction risk. Trends Ecol Evol  30: 61–65. doi: 10.1016/j.tree.2014.12.001. [DOI] [PubMed] [Google Scholar]
  55. Gallo-Reynoso  JP (1994) Factors affecting the population status of Guadalupe fur seal, Arctocephalus townsendi (Merriam, 1897), at Isla de Guadalupe, Baja California, México, University of California, Santa Cruz.
  56. Gallo-Reynoso  JP, Figueroa-Carranza  A-L, Le Boeuf  B (2008) Foraging behavior of lactating Guadalupe fur seal females. In C  Lorenzo, E  Espinoza, J  Ortega, eds, Avances en el Estudio de los Mamíferos de México. Publicaciones Especiales, Vol. 2, pp. 595–614.
  57. Gelatt  T, Lowry  L (2012) Eumetopias jubatus. The IUCN Red List of Threatened Species 2012: e.T8239A17463451. https://www.iucnredlist.org/species/8239/45225749 (last accessed 14 January 2016)
  58. Gelatt  T, Ream  R, Johnson  D (2015) Callorhinus ursinus. The IUCN Red List of Threatened Species 2015: e.T3590A45224953. https://www.iucnredlist.org/species/3590/45224953 (last accessed 13 January 2016).
  59. Gentry  RL, Kooyman  GL (1986) Fur Seals: Maternal Strategies on Land and at Sea. Princeton University Press, Princeton, NJ, USA [Google Scholar]
  60. Georges  J-Y, Bonadonna  F, Guinet  C (2000a) Foraging habitat and diving activity of lactating Subantarctic fur seals in relation to sea-surface temperatures at Amsterdam Island. Mar Ecol Prog Ser  196: 291–304. [Google Scholar]
  61. Georges  J-Y, Tremblay  Y, Guinet  C (2000b) Seasonal diving behaviour in lactating subantarctic fur seals on Amsterdam Island. Polar Biol  23: 59–69. doi: 10.1007/s003000050008. [DOI] [Google Scholar]
  62. Gerlinsky  CD, Rosen  DA, Trites  AW (2013) High diving metabolism results in a short aerobic dive limit for Steller sea lions (Eumetopias jubatus). J Comp Physiol B  183: 1–10. doi: 10.1007/s00360-013-0742-7. [DOI] [PubMed] [Google Scholar]
  63. Goldsworthy  SD (2015) Neophoca cinerea. The IUCN Red List of Threatened Species 2015: e.T14549A45228341. https://www.iucnredlist.org/species/14549/45228341 (last accessed 13 January 2016).
  64. Grémillet  D, Charmantier  A (2010) Shifts in phenotypic plasticity constrain the value of seabirds as ecological indicators of marine ecosystems. Ecol Appl  20: 1498–1503. [DOI] [PubMed] [Google Scholar]
  65. Guinet  C, Jouventin  P, Georges  J (1994) Long term population changes of fur seals Arctocephalus gazella and Arctocephalus tropicalis on subantarctic (Crozet) and subtropical (St. Paul and Amsterdam) islands and their possible relationship to El Niño Southern Oscillation. Antarct Sci  6: 473–478. [Google Scholar]
  66. Harcourt  RG, Bradshaw  CJA, Dickson  K, Davis  LS (2002) Foraging ecology of a generalist predator, the female New Zealand fur seal. Mar Ecol Prog Ser  227: 11–24. doi: 10.3354/meps227011. [DOI] [Google Scholar]
  67. Hazen  EL  et al. (2012) Predicted habitat shifts of Pacific top predators in a changing climate. Nat Clim Chang  3: 234. doi: 10.1038/nclimate1686. https://www.nature.com/articles/nclimate1686#supplementary-information. [DOI] [Google Scholar]
  68. Hofmeyr  G (2014) Arctocephalus gazella. The IUCN Red List of Threatened Species 2014: e.T2058A45223888. https://www.iucnredlist.org/species/2058/66993062 (last accessed 13 January).
  69. Hofmeyr  G (2015) Arctocephalus tropicalis. The IUCN Red List of Threatened Species 2015: e.T2062A45224547. https://www.iucnredlist.org/species/2062/45224547 (last accessed 13 January).
  70. Hofmeyr  G, Bester  M, Makhado  A, Pistorius  P (2006) Population changes in Subantarctic and Antarctic fur seals at Marion Island. S Afr J Wildl Res  36: 55–68. [Google Scholar]
  71. Horning  M (2012) Constraint lines and performance envelopes in behavioral physiology: the case of the aerobic dive limit. Front Physiol  3: 381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Horning  M, Mellish  JAE (2012) Predation on an upper trophic marine predator, the Steller sea lion: evaluating high juvenile mortality in a density dependent conceptual framework. PLos One  7: e30173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Horning  M, Trillmich  F (1997) Ontogeny of diving behaviour in the Galapagos fur seal. Behaviour  134: 1211–1257. doi: 10.1163/156853997X00133. [DOI] [Google Scholar]
  74. Horning  M, Trillmich  F (1999) Lunar cycles in diel prey migrations exert a stronger effect on the diving of juveniles than adult Galapagos fur seals. Proc R Soc Lond B Biol Sci  266: 1127–1132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Hückstädt  LA, Tift  MS, Riet-Sapriza  F, Franco-Trecu  V, Baylis  AM, Orben  RA, Arnould  JP, Sepulveda  M, Santos-Carvallo  M, Burns  JM  et al. (2016) Regional variability in diving physiology and behavior in a widely distributed air-breathing marine predator, the South American sea lion Otaria byronia. J Exp Biol. doi: 10.1242/jeb.138677. [DOI] [PubMed] [Google Scholar]
  76. Jeanniard-du-Dot  T, Guinet  C, Arnould  JPY, Trites  AW (2016) Accelerometers can measure total and activity-specific energy expenditure in free-ranging marine mammals only if linked to time-activity budgets. Funct Ecol  31: 377–386. doi: 10.1111/1365-2435.12729. [DOI] [Google Scholar]
  77. Jeglinski  JWE, Wolf  JBW, Werner  C, Costa  DP, Trillmich  F (2015) Differences in foraging ecology align with genetically divergent ecotypes of a highly mobile marine top predator. Oecologia  179: 1041–1052. doi: 10.1007/s00442-015-3424-1. [DOI] [PubMed] [Google Scholar]
  78. Kirkman  SP, Oosthuizen  WH, Meÿer  MA, Kotze  PGH, Roux  JP, Underhill  LG (2007) Making sense of censuses and dealing with missing data: trends in pup counts of cape fur seal Arctocephalus pusillus pusillus for the period 1972–2004. Afr J Mar Sci  29: 161–176. doi: 10.2989/AJMS.2007.29.2.2.185. [DOI] [Google Scholar]
  79. Kirkwood  R, Goldsworthy  S (2013) Fur Seals and Sea Lions. CSIRO Publishing, Melbourne, Australia [Google Scholar]
  80. Kooyman  G, Castellini  M, Davis  R, Maue  R (1983) Aerobic diving limits of immature Weddell seals. J Comp Physiol B  151: 171–174. [Google Scholar]
  81. Kooyman  G, Wahrenbrock  E, Castellini  M, Davis  R, Sinnett  E (1980) Aerobic and anaerobic metabolism during voluntary diving in Weddell seals: evidence of preferred pathways from blood chemsitry and behavior. J Comp Physiol B  138: 335–346. [Google Scholar]
  82. Kooyman  GL, Gentry  J (1986) Diving behavior of South African fur seals. In RL  Gentry, GL  Kooyman, eds, Fur Seals: Maternal Strategies on Land and at Sea. Princeton University Press, Princeton, NJ, USA. [Google Scholar]
  83. Kramer  DL (1988) The behavioral ecology of air breathing by aquatic animals. Can J Zool  66: 89–94. [Google Scholar]
  84. Kuhn  CE (2011) The influence of subsurface thermal structure on the diving behavior of northern fur seals (Callorhinus ursinus) during the breeding season. Mar Biol  158: 649–663. doi: 10.1016/j.pocean.2010.09.025. [DOI] [Google Scholar]
  85. Kuhn  CE, Costa  DP (2014) Interannual variation in the at-sea behavior of California sea lions (Zalophus californianus). Mar Mamm Sci  30: 1297–1319. doi: 10.1111/mms.12110. [DOI] [Google Scholar]
  86. Kuhn  CE, Sterling  JT, Zeppelin  TK (2015) Linking northern fur seal behavior with prey distributions: the impact of temporal mismatch between predator studies and prey surveys. Anim Biotelem  3: 9. [Google Scholar]
  87. Kuhn  CE, Tremblay  Y, Ream  RR, Gelatt  TS (2010) Coupling GPS tracking with dive behavior to examine the relationship between foraging strategy and fine-scale movements of northern fur seals. Endang Species Res  12: 125–139. [Google Scholar]
  88. Laake  JL, Lowry  MS, DeLong  RL, Melin  SR, Carretta  JV (2018) Population growth and status of California sea lions. J Wildl Manage  82: 583–595. doi: 10.1002/jwmg.21405. [DOI] [Google Scholar]
  89. Ladds  MA, Slip  DJ, Harcourt  RG (2016) Swimming metabolic rates vary by sex and development stage, but not by species, in three species of Australian otariid seals. J Comp Physiol B  187: 503–516. doi: 10.1007/s00360-016-1046-5. [DOI] [PubMed] [Google Scholar]
  90. Laws  RM (1993) Antarctic Seals: Research Methods and Techniques. Cambridge University Press, New York, USA [Google Scholar]
  91. Lenfant  C, Johansen  K, Torrance  JD (1970) Gas transport and oxygen storage capacity in some pinnipeds and the sea otter. Respir Physiol  9: 277–286. [DOI] [PubMed] [Google Scholar]
  92. Lima  M, Páez  E (1995) Growth and reproductive patterns in the South American fur seal. J Mammal  76: 1249–1255. doi: 10.2307/1382619. [DOI] [Google Scholar]
  93. Lima  M, Páez  E (1997) Demography and population dynamics of South American fur seals. J Mammal  78: 914–920. [Google Scholar]
  94. Littnan  CL, Arnould  JPY (2007) Effect of proximity to the shelf edge on the diet of female Australian fur seals. Mar Ecol Prog Ser  338: 257–267. doi: 10.3354/meps338257. [DOI] [Google Scholar]
  95. Liwanag  HEM, Berta  A, Costa  DP, Abney  M, Williams  TM (2012a) Morphological and thermal properties of mammalian insulation: the evolution of fur for aquatic living. Biol J Linn Soc  106: 926–939. [Google Scholar]
  96. Liwanag  HEM, Berta  A, Costa  DP, Budge  SM, Williams  TM (2012b) Morphological and thermal properties of mammalian insulation: the evolutionary transition to blubber in pinnipeds. Biol J Linn Soc  107: 774–787. doi: 10.1111/j.1095-8312.2012.01992.x. [DOI] [Google Scholar]
  97. Loughlin  TR (2009) Steller sea lion: Eumetopias jubatus. In Encyclopedia of Marine Mammals. Elsevier, Burlington MA, USA, pp. 1107–1110. [Google Scholar]
  98. Lowther  AD, Goldsworthy  SD (2011) Maternal strategies of the Australian sea lion (Neophoca cinerea) at dangerous reef, South Australia. Aust J Zool  59: 54–62. doi: 10.1071/ZO11025. [DOI] [Google Scholar]
  99. Lowther  AD, Harcourt  RG, Hamer  DJ, Goldsworthy  SD (2011) Creatures of habit: foraging habitat fidelity of adult female Australian sea lions. Mar Ecol Prog Ser  443: 249–263. doi: 10.3354/meps09392. [DOI] [Google Scholar]
  100. Lowther  AD, Harcourt  RG, Page  B, Goldsworthy  SD (2013) Steady as he goes: at-sea movement of adult male Australian sea lions in a dynamic marine environment. PLoS One  8: e74348. doi: 10.1371/journal.pone.0074348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Luque  SP, Arnould  JP, Guinet  C (2008) Temporal structure of diving behaviour in sympatric Antarctic and subantarctic fur seals. Mar Ecol Prog Ser  372: 277–287. [Google Scholar]
  102. Maniscalco  JM, Springer  AM, Adkison  MD, Parker  P (2015) Population trend and elasticities of vital rates for Steller sea lions (Eumetopias jubatus) in the Eastern Gulf of Alaska: a new life-history table analysis. PLos One  10: e0140982. doi: 10.1371/journal.pone.0140982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. McCafferty  DJ, Boyd  IL, Walker  TR, Taylor  RI (1998) Foraging responses of Antarctic fur seals to changes in the marine environment. Mar Ecol Prog Ser  166: 285–299. [Google Scholar]
  104. McCauley  DJ, Pinsky  ML, Palumbi  SR, Estes  JA, Joyce  FH, Warner  RR (2015) Marine defaunation: animal loss in the global ocean. Science  347: 1255641. [DOI] [PubMed] [Google Scholar]
  105. McHuron  EA (2016) An individual-based approach to the foraging behavior and energetics of a generalist marine predator. UC Santa Cruz.
  106. McHuron  EA, Peterson  SH, Hückstädt  LA, Melin  SR, Harris  JD, Costa  DP (2018) The energetic consequences of behavioral variation in a marine carnivore. Ecol Evol  8: 4340–4351. doi: 10.1002/ece3.3983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. McHuron  EA, Robinson  PW, Simmons  SE, Kuhn  CE, Fowler  M, Costa  DP (2016) Foraging strategies of a generalist marine predator inhabiting a dynamic environment. Oecologia  182: 995–1005. doi: 10.1007/s00442-016-3732-0. [DOI] [PubMed] [Google Scholar]
  108. McIntosh  R, Kirkwood  R, Thalman  S, Alderman  R, Arnould  JPY, Mitchell  T, Kirkman  SP, Salton  M, Slip  DJ (2014). Pup estimates for Australian and New Zealand fur seals in Victoria, Tasmania and New South Wales between 2007 and 2013, Unpublished report to Australian Government Department of the Environment, Phillip Island Nature Parks and Department of the Environment, Melbourne, Australia, pp. 94.
  109. McKenzie  J, Page  B, Goldsworthy  SD, Hindell  MA (2007) Growth strategies of New Zealand fur seals in southern Australia. J Zool  272: 377–389. doi: 10.1111/j.1469-7998.2006.00278.x. [DOI] [Google Scholar]
  110. Neises  V, Zeligs  J, Harris  B, Cornick  L (2017) Examining the metabolic cost of otariid foraging under varying conditions. J Exp Mar Biol Ecol  486: 352–357. doi: 10.1016/j.jembe.2016.11.001. [DOI] [Google Scholar]
  111. Okumura  Y, Okumura  MY (2012) Package ‘rpsychi’.
  112. Page  B, McKenzie  J, Goldsworthy  SD (2005) Inter-sexual differences in New Zealand fur seal diving behaviour. Mar Ecol Prog Ser  304: 249–264. doi: 10.3354/meps304249. [DOI] [Google Scholar]
  113. Perry  AL, Low  PJ, Ellis  JR, Reynolds  JD (2005) Climate change and distribution shifts in marine fishes. Science  308: 1912. [DOI] [PubMed] [Google Scholar]
  114. Peters  KJ, Ophelkeller  K, Bott  NJ, Deagle  BE, Jarman  SN, Goldsworthy  SD (2015) Fine-scale diet of the Australian sea lion (Neophoca cinerea) using DNA-based analysis of faeces. Mar Ecol  36: 347–367. doi: 10.1111/maec.12145. [DOI] [Google Scholar]
  115. Ponganis  P, Kooyman  G, Starke  L, Kooyman  C, Kooyman  T (1997a) Post-dive blood lactate concentrations in emperor penguins, Aptenodytes forsteri. J Exp Biol  200: 1623–1626. [DOI] [PubMed] [Google Scholar]
  116. Ponganis  P, Kooyman  G, Winter  L, Starke  L (1997b) 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. [DOI] [PubMed] [Google Scholar]
  117. Ponganis  PJ (2015) Diving Physiology of Marine Mammals and Seabirds. Cambridge University Press, UK [Google Scholar]
  118. Ponganis  PJ, Gentry  RL, Ponganis  EP, Ponganis  KV (1992) Analysis of swim velocities during deep and shallow dives of two northern fur seals, Callorhinus ursinus. Mar Mamm Sci  8: 69–75. doi: 10.1111/j.1748-7692.1992.tb00126.x. [DOI] [Google Scholar]
  119. Ponganis  PJ, Kooyman  GL, Baranov  EA, Thorson  PH, Stewart  BS (1997c) The aerobic submersion limit of Baikal seals, Phoca sibirica. Can J Zool  75: 1323–1327. doi: 10.1139/z97-756. [DOI] [Google Scholar]
  120. Rehberg  MJ, Andrews  RD, Swain  UG, Calkins  DG (2009) Foraging behavior of adult female Steller sea lions during the breeding season in Southeast Alaska. Mar Mamm Sci  25: 588–604. doi: 10.1111/j.1748-7692.2008.00278.x. [DOI] [Google Scholar]
  121. Ripley  B, Venables  B, Bates  DM, Hornik  K, Gebhardt  A, Firth  D, Ripley  MB (2013) Package ‘mass’.
  122. Robson  BW, Goebel  ME, Baker  JD, Ream  RR, Loughlin  TR, Francis  RC, Antonelis  GA, Costa  DP (2004) Separation of foraging habitat among breeding sites of a colonial marine predator, the northern fur seal (Callorhinus ursinus). Can J Zool  82: 20–29. doi: 10.1139/z03-208. [DOI] [Google Scholar]
  123. Rosen  DAS, Gerlinsky  CG, Trites  AW (2017) Telemetry tags increase the costs of swimming in northern fur seals, Callorhinus ursinus. Mar Mamm Sci  34: 385–402. doi: 10.1111/mms.12460. [DOI] [Google Scholar]
  124. Rosen  DAS, Hindle  AG, Gerlinsky  CD, Goundie  E, Hastie  GD, Volpov  BL, Trites  AW (2016) Physiological constraints and energetic costs of diving behaviour in marine mammals: a review of studies using trained Steller sea lions diving in the open ocean. J Comp Physiol B  187: 29–50. doi: 10.1007/s00360-016-1035-8. [DOI] [PubMed] [Google Scholar]
  125. Rosen  DAS, Winship  AJ, Hoopes  LA (2007) Thermal and digestive constraints to foraging behaviour in marine mammals. Philos Trans R Soc Lond B Biol Sci  362: 2151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Schreer  JF, Kovacs  KM (1997) Allometry of diving capacity in air-breathing vertebrates. Can J Zool  75: 339–358. doi: 10.1139/z97-044. [DOI] [Google Scholar]
  127. Schreer  JF, Kovacs  KM, O'Hara Hines  RJ (2001) Comparative diving patterns of pinnipeds and seabirds. Ecol Monogr  71: 137–162. doi: 10.1890/0012-9615(2001)071[0137:CDPOPA]2.0.CO;2. [DOI] [Google Scholar]
  128. Schumann  N, Gales  NJ, Harcourt  RG, Arnould  JPY (2013) Impacts of climate change on Australian marine mammals. Aust J Zool  61: 146–159. doi: 10.1071/ZO12131. [DOI] [Google Scholar]
  129. Scientific Committee on Antarctic Research Expert Group on Seals (2004) Scientific Committee for Antarctic Research-Expert Group on Seals Report, Scientific Committee on Antarctic Research. http:/www.fagmed.uit.no/info/imb/aab/Scar/pdf/statusofstocs.pdf  (last accessed 13 January 2016).
  130. Scientific Committee on Antarctic Research Expert Group on Seals (2008) Status of Stocks, Scientific Committee on Antarctic Research. https://www.seals.scar.org/pdf/statusofstocs.pdf  (last accessed 13 January 2016).
  131. Sepúlveda  MS, Ochoa-Acuña  H, Homer  BL (1999) Age-related changes in hematocrit, hemoglobin, and plasma protein in Juan Fernandez fur seals (Arctocephalus philippii). Mar Mamm Sci  15: 575–581. doi: 10.1111/j.1748-7692.1999.tb00824.x. [DOI] [Google Scholar]
  132. Sequeira  AMM, Heupel  MR, Lea  MA, Eguíluz  VM, Duarte  CM, Meekan  MG, Thums  M, Calich  HJ, Carmichael  CH, Costa  DP  et al. (2019) The importance of sample size in marine megafauna tagging studies. Ecol Appl  26: e01947. doi: 10.1002/eap.1947. [DOI] [PubMed] [Google Scholar]
  133. Shaughnessy  P, Goldsworthy  S, Mackay  A (2015) The long-nosed fur seal in South Australia in 2013-14; abundance, status and trends. Aust J Zool. doi: 10.1071/ZO14103. [DOI] [Google Scholar]
  134. Shero  MR, Andrews  RD, Lestyk  KC, Burns  JM (2012) Development of the aerobic dive limit and muscular efficiency in northern fur seals (Callorhinus ursinus). J Comp Physiol B  182: 425–436. doi: 10.1007/s00360-011-0619-6. [DOI] [PubMed] [Google Scholar]
  135. Sigler  MF, Tollit  DJ, Vollenweider  JJ, Thedinga  JF, Csepp  DJ, Womble  JN, Wong  MA, Rehberg  MJ, Trites  AW (2009) Steller sea lion foraging response to seasonal changes in prey availability. Mar Ecol Prog Ser  388: 243–261. [Google Scholar]
  136. Simmonds  MP, Isaac  SJ (2007) The impacts of climate change on marine mammals: early signs of significant problems. Oryx  41: 19–26. doi: 10.1017/S0030605307001524. [DOI] [Google Scholar]
  137. Skinner  JP, Burkanov  VN, Andrews  RD (2012) Influence of environment, morphology, and instrument size on lactating northern fur seal Callorhinus ursinus foraging behavior on the Lovushki Islands, Russia. Mar Ecol Prog Ser  471: 293–308. [Google Scholar]
  138. Soto  KH, Trites  AW, Arias-Schreiber  M (2006) Changes in diet and maternal attendance of South American sea lions indicate changes in the marine environment and prey abundance. Mar Ecol Prog Ser  312: 277–290. [Google Scholar]
  139. Spence-Bailey  L, Verrier  D, Arnould  J (2007) The physiological and behavioural development of diving in Australian fur seal (Arctocephalus pusillus doriferus) pups. J Comp Physiol B  177: 483–494. doi: 10.1007/s00360-007-0146-7. [DOI] [PubMed] [Google Scholar]
  140. Spraker  TR, Lander  ME (2010) Causes of mortality in Northern fur seals (Callorhinus ursinus), St. Paul island, Pribilof islands, Alaska, 1986–2006. J Wildl Dis  46: 450–473. doi: 10.7589/0090-3558-46.2.450. [DOI] [PubMed] [Google Scholar]
  141. Staniland  IJ, Gales  N, Warren  NL, Robinson  SL, Goldsworthy  SD, Casper  RM (2010) Geographical variation in the behaviour of a central place forager: Antarctic fur seals foraging in contrasting environments. Mar Biol  157: 2382–2396. [Google Scholar]
  142. Steinberg  KK, Smith  SJ, Stroup  DF, Olkin  I, Lee  NC, Williamson  GD, Thacker  SB (1997) Comparison of effect estimates from a meta-analysis of summary data from published studies and from a meta-analysis using individual patient data for ovarian cancer studies. Am J Epidemiol  145: 917–925. doi: 10.1093/oxfordjournals.aje.a009051. [DOI] [PubMed] [Google Scholar]
  143. Sydeman  WJ, Poloczanska  E, Reed  TE, Thompson  SA (2015) Climate change and marine vertebrates. Science  350: 772. [DOI] [PubMed] [Google Scholar]
  144. Szteren  D, Aurioles  D, Gerber  LR (2006). Population status and trends of the California sea lion (Zalophus californianus californianus) in the Gulf of California, Mexico, Sea Lions of the World. Alaska Sea Grant College Program, Lowell Wakefield Fisheries Symposium Series, Rhode Island, pp. 369–384
  145. Thompson  D, Moss  SE, Lovell  P (2003) Foraging behaviour of South American fur seals (Arctocephalus australis): extracting fine scale foraging behaviour from satellite tracks. Mar Ecol Prog Ser  260: 285–296. [Google Scholar]
  146. Thompson  D, Strange  I, Riddy  M, Duck  CD (2005) The size and status of the population of southern sea lions Otaria flavescens in the Falkland Islands. Biol Conserv  121: 357–367. [Google Scholar]
  147. Trillmich  F (2015a) Arctocephalus galapagoensis. The IUCN Red List of Threatened Species 2015: e.T2057A45223722. https://www.iucnredlist.org/species/2057/45223722 (last accessed 13 January 2016).
  148. Trillmich  F (2015b) Zalophus wollebaeki. The IUCN Red List of Threatened Species 2015: e.T41668A45230540. https://www.iucnredlist.org/species/41668/45230540 (last accessed 13 January 2016).
  149. Trillmich  F, Kooyman  GL (2001) Field metabolic rate of lactating female Galapagos fur seals (Arctocephalus galapagoensis): the influence of offspring age and environment. Comp Biochem Physiol Part A  129: 741–749. 10.1016/S1095-6433(01)00343-9. [DOI] [PubMed] [Google Scholar]
  150. Trillmich  F, Kooyman  GL, Majluf  P, Sanchez-Grinan  M (1986) Attendance and diving behavior of South American fur seals during El Niño in 1983. In DP  Costa, RL  Gentry, eds, Fur Seals: Maternal Strategies on Land and at Sea. Princeton University Press, Princeton, NJ, USA. [Google Scholar]
  151. Trillmich  F, Ono  KA, Costa  D, DeLong  R, Feldkamp  S, Francis  J, Gentry  RL, Heath  C, LeBoeuf  B, Majluf  P (1991) The Effects of El Nino on Pinniped Populations in the Eastern Pacific. In: Pinnipeds and El Niño. Springer, Berlin, Heidelberg, Germany. [Google Scholar]
  152. Tudur Smith  C, Marcucci  M, Nolan  SJ, Iorio  A, Sudell  M, Riley  R, Rovers  MM, Williamson  PR (2016) Individual participant data meta-analyses compared with meta-analyses based on aggregate data. Cochrane Database Syst Rev . doi: 10.1002/14651858.MR000007.pub3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Vergés  A  et al. (2014) The tropicalization of temperate marine ecosystems: climate-mediated changes in herbivory and community phase shifts. Proc R Soc Lond B Biol Sci  281: e20140846. [DOI] [PMC free article] [PubMed] [Google Scholar]
  154. Verrier  D, Guinet  C, Authier  M, Tremblay  Y, Shaffer  S, Costa  DP, Groscolas  R, Arnould  JPY (2011) The ontogeny of diving abilities in subantarctic fur seal pups: developmental trade-off in response to extreme fasting?  Funct Ecol  25: 818–828. doi: 10.1111/j.1365-2435.2011.01846.x. [DOI] [Google Scholar]
  155. Villegas-Amtmann  S, Costa  DP (2010) Oxygen stores plasticity linked to foraging behaviour and pregnancy in a diving predator, the Galapagos sea lion. Funct Ecol  24: 785–795. doi: 10.1111/j.1365-2435.2009.01685.x. [DOI] [Google Scholar]
  156. Villegas-Amtmann  S, Costa  DP, Tremblay  Y, Salazar  S, Aurioles-Gamboa  D (2008) Multiple foraging strategies in a marine apex predator, the Galapagos sea lion Zalophus wollebaeki. Mar Ecol Prog Ser  363: 299–309. [Google Scholar]
  157. Villegas-Amtmann  S, Jeglinski  JWE, Costa  DP, Robinson  PW, Trillmich  F (2013) Individual foraging strategies reveal niche overlap between endangered Galapagos pinnipeds. PLoS One  8: e70748. doi: 10.1371/journal.pone.0070748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  158. Villegas-Amtmann  S, McDonald  BI, Páez-Rosas  D, Aurioles-Gamboa  D, Costa  DP (2017) Adapted to change: low energy requirements in a low and unpredictable productivity environment, the case of the Galapagos Sea lion. Deep Sea Res Part 2 Top Stud Oceanogr  140: 94–104. doi: 10.1016/j.dsr2.2016.05.015. [DOI] [Google Scholar]
  159. Weise  MJ, Costa  DP (2007) Total body oxygen stores and physiological diving capacity of California sea lions as a function of sex and age. J Exp Biol  210: 278–289. doi: 10.1242/jeb.02643. [DOI] [PubMed] [Google Scholar]
  160. Weise  MJ, Harvey  JT, Costa  DP (2010) The role of body size in individual-based foraging strategies of a top marine predator. Ecology  91: 1004–1015. doi: 10.1890/08-1554.1. [DOI] [PubMed] [Google Scholar]
  161. Wells  RMG (1978) Observations on the haematology and oxygen transport of the New Zealand fur seal, Arctocephalus forsteri. N Z J Zool  5: 421–424. [Google Scholar]
  162. Werner  R, Campagna  C (1995) Diving behaviour of lactating southern sea lions (Otaria flavescens) in Patagonia. Can J Zool  73: 1975–1982. doi: 10.1139/z95-232. [DOI] [Google Scholar]
  163. Wolf  JBW, Tautz  D, Trillmich  F (2007) Galápagos and Californian sea lions are separate species: genetic analysis of the genus Zalophus and its implications for conservation management. Front Zool  4: 20. doi: 10.1186/1742-9994-4-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Womble  JN, Sigler  MF, Willson  MF (2009) Linking seasonal distribution patterns with prey availability in a central-place forager, the Steller sea lion. J Biogeogr  36: 439–451. [Google Scholar]

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