Skip to main content

BRIEF RESEARCH REPORT article

Front. Mar. Sci., 09 August 2024
Sec. Discoveries
This article is part of the Research Topic New Observations on the Behavior, Ecology, and Biology of Sharks and Rays View all 15 articles

Eat-clean-repeat: reef manta rays (Mobula alfredi) undertake repetitive feeding-cleaning cycles at an aggregation site in Seychelles

Rachel J. Newsome,*Rachel J. Newsome1,2*Henriette M. V. GrimmelHenriette M. V. Grimmel2Dillys K. PouponeauDillys K. Pouponeau2Ellie E. MoulinieEllie E. Moulinie2Amy A. AndreAmy A. Andre2Robert W. Bullock,Robert W. Bullock2,3
  • 1Physiology, Ecology and Conservation Laboratory, Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute and Environmental and Conservation Sciences, Murdoch University, Perth, WA, Australia
  • 2Save Our Seas Foundation – D’Arros Research Centre, Geneva, Switzerland
  • 3Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville, QLD, Australia

To maximise energy efficiency, manta ray (Mobula alfredi, M. birostris) foraging and cleaning behaviours are thought to often be mutually exclusive, whereby individuals will only forage when prey density thresholds are met and will only clean when foraging is too energetically costly (i.e., thresholds are not met). Here, snorkel surveys and remote camera cleaning station footage show reef manta rays (M. alfredi) undertaking repetitive and short-term movements between surface-feeding and cleaning station visits around D’Arros Island, Seychelles. These observations demonstrate that foraging and cleaning behaviours are not mutually exclusive even when prey densities are high. At D’Arros Island, the proximity of cleaning stations to highly productive foraging areas may afford individuals the opportunity to undertake non-foraging activity without incurring significant energy loss from the shifts in behaviour. These data inform a more nuanced understanding of this species’ use of key habitats.

1 Introduction

Manta rays (Myliobatidae, Bonaparte 1838) (Mobula alfredi, M. birostris) are planktivorous ectotherms with a circum-global distribution in tropical and sub-tropical waters (Lawson et al., 2019). As planktivorous species, manta rays must often cope with the boom-and-bust characteristic nature of oligotrophic environments (i.e., Papastamatiou and Lowe, 2005; Papastamatiou et al., 2007), whereby sporadic foraging opportunities may be followed by periods of starvation (Rohner et al., 2017). In response to their patchily distributed prey resource (Folt and Burns, 1999; Srokosz et al., 2003), manta rays often form predictable aggregations at known locations (“aggregation sites”) often associated with high prey availability (Couturier et al., 2011; Armstrong et al., 2016; Harris et al., 2020; Harris and Stevens, 2021). Understanding the function of these aggregation sites is important for mobulid conservation (Palacios et al., 2023). Importantly, foraging opportunities are not wholly responsible for animal presence, with cleaning station visitation (O’Shea et al., 2010; Jaine et al., 2012), socialisation and/or mating opportunities (Stevens et al., 2018) and predator avoidance (Germanov et al., 2019) also known to be drivers.

Different behaviours have different energetic consequences to the individual (e.g., Kacelnik and Houston, 1984; Houston, 1995; Christian et al., 1997; Williams et al., 2006) and current understanding suggests that, in response to this, different behaviours (particularly foraging and cleaning) are often mutually exclusive, triggered by differing conditions and generally occurring at different times (O’Shea et al., 2010; Barr and Abelson, 2019; Weeks et al., 2015). For example, the slow swimming speed associated with filter-feeding is thought to be energetically costly (Alexander, 1990; but see Paig-Tran et al., 2011), and as a result, it is only energetically efficient for manta rays to forage when prey densities reach a threshold that outweighs the energetic costs of filter-feeding (Armstrong et al., 2016; Armstrong et al. 2021b). It even appears that different fine-scale local environmental conditions preferentially drive foraging behaviour and cleaning station visitation within aggregation sites around the world (e.g., Dewar et al., 2008; Jaine et al., 2012; Couturier et al., 2018; Harris and Stevens, 2021). While specific local conditions, such as tidal height and range, may be strongly associated with certain behaviours (e.g., foraging, cleaning), it does not restrict these behaviours from being undertaken under other conditions and cleaning and/or foraging may very well occur outside of these constraints within the same aggregation site, albeit less-frequently (e.g., Jaine et al., 2012; Harris and Stevens, 2021; Harris et al., 2021).

The way an animal uses energy in its environment and how conditions influence the energetic costs of foraging and locomotion can be reconstructed from an animals’ energy landscape (Shepard and Lambertucci, 2013). Requirements modulated through energy landscapes can provide explanation to an individual’s habitat use, distribution, and migration pathways (Wilson et al., 2012; Shepard and Lambertucci, 2013). Given the disproportionate risk of extinction in large elasmobranchs and shifting global conditions affecting energy balance (Lawson et al., 2019), it is therefore increasingly relevant to develop a more nuanced understanding of energetics and habitat use in these species.

Here, observations are reported of reef manta rays (M. alfredi) around D’Arros Island, Seychelles undertaking frequent cycles between surface foraging and cleaning behaviours. To the best of our knowledge, these data suggest definitively for the first time that foraging and cleaning behaviours are not always mutually exclusive in reef manta rays. This has implications for our understanding of reef manta energetics as well as the functioning of key reef manta ray aggregation sites.

2 Methods

D’Arros Island (5°24.9’S, 53°17.9’E) is a 2 km long by 1 km wide coral sand cay, situated within the Amirantes Island Group, Seychelles (Figure 1). D’Arros is encompassed by a recently gazetted ‘Zone 1’ marine protected area (MPA) that affords the site “high biodiversity protection” (Official Gazette No 34 – Ministry of Agriculture, Climate Change and Environment, 2020). The surrounding reefs provide habitat for over 400 individual reef manta rays (Grimmel, unpublished data) that make use of productive foraging areas and cleaning stations year-round with seasonally driven peaks in their presence around the island (Peel et al., 2019, 2020).

Figure 1
www.frontiersin.org

Figure 1 D’Arros Island (5°24.9’S, 53°17.9’E) situated within the Amirantes island group of the Seychelles archipelago. Manta survey efforts contained to shallower water depths around the perimeter of the island (within 1 km). Two cleaning stations are situated along the northern edge of the island. Exact locations are not disclosed to protect key habitats of the species. Basemap source: Esri®.

2.1 Cleaning stations

The coastal reefs north of D’Arros Island host several cleaning stations, two of which have been identified and are monitored with stationary cameras set at fixed locations at ~ 20 m depth (“MantaCam”). These two stations are situated to the north of D’Arros Island approximately 150 m apart along a west-east axis and are located within 10 meters from the start of the reef crest, where the reef steeply slopes from ~3 m to ~ 20 m depth. As individual manta rays can be identified from unique ventral markings (Beebe and Tee-Van, 1941; Marshall et al., 2008), cameras face upwards to capture images of the ventral surface of reef manta rays as they use the cleaning site. GoPro Hero 8 and 9 cameras (GoPro Incorporation, California, United States of America) with Voltaic 75V always-on external batteries (Voltaic Systems, New York, United States of America) are housed inside waterproof casings and take pictures on timelapse every 10 seconds during daylight hours (0630-1830 or 0600-1800, depending on season). Cameras are changed regularly to ensure near continuous coverage of the sites. Data from each station is downloaded and processed by identifying individual mantas using the station against an ID database of all known individuals within the wider Seychelles archipelago (Seychelles Manta Ray Project). To distinguish between cleaning behaviours and cleaning station visitation for socialization (or other behaviours), cleaning was identified when cleaner wrasse were observed interacting with the individual. Date and timestamps for each sighting are recorded. Any individual that stayed at the station for a prolonged period had the entire duration of that visit noted down.

2.2 Surface-feeding

Reef manta ray surface-feeding behaviour was monitored via survey, whereby a small vessel patrolled the coastal areas (within 1 km from shore) of D’Arros, completing a full circumference of the island. During these surveys, the vessel completed a distance of approximately 7 km around the island at a maximum speed of 8 knots, with the skipper and at least two snorkelers locating manta rays. On survey days described here, surveys were undertaken by three or four snorkelers (excluding the skipper) for a duration of approximately three hours. While individuals may be located along the entire survey area, during the surveys identified here individuals were predominantly located along the 2 km stretch north of D’Arros, intersecting where the two cleaning stations are located. The closest proximity of surface-feeding individuals to cleaning stations was approximately 20 m, when individuals were located directly above the cleaning stations. Manta rays located from aboard the vessel were followed via snorkel to collect photo identification of their ventral surface using GoPro Hero 9, 11 or 12. Footage was cross-referenced with the ID database to identify and pinpoint timestamps for each individual when they were surface-feeding. Surface-feeding was identified as when cephalic lobes unfurled and individuals’ mouth was open.

2.3 Feeding-cleaning cycles

Repetitive movements, grouped as total numbers of behavioural transits (one-way movements from surface-feeding to cleaning station use or vice versa) as well as feeding-cleaning cycles (feeding, cleaning and back to feeding or vice versa), were quantified from survey and camera data. Behavioural transits were quantified over a maximum of 1-hour periods whereby an individual that was observed surface-feeding (or cleaning) must be observed undertaking the other behaviour within 1-hour of the initial observation. Feeding-cleaning cycles were quantified over a maximum of 2-hour periods whereby an individual had to be observed surface-feeding (or cleaning), transit to the other behaviour, and then return to the original behaviour within the 2-hour period. This timeframe was based on survey duration and the time-period over which the majority of reef manta rays were observed surface-feeding. Individuals that cycled or transitioned between behaviours but outside of these parameters were not included.

3 Results

Across four survey days during November and December 2023, 11 identified individual reef manta rays undertook repetitive behavioural transits and feeding-cleaning cycles (Table 1). A total of 27 transits (μ = 2.45 ± 0.78 S.D) and 15 cycles (1.36 ± 0.5) were undertaken, with cycles ranging from 11 to 102 min (66 ± 29) in duration (Table 1). Here, duration of cycles is the total time taken for the individual to move from one behaviour (e.g., cleaning) to another (e.g., feeding) and then return again to the original behaviour (e.g., cleaning). Median time taken for an individual to transit between behaviours was 28 minutes (μ = 29.48 ± 17.75 S.D). SC-MA-0014 undertook the quickest transits between behaviours with a mean of 8.33 ± 5.44 minutes. SC-MA-0101 undertook the longest transits with a mean of 48.5 ± 2.5 minutes (Table 1).

Table 1
www.frontiersin.org

Table 1 Metadata table of individual reef manta rays (Mobula alfredi) that undertook movements between surface-feeding and cleaning behaviours.

Cleaning-only behaviour was the most commonly seen behaviour across the four survey days. The second most common behaviour was feeding-cleaning cycles except on 18 December where feeding-only was the second most common behaviour. The 21 November (n=23) had the highest proportion of individuals undertaking both feeding and cleaning behaviours (56.5%) and feeding-cleaning cycles (34.8%). The 18 December (n=10) had the lowest proportion of individuals exhibiting both behaviours (14.3%) and feeding-cleaning cycles (7%), with an equal representation of cleaning-only and feeding-only behaviours (42.9% for both). Most individuals (excluding SC-MA-0298, -0092, -0321 and -0007), not only undertook repetitive movements between surface-feeding and cleaning behaviours but also repetitively moved between visiting each of the two cleaning stations (Table 1).

4 Discussion

An individual’s capacity to minimise energy expenditure (i.e. cost of locomotion) and maximise energy gain through foraging has direct (e.g., body condition, mortality) (du Plessis et al., 2012; Giles et al., 2020) and indirect (e.g., reproductive success) (Ballard et al., 2010; Jeanniard-du-Dot et al., 2017; Jeanniard du Dot et al., 2018) consequences on fitness and survival. According to optimal foraging theory, animals must maximise energy acquisition by obtaining as much energy as possible through foraging in a given period of time (Schoener, 1971; Norberg, 1977, 2021). Under this assumption, when conditions favour foraging (e.g., plankton densities exceed a threshold), manta rays will exclusively forage in order to meet energetic demands and will not expend energy undertaking other behaviours elsewhere (see O’Shea et al., 2010; Barr and Abelson, 2019). Findings here, however, demonstrate short-term cycles between surface-feeding and cleaning station use in reef manta rays at a Seychelles aggregation site for the first time. At D’Arros, high-use cleaning stations adjacent to the northern reef slopes coincide with areas of preferred feeding (Peel et al., 2024). The reefs on the northern shores have a steeper topographic relief relative to the south, potentially driving greater upwellings of plankton and influencing observed spatial patterns in feeding at the site. Similarly, the steeper reef slopes around the north of D’Arros make for more pronounced deep reef patches that act as quality cleaning stations. The proximity of these cleaning stations to highly productive foraging areas may mean that cleaning activity can be undertaken without significant loss of energy or that intermittent cleaning confers other benefits to the individual. Cleaning stations play an important role in manta ray fitness, offering an important location for socialisation and potentially improving social learning, predator avoidance and contribute to foraging efficiency through collective feeding events (Perryman et al., 2019). As a result, manta rays are thought to preferentially select cleaning stations with hard coral substrate and specific cleaner wrasse species with these ‘quality’ cleaning stations contributing to a spatial map the individuals possess of their landscape (Armstrong et al. 2021a). Here, reef manta rays most commonly exhibited cleaning behaviours, whether these were cleaning-only or cleaning alongside feeding behaviours. While cleaning may very well be the most common behaviour over surveyed days, cleaning stations are consistently monitored by remote camera across the entire day whereas surveys are limited to the survey period (~3 hours). Therefore, it is possible that an animal that was only observed cleaning also surface-fed but was not identified during the survey. Regardless, functional cleaning and foraging habitat in close proximity may benefit not just foraging success but also sociability in this population whereby interrupted or unsuccessful cleaning events can be returned to after a brief foraging ‘break’. Such quality cleaning sites occurring in concert with productive foraging areas may play an important role in selection of key high-use habitats.

Observations here offer a unique perspective into the energy landscape of D’Arros Island reef manta rays where the seascape hosts opportunities to undertake multiple behaviours simultaneously without suffering an apparent net energy loss through reduced foraging opportunities. Energy landscapes are dynamic, varying in space and time (Masello et al., 2017) and so these observations may be situational even within the D’Arros Island aggregation site as both localised and broad-scale environmental conditions influence energetic costs of behaviour for the population. It should be noted that the need to maximize foraging activity, as according to optimal foraging theory, may not be applicable to all populations of manta ray. Some populations live in highly productive environments where they do not suffer the energetic knife edge associated with oligotrophic conditions (see Papastamatiou and Lowe, 2005; Papastamatiou et al., 2007). For populations where feeding to satiation is not favoured, repetitive and simultaneous cycles between foraging and cleaning events may offer a unique opportunity to undertake a multitude of behaviours without a net energy loss. Regardless of the potential circumstantial nature of these feeding-cleaning cycles, the data presented here offers important consideration for conservation of key aggregation sites of vulnerable species.

While other aggregation sites suggest feeding and cleaning behaviours may present closer to mutual exclusivity in manta rays (O’Shea et al., 2010; Barr and Abelson, 2019), specific habitats, such as D’Arros, may provide for alternative energetic strategies. D’Arros is not the only site that may offer habitat characteristics that afford multiple behaviours occurring simultaneously. Manta rays in aggregation sites within Raja Ampat, Indonesia, use the habitat for foraging and cleaning, though repetitive feeding-cleaning cycles have not been formally identified at these sites (Setyawan et al., 2020). Areas such as these may be important for both social behaviour and energy acquisition through foraging. Continuous effort should be made into identifying habitat where individuals undertake multiple key behaviours simultaneously and can be done using non-invasive techniques (e.g., remote camera as used in this study, drones as discussed in Setyawan et al., 2020). Increasing anthropogenic pressure at manta ray aggregation sites, particularly cleaning stations (Tratalos and Austin, 2001; Murray et al., 2020), could have ongoing consequences for the capacity of individuals to meet their energy demands if these areas coincide with highly productive foraging areas. Defining the function and overlap in important cleaning, feeding or socialisation areas is therefore imperative to the long-term conservation of these species.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

The animal study was approved by Seychelles Bureau of Standard, Seychelles Government. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

RN: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. HG: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Writing – review & editing. DP: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. EM: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. AA: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. RB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing, Supervision.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. All equipment and facilities used to undertake this work was supported by the Save Our Seas Foundation. Lead author RN was supported by the Forrest Research Foundation Scholarship, Society for Underwater Technology Scholarship and Australian Government Research Training Program Stipend during fieldwork and write-up of this work.

Acknowledgments

The authors would like to acknowledge the Save Our Seas Foundation for their generous support allowing this work to be undertaken. The authors would also like to acknowledge the field assistance of Marcus Kats and Nico Fassbender during parts of the fieldwork for this project.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Alexander R. M. (1990). Size, speed and buoyancy adaptations in aquatic animals. Am. Zoologist 30, 189–196. doi: 10.1093/icb/30.1.189

CrossRef Full Text | Google Scholar

Armstrong A. O., Armstrong A. J., Bennett M. B., Richardson A. J., Townsend K. A., Everett J. D., et al. (2021a). Mutualism promotes site selection in a large marine planktivore. Ecol. Evol. 11, 5606–5623. doi: 10.1002/ece3.7464

PubMed Abstract | CrossRef Full Text | Google Scholar

Armstrong A. O., Armstrong A. J., Jaine F. R., Couturier L. I., Fiora K., Uribe-Palomino J., et al. (2016). Prey density threshold and tidal influence on reef manta ray foraging at an aggregation site on the great barrier reef. PloS One 11, e0153393. doi: 10.1371/journal.pone.0153393

PubMed Abstract | CrossRef Full Text | Google Scholar

Armstrong A. O., Stevens G. M., Townsend K. A., Murray A., Bennett M. B., Armstrong A. J., et al. (2021b). Reef manta rays forage on tidally driven, high density zooplankton patches in Hanifaru Bay, Maldives. Peerj 9, e11992. doi: 10.7717/peerj.11992

PubMed Abstract | CrossRef Full Text | Google Scholar

Ballard G., Dugger K. M., Nur N., Ainley D. G. (2010). Foraging strategies of Adélie penguins: adjusting body condition to cope with environmental variability. Mar. Ecol. Prog. Ser. 405, 287–302. doi: 10.3354/meps08514

CrossRef Full Text | Google Scholar

Barr Y., Abelson A. (2019). Feeding–cleaning trade-off: Manta ray “decision-making” as a conservation tool. Front. Mar. Sci. 6, 88. doi: 10.3389/fmars.2019.00088

CrossRef Full Text | Google Scholar

Beebe W., Tee-Van J. (1941). Eastern Pacific expeditions of the New York Zoological Society. XXVIII Fishes from the tropical eastern Pacific. Part 3: rays, mantas, and chimaeras. Zool. Sci. Contrib. NY Zool. Soc. 26, 245–280.

Google Scholar

Christian K. A., Baudinette R., Pamula Y. (1997). Energetic costs of activity by lizards in the field. Funct. Ecol. 11, 392–397. doi: 10.1046/j.1365-2435.1997.00099.x

CrossRef Full Text | Google Scholar

Couturier L. I., Jaine F. R., Townsend K. A., Weeks S. J., Richardson A. J., Bennett M. B. (2011). Distribution, site affinity and regional movements of the manta ray, Manta alfredi (Krefft 1868), along the east coast of Australia. Mar. Freshw. Res. 62, 628–637. doi: 10.1071/MF10148

CrossRef Full Text | Google Scholar

Couturier L., Newman P., Jaine F., Bennett M., Venables W., Cagua E., et al. (2018). Variation in occupancy and habitat use of Mobula alfredi at a major aggregation site. Mar. Ecol. Prog. Ser. 599, 125–145. doi: 10.3354/meps12610

CrossRef Full Text | Google Scholar

Dewar H., Mous P., Domeier M., Muljadi A., Pet J., Whitty J. (2008). Movements and site fidelity of the giant manta ray, Manta birostris, in the Komodo Marine Park, Indonesia. Mar. Biol. 155, 121–133. doi: 10.1007/s00227-008-0988-x

CrossRef Full Text | Google Scholar

du Plessis K. L., Martin R. O., Hockey P. A., Cunningham S. J., Ridley A. R. (2012). The costs of keeping cool in a warming world: implications of high temperatures for foraging, thermoregulation and body condition of an arid-zone bird. Global Change Biol. 18, 3063–3070. doi: 10.1111/j.1365-2486.2012.02778.x

CrossRef Full Text | Google Scholar

Folt C. L., Burns C. W. (1999). Biological drivers of zooplankton patchiness. Trends Ecol. Evol. 14, 300–305. doi: 10.1016/S0169-5347(99)01616-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Germanov E. S., Bejder L., Chabanne D. B., Dharmadi D., Hendrawan I. G., Marshall A. D., et al. (2019). Contrasting habitat use and population dynamics of reef manta rays within the Nusa Penida marine protected area, Indonesia. Front. Mar. Sci. 215. doi: 10.3389/fmars.2019.00215

CrossRef Full Text | Google Scholar

Giles S. L., Harris P., Rands S. A., Nicol C. J. (2020). Foraging efficiency, social status and body condition in group-living horses and ponies. Peerj 8, e10305. doi: 10.7717/peerj.10305

PubMed Abstract | CrossRef Full Text | Google Scholar

Harris J. L., Hosegood P., Robinson E., Embling C. B., Hilbourne S., Stevens G. M. (2021). Fine-scale oceanographic drivers of reef manta ray (Mobula alfredi) visitation patterns at a feeding aggregation site. Ecol. Evol. 11, 4588–4604. doi: 10.1002/ece3.7357

PubMed Abstract | CrossRef Full Text | Google Scholar

Harris J. L., McGregor P. K., Oates Y., Stevens G. M. (2020). Gone with the wind: Seasonal distribution and habitat use by the reef manta ray (Mobula alfredi) in the Maldives, implications for conservation. Aquat. Conservation: Mar. Freshw. Ecosyst. 30, 1649–1664. doi: 10.1002/aqc.3350

CrossRef Full Text | Google Scholar

Harris J. L., Stevens G. M. (2021). Environmental drivers of reef manta ray (Mobula alfredi) visitation patterns to key aggregation habitats in the Maldives. PloS One 16. doi: 10.1371/journal.pone.0252470

CrossRef Full Text | Google Scholar

Houston A. I. (1995). Energetic constraints and foraging efficiency. Behav. Ecol. 6, 393–396. doi: 10.1093/beheco/6.4.393

CrossRef Full Text | Google Scholar

Jaine F. R., Couturier L. I., Weeks S. J., Townsend K. A., Bennett M. B., Fiora K., et al. (2012). When giants turn up: sighting trends, environmental influences and habitat use of the manta ray Manta alfredi at a coral reef. PloS One 7. doi: 10.1371/journal.pone.0046170

CrossRef Full Text | Google Scholar

Jeanniard-du-Dot T., Trites A. W., Arnould J. P., Guinet C. (2017). Reproductive success is energetically linked to foraging efficiency in Antarctic fur seals. PloS One 12, e0174001. doi: 10.1371/journal.pone.0174001

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeanniard du Dot T., Trites A. W., Arnould J. P. Y., Speakman J. R., Guinet C. (2018). Trade-offs between foraging efficiency and pup feeding rate of lactating northern fur seals in a declining population. Mar. Ecol. Prog. Ser. 600, 207–222. doi: 10.3354/meps12638

CrossRef Full Text | Google Scholar

Kacelnik A., Houston A. I. (1984). Some effects of energy costs on foraging strategies. Anim. Behav. 32, 609–614. doi: 10.1016/S0003-3472(84)80298-5

CrossRef Full Text | Google Scholar

Lawson C. L., Halsey L. G., Hays G. C., Dudgeon C. L., Payne N. L., Bennett M. B., et al. (2019). Powering ocean giants: the energetics of shark and ray megafauna. Trends Ecol. Evol. 34, 1009–1021. doi: 10.1016/j.tree.2019.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Marshall A. D., Pierce S. J., Bennett M. B. (2008). Morphological measurements of manta rays (Manta birostris) with a description of a foetus from the east coast of Southern Africa. Zootaxa 1717, 24–30. doi: 10.11646/zootaxa.1717.1

CrossRef Full Text | Google Scholar

Masello J. F., Kato A., Sommerfeld J., Mattern T., Quillfeldt P. (2017). How animals distribute themselves in space: variable energy landscapes. Front. Zool. 14. doi: 10.1186/s12983-017-0219-8

CrossRef Full Text | Google Scholar

Murray A., Garrud E., Ender I., Lee-Brooks K., Atkins R., Lynam R., et al. (2020). Protecting the million-dollar mantas; creating an evidence-based code of conduct for manta ray tourism interactions. J. Ecotourism 19, 132–147. doi: 10.1080/14724049.2019.1659802

CrossRef Full Text | Google Scholar

Norberg R. A. (1977). An ecological theory on foraging time and energetics and choice of optimal food-searching method. J. Anim. Ecol. 46, 511–529. doi: 10.2307/3827

CrossRef Full Text | Google Scholar

Norberg R.Å. (2021). To minimize foraging time, use high-efficiency, energy-expensive search and capture methods when food is abundant but low-efficiency, low-cost methods during food shortages. Ecol. Evol. 11, 16537–16546. doi: 10.1002/ece3.8204

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Shea O. R., Kingsford M. J., Seymour J. (2010). Tide-related periodicity of manta rays and sharks to cleaning stations on a coral reef. Mar. Freshw. Res. 61, 65–73. doi: 10.1071/MF08301

CrossRef Full Text | Google Scholar

Paig-Tran E. M., Bizzarro J. J., Strother J. A., Summers A. P. (2011). Bottles as models: predicting the effects of varying swimming speed and morphology on size selectivity and filtering efficiency in fishes. J. Exp. Biol. 214, 1643–1654. doi: 10.1242/jeb.048702

PubMed Abstract | CrossRef Full Text | Google Scholar

Palacios M. D., Stewart J. D., Croll D. A., Cronin M. R., Trejo-Ramirez A., Stevens G. M. W., et al. (2023). Manta and devil ray aggregations: conservation challenges and developments in the field. Front. Mar. Sci. 10. doi: 10.3389/fmars.2023.1148234

CrossRef Full Text | Google Scholar

Papastamatiou Y. P., Lowe C. G. (2005). Variations in gastric acid secretion during periods of fasting between two species of shark. Comp. Biochem. Physiol. Part A: Mol. Integr. Physiol. 141, 210–214. doi: 10.1016/j.cbpb.2005.05.041

CrossRef Full Text | Google Scholar

Papastamatiou Y. P., Purkis S. J., Holland K. N. (2007). The response of gastric pH and motility to fasting and feeding in free swimming blacktip reef sharks, Carcharhinus melanopterus. J. Exp. Mar. Biol. Ecol. 345, 129–140. doi: 10.1016/j.jembe.2007.02.006

CrossRef Full Text | Google Scholar

Peel L. R., Meekan M. G., Daly R., Keating C. A., Collin S. P., Nogues J., et al. (2024). Remote hideaways: first insights into the population sizes, habitat use and residency of manta rays at aggregation areas in Seychelles. Mar. Biol. 171. doi: 10.1007/s00227-024-04405-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Peel L. R., Stevens G. M., Daly R., Daly C. A. K., Lea J. S., Clarke C. R., et al. (2019). Movement and residency patterns of reef manta rays Mobula alfredi in the Amirante Islands, Seychelles. Mar. Ecol. Prog. Ser. 621, 169–184. doi: 10.3354/meps12995

CrossRef Full Text | Google Scholar

Peel L. R., Stevens G. M., Daly R., Keating Daly C. A., Collin S. P., Nogués J., et al. (2020). Regional movements of reef manta rays (Mobula alfredi) in Seychelles waters. Front. Mar. Sci. 7, 558. doi: 10.3389/fmars.2020.00558

CrossRef Full Text | Google Scholar

Perryman R. J. Y., Venables S. K., Tapilatu R. F., Marshall A. D., Brown C., Franks D. W. (2019). Social preferences and network structure in a population of reef manta rays. Behav. Ecol. Sociobiol. 73, 114. doi: 10.1007/s00265-019-2720-x

CrossRef Full Text | Google Scholar

Rohner C. A., Flam A. L., Pierce S. J., Marshall A. D. (2017). Steep declines in sightings of manta rays and devilrays (Mobulidae) in southern Mozambique. PeerJ Preprints 5, e3051v3051. doi: 10.7287/peerj.preprints.3051v1

CrossRef Full Text | Google Scholar

Schoener T. W. (1971). Theory of feeding strategies. Annu. Rev. Ecol. systematics 2, 369–404. doi: 10.1146/annurev.es.02.110171.002101

CrossRef Full Text | Google Scholar

Setyawan E., Erdmann M. V., Lewis S. A., Mambrasar R., Hassan A. W., Templeton S., et al. (2020). Natural history of manta rays in the Bird’s Head Seascape, Indonesia, with an analysis of the demography and spatial ecology of Mobula alfredi (Elasmobranchii: Mobulidae). J. Ocean Sci. Foundation 36, 49–83. doi: 10.5281/zenodo.4396260

CrossRef Full Text | Google Scholar

Shepard E. L., Lambertucci S. A. (2013). From daily movements to population distributions: weather affects competitive ability in a guild of soaring birds. J. R. Soc. Interface 10, 20130612. doi: 10.1098/rsif.2013.0612

PubMed Abstract | CrossRef Full Text | Google Scholar

Srokosz M., Martin A., Fasham M. (2003). On the role of biological dynamics in plankton patchiness at the mesoscale: An example from the eastern North Atlantic Ocean. J. Mar. Res. 61, 517–537. doi: 10.1357/002224003322384915

CrossRef Full Text | Google Scholar

Stevens G. M., Hawkins J. P., Roberts C. M. (2018). Courtship and mating behaviour of manta rays Mobula alfredi and M. birostris in the Maldives. J. Fish Biol. 93, 344–359. doi: 10.1111/jfb.13768

PubMed Abstract | CrossRef Full Text | Google Scholar

Tratalos J. A., Austin T. J. (2001). Impacts of recreational SCUBA diving on coral communities of the Caribbean island of Grand Cayman. Biol. Conserv. 102, 67–75. doi: 10.1016/S0006-3207(01)00085-4

CrossRef Full Text | Google Scholar

Weeks S. J., Magno-Canto M. M., Jaine F. R., Brodie J., Richardson A. J. (2015). Unique sequence of events triggers manta ray feeding frenzy in the Southern Great Barrier Reef, Australia. Remote Sens. 7, 3138–3152. doi: 10.3390/rs70303138

CrossRef Full Text | Google Scholar

Williams R., Lusseau D., Hammond P. S. (2006). Estimating relative energetic costs of human disturbance to killer whales (Orcinus orca). Biol. Conserv. 133, 301–311. doi: 10.1016/j.biocon.2006.06.010

CrossRef Full Text | Google Scholar

Wilson R. P., Quintana F., Hobson V. J. (2012). Construction of energy landscapes can clarify the movement and distribution of foraging animals. Proc. R. Soc. B: Biol. Sci. 279, 975–980. doi: 10.1098/rspb.2011.1544

CrossRef Full Text | Google Scholar

Keywords: energy expenditure, behaviour, manta ray, activity regime, habitat use

Citation: Newsome RJ, Grimmel HMV, Pouponeau DK, Moulinie EE, Andre AA and Bullock RW (2024) Eat-clean-repeat: reef manta rays (Mobula alfredi) undertake repetitive feeding-cleaning cycles at an aggregation site in Seychelles. Front. Mar. Sci. 11:1422655. doi: 10.3389/fmars.2024.1422655

Received: 24 April 2024; Accepted: 16 July 2024;
Published: 09 August 2024.

Edited by:

Brendan Shea, Beneath the Waves, Inc., United States

Reviewed by:

Yotam Barr, Tel Aviv University, Israel
Mark Erdmann, Conservation International, United States

Copyright © 2024 Newsome, Grimmel, Pouponeau, Moulinie, Andre and Bullock. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rachel J. Newsome, rachel.newsome@murdoch.edu.au

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.