1
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Gough WT, Cade DE, Czapanskiy MF, Potvin J, Fish FE, Kahane-Rapport SR, Savoca MS, Bierlich KC, Johnston DW, Friedlaender AS, Szabo A, Bejder L, Goldbogen JA. Fast and Furious: Energetic Tradeoffs and Scaling of High-Speed Foraging in Rorqual Whales. Integr Org Biol 2022; 4:obac038. [PMID: 36127894 PMCID: PMC9475666 DOI: 10.1093/iob/obac038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 07/30/2022] [Accepted: 08/21/2022] [Indexed: 11/20/2022] Open
Abstract
Although gigantic body size and obligate filter feeding mechanisms have evolved in multiple vertebrate lineages (mammals and fishes), intermittent ram (lunge) filter feeding is unique to a specific family of baleen whales: rorquals. Lunge feeding is a high cost, high benefit feeding mechanism that requires the integration of unsteady locomotion (i.e., accelerations and maneuvers); the impact of scale on the biomechanics and energetics of this foraging mode continues to be the subject of intense study. The goal of our investigation was to use a combination of multi-sensor tags paired with UAS footage to determine the impact of morphometrics such as body size on kinematic lunging parameters such as fluking timing, maximum lunging speed, and deceleration during the engulfment period for a range of species from minke to blue whales. Our results show that, in the case of krill-feeding lunges and regardless of size, animals exhibit a skewed gradient between powered and fully unpowered engulfment, with fluking generally ending at the point of both the maximum lunging speed and mouth opening. In all cases, the small amounts of propulsive thrust generated by the tail were unable to overcome the high drag forces experienced during engulfment. Assuming this thrust to be minimal, we predicted the minimum speed of lunging across scale. To minimize the energetic cost of lunge feeding, hydrodynamic theory predicts slower lunge feeding speeds regardless of body size, with a lower boundary set by the ability of the prey to avoid capture. We used empirical data to test this theory and instead found that maximum foraging speeds remain constant and high (∼4 m s–1) across body size, even as higher speeds result in lower foraging efficiency. Regardless, we found an increasing relationship between body size and this foraging efficiency, estimated as the ratio of energetic gain from prey to energetic cost. This trend held across timescales ranging from a single lunge to a single day and suggests that larger whales are capturing more prey—and more energy—at a lower cost.
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Affiliation(s)
- William T Gough
- Hopkins Marine Station, Stanford University , Pacific Grove, CA 94305, USA
| | - David E Cade
- Hopkins Marine Station, Stanford University , Pacific Grove, CA 94305, USA
| | - Max F Czapanskiy
- Hopkins Marine Station, Stanford University , Pacific Grove, CA 94305, USA
| | - Jean Potvin
- Saint Louis University , Saint Louis, MO 63103, USA
| | - Frank E Fish
- West Chester University , West Chester, PA 19383, USA
| | | | - Matthew S Savoca
- Hopkins Marine Station, Stanford University , Pacific Grove, CA 94305, USA
| | - K C Bierlich
- Oregon State University , Corvallis, OR 97331, USA
| | | | | | - Andy Szabo
- Alaska Whale Foundation , Sitka, AK, 99835, USA
| | - Lars Bejder
- Hawaii Institute of Marine Biology, University of Hawaii at Manoa , Kaheohe, HI 96822, USA
- Department of Bioscience, Aarhus University , Aarhus 8000, Denmark
| | - Jeremy A Goldbogen
- Hopkins Marine Station, Stanford University , Pacific Grove, CA 94305, USA
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2
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Fahlbusch JA, Czapanskiy MF, Calambokidis J, Cade DE, Abrahms B, Hazen EL, Goldbogen JA. Blue whales increase feeding rates at fine-scale ocean features. Proc Biol Sci 2022; 289:20221180. [PMID: 35975432 PMCID: PMC9382224 DOI: 10.1098/rspb.2022.1180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Marine predators face the challenge of reliably finding prey that is patchily distributed in space and time. Predators make movement decisions at multiple spatial and temporal scales, yet we have a limited understanding of how habitat selection at multiple scales translates into foraging performance. In the ocean, there is mounting evidence that submesoscale (i.e. less than 100 km) processes drive the formation of dense prey patches that should hypothetically provide feeding hot spots and increase predator foraging success. Here, we integrated environmental remote-sensing with high-resolution animal-borne biologging data to evaluate submesoscale surface current features in relation to the habitat selection and foraging performance of blue whales in the California Current System. Our study revealed a consistent functional relationship in which blue whales disproportionately foraged within dynamic aggregative submesoscale features at both the regional and feeding site scales across seasons, regions and years. Moreover, we found that blue whale feeding rates increased in areas with stronger aggregative features, suggesting that these features indicate areas of higher prey density. The use of fine-scale, dynamic features by foraging blue whales underscores the need to take these features into account when designating critical habitat and may help inform strategies to mitigate the impacts of human activities for the species.
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Affiliation(s)
- James A. Fahlbusch
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA,Cascadia Research Collective, Olympia, WA, USA
| | - Max F. Czapanskiy
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | | | - David E. Cade
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - Briana Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA, USA
| | - Elliott L. Hazen
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA,Environmental Research Division, NOAA Southwest Fisheries Science Center, Monterey, CA, USA
| | - Jeremy A. Goldbogen
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
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3
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Nazario EC, Cade DE, Bierlich K, Czapanskiy MF, Goldbogen JA, Kahane-Rapport SR, van der Hoop JM, San Luis MT, Friedlaender AS. Baleen whale inhalation variability revealed using animal-borne video tags. PeerJ 2022; 10:e13724. [PMID: 35880219 PMCID: PMC9308462 DOI: 10.7717/peerj.13724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 06/22/2022] [Indexed: 01/17/2023] Open
Abstract
Empirical metabolic rate and oxygen consumption estimates for free-ranging whales have been limited to counting respiratory events at the surface. Because these observations were limited and generally viewed from afar, variability in respiratory properties was unknown and oxygen consumption estimates assumed constant breath-to-breath tidal volume and oxygen uptake. However, evidence suggests that cetaceans in human care vary tidal volume and breathing frequency to meet aerobic demand, which would significantly impact energetic estimates if the findings held in free-ranging species. In this study, we used suction cup-attached video tags positioned posterior to the nares of two humpback whales (Megaptera novaeangliae) and four Antarctic minke whales (Balaenoptera bonaerensis) to measure inhalation duration, relative nares expansion, and maximum nares expansion. Inhalation duration and nares expansion varied between and within initial, middle, and terminal breaths of surface sequences between dives. The initial and middle breaths exhibited the least variability and had the shortest durations and smallest nares expansions. In contrast, terminal breaths were highly variable, with the longest inhalation durations and the largest nares expansions. Our results demonstrate breath-to-breath variability in duration and nares expansion, suggesting differential oxygen exchange in each breath during the surface interval. With future validation, inhalation duration or nares area could be used alongside respiratory frequency to improve oxygen consumption estimates by accounting for breath-to-breath variation in wild whales.
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Affiliation(s)
- Emily C. Nazario
- Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, United States of America
| | - David E. Cade
- Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, United States of America
| | - K.C. Bierlich
- Marine Mammal Institute, Hatfield Marine Science Center, Oregon State University, Newport, OR, United States of America
| | - Max F. Czapanskiy
- Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, United States of America
| | - Jeremy A. Goldbogen
- Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, United States of America
| | - Shirel R. Kahane-Rapport
- Department of Biological Science, California State University, Fullerton, Fullerton, CA, United States of America
| | | | - Merceline T. San Luis
- Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, United States of America
| | - Ari S. Friedlaender
- Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States of America
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4
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Czapanskiy MF, Beltran RS. How Reproducibility Will Accelerate Discovery Through Collaboration in Physio-Logging. Front Physiol 2022; 13:917976. [PMID: 35874548 PMCID: PMC9304648 DOI: 10.3389/fphys.2022.917976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/16/2022] [Indexed: 11/22/2022] Open
Abstract
What new questions could ecophysiologists answer if physio-logging research was fully reproducible? We argue that technical debt (computational hurdles resulting from prioritizing short-term goals over long-term sustainability) stemming from insufficient cyberinfrastructure (field-wide tools, standards, and norms for analyzing and sharing data) trapped physio-logging in a scientific silo. This debt stifles comparative biological analyses and impedes interdisciplinary research. Although physio-loggers (e.g., heart rate monitors and accelerometers) opened new avenues of research, the explosion of complex datasets exceeded ecophysiology’s informatics capacity. Like many other scientific fields facing a deluge of complex data, ecophysiologists now struggle to share their data and tools. Adapting to this new era requires a change in mindset, from “data as a noun” (e.g., traits, counts) to “data as a sentence”, where measurements (nouns) are associate with transformations (verbs), parameters (adverbs), and metadata (adjectives). Computational reproducibility provides a framework for capturing the entire sentence. Though usually framed in terms of scientific integrity, reproducibility offers immediate benefits by promoting collaboration between individuals, groups, and entire fields. Rather than a tax on our productivity that benefits some nebulous greater good, reproducibility can accelerate the pace of discovery by removing obstacles and inviting a greater diversity of perspectives to advance science and society. In this article, we 1) describe the computational challenges facing physio-logging scientists and connect them to the concepts of technical debt and cyberinfrastructure, 2) demonstrate how other scientific fields overcame similar challenges by embracing computational reproducibility, and 3) present a framework to promote computational reproducibility in physio-logging, and bio-logging more generally.
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Affiliation(s)
- Max F. Czapanskiy
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, United States
- *Correspondence: Max F. Czapanskiy,
| | - Roxanne S. Beltran
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, United States
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5
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Czapanskiy MF, Ponganis PJ, Fahlbusch JA, Schmitt TL, Goldbogen JA. An accelerometer-derived ballistocardiogram method for detecting heartrates in free-ranging marine mammals. J Exp Biol 2022; 225:275276. [PMID: 35502794 PMCID: PMC9167577 DOI: 10.1242/jeb.243872] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 04/28/2022] [Indexed: 11/24/2022]
Abstract
Physio-logging methods, which use animal-borne devices to record physiological variables, are entering a new era driven by advances in sensor development. However, existing datasets collected with traditional bio-loggers, such as accelerometers, still contain untapped eco-physiological information. Here, we present a computational method for extracting heart rate from high-resolution accelerometer data using a ballistocardiogram. We validated our method with simultaneous accelerometer–electrocardiogram tag deployments in a controlled setting on a killer whale (Orcinus orca) and demonstrate the predictions correspond with previously observed cardiovascular patterns in a blue whale (Balaenoptera musculus), including the magnitude of apneic bradycardia and increase in heart rate prior to and during ascent. Our ballistocardiogram method may be applied to mine heart rates from previously collected accelerometery data and expand our understanding of comparative cardiovascular physiology. Highlighted Article: Validation of a computational method for extracting heart rate in free-ranging cetaceans from high-resolution accelerometer data using a ballistocardiogram.
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Affiliation(s)
- Max F Czapanskiy
- Hopkins Marine Station, Department of Biology, Stanford University, USA
| | - Paul J Ponganis
- Scripps Institution of Oceanography, University of California San Diego, USA
| | - James A Fahlbusch
- Hopkins Marine Station, Department of Biology, Stanford University, USA
| | - T L Schmitt
- Animal Health Department, SeaWorld of California, USA
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6
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Segre PS, Gough WT, Roualdes EA, Cade DE, Czapanskiy MF, Fahlbusch J, Kahane-Rapport SR, Oestreich WK, Bejder L, Bierlich KC, Burrows JA, Calambokidis J, Chenoweth EM, di Clemente J, Durban JW, Fearnbach H, Fish FE, Friedlaender AS, Hegelund P, Johnston DW, Nowacek DP, Oudejans MG, Penry GS, Potvin J, Simon M, Stanworth A, Straley JM, Szabo A, Videsen SKA, Visser F, Weir CR, Wiley DN, Goldbogen JA. Scaling of maneuvering performance in baleen whales: larger whales outperform expectations. J Exp Biol 2022; 225:274595. [PMID: 35234874 PMCID: PMC8976943 DOI: 10.1242/jeb.243224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 01/17/2022] [Indexed: 11/20/2022]
Abstract
Despite their enormous size, whales make their living as voracious predators. To catch their much smaller, more maneuverable prey, they have developed several unique locomotor strategies that require high energetic input, high mechanical power output and a surprising degree of agility. To better understand how body size affects maneuverability at the largest scale, we used bio-logging data, aerial photogrammetry and a high-throughput approach to quantify the maneuvering performance of seven species of free-swimming baleen whale. We found that as body size increases, absolute maneuvering performance decreases: larger whales use lower accelerations and perform slower pitch-changes, rolls and turns than smaller species. We also found that baleen whales exhibit positive allometry of maneuvering performance: relative to their body size, larger whales use higher accelerations, and perform faster pitch-changes, rolls and certain types of turns than smaller species. However, not all maneuvers were impacted by body size in the same way, and we found that larger whales behaviorally adjust for their decreased agility by using turns that they can perform more effectively. The positive allometry of maneuvering performance suggests that large whales have compensated for their increased body size by evolving more effective control surfaces and by preferentially selecting maneuvers that play to their strengths.
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Affiliation(s)
- Paolo S Segre
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | - William T Gough
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | - Edward A Roualdes
- Department of Mathematics and Statistics, California State University, Chico, Chico, CA 95929, USA
| | - David E Cade
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA.,Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Max F Czapanskiy
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | - James Fahlbusch
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA.,Cascadia Research Collective, Olympia, WA 98501, USA
| | - Shirel R Kahane-Rapport
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA.,Department of Biological Science, California State University, Fullerton, Fullerton, CA 92834, USA
| | | | - Lars Bejder
- Marine Mammal Research Program, Hawaii Institute of Marine Biology, University of Hawaii at Manoa, Kaneohe, HI 96744, USA.,Zoophysiology, Department of Bioscience, Aarhus University, 8000 Aarhus C, Denmark
| | - K C Bierlich
- Division of Marine Science and Conservation, Duke University Marine Laboratory, Beaufort, NC 28516, USA.,Marine Mammal Institute, Hatfield Marine Science Center, Oregon State University, Newport, OR 97365, USA
| | - Julia A Burrows
- Division of Marine Science and Conservation, Duke University Marine Laboratory, Beaufort, NC 28516, USA.,Stanford University, Stanford, CA 94305, USA
| | | | - Ellen M Chenoweth
- University of Alaska Fairbanks, Fairbanks, AK 99775, USA.,Department of Natural Sciences, University of Alaska Southeast, AK 99835, USA
| | - Jacopo di Clemente
- Marine Mammal Research, Department of Ecoscience, Aarhus University, 8000 Aarhus C, Denmark.,Department of Biology, University of Copenhagen, 2200 Copenhagen N, Denmark.,Department of Biology, University of Southern Denmark, 5230 Odense M, Denmark
| | - John W Durban
- Southall Environmental Associates, Inc., Aptos, CA 95003, USA
| | - Holly Fearnbach
- SR3, SeaLife Response, Rehabilitation and Research, Des Moines, WA 98198, USA
| | - Frank E Fish
- Department of Biology, West Chester University, PA 19383, USA
| | - Ari S Friedlaender
- Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Peter Hegelund
- Greenland Climate Research Centre, Greenland Institute of Natural Resources, Nuuk 3900, Greenland
| | - David W Johnston
- Division of Marine Science and Conservation, Duke University Marine Laboratory, Beaufort, NC 28516, USA
| | - Douglas P Nowacek
- Nicholas School of the Environment and Pratt School of Engineering, Duke University Marine Lab, Beaufort, NC 28516, USA
| | | | - Gwenith S Penry
- Institute for Coastal and Marine Research, Nelson Mandela University, Gqeberha 6031, South Africa
| | - Jean Potvin
- Department of Physics, Saint Louis University, St Louis, MO 63103, USA
| | - Malene Simon
- Greenland Climate Research Centre, Greenland Institute of Natural Resources, Nuuk 3900, Greenland
| | | | - Janice M Straley
- Department of Natural Sciences, University of Alaska Southeast, AK 99835, USA
| | - Andrew Szabo
- Alaska Whale Foundation, Petersburg, AK 99833, USA
| | - Simone K A Videsen
- Zoophysiology, Department of Bioscience, Aarhus University, 8000 Aarhus C, Denmark
| | - Fleur Visser
- Kelp Marine Research, 1624 CJ Hoorn, The Netherlands.,Department of Freshwater and Marine Ecology, IBED, University of Amsterdam, 1090 GE Amsterdam, The Netherlands.,Department of Coastal Systems, Royal Netherlands Institute for Sea Research, Texel, 1790 AB Den Burg, The Netherlands
| | | | - David N Wiley
- NOAA/Stellwagen Bank National Marine Sanctuary, Scituate, MA 02066, USA
| | - Jeremy A Goldbogen
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
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7
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Beltran RS, Yuen AL, Condit R, Robinson PW, Czapanskiy MF, Crocker DE, Costa DP. Elephant seals time their long-distance migrations using a map sense. Curr Biol 2022; 32:R156-R157. [DOI: 10.1016/j.cub.2022.01.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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8
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Savoca MS, Czapanskiy MF, Kahane-Rapport SR, Gough WT, Fahlbusch JA, Bierlich KC, Segre PS, Di Clemente J, Penry GS, Wiley DN, Calambokidis J, Nowacek DP, Johnston DW, Pyenson ND, Friedlaender AS, Hazen EL, Goldbogen JA. Baleen whale prey consumption based on high-resolution foraging measurements. Nature 2021; 599:85-90. [PMID: 34732868 DOI: 10.1038/s41586-021-03991-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 09/01/2021] [Indexed: 11/09/2022]
Abstract
Baleen whales influence their ecosystems through immense prey consumption and nutrient recycling1-3. It is difficult to accurately gauge the magnitude of their current or historic ecosystem role without measuring feeding rates and prey consumed. To date, prey consumption of the largest species has been estimated using metabolic models3-9 based on extrapolations that lack empirical validation. Here, we used tags deployed on seven baleen whale (Mysticeti) species (n = 321 tag deployments) in conjunction with acoustic measurements of prey density to calculate prey consumption at daily to annual scales from the Atlantic, Pacific, and Southern Oceans. Our results suggest that previous studies3-9 have underestimated baleen whale prey consumption by threefold or more in some ecosystems. In the Southern Ocean alone, we calculate that pre-whaling populations of mysticetes annually consumed 430 million tonnes of Antarctic krill (Euphausia superba), twice the current estimated total biomass of E. superba10, and more than twice the global catch of marine fisheries today11. Larger whale populations may have supported higher productivity in large marine regions through enhanced nutrient recycling: our findings suggest mysticetes recycled 1.2 × 104 tonnes iron yr-1 in the Southern Ocean before whaling compared to 1.2 × 103 tonnes iron yr-1 recycled by whales today. The recovery of baleen whales and their nutrient recycling services2,3,7 could augment productivity and restore ecosystem function lost during 20th century whaling12,13.
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Affiliation(s)
- Matthew S Savoca
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA.
| | - Max F Czapanskiy
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA
| | | | - William T Gough
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA
| | - James A Fahlbusch
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA.,Cascadia Research Collective, Olympia, WA, USA
| | - K C Bierlich
- Duke University Marine Laboratory, Duke University, Beaufort, NC, USA.,Marine Mammal Institute, Hatfield Marine Science Center, Oregon State University, Newport, OR, USA
| | - Paolo S Segre
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA
| | - Jacopo Di Clemente
- Department of Biology, University of Copenhagen, Copenhagen, Denmark.,Department of Biology, University of Southern Denmark, Odense, Denmark.,Department of Bioscience, Aarhus University, Aarhus, Denmark
| | - Gwenith S Penry
- Institute for Coastal and Marine Research, Nelson Mandela University, Port Elizabeth, South Africa
| | - David N Wiley
- Stellwagen Bank National Marine Sanctuary, NOAA National Ocean Service, Scituate, MA, USA
| | | | - Douglas P Nowacek
- Duke University Marine Laboratory, Duke University, Beaufort, NC, USA
| | - David W Johnston
- Duke University Marine Laboratory, Duke University, Beaufort, NC, USA
| | - Nicholas D Pyenson
- Department of Paleobiology, National Museum of Natural History, Washington, DC, USA.,Department of Paleontology and Geology, Burke Museum of Natural History and Culture, Seattle, WA, USA
| | - Ari S Friedlaender
- Long Marine Laboratory, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Elliott L Hazen
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA.,Long Marine Laboratory, University of California, Santa Cruz, Santa Cruz, CA, USA.,Environmental Research Division, NOAA Southwest Fisheries Science Center, Monterey, CA, USA
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9
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Czapanskiy MF, Savoca MS, Gough WT, Segre PS, Wisniewska DM, Cade DE, Goldbogen JA. Modelling short‐term energetic costs of sonar disturbance to cetaceans using high‐resolution foraging data. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13903] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Max F. Czapanskiy
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - Matthew S. Savoca
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - William T. Gough
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - Paolo S. Segre
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
| | - Danuta M. Wisniewska
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
- Centre d'Etudes Biologiques de Chizé CNRS‐Université de La Rochelle Villiers‐en‐Bois France
| | - David E. Cade
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
- Institute of Marine Sciences University of California Santa Cruz CA USA
| | - Jeremy A. Goldbogen
- Hopkins Marine Station Department of Biology Stanford University Pacific Grove CA USA
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10
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Gough WT, Smith HJ, Savoca MS, Czapanskiy MF, Fish FE, Potvin J, Bierlich KC, Cade DE, Di Clemente J, Kennedy J, Segre P, Stanworth A, Weir C, Goldbogen JA. Scaling of oscillatory kinematics and Froude efficiency in baleen whales. J Exp Biol 2021; 224:269076. [PMID: 34109418 PMCID: PMC8317509 DOI: 10.1242/jeb.237586] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 06/03/2021] [Indexed: 11/20/2022]
Abstract
High efficiency lunate-tail swimming with high-aspect-ratio lifting surfaces has evolved in many vertebrate lineages, from fish to cetaceans. Baleen whales (Mysticeti) are the largest swimming animals that exhibit this locomotor strategy, and present an ideal study system to examine how morphology and the kinematics of swimming scale to the largest body sizes. We used data from whale-borne inertial sensors coupled with morphometric measurements from aerial drones to calculate the hydrodynamic performance of oscillatory swimming in six baleen whale species ranging in body length from 5 to 25 m (fin whale, Balaenoptera physalus; Bryde's whale, Balaenoptera edeni; sei whale, Balaenoptera borealis; Antarctic minke whale, Balaenoptera bonaerensis; humpback whale, Megaptera novaeangliae; and blue whale, Balaenoptera musculus). We found that mass-specific thrust increased with both swimming speed and body size. Froude efficiency, defined as the ratio of useful power output to the rate of energy input ( Sloop, 1978), generally increased with swimming speed but decreased on average with increasing body size. This finding is contrary to previous results in smaller animals, where Froude efficiency increased with body size. Although our empirically parameterized estimates for swimming baleen whale drag were higher than those of a simple gliding model, oscillatory locomotion at this scale exhibits generally high Froude efficiency as in other adept swimmers. Our results quantify the fine-scale kinematics and estimate the hydrodynamics of routine and energetically expensive swimming modes at the largest scale.
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Affiliation(s)
- William T Gough
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | - Hayden J Smith
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA.,Department of Physics, Southwestern University, Georgetown, TX 78626, USA
| | - Matthew S Savoca
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | - Max F Czapanskiy
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | - Frank E Fish
- Department of Biology, West Chester University, West Chester, PA 19383, USA
| | - Jean Potvin
- Department of Physics, Saint Louis University, Saint Louis, MO 63103, USA
| | - K C Bierlich
- Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
| | - David E Cade
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA.,Long Marine Laboratory, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - John Kennedy
- Department of Physics, Saint Louis University, Saint Louis, MO 63103, USA
| | - Paolo Segre
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
| | | | - Caroline Weir
- Falklands Conservation, Stanley FIQQ 1ZZ, Falkland Islands
| | - Jeremy A Goldbogen
- Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA
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11
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Williams CL, Czapanskiy MF, John JS, St Leger J, Scadeng M, Ponganis PJ. Cervical air sac oxygen profiles in diving emperor penguins: parabronchial ventilation and the respiratory oxygen store. J Exp Biol 2021; 224:jeb230219. [PMID: 33257430 DOI: 10.1242/jeb.230219] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 11/18/2020] [Indexed: 11/20/2022]
Abstract
Some marine birds and mammals can perform dives of extraordinary duration and depth. Such dive performance is dependent on many factors, including total body oxygen (O2) stores. For diving penguins, the respiratory system (air sacs and lungs) constitutes 30-50% of the total body O2 store. To better understand the role and mechanism of parabronchial ventilation and O2 utilization in penguins both on the surface and during the dive, we examined air sac partial pressures of O2 (PO2 ) in emperor penguins (Aptenodytes forsteri) equipped with backpack PO2 recorders. Cervical air sac PO2 values at rest were lower than in other birds, while the cervical air sac to posterior thoracic air sac PO2 difference was larger. Pre-dive cervical air sac PO2 values were often greater than those at rest, but had a wide range and were not significantly different from those at rest. The maximum respiratory O2 store and total body O2 stores calculated with representative anterior and posterior air sac PO2 data did not differ from prior estimates. The mean calculated anterior air sac O2 depletion rate for dives up to 11 min was approximately one-tenth that of the posterior air sacs. Low cervical air sac PO2 values at rest may be secondary to a low ratio of parabronchial ventilation to parabronchial blood O2 extraction. During dives, overlap of simultaneously recorded cervical and posterior thoracic air sac PO2 profiles supported the concept of maintenance of parabronchial ventilation during a dive by air movement through the lungs.
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Affiliation(s)
- Cassondra L Williams
- National Marine Mammal Foundation, 2240 Shelter Island Dr. #200, San Diego, CA 92106, USA
| | - Max F Czapanskiy
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA 93950, USA
| | - Jason S John
- Center for Ocean Health, Long Marine Laboratory, University of California, Santa Cruz, 115 McAlister Way, Santa Cruz, CA 95060, USA
| | - Judy St Leger
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093-0204, USA
| | - Miriam Scadeng
- Department of Anatomy and Medical Imaging, Faculty of Health and Medical Sciences, University of Auckland, Auckland 1142, New Zealand
- Center for Functional Magnetic Resonance Imaging, University of California, San Diego, La Jolla, CA 92093, USA
| | - Paul J Ponganis
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093-0204, USA
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12
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Goldbogen JA, Cade DE, Wisniewska DM, Potvin J, Segre PS, Savoca MS, Hazen EL, Czapanskiy MF, Kahane-Rapport SR, DeRuiter SL, Gero S, Tønnesen P, Gough WT, Hanson MB, Holt MM, Jensen FH, Simon M, Stimpert AK, Arranz P, Johnston DW, Nowacek DP, Parks SE, Visser F, Friedlaender AS, Tyack PL, Madsen PT, Pyenson ND. Why whales are big but not bigger: Physiological drivers and ecological limits in the age of ocean giants. Science 2020; 366:1367-1372. [PMID: 31831666 DOI: 10.1126/science.aax9044] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 10/31/2019] [Indexed: 12/27/2022]
Abstract
The largest animals are marine filter feeders, but the underlying mechanism of their large size remains unexplained. We measured feeding performance and prey quality to demonstrate how whale gigantism is driven by the interplay of prey abundance and harvesting mechanisms that increase prey capture rates and energy intake. The foraging efficiency of toothed whales that feed on single prey is constrained by the abundance of large prey, whereas filter-feeding baleen whales seasonally exploit vast swarms of small prey at high efficiencies. Given temporally and spatially aggregated prey, filter feeding provides an evolutionary pathway to extremes in body size that are not available to lineages that must feed on one prey at a time. Maximum size in filter feeders is likely constrained by prey availability across space and time.
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Affiliation(s)
- J A Goldbogen
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA.
| | - D E Cade
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - D M Wisniewska
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - J Potvin
- Department of Physics, Saint Louis University, St. Louis, MO, USA
| | - P S Segre
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - M S Savoca
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - E L Hazen
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA.,Environmental Research Division, National Oceanic and Atmospheric Administration, Southwest Fisheries Science Center, Monterey, CA, USA.,Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - M F Czapanskiy
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - S R Kahane-Rapport
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - S L DeRuiter
- Mathematics and Statistics Department, Calvin University, Grand Rapids, MI, USA
| | - S Gero
- Zoophysiology, Department of Bioscience, Aarhus University, Aarhus, Denmark
| | - P Tønnesen
- Zoophysiology, Department of Bioscience, Aarhus University, Aarhus, Denmark
| | - W T Gough
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - M B Hanson
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - M M Holt
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - F H Jensen
- Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
| | - M Simon
- Greenland Climate Research Centre, Greenland Institute of Natural Resources, Nuuk, Greenland
| | - A K Stimpert
- Moss Landing Marine Laboratories, Moss Landing, CA, USA
| | - P Arranz
- Biodiversity, Marine Ecology and Conservation Group, Department of Animal Biology, University of La Laguna, La Laguna, Spain
| | - D W Johnston
- Nicholas School of the Environment, Duke University Marine Laboratory, Beaufort, NC, USA
| | - D P Nowacek
- Pratt School of Engineering, Duke University, Durham, NC, USA
| | - S E Parks
- Department of Biology, Syracuse University, Syracuse, NY, USA
| | - F Visser
- Department of Freshwater and Marine Ecology, IBED, University of Amsterdam, Amsterdam, Netherlands.,Department of Coastal Systems, NIOZ and Utrecht University, Utrecht, Netherlands.,Kelp Marine Research, Hoorn, Netherlands
| | - A S Friedlaender
- Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - P L Tyack
- Sea Mammal Research Unit, School of Biology, Scottish Oceans Institute, University of St Andrews, St Andrews, UK
| | - P T Madsen
- Zoophysiology, Department of Bioscience, Aarhus University, Aarhus, Denmark.,Aarhus Institute of Advanced Studies, Aarhus University, DK-8000 Aarhus C, Denmark
| | - N D Pyenson
- Department of Paleobiology, National Museum of Natural History, Washington, DC, USA.,Department of Paleontology and Geology, Burke Museum of Natural History and Culture, Seattle, WA, USA
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