in

Oceanographic anomalies coinciding with humpback whale super-group occurrences in the Southern Benguela

  • 1.

    Dawbin, W. H. The migrations of humpback whales which pass the New Zealand coast. Trans. R. Soc. New Zeal. 84, 147–196 (1956).

    Google Scholar 

  • 2.

    Chittleborough, R. Dynamics of two populations of the humpback whale, Megaptera novaeangliae (Borowski). Mar. Freshw. Res. 16, 33–128. https://doi.org/10.1071/mf9650033 (1965).

    Article 

    Google Scholar 

  • 3.

    Rasmussen, K. et al. Southern Hemisphere humpback whales wintering off Central America: Insights from water temperature into the longest mammalian migration. Biol. Let. 3, 302–305. https://doi.org/10.1098/rsbl.2007.0067 (2007).

    Article 

    Google Scholar 

  • 4.

    Friedlaender, A. S. et al. Whale distribution in relation to prey abundance and oceanographic processes in shelf waters of the Western Antarctic Peninsula. Mar. Ecol. Prog. Ser. 317, 297–310. https://doi.org/10.3354/meps317297 (2006).

    ADS 
    Article 

    Google Scholar 

  • 5.

    Nowacek, D. P. et al. Super-aggregations of krill and humpback whales in Wilhelmina Bay Antarctic Peninsula. PLoS ONE 6, e19173. https://doi.org/10.1371/journal.pone.0019173 (2011).

    ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • 6.

    Barendse, J. et al. Transit station or destination? Attendance patterns, movements and abundance estimate of humpback whales off west South Africa from photographic and genotypic matching. Afr. J. Mar. Sci. 33, 353–373. https://doi.org/10.2989/1814232X.2011.637343 (2011).

    Article 

    Google Scholar 

  • 7.

    Best, P. B., Sekiguchi, K. & Findlay, K. P. A suspended migration of humpback whales Megaptera novaeangliae on the west coast of South Africa. Marine Ecol. Progr. Ser. Oldendorf 118, 1–12. https://doi.org/10.3354/meps118001 (1995).

    ADS 
    Article 

    Google Scholar 

  • 8.

    Findlay, K. & Best, P. Summer incidence of humpback whales on the west coast of South Africa. S. Afr. J. Mar. Sci. 15, 279–282. https://doi.org/10.2989/02577619509504851 (1995).

    Article 

    Google Scholar 

  • 9.

    Findlay, K. P. et al. Humpback whale “super-groups”–A novel low-latitude feeding behaviour of Southern Hemisphere humpback whales (Megaptera novaeangliae) in the Benguela Upwelling System. PLoS ONE 12, e0172002. https://doi.org/10.1371/journal.pone.0172002 (2017).

    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • 10.

    Pirotta, V., Owen, K., Donnelly, D., Brasier, M. J. & Harcourt, R. First evidence of bubble‐net feeding and the formation of ‘super‐groups’ by the east Australian population of humpback whales during their southward migration. Aquat. Conserv. (2021).

  • 11.

    Veitch, J., Penven, P. & Shillington, F. The Benguela: A laboratory for comparative modeling studies. Prog. Oceanogr. 83, 296–302. https://doi.org/10.1016/j.pocean.2009.07.008 (2009).

    ADS 
    Article 

    Google Scholar 

  • 12.

    Preston-Whyte, R. A. & Tyson, P. D. Atmosphere and weather of southern Africa (Oxford University Press, 1988).

    Google Scholar 

  • 13.

    Nemoto, T., Best, P., Ishimaru, K. & Takano, H. Diatom films on whales [minke whales and 4 species of toothed whales] in South African waters. Scientific Reports of the Whales Research Institute (1980).

  • 14.

    Hutchings, L., Pitcher, G., Probyn, T. & Bailey, G. in Upwelling in the ocean: modern processes and ancient records Vol. 18 (eds CP Summerhayes et al.) Ch. 3, 65–81 (Wiley & Sons, 1995).

  • 15.

    Clapham, P. J. in Encyclopedia of marine mammals (eds B Würsig, JGM Thewissen, & KM Kovacs) 489–492 (Academic Press, 2018).

  • 16.

    Bakun, A. et al. Anticipated effects of climate change on coastal upwelling ecosystems. Curr. Clim. Change Rep. 1, 85–93. https://doi.org/10.1007/s40641-015-0008-4 (2015).

    Article 

    Google Scholar 

  • 17.

    Mackas, D. L. & Beaugrand, G. Comparisons of zooplankton time series. J. Mar. Syst. 79, 286–304. https://doi.org/10.1016/j.jmarsys.2008.11.030 (2010).

    Article 

    Google Scholar 

  • 18.

    Mackas, D. et al. Changing zooplankton seasonality in a changing ocean: Comparing time series of zooplankton phenology. Prog. Oceanogr. 97, 31–62. https://doi.org/10.1016/j.pocean.2011.11.005 (2012).

    ADS 
    Article 

    Google Scholar 

  • 19.

    Huggett, J., Verheye, H., Escribano, R. & Fairweather, T. Copepod biomass, size composition and production in the Southern Benguela: Spatio–temporal patterns of variation, and comparison with other eastern boundary upwelling systems. Prog. Oceanogr. 83, 197–207. https://doi.org/10.1016/j.pocean.2009.07.048 (2009).

    ADS 
    Article 

    Google Scholar 

  • 20.

    Verheye, H. M., Lamont, T., Huggett, J. A., Kreiner, A. & Hampton, I. Plankton productivity of the Benguela current large marine ecosystem (BCLME). Environ. Dev. 17, 75–92. https://doi.org/10.1016/j.envdev.2015.07.011 (2016).

    Article 

    Google Scholar 

  • 21.

    Shannon, L. J. et al. Exploring temporal variability in the Southern Benguela ecosystem over the past four decades using a time-dynamic ecosystem model. Front. Mar. Sci. 7, 540 (2020).

    ADS 
    Article 

    Google Scholar 

  • 22.

    Jarre, A. et al. Synthesis: climate effects on biodiversity, abundance and distribution of marine organisms in the Benguela. Fish. Oceanogr. 24, 122–149. https://doi.org/10.1111/fog.12086 (2015).

    Article 

    Google Scholar 

  • 23.

    Lamont, T., García-Reyes, M., Bograd, S., Van Der Lingen, C. & Sydeman, W. Upwelling indices for comparative ecosystem studies: Variability in the Benguela Upwelling System. J. Mar. Syst. 188, 3–16. https://doi.org/10.1016/j.jmarsys.2017.05.007 (2018).

    Article 

    Google Scholar 

  • 24.

    Tim, N., Zorita, E. & Hünicke, B. Decadal variability and trends of the Benguela upwelling system as simulated in a high-resolution ocean simulation. Ocean Sci. 11, 483–502. https://doi.org/10.5194/os-11-483-2015 (2015).

    ADS 
    Article 

    Google Scholar 

  • 25.

    Lamont, T., Barlow, R. & Brewin, R. Long-term trends in phytoplankton chlorophyll a and size structure in the Benguela Upwelling System. J. Geophys. Res. Oceans 124, 1170–1195. https://doi.org/10.1029/2018JC014334 (2019).

    ADS 
    Article 

    Google Scholar 

  • 26.

    Ragoasha, N. et al. Lagrangian pathways in the southern Benguela upwelling system. J. Mar. Syst. 195, 50–66. https://doi.org/10.1016/j.jmarsys.2019.03.008 (2019).

    Article 

    Google Scholar 

  • 27.

    Shannon, V., Hempel, G., Moloney, C., Woods, J. D. & Malanotte-Rizzoli, P. Benguela: Predicting a Large Marine Ecosystem (Elsevier, 2006).

    Google Scholar 

  • 28.

    Veitch, J., Penven, P. & Shillington, F. Modeling equilibrium dynamics of the Benguela current system. J. Phys. Oceanogr. 40, 1942–1964. https://doi.org/10.1175/2010jpo4382.1 (2010).

    ADS 
    Article 

    Google Scholar 

  • 29.

    Lachkar, Z. & Gruber, N. A comparative study of biological production in eastern boundary upwelling systems using an artificial neural network. Biogeosciences 9, 293–308. https://doi.org/10.5194/bg-9-293-2012 (2012).

    ADS 
    Article 

    Google Scholar 

  • 30.

    Gruber, N. et al. Eddy-induced reduction of biological production in eastern boundary upwelling systems. Nat. Geosci. 4, 787–792. https://doi.org/10.1038/ngeo1273 (2011).

    ADS 
    CAS 
    Article 

    Google Scholar 

  • 31.

    Hutchings, L. et al. Multiple factors affecting South African anchovy recruitment in the spawning, transport and nursery areas. S. Afr. J. Mar. Sci. 19, 211–225. https://doi.org/10.2989/025776198784126908 (1998).

    Article 

    Google Scholar 

  • 32.

    Rossi, V., López, C., Sudre, J., Hernández-García, E. & Garçon, V. Comparative study of mixing and biological activity of the Benguela and Canary upwelling systems. Geophys. Res. Lett. https://doi.org/10.1029/2008gl033610 (2008).

    Article 

    Google Scholar 

  • 33.

    Barendse, J. & Best, P. B. Shore-based observations of seasonality, movements, and group behavior of southern right whales in a nonnursery area on the South African west coast. Mar. Mamm. Sci. 30, 1358–1382 (2014).

    Article 

    Google Scholar 

  • 34.

    Barendse, J. et al. Migration redefined? Seasonality, movements and group composition of humpback whales Megaptera novaeangliae off the west coast of South Africa. Afr. J. Mar. Sci. 32, 1–22 (2010).

    Article 

    Google Scholar 

  • 35.

    Gibbons, M. J. An introduction to the Zooplankton of the Benguella current Region. (1997).

  • 36.

    Olsen, Ø. Hvaler og hvalfangst i Sydafrika. 1–56 (Bergens Museums Arbok 1914–1915, 1914).

  • 37.

    Meynecke, J. O. et al. Responses of humpback whales to a changing climate in the Southern Hemisphere: Priorities for research efforts. Mar. Ecol. 41, e12616 (2020).

    Article 

    Google Scholar 

  • 38.

    Stockin, K. A. & Burgess, E. A. Opportunistic Feeding of an Adult Humpback Whale (Megaptera novaeangliae) Migrating Along the Coast of Southeastern Queensland, Australia. Aquat. Mamm. 31, 120. https://doi.org/10.1578/AM.31.1.2005.120 (2005).

    Article 

    Google Scholar 

  • 39.

    Visser, F., Hartman, K. L., Pierce, G. J., Valavanis, V. D. & Huisman, J. Timing of migratory baleen whales at the Azores in relation to the North Atlantic spring bloom. Mar. Ecol. Prog. Ser. 440, 267–279. https://doi.org/10.3354/meps09349 (2011).

    ADS 
    Article 

    Google Scholar 

  • 40.

    Trudelle, L. et al. Influence of environmental parameters on movements and habitat utilization of humpback whales (Megaptera novaeangliae) in the Madagascar breeding ground. R. Soc. Open Sci. 3, 160616. https://doi.org/10.1098/rsos.160616 (2016).

    ADS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • 41.

    Veitch, J., Hermes, J., Lamont, T., Penven, P. & Dufois, F. Shelf-edge jet currents in the southern Benguela: A modelling approach. J. Mar. Syst. 188, 27–38 (2018).

    Article 

    Google Scholar 

  • 42.

    Hutchings, L. et al. The Benguela current: An ecosystem of four components. Prog. Oceanogr. 83, 15–32. https://doi.org/10.1016/j.pocean.2009.07.046 (2009).

    ADS 
    Article 

    Google Scholar 

  • 43.

    Rockwood, R. C., Elliott, M. L., Saenz, B., Nur, N. & Jahncke, J. Modeling predator and prey hotspots: Management implications of baleen whale co-occurrence with krill in Central California. PLoS ONE 15, e0235603 (2020).

    CAS 
    Article 

    Google Scholar 

  • 44.

    Hayward, T. L. & Venrick, E. L. Nearsurface pattern in the California Current: Coupling between physical and biological structure. Deep Sea Res. Part II 45, 1617–1638 (1998).

    ADS 
    Article 

    Google Scholar 

  • 45.

    Croll, D. A. et al. From wind to whales: trophic links in a coastal upwelling system. Mar. Ecol. Prog. Ser. 289, 117–130 (2005).

    ADS 
    Article 

    Google Scholar 

  • 46.

    Walker, D. & Peterson, W. Relationships between hydrography, phytoplankton production, biomass, cell size and species composition, and copepod production in the southern Benguela upwelling system in April 1988. S. Afr. J. Mar. Sci. 11, 289–305 (1991).

    Article 

    Google Scholar 

  • 47.

    Stuart, V. & Pillar, S. Diel grazing patterns of all ontogenetic stages of Euphausia lucens and in situ predation rates on copepods in the southern Benguela upwelling region. Mar. Ecol. Progr. Ser. 2, 227–241 (1990).

    ADS 
    Article 

    Google Scholar 

  • 48.

    Clapham, P. & Baker, C. (Academic, New York, 2002).

  • 49.

    Shannon, L. J., Field, J. G. & Moloney, C. L. Simulating anchovy–sardine regime shifts in the southern Benguela ecosystem. Ecol. Model. 172, 269–281 (2004).

    Article 

    Google Scholar 

  • 50.

    Lett, C., Roy, C., Levasseur, A., Van Der Lingen, C. D. & Mullon, C. Simulation and quantification of enrichment and retention processes in the southern Benguela upwelling ecosystem. Fish. Oceanogr. 15, 363–372. https://doi.org/10.1111/j.1365-2419.2005.00392.x (2006).

    Article 

    Google Scholar 

  • 51.

    Branch, T. A. Humpback whale abundance south of 60°S from three complete circumpolar sets of surveys. J. Cetacean Res. Manage. https://doi.org/10.47536/jcrm.vi.305 (2011).

    Article 

    Google Scholar 

  • 52.

    Findlay, K., Best, P. & Meÿer, M. Migrations of humpback whales past Cape Vidal, South Africa, and an estimate of the population increase rate (1988–2002). Afr. J. Mar. Sci. 33, 375–392. https://doi.org/10.2989/1814232x.2011.637345 (2011).

    Article 

    Google Scholar 

  • 53.

    Henson, S. A., Cole, H. S., Hopkins, J., Martin, A. P. & Yool, A. Detection of climate change-driven trends in phytoplankton phenology. Glob. Change Biol. 24, e101–e111 (2018).

    ADS 
    Article 

    Google Scholar 

  • 54.

    Carvalho, I. et al. Does temporal and spatial segregation explain the complex population structure of humpback whales on the coast of West Africa?. Mar. Biol. 161, 805–819 (2014).

    Article 

    Google Scholar 

  • 55.

    Kershaw, F. et al. Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales. Mol. Ecol. 26, 977–994 (2017).

    Article 

    Google Scholar 

  • 56.

    Korrûbel, J. An age-structured simulation model to investigate species replacement between pilchard and anchovy populations in the southern Benguela. S. Afr. J. Mar. Sci. 12, 375–391 (1992).

    Article 

    Google Scholar 

  • 57.

    Shannon, L. et al. The 1980s–a decade of change in the Benguela ecosystem. S. Afr. J. Mar. Sci. 12, 271–296 (1992).

    Article 

    Google Scholar 

  • 58.

    Verheye, H., Richardson, A., Hutchings, L., Marska, G. & Gianakouras, D. Long-term trends in the abundance and community structure of coastal zooplankton in the southern Benguela system, 1951–1996. Afr. J. Mar. Sci. 19, 2 (1998).

    Google Scholar 

  • 59.

    Bakun, A. Global climate change and intensification of coastal ocean upwelling. Science 247, 198–201 (1990).

    ADS 
    CAS 
    Article 

    Google Scholar 

  • 60.

    Sydeman, W. et al. Climate change and wind intensification in coastal upwelling ecosystems. Science 345, 77–80 (2014).

    ADS 
    CAS 
    Article 

    Google Scholar 

  • 61.

    Bonino, G., Di Lorenzo, E., Masina, S. & Iovino, D. Interannual to decadal variability within and across the major eastern boundary upwelling systems. Sci. Rep. 9, 1–14 (2019).

    Article 

    Google Scholar 

  • 62.

    Fearon, G. et al. Enhanced vertical mixing in coastal upwelling systems driven by diurnal-inertial resonance: Numerical experiments. J. Geophys. Res. Oceans https://doi.org/10.1002/essoar.10502743.1 (2020).

    Article 

    Google Scholar 

  • 63.

    Xiu, P., Chai, F., Curchitser, E. N. & Castruccio, F. S. Future changes in coastal upwelling ecosystems with global warming: The case of the California Current System. Sci. Rep. 8, 1–9 (2018).

    Google Scholar 

  • 64.

    Roxy, M. K. et al. A reduction in marine primary productivity driven by rapid warming over the tropical Indian Ocean. Geophys. Res. Lett. 43, 826–833 (2016).

    ADS 
    Article 

    Google Scholar 

  • 65.

    Lockerbie, E. M. & Shannon, L. Toward exploring possible future states of the southern Benguela. Front. Mar. Sci. 6, 380 (2019).

    Article 

    Google Scholar 

  • 66.

    Ortega-Cisneros, K., Cochrane, K. L., Fulton, E. A., Gorton, R. & Popova, E. Evaluating the effects of climate change in the southern Benguela upwelling system using the Atlantis modelling framework. Fish. Oceanogr. 27, 489–503 (2018).

    Article 

    Google Scholar 

  • 67.

    Rykaczewski, R. R. & Checkley, D. M. Influence of ocean winds on the pelagic ecosystem in upwelling regions. Proc. Natl. Acad. Sci. 105, 1965–1970 (2008).

    ADS 
    CAS 
    Article 

    Google Scholar 

  • 68.

    Veitch, J. A. & Penven, P. The role of the A gulhas in the B enguela current system: A numerical modeling approach. J. Geophys. Res. Oceans 122, 3375–3393 (2017).

    ADS 
    Article 

    Google Scholar 

  • 69.

    Beal, L. M., De Ruijter, W. P., Biastoch, A. & Zahn, R. On the role of the Agulhas system in ocean circulation and climate. Nature 472, 429–436 (2011).

    ADS 
    CAS 
    Article 

    Google Scholar 

  • 70.

    Beal, L. M. & Elipot, S. Broadening not strengthening of the Agulhas current since the early 1990s. Nature 540, 570–573 (2016).

    ADS 
    CAS 
    Article 

    Google Scholar 

  • 71.

    Lilliefors, H. W. On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown. J. Am. Stat. Assoc. 64, 387–389. https://doi.org/10.1080/01621459.1969.10500983 (1969).

    Article 

    Google Scholar 

  • 72.

    Shchepetkin, A. F. & McWilliams, J. C. The regional oceanic modeling system (ROMS): A split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Model 9, 347–404. https://doi.org/10.1016/j.ocemod.2004.08.002 (2005).

    ADS 
    Article 

    Google Scholar 

  • 73.

    Debreu, L., Marchesiello, P., Penven, P. & Cambon, G. Two-way nesting in split-explicit ocean models: Algorithms, implementation and validation. Ocean Model 49, 1–21. https://doi.org/10.1016/j.ocemod.2012.03.003 (2012).

    ADS 
    Article 

    Google Scholar 

  • 74.

    Shchepetkin, A. F. & McWilliams, J. C. Quasi-monotone advection schemes based on explicit locally adaptive dissipation. Mon. Weather Rev. 126, 1541–1580. https://doi.org/10.1175/1520-0493(1998)126%3C1541:qmasbo%3E2.0.co;2 (1998).

    ADS 
    Article 

    Google Scholar 

  • 75.

    Warner, J. C., Sherwood, C. R., Arango, H. G. & Signell, R. P. Performance of four turbulence closure models implemented using a generic length scale method. Ocean Model 8, 81–113. https://doi.org/10.1016/j.ocemod.2003.12.003 (2005).

    ADS 
    Article 

    Google Scholar 

  • 76.

    Saha, S. et al. NCEP Climate Forecast System Reanalysis (CFSR) 6-Hourly Products, January 1979 to December 2010 (Boulder, 2010).

    Google Scholar 

  • 77.

    Saha, S. et al. NCEP Climate Forecast System Version 2 (CFSv2) 6-hourly Products. D61C61TXF (Boulder, 2011).

    Google Scholar 

  • 78.

    Burchard, H. & Hofmeister, R. A dynamic equation for the potential energy anomaly for analysing mixing and stratification in estuaries and coastal seas. Estuar. Coast. Shelf Sci. 77, 679–687. https://doi.org/10.1016/j.ecss.2007.10.025 (2008).

    ADS 
    Article 

    Google Scholar 

  • 79.

    Yamaguchi, R., Suga, T., Richards, K. J. & Qiu, B. Diagnosing the development of seasonal stratification using the potential energy anomaly in the North Pacific. Clim. Dyn. 53, 4667–4681. https://doi.org/10.1007/s00382-019-04816-y (2019).

    Article 

    Google Scholar 

  • 80.

    Lennard, C., Hahmann, A. N., Badger, J., Mortensen, N. G. & Argent, B. Development of a numerical wind atlas for South Africa. Energy Proc. 76, 128–137. https://doi.org/10.1016/j.egypro.2015.07.873 (2015).

    Article 

    Google Scholar 

  • 81.

    Thomson, R. E. & Emery, W. J. Data Analysis Methods in Physical Oceanography 3rd edn. (Elsevier, 2014).

    Google Scholar 


  • Source: Ecology - nature.com

    Coupling power and hydrogen sector pathways to benefit decarbonization

    Saving seaweed with machine learning