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Projected shifts in the foraging habitat of crabeater seals along the Antarctic Peninsula

Nature Climate Change volume 10, pages 472–477 (2020)Cite this article

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A Publisher Correction to this article was published on 07 April 2021

A Publisher Correction to this article was published on 24 June 2020

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Abstract

Crabeater seals exhibit extreme dietary specialization, feeding almost exclusively on Antarctic krill. This specialization has inextricably linked habitat use, life history and evolution of this pinniped species to the distribution of its prey. Therefore, the foraging habitat of crabeater seals can be used to infer the distribution of Antarctic krill. Here, we combined seal movements and diving behaviour with environmental variables to build a foraging habitat model for crabeater seals for the rapidly changing western Antarctic Peninsula (WAP). Our projections show that future crabeater seal foraging habitat and, by inference, krill distribution will expand towards offshore waters and the southern WAP in response to changes in circulation, water temperature and sea ice distribution. Antarctic krill biomass is projected to be negatively affected by the environmental changes, which are anticipated to manifest as a decrease in krill densities in coastal waters, with impacts on the land-/ice-based krill predator community, particularly in the northern WAP.

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Fig. 1: Habitat utilization of crabeater seals along the WAP.
Fig. 2: Schematic of changes in crabeater seal foraging capability in response to projected habitat changes and decreased Antarctic krill density along the WAP.
Fig. 3: Relationship between the foraging habitat of crabeater seals and environmental covariates.
Fig. 4: Monthly anomalies (percentage change) in predicted habitat importance for crabeater seals under expected future environmental conditions along the WAP.

Data availability

All crabeater seal movement data analysed during the current study are included in the Retrospective Analysis of Antarctic Tracking Data (RAATD) project65. Crabeater seal diving data are available from https://doi.org/10.5281/zenodo.3600555.

Change history

References

  1. Schofield, O. et al. How do polar marine ecosystems respond to rapid climate change? Science 328, 1520–1523 (2010).

    Article  CAS  Google Scholar 

  2. Vaughan, D. G. et al. Recent rapid regional climate warming on the Antarctic Peninsula. Clim. Change 60, 243–274 (2003).

    Article  Google Scholar 

  3. Klinck, J. M., Hofmann, E. E., Beardsley, R. C., Salihoglu, B. & Howard, S. Water-mass properties and circulation on the west Antarctic Peninsula continental shelf in austral fall and winter 2001. Deep Sea Res. Pt II 51, 1925–1946 (2004).

    Article  Google Scholar 

  4. Prézelin, B. B., Hofmann, E. E., Mengelt, C. & Klinck, J. M. The linkage between upper Circumpolar Deep Water (UCDW) and phytoplankton assemblages on the west Antarctic Peninsula continental shelf. J. Mar. Res. 58, 165–202 (2000).

    Article  Google Scholar 

  5. Atkinson, A., Siegel, V., Pakhomov, E. & Rothery, P. Long-term decline in krill stock and increase in salps within the Southern Ocean. Nature 432, 100–103 (2004).

    Article  CAS  Google Scholar 

  6. Hofmann, E. E. & Hüsrevoglu, Y. S. A circumpolar modeling study of habitat control of Antarctic krill (Euphausia superba) reproductive success. Deep Sea Res. Pt II 50, 3121–3142 (2003).

    Article  Google Scholar 

  7. Ducklow, H. W. et al. Marine pelagic ecosystems: the west Antarctic Peninsula. Phil. Trans. R. Soc. B Biol. Sci. 362, 67–94 (2007).

    Article  Google Scholar 

  8. Croxall, J. P. Southern Ocean environmental changes: effects on seabird, seal and whale populations. Phil. Trans. R. Soc. Lond. B Biol. Sci. 338, 119–127 (1992).

    Google Scholar 

  9. Hinke, J. T. et al. Spatial and isotopic niche partitioning during winter in chinstrap and Adélie penguins from the South Shetland Islands. Ecosphere 6, 1–32 (2015).

    Article  Google Scholar 

  10. Forcada, J. et al. Responses of Antarctic pack-ice seals to environmental change and increasing krill fishing. Biol. Conserv. 149, 40–50 (2012).

    Article  Google Scholar 

  11. Hückstädt, L. et al. Diet of a specialist in a changing environment: the crabeater seal along the western Antarctic Peninsula. Mar. Ecol. Prog. Ser. 455, 287–301 (2012).

    Article  CAS  Google Scholar 

  12. Hazen, E. L. et al. Marine top predators as climate and ecosystem sentinels. Front. Ecol. Environ. 17, 565–574 (2019).

    Article  Google Scholar 

  13. Staniland, I., Boyd, I. & Reid, K. An energy–distance trade-off in a central-place forager, the Antarctic fur seal (Arctocephalus gazella). Mar. Biol. 152, 233–241 (2007).

    Article  Google Scholar 

  14. Pitman, R. L. & Ensor, P. Three forms of killer whales (Orcinus orca) in Antarctic waters. J. Cetac. Res. Manage. 5, 131–140 (2003).

    Google Scholar 

  15. Burns, J. M., Hindell, M. A., Bradshaw, C. J. A. & Costa, D. P. Fine-scale habitat selection of crabeater seals as determined by diving behavior. Deep Sea Res. Pt II 55, 500–514 (2008).

    Article  Google Scholar 

  16. Friedlaender, A. S. et al. Ecological niche modeling of sympatric krill predators around Marguerite Bay, western Antarctic Peninsula. Deep Sea Res. Pt II 58, 1729–1740 (2011).

    Article  Google Scholar 

  17. Bengtson, J. L. & Stewart, B. S. Diving and haulout behavior of crabeater seals in the Weddell Sea, Antarctica, during March 1986. Polar Biol. 12, 635–644 (1992).

    Article  Google Scholar 

  18. Atkinson, A. et al. KRILLBASE: a circumpolar database of Antarctic krill and salp numerical densities, 1926–2016. Earth Syst. Sci. Data 9, 193–210 (2017).

    Article  Google Scholar 

  19. Reiss, C. S. et al. Overwinter habitat selection by Antarctic krill under varying sea-ice conditions: implications for top predators and fishery management. Mar. Ecol. Prog. Ser. 568, 1–16 (2017).

    Article  CAS  Google Scholar 

  20. Lawson, G. L., Wiebe, P. H., Ashjian, C. J. & Stanton, T. K. Euphausiid distribution along the western Antarctic Peninsula—part B: distribution of euphausiid aggregations and biomass, and associations with environmental features. Deep Sea Res. Pt II 55, 432–454 (2008).

    Article  Google Scholar 

  21. Lascara, C. M., Hofmann, E. E., Ross, R. M. & Quetin, L. B. Seasonal variability in the distribution of Antarctic krill, Euphausia superba, west of the Antarctic Peninsula. Deep Sea Res. Pt I 46, 951–984 (1999).

    Article  Google Scholar 

  22. Piñones, A. & Fedorov, A. V. Projected changes of Antarctic krill habitat by the end of the 21st century. Geophys. Res. Lett. 43, 8580–8589 (2016).

    Article  Google Scholar 

  23. Piñones, A., Hofmann, E. E., Daly, K. L., Dinniman, M. S. & Klinck, J. M. Modeling environmental controls on the transport and fate of early life stages of Antarctic krill (Euphausia superba) on the western Antarctic Peninsula continental shelf. Deep Sea Res. Pt I 82, 17–31 (2013).

    Article  Google Scholar 

  24. Dinniman, M. S., Klinck, J. M. & Hofmann, E. E. Sensitivity of Circumpolar Deep Water transport and ice shelf basal melt along the West Antarctic Peninsula to changes in the winds. J. Clim. 25, 4799–4816 (2012).

    Article  Google Scholar 

  25. Stephens D. W. & Krebs J. R. Foraging Theory (Princeton Univ. Press, 1986).

  26. Curtis, C., Stewart, B. S. & Karl, S. A. Pleistocene population expansions of Antarctic seals. Mol. Ecol. 18, 2112–2121 (2009).

    Article  Google Scholar 

  27. Bortolotto, E., Bucklin, A., Mezzavilla, M., Zane, L. & Patarnello, T. Gone with the currents: lack of genetic differentiation at the circum-continental scale in the Antarctic krill Euphausia superba. BMC Genet. 12, 32 (2011).

    Article  Google Scholar 

  28. Nachtsheim, D. A., Jerosch, K., Hagen, W., Plötz, J. & Bornemann, H.Habitat modelling of crabeater seals (Lobodon carcinophaga) in the Weddell Sea using the multivariate approach Maxent. Polar Biol. 40, 961–976 (2017).

    Article  Google Scholar 

  29. Davis, C. S., Stirling, I., Strobeck, C. & Coltman, D. W. Population structure of ice‐breeding seals. Mol. Ecol. 17, 3078–3094 (2008).

    Article  Google Scholar 

  30. Flores, H. et al. Impact of climate change on Antarctic krill. Mar. Ecol. Prog. Ser. 458, 1–19 (2012).

    Article  Google Scholar 

  31. Trivelpiece, W. Z. et al. Variability in krill biomass links harvesting and climate warming to penguin population changes in Antarctica. Proc. Natl Acad. Sci. USA 108, 7625–7628 (2011).

    Article  CAS  Google Scholar 

  32. Chapman, E. W., Hofmann, E. E., Patterson, D. L. & Fraser, W. R. The effects of variability in Antarctic krill (Euphausia superba) spawning behavior and sex/maturity stage distribution on Adélie penguin (Pygoscelis adeliae) chick growth: a modeling study. Deep Sea Res. Pt II 57, 543–558 (2010).

    Article  Google Scholar 

  33. Hofmann, E. E., Wiebe, P. H., Costa, D. P. & Torres, J. J. An overview of the Southern Ocean Global Ocean Ecosystems Dynamics program. Deep Sea Res. Pt II 51, 1921–1924 (2004).

    Article  Google Scholar 

  34. Costa, D. P. et al. Approaches to studying climatic change and its role on the habitat selection of Antarctic pinnipeds. Integr. Comp. Biol. 50, 1018–1030 (2010).

    Article  Google Scholar 

  35. Burns, J. M. et al. Winter habitat use and foraging behavior of crabeater seals along the western Antarctic Peninsula. Deep Sea Res. Pt II 51, 2279–2303 (2004).

    Article  Google Scholar 

  36. Grimwood, B. G., Plummer, T. H. Jr. & Tarentino, A. L. Purification and characterization of a neutral zinc endopeptidase secreted by Flavobacterium meningosepticum. Arch. Biochem. Biophys. 311, 127–132 (1994).

    Article  CAS  Google Scholar 

  37. Fedak, M. A., Lovell, P. & Grant, S. M. Two approaches to compressing and interpreting time–depth information as collected by time–depth recorders and satellite-linked data recorders. Mar. Mammal Sci. 17, 94–110 (2001).

    Article  Google Scholar 

  38. Patterson, T. A., McConnell, B. J., Fedak, M. A., Bravington, M. V. & Hindell, M. A. Using GPS data to evaluate the accuracy of state–space methods for correction of Argos satellite telemetry error. Ecology 91, 273–285 (2010).

    Article  Google Scholar 

  39. Jonsen, I. D., Flemming, J. M. & Myers, R. A. Robust state–space modeling of animal movement data. Ecology 86, 2874–2880 (2005).

    Article  Google Scholar 

  40. McConnell, B. J., Fedak, M. A., Hooker, S. & Patterson, T. in Marine Mammal Ecology and Conservation (eds Boyd, I. L., Bowen, W. D. & Iverson, S. J.) 450 (Oxford Univ. Press, 2010).

  41. Bovet, P. & Benhamou, S. Spatial analysis of animals’ movements using a correlated random walk model. J. Theor. Biol. 131, 419–433 (1988).

    Article  Google Scholar 

  42. Byers, J. A. Correlated random walk equations of animal dispersal resolved by simulation. Ecology 82, 1680–1690 (2001).

    Article  Google Scholar 

  43. Kareiva, P. M. & Shigesada, N. Analyzing insect movement as a correlated random walk. Oecologia 56, 234–238 (1983).

    Article  CAS  Google Scholar 

  44. Bergman, C. M., Schaefer, J. A. & Luttich, S. N. Caribou movement as a correlated random walk. Oecologia 123, 364–374 (2000).

    Article  CAS  Google Scholar 

  45. Dinniman, M. S., Klinck, J. M. & Smith, W. O. A model study of Circumpolar Deep Water on the west Antarctic Peninsula and Ross Sea continental shelves. Deep Sea Res. Pt II 58, 1508–1523 (2011).

    Article  CAS  Google Scholar 

  46. Meredith, M. et al. in Special Report on the Ocean and Cryosphere in a Changing Climate (eds Pörtner, H.-O. et al.) 203–320 (IPCC, 2019).

  47. Meredith, M. P. & King, J. C.Rapid climate change in the ocean west of the Antarctic Peninsula during the second half of the 20th century. Geophys. Res. Lett. 32, L19604 (2005).

    Google Scholar 

  48. Turner, J. et al. Antarctic climate change during the last 50 years. Int. J. Climatol. 25, 279–294 (2005).

    Article  Google Scholar 

  49. Stammerjohn, S. E., Martinson, D. G., Smith, R. C. & Iannuzzi, R. A. Sea ice in the western Antarctic Peninsula region: spatio-temporal variability from ecological and climate change perspectives. Deep Sea Res. Pt II 55, 2041–2058 (2008).

    Article  Google Scholar 

  50. Stammerjohn, S. E., Martinson, D. G., Smith, R. C., Yuan, X. & Rind, D.Trends in Antarctic annual sea ice retreat and advance and their relation to El Nino–Southern Oscillation and Southern Annular Mode variability. J. Geophys. Res. Oceans 113, C03S90 (2008).

    Article  Google Scholar 

  51. Marshall, G. J. Trends in the Southern Annular Mode from observations and reanalyses. J. Clim. 16, 4134–4143 (2003).

    Article  Google Scholar 

  52. Abram, N. J. et al. Evolution of the Southern Annular Mode during the past millennium. Nat. Clim. Change 4, 564–569 (2014).

    Article  CAS  Google Scholar 

  53. Lubin, D., Wittenmyer, R. A., Bromwich, D. H. & Marshall, G. J.Antarctic Peninsula mesoscale cyclone variability and climatic impacts influenced by the SAM. Geophys. Res. Lett. 35, L02808 (2008).

    Article  Google Scholar 

  54. Turner, J. et al. Antarctic climate change and the environment: an update. Polar Record 50, 237–259 (2014).

    Article  Google Scholar 

  55. Jacobs, S. Observations of change in the Southern Ocean. Phil. Trans. A Math. Phys. Eng. Sci. 364, 1657–1681 (2006).

    CAS  Google Scholar 

  56. IPCC Climate Change 2014: Impacts, Adaptation, and Vulnerability (eds Field, C. B. et al.) 1567–1612 (Cambridge Univ. Press, 2014).

  57. Spence, P. et al. Rapid subsurface warming and circulation changes of Antarctic coastal waters by poleward shifting winds. Geophys. Res. Lett. 41, 4601–4610 (2014).

    Article  Google Scholar 

  58. Aarts, G., MacKenzie, M., McConnell, B., Fedak, M. & Matthiopoulos, J. Estimating space-use and habitat preference from wildlife telemetry data. Ecography 31, 140–160 (2008).

    Article  Google Scholar 

  59. Raymond, B. et al. Important marine habitat off east Antarctica revealed by two decades of multi-species predator tracking. Ecography 38, 121–129 (2015).

    Article  Google Scholar 

  60. Elith, J., Leathwick, J. R. & Hastie, T. A working guide to boosted regression trees. J. Anim. Ecol. 77, 802–813 (2008).

    Article  CAS  Google Scholar 

  61. R Core Development Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2018).

  62. Aarts, G., Fieberg, J. & Matthiopoulos, J. Comparative interpretation of count, presence–absence and point methods for species distribution models. Methods Ecol. Evol. 3, 177–187 (2012).

    Article  Google Scholar 

  63. Wood, S. Package ‘mgcv’. R package version 1.8-31 (2019).

  64. Ripley, B., Venables, B., Bates, D. M., Hornik, K., Gebhardt, A. & Firth, D. MASS: Support functions and datasets for Venables and Ripley’s MASS. R package version 7.3-51.5 (2019).

  65. Ropert-Coudert, Y. et al. Standardized data from the Retrospective Analysis of Antarctic Tracking Data project from the Scientific Committee on Antarctic Research (Australian Antarctic Division Data Centre, 2019); https://doi.org/10.4225/15/5afcb927e8162

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Acknowledgements

We thank the National Science Foundation, United States Antarctic Program, Palmer Station, RV Laurence M. Gould crew and AGUNSA Chile for logistics support. Many people assisted with the fieldwork, particularly M. Hindell, N. Gales, A. Friedlaender, C. Kuhn, T. Goldstein, D. Shuman, M. Fedak, M. Goebel, P. Robinson, S. Villegas-Amtmann and S. Simmons. Animal handling was authorized by the University of California, Santa Cruz Institutional Animal Care and Use Committee and conducted under National Marine Fisheries Service permits 87-1593 and 87-1851-00. This study was part of LAH Doctoral studies, funded by CONICYT-Fulbright (Chile). The fieldwork was funded under National Science Foundation Office of Polar Programs grants ANT-0110687, 0840375, 0533332 and 0838937, the National Undersea Research Program and the National Oceanographic Partnership through the Office of Naval Research. L.A.H. was funded under JIP 00 07-23 from the E&P Sound and Marine Life Industry Project of the IAGOP. A.P. thanks CONICYT-PAI 79160077 and FONDAP 15150003.

Author information

Authors and Affiliations

  1. Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, USA

    Luis A. Hückstädt & Daniel P. Costa

  2. Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile

    Andrea Piñones

  3. Centro FONDAP de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL), Universidad Austral de Chile, Valdivia, Chile

    Andrea Piñones

  4. Centro de Investigación Oceanográfica COPAS Sur-Austral, Universidad de Concepción, Concepción, Chile

    Andrea Piñones

  5. Marine Mammal Institute, Hatfield Marine Science Center, Oregon State University, Newport, OR, USA

    Daniel M. Palacios

  6. Department of Fisheries and Wildlife, Oregon State University, Newport, OR, USA

    Daniel M. Palacios

  7. Moss Landing Marine Laboratories, San Jose State University, Moss Landing, CA, USA

    Birgitte I. McDonald

  8. Center for Coastal Physical Oceanography, Old Dominion University, Norfolk, VA, USA

    Michael S. Dinniman & Eileen E. Hofmann

  9. Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK, USA

    Jennifer M. Burns

  10. Department of Biology, Sonoma State University, Rohnert Park, CA, USA

    Daniel E. Crocker

  11. Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, USA

    Daniel P. Costa

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  1. Luis A. Hückstädt
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  2. Andrea Piñones
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Contributions

L.A.H., D.P.C., D.E.C., J.M.B. and E.E.H. conceived the study. L.A.H., B.I.M., D.P.C., D.E.C. and J.M.B. conducted the fieldwork and collected the data. L.A.H., D.M.P., A.P. and M.S.D. analysed the data. L.A.H. drafted the manuscript. All authors contributed to subsequent drafts.

Corresponding author

Correspondence to Luis A. Hückstädt.

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The authors declare no competing interests.

Additional information

Peer review information Nature Climate Change thanks Jessica Melbourne-Thomas, Dominik Nachtsheim and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Krill distribution comparisons.

Comparison between krill distribution and current crabeater seal foraging habitat. a, Sampling locations included in KRILLBASE between 2000 and 2016; b, krill densities (No. krill m-2) obtained from KRILLBASE between 2000 and 2016 (ref. 18); c, krill spawning habitat along the wAP22; d, crabeater foraging habitat (inferred krill distribution) as modeled in this study).

Extended Data Fig. 2 Projected expansion in habitat.

Projected future offshore expansion of the habitat of crabeater seals along the western Antarctic Peninsula (Linear regression model: Habitat width ~ Latitude * Period). Habitat width was defined as the mean distance between the coast and the 50% habitat importance contour for 50 km bins in the North coordinate. Error bars indicate the standard deviation of the habitat width for the bins. Colour dashed lines indicate the fitted linear regressions. Green indicates current habitat width. Yellow is projected habitat width under projected environmental changes.

Extended Data Fig. 3 Density of Transit Phases.

Frequency distribution of the duration of continuous travel segments, as identified from satellite telemetry, for crabeater seals from the western Antarctic Peninsula.

Extended Data Fig. 4 Boosted Regression Trees – Partial Dependence Plots.

Boosted Regression Tree (BRT). Partial dependence plots of the relationship between environmental covariates and presence/absence of crabeater seals along the western Antarctic Peninsula.

Extended Data Fig. 5 Boosted Regression Trees – ROC.

Boosted Regression Tree (BRT) Analysis. Receiver Operator Curve (ROC) shows a low performance of the final BRT model selected (Area Under the Curve, AUC = 0.64).

Extended Data Fig. 6 Boosted Regression Trees – Variable Influence.

Boosted Regression Tree (BRT) Analysis. Relative influence of environmental variables used in the BRT models to predict foraging habitat of crabeater seals. The relative influence indicates the proportion of variation in the data explained by each variable with respect to the rest of the variables.

Extended Data Fig. 7 GAMM – ROC.

Receiver Operator Curve (ROC) to estimate the performance of the final Generalised Additive Mixed Model (GAMM) to predict the foraging habitat of crabeater seals from the western Antarctic Peninsula. The final selected model performance was estimated based on the Area Under the Curve (AUC) of 0.97.

Supplementary information

Supplementary Information

Supplementary results and Tables 1–3.

Reporting Summary

Supplementary Video

Comparisons between current and projected crabeater seal foraging habitat importance.

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Hückstädt, L.A., Piñones, A., Palacios, D.M. et al. Projected shifts in the foraging habitat of crabeater seals along the Antarctic Peninsula. Nat. Clim. Chang. 10, 472–477 (2020). https://doi.org/10.1038/s41558-020-0745-9

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