A Bioenergetics Approach to Developing a Population Consequences of Acoustic Disturbance Model

  • Daniel P. CostaEmail author
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 730)


In an effort to know how measurable short-term responses result in biologically meaningful changes in populations, a National Research Council Committee developed the population consequences of acoustic disturbance (PCAD) framework (National Research Council 2005). This framework detailed how behavioral responses to sound may affect life functions, how life functions are linked to vital rates, and how changes in vital rates cause population change through a series of transfer functions. However, many of these transfer functions are poorly understood. Here a bioenergetics model is described that can be used to parameterize these transfer functions and can identify species and/or particular life history characteristics that are likely to be sensitive or resilient to acoustic disturbance.


Marine Mammal Vital Rate Elephant Seal Negative Energy Balance Bioenergetic Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported by a contract from the Exploration and Production Sound and Marine Life Joint Industry Programme, administered by the International Association of Oil and Gas Producers, London, UK.


  1. Boyd IL, Murray AWA (2001) Monitoring a marine ecosystem using responses of upper trophic level predators. J Anim Ecol 70:747–760.CrossRefGoogle Scholar
  2. Brodie PF (1975) Cetacean energetics, an overview of intraspecific size variation. Ecology 56:152–161.CrossRefGoogle Scholar
  3. Costa DP (1993) The relationship between reproductive and foraging energetics and the evolution of the Pinnipedia. Symp Zool Soc Lond 66:293–314.Google Scholar
  4. Costa DP (2008) A conceptual model of the variation in parental attendance in response to environmental fluctuation: foraging energetics of lactating sea lions and fur seals. Aquat Conserv Mar Freshw Ecosyst 17:S44–S52.CrossRefGoogle Scholar
  5. Costa DP, Kuhn CE, Weise MJ, Shaffer SA, Arnould JPY (2004) When does physiology limit the foraging behaviour of freely diving mammals? Int Congr Ser 1275:359–366.CrossRefGoogle Scholar
  6. Crocker DE, Costa DP, Le Boeuf BJ, Webb PM, Houser DS (2006) Impact of El Niño on the foraging behavior of female northern elephant seals. Mar Ecol Prog Ser 309:1–10.CrossRefGoogle Scholar
  7. Forcada J, Trathan PN, Murphy EJ (2008) Life history buffering in Antarctic mammals and birds against changing patterns of climate and environmental variation. Glob Change Biol 14:2473–2488.Google Scholar
  8. Goebel ME (2002) Northern fur seal lactation, attendance and reproductive success in two years of contrasting oceanography. Dissertation, University of California, Santa Cruz, Santa Cruz, CA.Google Scholar
  9. Le Boeuf BJ, Crocker DE (2005) Ocean climate and seal condition. BMC Biol 3:9.PubMedCrossRefGoogle Scholar
  10. Lockyer C (2007) All creatures great and smaller: A study in cetacean life history energetics. J Mar Biol 87:1035–1045.CrossRefGoogle Scholar
  11. National Research Council (2005) Marine mammal populations and ocean noise: Determining when noise causes biologically significant effects committee on characterizing biologically significant marine mammal behavior. National Academy Press, Washington, DC.Google Scholar
  12. Testa JW, Oehlert G, Ainley DG, Bengtson JL, Siniff DB, Laws RM, Rounsevell D (1991) Temporal variability in Antarctic marine ecosystems: Periodic fluctuations in the phocid seals. Can J Fish Aquat Sci 48:631–639.CrossRefGoogle Scholar
  13. Trillmich F Ono KA (1991) Effects of El Niño on pinnipeds. Springer-Verlag, Berlin.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Ecology and Evolutionary BiologyUniversity of California, Santa CruzSanta CruzUSA

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