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How the movement characteristics of large marine predators influence estimates of their abundance

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  • Boschetti, Fabio
  • Vanderklift, Mathew A.

Abstract

Understanding animal movement provides information that helps design effective conservation initiatives. We intuitively understand that the way animals move at large scales determines the extent of their home range and their migratory patterns – and we know that these features are relevant to decisions about the location, size and distribution of protected areas. It is less intuitively obvious that knowledge of movement characteristics at finer scales can also have conservation implications. By modelling the small to intermediate scale movement (1–103m) of a large marine predator in a shallow coastal environment, we show how different assumptions about movement patterns influence estimates of species abundance derived from field observations. Foraging behaviour, statistical properties of the swimming path and average speed exert the greatest impact, suggesting that these should be the focus of further experimental work. Better data would inform our understanding and considerably reduce the uncertainty in abundance estimation, improving conservation-related decision making.

Suggested Citation

  • Boschetti, Fabio & Vanderklift, Mathew A., 2015. "How the movement characteristics of large marine predators influence estimates of their abundance," Ecological Modelling, Elsevier, vol. 313(C), pages 223-236.
    • Handle: RePEc:eee:ecomod:v:313:y:2015:i:c:p:223-236
    DOI: 10.1016/j.ecolmodel.2015.06.035
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    1. G. M. Viswanathan & Sergey V. Buldyrev & Shlomo Havlin & M. G. E. da Luz & E. P. Raposo & H. Eugene Stanley, 1999. "Optimizing the success of random searches," Nature, Nature, vol. 401(6756), pages 911-914, October.
    2. David W. Sims & Emily J. Southall & Nicolas E. Humphries & Graeme C. Hays & Corey J. A. Bradshaw & Jonathan W. Pitchford & Alex James & Mohammed Z. Ahmed & Andrew S. Brierley & Mark A. Hindell & David, 2008. "Scaling laws of marine predator search behaviour," Nature, Nature, vol. 451(7182), pages 1098-1102, February.
    3. Ferreira, A.S. & Raposo, E.P. & Viswanathan, G.M. & da Luz, M.G.E., 2012. "The influence of the environment on Lévy random search efficiency: Fractality and memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3234-3246.
    4. Rees, Samuel G. & Goodenough, Anne E. & Hart, Adam G. & Stafford, Richard, 2011. "Testing the effectiveness of capture mark recapture population estimation techniques using a computer simulation with known population size," Ecological Modelling, Elsevier, vol. 222(17), pages 3291-3294.
    5. Breed, Greg A. & Costa, Daniel P. & Jonsen, Ian D. & Robinson, Patrick W. & Mills-Flemming, Joanna, 2012. "State-space methods for more completely capturing behavioral dynamics from animal tracks," Ecological Modelling, Elsevier, vol. 235, pages 49-58.
    6. Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342, June.
    7. Jones, M.C. & Pewsey, Arthur, 2005. "A Family of Symmetric Distributions on the Circle," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1422-1428, December.
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