Measurement of the size, shape and structure of Atlantic bluefin tuna schools in the open ocean

Fisheries Research

Volumn 91, Issue 1, 2008, Pages 42-55

  Newlands, Nathaniel K ^a   Porcelli, Tracy A ^b  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^b TRIUMF   (Canada)

Author keywords

Behavior; Bluefin tuna; Movement; Schooling

Indexed keywords

PISCES; SCOMBRIDAE; THUNNUS THYNNUS;

EID: 41949141797     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2007.11.019     Document Type: Article

References (34)

1. Abrahams M., and Colgan P. Risk of predation, hydrodynamic efficiency and their influence on school structure. Env. Biol. Fish. 13 3 (1985) 195-202
2. Abrahams M., and Colgan P. Fish schools and their hydrodynamic function: a reanalysis. Env. Biol. Fish. 20 1 (1987) 79-80
3. Barber C., Dobkin D., and Huhdanpaa H. The quickhull algorithm for convex hulls. ACM Trans. Math. Sci. 22 4 (1996) 426-483
4. Belyayev V., and Zuyev G. Hydrodynamic hypothesis of school formation in fishes. J. Ichthy. 9 4 (1969) 578-584
5. Berman M. Guest editorial: image analysis. Stat. Comput. 10 (2000) 91-93
6. Bowman F. Introduction to Elliptic Functions, with Applications (1961), Dover, New York, New York
7. Cahn P. Sensory factors in the side-to-side spacing and positional orientation of the tuna, euthynnus affinis, during schooling. Fish. Bull. 78 1 (1972) 197-203
8. Coetzee J. Use of a shoal analysis and patch estimation system (shapes) to characterize sardine schools. Aquat. Living Resour. 13 1 (2000) 1-10
9. Couzin I., Krause J., James R., Ruzton G., and Franks N. Collective memory and spatial sorting in animal groups. J. Theor. Biol. 218 1 (2002) 1-11
10. Embelton K., Gibson C., and Heaney S. Automated counting of phytoplankton by pattern recognition: a comparison with a manual counting method. J. Plankton Res. 25 6 (2003) 669-681
11. Fritsches K., and Marshall N. Independent and conjugate eye movements during optokinesis in teleost fishes. J. Exp. Biol. 205 (2002) 1241-1252
12. Grünbaum, D., Viscido, S., Parrish, J., 2004. Extracting interactive control algorithms from group dynamics of schooling fish. Lecture Notes in Control and Information Sciences, vol. 209. Springer-Verlag.
13. Hanrahan B., and Juanes F. Estimating the number of fish in atlantic bluefin tuna schools using models derived from captive school observations. U.S. Fish. Bull. 99 (2001) 420-431
14. Huth A., and Wissel C. The simulation of the movement of fish schools. J. Theor. Biol. 156 (1992) 365-385
15. Inada Y., and Kawachi K. Order and flexibility in the motion of fish schools. J. Theor. Biol. 214 (2002) 371-387
16. Kato S., Nakagawa T., Ohkawa M., Muramoto K., Oyama O., Watanabe A., Nakashima H., Nemoto T., and Sugitani K. A computer image processing system for quantification of zebrafish behavior. J. Neurosci. Methods 134 (2004) 1-7
17. Kato S., Tamada K., Shimada Y., and Chujo T. A quantification of goldfish behavior by an image processing system. Behav. Brain Res. 80 (1996) 51-55
18. Lines J., Tillett R., Ross L., Chan D., Hockaday S., and McFarlane N. An automatic image-based system for estimating the mass of free-swimming fish. Comput. Electron. Ag. 31 (2004) 151-168
19. Losey G., Cronin T., Goldsmith T., Hyde D., Marshall N., and McFarland W. The uv visual world of fishes: a review. J. Fish. Biol. 54 (1999) 921-943
20. MacIntyre F., and Noji T. Pattern Recognition. Computers in Fisheries Research (1996), Chapman and Hall, London pp. 143-174
21. Makris N., Ratilal P., Symonds D., Jagannathan S., Lee S., and Nero R. Fish population and behaviour revealed by instantaneous continental shelf-scale imaging. Science 311 (2006) 660-663
22. Misund O. Dynamics of moving masses: variability in packing density, shape and size among herring, sprat and saithe schools. ICES J. Mar. Sci. 50 (1993) 145-160
23. Newlands, N., 2002. Shoaling dynamics and abundance estimation: Atlantic bluefin tuna. Ph.D. thesis, University of British Columbia, Vancouver, B.C., Canada.
24. Newlands N., Lutcavage M., and Pitcher T. Analysis of foraging movements of atlantic bluefin tuna: individuals switch between two modes of search behavior. Popul. Ecol. 46 (2004) 39-53
25. Parrish J., and Edelstein-Keshet L. Complexity, pattern, and evolutionary trade-offs in animal aggregation. Science 284 (1999) 99-101
26. Parrish J., Viscido S., and Grünbaum D. Self-organized fish schools: an examination of emergent properties. Biol. Bull. 202 (2002) 296-305
27. Partridge B., Johansson J., and Kalish J. The structure of schools of giant bluefin tuna in cape cod bay. Environ. Biol. Fish. 9 (1983) 253-262
28. Partridge B., and Pitcher T. The sensory basis of fish schools: relative roles of lateral line and vision. J. Comp. Physiol. Biol. 135 (1980) 315-325
29. Pitcher T., and Partridge B. Fish school density and volume. Mar. Biol. 54 (1979) 383-394
30. Press W., Teukolsky S., Vetterling W., and Flannery B. Numerical Recipes in C: The Art of Scientific Computing (1992), Cambridge University Press, New York, New York
31. Reid D., and Simmonds E. Image analysis techniques for the study of fish school structure from acoustic survey data. Can. J. Fish. Aquat. Sci. 50 (1993) 886-893
32. Storbeck F., and Daan B. Fish species recognition using computer vision and a neural network. Fish. Res. 51 (2001) 11-15
33. Svendsen J., Skov J., Bildsoe M., and Steffensen J. Intra-school positional preference and reduced tail beat frequency in trailing positions in schooling roach under experimental conditions. J. Fish. Biol. 62 (2003) 834-846
34. Weihs D. Mechanically efficient swimming techniques for fish with negative buoyancy. J. Mar. Res. 31 3 (1973) 194-209