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Detection heterogeneity in underwater visual-census data
MacNeil, M.A.; Graham, N. A. J.; Conroy, M. J.; Fonnesbeck, C. J.; Polunin, N. V. C.; Rushton, S. P.; Chabanet, P.; McClanahan, T. R. (2008). Detection heterogeneity in underwater visual-census data. J. Fish Biol. 73(7): 1748-1763. dx.doi.org/10.1111/j.1095-8649.2008.02067.x
In: Journal of Fish Biology. Fisheries Society of the British Isles: London,New York,. ISSN 0022-1112; e-ISSN 1095-8649
Peer reviewed article  

Beschikbaar in  Auteurs 

Author keywords
    Bayesian, marine protected area, mark–recapture, reef fishes

Auteurs  Top 
  • MacNeil, M.A.
  • Graham, N. A. J.
  • Conroy, M. J.
  • Fonnesbeck, C. J.
  • Polunin, N. V. C.
  • Rushton, S. P.
  • Chabanet, P.
  • McClanahan, T. R.

Abstract
    This study shows how capture-mark-recapture (CMR) models can provide robust estimates of detection heterogeneity (sources of bias) in underwater visual-census data. Detection biases among observers and fish family groups were consistent between fished and unfished reef sites in Kenya, even when the overall level of detection declined between locations. Species characteristics were the greatest source of detection heterogeneity and large, highly mobile species were found to have lower probabilities of detection than smaller, site-attached species. Fish family and functional-group detectability were also found to be lower at fished locations, probably due to differences in local abundance. Because robust CMR models deal explicitly with sampling where not all species are detected, their use is encouraged for studies addressing reef-fish community dynamics.

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