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., and McClanahan, T.R. (2008) Detection heterogeneity in underwater visual-census data. Journal of Fish Biology, 73 (7). pp. 1748-1763.
PDF (Published Version)
Restricted to Repository staff only
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.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||Bayesian; marine protected area; mark–recapture; reef fishes|
|Date Deposited:||27 Aug 2009 01:23|
|FoR Codes:||06 BIOLOGICAL SCIENCES > 0602 Ecology > 060205 Marine and Estuarine Ecology (incl Marine Ichthyology) @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%|
|Citation Count from Scopus||