Original scientific paper
https://doi.org/10.18048/2016-00.253
Fish Monitoring in Kornati National Park: Baited, Remote, Underwater Video (BRUV) Versus Trammel Net Sampling
Dubravko Pejdo
Claudia Kruschel
Stewart Schultz
Ivana Zubak
; University of Zadar, Department of Ecology, Agriculture and Aquaculture, Trg kneza Višeslava 9, 23000 Zadar, Croatia
Danijel Kanski
; WWF Adria, Budmanijeva 5, 10000 Zagreb, Croatia
Martina Markov
; Kornati National Park, Department for Protection, Maintenance, Conservation and Use, Butina 2, 22243, Murter, Croatia
Petra Peleš
; Ires Ekologija, Baruna Filipovića 21, 10000 Zagreb, Croatia
Abstract
We evaluated (1) the suitability of two alternative methods for fish monitoring: trammel net sampling and BRUV (Baited Remote Underwater Video), and (2) the potential to cross-calibrate the methods based on a set of shared species with high catch probabilities. A statistical power analysis concluded that BRUV can be conducted with sufficient sample size to perceive small changes in fish populations with high power, and therefore can be used as a sentinel monitoring method. We found that fish species detected by both methods amounted to almost a third of the number of species in each method’s catch, and that 90% of these species are candidates for cross-calibration. 74% of the species at BRUV and 50% at trammel had occurrence probabilities above 10%, a reasonable threshold allowing stock assessment of these species. The sampled and predicted total species richness, extrapolated from the species accumulation curves, were almost identical across methods. We conclude that cross-calibrating the two methods and eventual replacement of the trammel method with non-destructive BRUV is
feasible. The most effective areas of improvement are increased BRUV night-sampling effort and increased total sampling size to increase the statistical power of BRUV as a monitoring tool. This
work has been supported under the Croatian Science Foundation under the project COREBIO (3107).
Keywords
Baited Remote Underwater Video; Trammel net; Monitoring; Method cross-calibration; Species richness
Hrčak ID:
154982
URI
Publication date:
4.4.2016.
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