Fish Monitoring in Kornati National Park: Baited, Remote, Underwater Video (BRUV) Versus Trammel Net Sampling (CROSBI ID 313489)
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Podaci o odgovornosti
Pejdo, Dubravko ; Kruschel, Claudia ; Schultz, Stewart ; Zubak Čižmek, Ivana ; Kanski, Danijel ; Markov, Martina ; Peleš, Petra
engleski
Fish Monitoring in Kornati National Park: Baited, Remote, Underwater Video (BRUV) Versus Trammel Net Sampling
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).
Baited Remote Underwater Video ; Trammel net ; Monitoring ; Method cross-calibration ; Species richness
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Podaci o izdanju
Povezanost rada
Biologija, Biotehnologija, Interdisciplinarne biotehničke znanosti, Interdisciplinarne prirodne znanosti, Poljoprivreda (agronomija)