Synthesising a network of evidence on a seabird bycatch mitigation measure

Authors
Gilman, E., Chaloupka, M., Debski, I., Kim, M.A., Kingma, E. and Ochi, D.
Year
Journal/Publisher Name
Fish and Fisheries
Volume (Issue #)
26(1)
Page #s
30-44
Contact information
Eric Gilman, Fisheries Research Group, Hawaii, USA- egilman@utas.edu.au
Summary

Using modeling (specifically Bayesian multilevel network meta-regression modelling), this  study presents a synthesis of the effectiveness of alternative pelagic longline weighting in mitigating seabird bycatch.  There is a high probability (97%) that all weighting designs do reduce seabird bycatch when compared to no weight, but the designs with weights >60g and >1m from the hook performed significantly better than designs with less weight but attached closer to the hook.