Harvest models and stock co-occurrence: probabilistic methods for estimating bycatch
Article first published online: 14 SEP 2012
© 2012 John Wiley & Sons Ltd
Fish and Fisheries
Volume 15, Issue 1, pages 23–42, March 2014
How to Cite
Drake, D. A. R. and Mandrak, N. E. (2014), Harvest models and stock co-occurrence: probabilistic methods for estimating bycatch. Fish and Fisheries, 15: 23–42. doi: 10.1111/faf.12005
- Issue published online: 6 JAN 2014
- Article first published online: 14 SEP 2012
- Manuscript Accepted: 8 JUN 2012
- Manuscript Received: 21 OCT 2011
- Natural Sciences and Engineering Research Council (NSERC)
- SERC Canadian Aquatic Invasive Species Network Grant and the Fisheries and Oceans Canada Aquatic Invasive Species programme
Appendix S1. Species-specific results of Monte Carlo bootstrap simulations and associated distributions representing the mean, median (med), 2.5th percentile (2.5th P) and 97.5th percentile (97.5th P) absolute probability of occurrence values of target baitfishes (Poccurrence (target (yi))) per haul (Lake Erie) or harvest area (Great Lakes tributary), with the conditional probability of non-target species occurrences (game, imperiled, invasive, or other non-target species) per haul (Lake Erie) or harvest area (Great Lakes tributary) derived as the conditional probability that a haul or harvest area will contain each non-target species, given the occurrence of at least one target species (Poccurrence (xi)|target (y))
Appendix S2. Harvest Models and Stock Co-occurrence. Analysis of Fishery-Independent Data: Nearshore Lake Erie
Appendix S3. Distributions of the probability of encountering target fishes (A; Poccurrence (target (y))), and conditional distributions of the probability of encountering game (B; Poccurrence (game)|target (y)), imperiled (C; Poccurrence (imperiled)|target (y)), invasive (D; Poccurrence (invasive)|target (y)) and other bycatch spp. (D; Poccurrence (other spp.)|target (y)), given the capture of at least one target species, following 10 000 Monte Carlo simulations of aggregate catch data from Lake Erie nearshore sampling, spring and fall, 2005 and 2006.
Appendix S4. Species-specific results of Lake Erie nearshore harvest models estimating the probability of non-target capture (Pcapture (xi)|target (y)) for harvest effort of n = 1.
Appendix S5. Plot depicting the probability (y-axis) that a single harvest event, out of a group of n harvest events (x-axis), will capture the non-target species of interest as bycatch, during the pursuit of n = 44 target species.
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