Finding the missing pieces: working to solve the fisheries bycatch puzzle
Article first published online: 21 MAR 2013
© 2013 The Zoological Society of London
Volume 16, Issue 2, pages 153–154, April 2013
How to Cite
Lewison, R. L. (2013), Finding the missing pieces: working to solve the fisheries bycatch puzzle. Animal Conservation, 16: 153–154. doi: 10.1111/acv.12040
- Issue published online: 17 APR 2013
- Article first published online: 21 MAR 2013
Seabird bycatch in industrial fisheries has been the focus of research and conservation concern since the late 1980s (Weimerskirch & Jouventin, 1987; Bartle, 1991; Brothers, 1991). Although bycatch, or incidental capture, of seabirds is only one of several human-mediated disturbances including invasive species, toxin contamination, disease and climate change (Arcos et al., 2002; Finkelstein, Gwiazda & Smith, 2003; Weimerskirch, 2004) that threatens their populations, fisheries bycatch has been implicated as a primary threat to a number of declining seabird populations (Weimerskirch et al., 1997; Tuck et al., 2011).
In contrast to the detailed statistics collected on target species, bycatch data are based primarily on information collected by observer programs. Several nations employ observers, who are independent of the fishing industry and trained to record bycatch, as observer records provide the highest quality bycatch data. Observer programs can be costly and, as a result, the percentage of fishing activity observed is typically low relative to the total fishing effort (Lewison et al., 2004).
For many fishing areas and fleets, observer data have never been reported. Yeh et al. (2013) addressed this substantial knowledge gap by using Taiwanese observer data to present the first report of the spatial distribution and magnitude of seabird bycatch by an Asian tuna longline fleet operating in the high seas of the Atlantic Ocean. As the authors point out, ICCAT (The International Commission for the Conservation of Atlantic Ocean Tuna), the regulatory body that has jurisdiction over fisheries in much of the Atlantic Ocean basin, has already identified 41 seabird populations at risk from longline fleets in this region (ICCAT 2008).
Yeh et al. (2013) calculate nominal bycatch rates – number of birds caught relative to the amount of fishing gear deployed – for fishing activity across the region and identify gear characteristics, such as when and where (latitude/longitude) the gear is set, whether bycatch mitigation devices are used and the amount of target catch. The authors also report the number of birds attending the vessels as a potential variable that has been linked to bycatch rates (Gilman, 2006; Lokkeborg, 2011).
The results these authors present solidify the trends in seabird bycatch reported by previous research. Tropical regions in the Atlantic were found to have far lower bycatch rates than the cooler water in the south-east and south-west Atlantic. The authors also confirm the positive correlation between the number of attending birds at a vessel and bycatch rates.
The results from this analysis also highlight a fundamental issue with characterizing bycatch across a large fishing area; bycatch rates are highly variable in space and time. Bycatch is a rare event, that is why these and other authors typically use Poisson, negative binomial distributions or zero-inflated negative binomial distributions (Hamel et al., 2009; Trebilco et al., 2010; Zydelis et al., 2011). Given the overdispersion of bycatch data, reporting separate bycatch rates for different areas even within an ocean basin, as these authors do, is critical.
Through these analyses, Yeh et al. (2013) contribute to the global characterization of seabird bycatch, putting the valuable Taiwanese observer data to work to fill an important data gap. The authors' work also highlights the priorities to improving seabird bycatch data, particularly in the Atlantic. Although ICCAT regulations require members to submit seabird bycatch data, only one ICCAT member country complied with this request in 2010. Yeh et al. also demonstrate the limitations with observer data and the need for continued improvements in existing observer programs. In this observer dataset as with many others, more than 70% of the seabirds were not identified to species, precluding the ability to directly link bycatch rates to population-level impacts on seabird species of conservation concern.
Yeh et al. (2013) provide support for much-needed changes to bycatch data collection: namely, increasing the spatial, temporal and species resolution of bycatch data to match catch data; increasing observer coverage to ensure the collection of unbiased bycatch data; standardizing the timing and structure of bycatch data collection across nations; and strengthening data reporting regulations that govern all major fishing nations.
As Yeh et al. (2013) discuss, the observer data collection improvements described are necessary but not sufficient. Analysis of robust observer data is a first step toward identifying areas of high seabird bycatch where implementation of proven mitigation devices, such as bird-scaring lines, weighted lines and night setting, are needed (Gilman, 2006). The authors identify five such bycatch ‘hotspots’ in the south Atlantic Ocean (see figure 2) that are clear candidates for increased observer coverage, more extensive mitigation and extensive rigorous monitoring. The move toward a more robust observer data collection paired with directed mitigation implementation and enforcement suggests that the negative impacts of seabird bycatch across large ocean regions can be addressed.
- 2002). Mercury levels in seabirds and their fish prey at the Ebro Delta (NW Mediterranean): the role of trawler discards as a source of contamination. Mar. Ecol. Prog. Ser. 232, 281–290. , , & (
- 1991). Incidental capture of seabirds in the New Zealand Subantarctic Squid trawl fishery, 1990. Bird Conserv. Int. 1, 351–359. (
- 1991). Albatross mortality and associated bait loss in the Japanese longline fishery in the Southern Ocean. Biol. Conserv. 55, 255–268. (
- 2003). Lead poisoning of seabirds: environmental risks from leaded paint at a decommissioned military base. Environ. Sci. Technol. 37, 3256–3260. , & (
- 2009). Bycatch and beached birds: assessing mortality impacts in coastal net fisheries using marine bird strandings. Mar. Ornithol. 37, 41–60. , , , , , & (
- International Commission for the Conservation of the Atlantic Ocean Tuna (ICCAT) (2008). Report of the 2007 inter-sessional meeting of the sub-committee on ecosystems. February 19 to 23, 2007. Collect. Vol. Sci. Pap. ICCAT 62, 1671–1720.
- 2006). Incidental capture of seabirds in pelagic longline fisheries of the tropical and subtropical Pacific Islands region. Pacific Islands Forum Fisheries Agency. (
- 2004). Understanding impacts of fisheries bycatch on marine megafauna. Trends Ecol. Evol. 19, 598–604. , , & (
- 2011). Best practices to mitigate seabird bycatch in longline, trawl and gillnet fisheries – efficiency and practical applicability. Mar. Ecol. Prog. Ser. 435, 285–303. (
- 2010). Characterizing seabird bycatch in the eastern Australian tuna and billfish pelagic longline fishery in relation to temporal, spatial and biological influences. Aquat. Conservat. Mar. Freshwat. Ecosyst. 20, 531–542. , , , , & (
- 2011). An assessment of seabird–fishery interactions in the Atlantic Ocean. ICES J. Mar. Sci. 68, 1628–1637. , , , , , , & (
- 2004). Diseases threaten Southern Ocean albatrosses. Polar Biol. 27, 374–379. (
- 1987). Population dynamics of the Wandering Albatross, Diomedea exulans, of the Crozet Islands: causes and consequences of the population decline. Oikos 49, 315–322. & (
- 1997). Population dynamics of wandering albatross (Diomedea exulans) and Amsterdam albatross (D. amsterdamensis) in the Indian Ocean and their relationship with long-line fisheries: conservation implications. Biol. Conserv. 79, 257–270. , & (
- 2013) Estimates of seabird incidental catch by pelagic longline fisheries in the South Atlantic Ocean. Anim. Conserv. 16, 141–152. , , & (
- 2011). Dynamic habitat models: using telemetry data to project fisheries bycatch. Proc. Roy. Soc. B Biol. Sci. 278, 3191–3200. , , , , , , , , , , , , & (