| Literature DB >> 28886183 |
Andrés Domingo1, Sebastián Jiménez1,2, Martin Abreu2, Rodrigo Forselledo1, Oliver Yates3.
Abstract
Industrial longline fisheries cause the death of large numbers of seabirds annually. Various mitigation measures have been proposed, including the use of tori lines. In this study the efficiency of a single tori line to reduce seabird bycatch was tested on pelagic longline vessels (25-37m length). Thirteen fishing trips were carried out in the area and season of the highest bycatch rates recorded in the southwest Atlantic (2009-2011). We deployed two treatments in random order: sets with a tori line and without a tori line (control treatment). The use of a tori line significantly reduced seabird bycatch rates. Forty three and seven birds were captured in the control (0.85 birds/1,000 hooks, n = 49 sets) and in the tori line treatment (0.13 birds/1,000 hooks, n = 51 sets), respectively. In 47% of the latter sets the tori line broke either because of entanglement with the longline gear or by tension. This diminished the tori line effectiveness; five of the seven captures during sets where a tori line was deployed were following ruptures. Nine additional trips were conducted with a tori line that was modified to reduce entanglements (2012-2016). Seven entanglements were recorded in 73 longline sets. The chance of a rupture on these trips was 4% (95% c.l. = 1-18%) of that during 2009-2011. This work shows that the use of a tori line reduces seabird bycatch in pelagic longline fisheries and is a practice suitable for medium size vessels (~25-40m length). Because the study area has historically very high bycatch rates at global level, this tori line design is potentially useful to reduce seabird bycatch in many medium size pelagic longline vessel fishing in the southern hemisphere.Entities:
Mesh:
Year: 2017 PMID: 28886183 PMCID: PMC5590930 DOI: 10.1371/journal.pone.0184465
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Distribution of the longline fishing sets conducted during the first (2009–2011) and second (2012–2016) phase.
The 200 m (solid line) and the 3000 m (dashed line) isobaths are represented.
Fig 2Image from the stern of a fishing vessel of the Uruguayan tori line deployed in situ showing the long and short streamers and the position to starboard in relation to the centrally deployed fishing mainline.
Number of birds incidentally captured in each treatment during Phases 1 and 2.
The observed fishing effort was as follows: Phase 1: with tori line = 51 sets and 52,371 hooks, without a tori line = 49 sets and 50,613 hooks; Phase 2: with tori line = 73 sets and 47,554 hooks.
| Species | Phase 1 | Phase 2 | ||
|---|---|---|---|---|
| With tori line | Without tori line | Total | With tori line | |
| Southern Royal Albatross | 0 | 4 | 4 | 1 |
| Northern Royal Albatross | 2 | 1 | 3 | 0 |
| White-capped Albatross | 0 | 2 | 2 | 0 |
| shy-type Albatross | 0 | 0 | 0 | 1 |
| Black-bowed Albatross | 3 | 26 | 29 | 11 |
| Southern Giant Petrel | 0 | 1 | 1 | 0 |
| White-chinned Petrel | 2 | 8 | 10 | 3 |
| Great Shearwater | 0 | 1 | 1 | 0 |
| 7 | 43 | 50 | 16 | |
Estimated coefficients and standard errors (SE) of the GLMs (Negative Binomial) for the bycatch rate of seabirds.
The Akaike information criteria (AIC) values and the dispersion parameters are shown for each model. All models were fitted using the log link function. Note that for every factor, one category is fixed (intercept), which serves as the standard for comparisons with other levels.
| Model | Factors | Coefficient | SE | z | p | AIC | Dispersion |
|---|---|---|---|---|---|---|---|
| 173.5 | |||||||
| (Intercept) | -5.87 | 0.67 | -8.72 | <0.00001 | |||
| Wind_high | -0.71 | 0.59 | -1.21 | 0.22780 | |||
| TimeSet_night | -1.03 | 0.74 | -1.40 | 0.16260 | |||
| Toriline_use | -2.41 | 0.98 | -2.46 | 0.01370 | |||
| TimeSet_night:Toriline_use | 0.86 | 1.24 | 0.69 | 0.48740 | |||
| 171.3 | |||||||
| (Intercept) | -6.65 | 0.38 | -17.53 | <0.00001 | |||
| Toriline_use | -2.15 | 0.63 | -3.39 | 0.00071 | |||
Estimated coefficients and standard errors (SE) of the GLMM (Binomial) for the ruptures of the tori line.
The rate of change in the odds and 95% confidence limits (c.l.) is presented for each variable. Variance of random effect “fishing trip” was 0.33 and standard deviation was 0.57.
| Fixed effects | Coefficient | SE | z | p | Rate of change in odds | 95% c.l. |
|---|---|---|---|---|---|---|
| (Intercept) | 0.55 | -0.34 | 0.73693 | |||
| Phase_2 | -3.25 | 0.78 | -4.15 | 0.00003 | 4 | 1–18 |
| Side_Stardboard | 1.73 | 0.72 | 2.41 | 0.01580 | 566 | 137–2347 |
| Wind_low | -1.99 | 0.67 | -2.98 | 0.00291 | 14 | 4–51 |
Fig 3Mean aerial coverage of the tori line in phases 1 and 2.
Error bars represent ± 1 standard deviation (SD). The number above each bar indicates the sample size.
Fig 4Bird capture per unit of effort (BCPUE; birds/1000 hooks) during day and night longline sets without tori line (No TL) and with tori line (TL).
The number above each bar indicates the sample size.