Examining trends in abundance of an overexploited elasmobranch species in a nursery area closure
Jaime D. McAllister A , Adam Barnett B C , Jeremy M. Lyle A , Kilian M. Stehfest A D and Jayson M. Semmens A
+ Author Affiliations
- Author Affiliations
A Fisheries and Aquaculture Centre, Institute for Marine and Antarctic Studies, Private Bag 49, Hobart, Tas. 7001, Australia.
B School of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Vic. 3125, Australia.
C College of Marine and Environmental Sciences, James Cook University, Townsville, Qld 4811, Australia.
D Corresponding author. Email: kilian.stehfest@utas.edu.au
Marine and Freshwater Research 69(3) 376-384 https://doi.org/10.1071/MF17130
Submitted: 9 May 2017 Accepted: 18 September 2017 Published: 12 December 2017
Abstract
Determining the dynamics of ecological communities following periods of anthropogenic change is critical to assessing the effectiveness of management strategies. Several coastal areas in south-eastern Australia were proclaimed shark refuge areas (SRAs) following overfishing of the school shark (Galeorhinus galeus) during the 1940s and 1950s. In conjunction with catch reduction measures, these areas provide spatial protection for juvenile G. galeus. In the present study, we compared recent (2012–14) and historic (1991–97) longline catch rates to determine whether young-of-year (YOY) and juvenile G. galeus continue to use these nursery areas (42°47′60.00″S, 147°30′0.00″E). Our data suggest that YOY abundances in the SRAs may have increased, or at least have remained stable, since the 1990s. Data from research fishing conducted from 1947 to 1956 showed that YOY abundance in the SRA correlated well with overall stock abundance in the past. If this relationship still holds, our longline data indicate that the stock may be showing signs of recovery. However, the present-day importance of the SRA to overall stock recruitment, as well as the relationship between YOY abundance in the SRA and stock health, need to be resolved before monitoring of YOY abundance in the SRA can be used as a fisheries-independent stock-assessment tool.
Additional keywords: catch per unit effort, catch rate, Galeorhinus galeus, prerecruit abundance, recovery, school shark, shark fishery.
References
Australian Fisheries Management Authority (2009). ‘The School Shark Rebuilding Strategy 2008.’ (AFMA: Canberra, ACT, Australia.)Australian Fisheries Management Authority (2015). ‘The School Shark Rebuilding Strategy – Revised 2015.’ (AFMA: Canberra, ACT, Australia.)
Bonfil, R. (2004). Fishery stock assessment models and their application to sharks. In ‘Elasmobranch Fisheries Management Techniques’. (Eds J. A. Musick and R. Bonfil.) pp. 205–240. (Asia Pacific Economic Cooperation: Singapore.)
Botsford, L. W., Castilla, J. C., and Peterson, C. H. (1997). The management of fisheries and marine ecosystems. Science 277, 509–515.
| The management of fisheries and marine ecosystems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2sXkvVektbw%3D&md5=f54506e17d0db9b651b46097b06cbdb6CAS |
Branstetter, S., and Musick, J. A. (1993). Comparisons of shark catch rates on longlines using rope/steel (Yankee) and monofilament gangions. Marine Fisheries Review 55, 4–9.
Bush, A., and Holland, K. (2002). Food limitation in a nursery area: estimates of daily ration in juvenile scalloped hammerheads, Sphyrna lewini (Griffith and Smith, 1834) in Kāne’ohe Bay, Ō’ahu, Hawai’i. Journal of Experimental Marine Biology and Ecology 278, 157–178.
| Food limitation in a nursery area: estimates of daily ration in juvenile scalloped hammerheads, Sphyrna lewini (Griffith and Smith, 1834) in Kāne’ohe Bay, Ō’ahu, Hawai’i.Crossref | GoogleScholarGoogle Scholar |
CSIRO (1993). Investigation of School and Gummy Shark Nursery Areas in SE Tasmania. FRDC Final Report 91/23. CSIRO Division of Fisheries, Hobart, Tas., Australia.
Dobson, A. J. (2002). ‘Introduction to Generalized Linear Models’, 2 edn. (Chapman & Hall/CRC Press: Boca Raton, FL, USA.)
Fogarty, M. J., Sissenwine, M. P., and Cohen, E. B. (1991). Recruitment variability and the dynamics of exploited marine populations. Trends in Ecology & Evolution 6, 241–246.
| Recruitment variability and the dynamics of exploited marine populations.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M7hsVemsQ%3D%3D&md5=e6b0c2721332b24494e689a3a1f3e64fCAS |
Heithaus, M. R. (2005). Nursery areas as essential shark habitats: a theoretical perspective. In ‘Shark Nursery Grounds of the Gulf of Mexico and the East Coast Waters of the United States’. (Eds C. T. McCandless, N. E. Kohler, and H. L. Pratt.) Vol. 50, pp. 3–13. (American Fisheries Society: Michigan, WI, USA.)
Heupel, M. R., and Simpfendorfer, C. A. (2002). Estimation of mortality of juvenile blacktip sharks, Carcharhinus limbatus, within a nursery area using telemetry data. Canadian Journal of Fisheries and Aquatic Sciences 59, 624–632.
Hilborn, R., Pikitch, E. K., and Francis, R. C. (1993). Current trends in including risk and uncertainty in stock assessment and harvest decisions. Canadian Journal of Fisheries and Aquatic Sciences 50, 874–880.
| Current trends in including risk and uncertainty in stock assessment and harvest decisions.Crossref | GoogleScholarGoogle Scholar |
Hilborn, R., Punt, A. E., and Orensanz, J. (2004). Beyond Band-aids in fisheries management: fixing world fisheries. Bulletin of Marine Science 74, 493–507.
Huveneers, C., Simpfendorfer, C., and Thomson, R. (2013). Determining the most suitable index of abundance for school shark (Galeorhinus galeus) stock assessment: review and future directions to ensure best recovery estimates. Final Report to the Fisheries Research and Development Corporation, FRDC TRF Shark Futures 2011/078. SARDI Publication F2012/000479-1. SARDI Research Report Series 673, South Australian Research and Development Institute, Aquatic Sciences, Adelaide, SA, Australia.
Jackson, J. B. C., Kirby, M. X., Berger, W. H., Bjorndal, K. A., Botsford, L. W., Bourque, B. J., Bradbury, R. H., Cooke, R., Erlandson, J., Estes, J. A., Hughes, T. P., Kidwell, S., Lange, C. B., Lenihan, H. S., Pandolfi, J. M., Peterson, C. H., Steneck, R. S., Tegner, M. J., and Warner, R. R. (2001). Historical overfishing and the recent collapse of coastal ecosystems. Science 293, 629–637.
| Historical overfishing and the recent collapse of coastal ecosystems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXls1Khu7o%3D&md5=da340210b1775ccaa06e1cc74de68288CAS |
Lindén, A., and Mäntyniemi, S. (2011). Using the negative binomial distribution to model overdispersion in ecological count data. Ecology 92, 1414–1421.
| Using the negative binomial distribution to model overdispersion in ecological count data.Crossref | GoogleScholarGoogle Scholar |
Løkkeborg, S., and Pina, T. (1997). Effects of setting time, setting direction and soak time on longline catch rates. Fisheries Research 32, 213–222.
| Effects of setting time, setting direction and soak time on longline catch rates.Crossref | GoogleScholarGoogle Scholar |
Maunder, M. N., and Punt, A. E. (2004). Standardizing catch and effort data: a review of recent approaches. Fisheries Research 70, 141–159.
| Standardizing catch and effort data: a review of recent approaches.Crossref | GoogleScholarGoogle Scholar |
McAllister, J. D. (2014) Examining the role of area closures for the protection and conservation of an overexploited coastal shark species. Ph.D. thesis, University of Tasmania.
McAllister, J. D., Barnett, A., Lyle, J. M., and Semmens, J. M. (2015). Examining the functional role of current area closures used for the conservation of an overexploited and highly mobile fishery species. ICES Journal of Marine Science 72, 2234–2244.
| Examining the functional role of current area closures used for the conservation of an overexploited and highly mobile fishery species.Crossref | GoogleScholarGoogle Scholar |
Murphy, G. I. (1960). Estimating abundance from longline catches. Journal of the Fisheries Board of Canada 17, 33–40.
| Estimating abundance from longline catches.Crossref | GoogleScholarGoogle Scholar |
Myers, R. A. (2001). Stock and recruitment: generalizations about maximum reproductive rate, density dependence, and variability using meta-analytic approaches. ICES Journal of Marine Science 58, 937–951.
| Stock and recruitment: generalizations about maximum reproductive rate, density dependence, and variability using meta-analytic approaches.Crossref | GoogleScholarGoogle Scholar |
Olsen, A. M. (1954). The biology, migration, and growth rate of the school shark, Galeorhinus australis (Macleay) (Carcharhinidae) in south-eastern Australian waters. Marine and Freshwater Research 5, 353–410.
Olsen, A. M. (1959). The status of the school shark fishery in south-eastern Australian waters. Marine and Freshwater Research 10, 150–176.
| The status of the school shark fishery in south-eastern Australian waters.Crossref | GoogleScholarGoogle Scholar |
Olsen, A. M. (1984). Synopsis of biological data on the school shark: Galeorhinus australis (Macleay 1881). FAO Fisheries Synopsis 139, 1–42.
Palsbøll, P. J., Zachariah, P. M., and Berube, M. (2010). Detecting populations in the ‘ambiguous’ zone: kinship-based estimation of population structure at low genetic divergence. Molecular Ecology Resources 10, 797–805.
| Detecting populations in the ‘ambiguous’ zone: kinship-based estimation of population structure at low genetic divergence.Crossref | GoogleScholarGoogle Scholar |
Punt, A. E., and Hilborn, R. (1997). Fisheries stock assessment and decision analysis: the Bayesian approach. Reviews in Fish Biology and Fisheries 7, 35–63.
| Fisheries stock assessment and decision analysis: the Bayesian approach.Crossref | GoogleScholarGoogle Scholar |
Punt, A. E., Pribac, F., Walker, T. I., Taylor, B. L., and Prince, J. D. (2000). Stock assessment of school shark, Galeorhinus galeus, based on a spatially explicit population dynamics model. Marine and Freshwater Research 51, 205–220.
| Stock assessment of school shark, Galeorhinus galeus, based on a spatially explicit population dynamics model.Crossref | GoogleScholarGoogle Scholar |
Roberts, C. M., and Hawkins, J. P. (1999). Extinction risk in the sea. Trends in Ecology & Evolution 14, 241–246.
| Extinction risk in the sea.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2sbgsFeisg%3D%3D&md5=3e17b1385ffa93c3fb5295f5b07b371fCAS |
Rochette, S., Rivot, E., Morin, J., Mackinson, S., Riou, P., and Le Pape, O. (2010). Effect of nursery habitat degradation on flatfish population: application to Solea solea in the Eastern Channel (Western Europe). Journal of Sea Research 64, 34–44.
| Effect of nursery habitat degradation on flatfish population: application to Solea solea in the Eastern Channel (Western Europe).Crossref | GoogleScholarGoogle Scholar |
Stevens, J. D., and West, G. J. (1997). Investigation of school and gummy shark nursery areas in south eastern Australia. (CSIRO Marine Research, Hobart, Tas., Australia.) Available at http://frdc.com.au/Archived-Reports/FRDC%20Projects/1993-061-DLD.pdf [Verified 14 October 2017].
Stone, H. H., and Dixon, L. K. (2001). A comparison of catches of swordfish, Xiphias gladius, and other pelagic species from Canadian longline gear configured with alternating monofilament and multifilament nylon gangions. Fishery Bulletin 99, 210–216.
Thompson, R. (2012). Projecting the school shark model into the future: Rebuilding timeframes and auto-longlining in South Australia. CSIRO Marine and Atmospheric Research, Hobart, Tas., Australia.
Thompson, R. B., and Punt, A. E. (2008). Stock assessment update for school shark (Galeorhinus galeus) based on data up to 2008. Australian Fisheries Management Authority and CSIRO Marine and Atmospheric Research, Hobart, Tas., Australia.
Thompson, R. B., and Sporcic, M. (2013). Review of proposed indicators of abundance for school shark 2013. AFMA Project Number: 2013/0800, Australian Fisheries Management Authority and CSIRO Marine and Atmospheric Research, Hobart, Tas., Australia.
Venables, W. N., and Ripley, B. D. (2002). ‘Modern Applied Statistics with S.’ (Springer: New York, NY, USA.)
Walker, T. I. (1999). Southern Australian shark fishery management. In ‘Case Studies of the Management of Elasmobranch Fisheries’. (Ed. R. Shotton.) Vol. 378, part 2, pp. 480–514. (FAO: Rome, Italy.)
Walters, C. J., and Ludwig, D. (1981). Effects of measurement errors on the assessment of stock–recruitment relationships. Canadian Journal of Fisheries and Aquatic Sciences 38, 704–710.
| Effects of measurement errors on the assessment of stock–recruitment relationships.Crossref | GoogleScholarGoogle Scholar |
Walters, C., and Maguire, J.-J. (1996). Lessons for stock assessment from the northern cod collapse. Reviews in Fish Biology and Fisheries 6, 125–137.
| Lessons for stock assessment from the northern cod collapse.Crossref | GoogleScholarGoogle Scholar |
Ward, P., Myers, R. A., and Blanchard, W. (2004). Fish lost at sea: the effect of soak time on pelagic longline catches. Fishery Bulletin 102, 179–195.
Worm, B., Hilborn, R., Baum, J. K., Branch, T. A., Collie, J. S., Costello, C., Fogarty, M. J., Fulton, E. A., Hutchings, J. A., Jennings, S., Jensen, O. P., Lotze, H. K., Mace, P. M., McClanahan, T. R., Minto, C., Palumbi, S. R., Parma, A. M., Ricard, D., Rosenberg, A. A., Watson, R., and Zeller, D. (2009). Rebuilding global fisheries. Science 325, 578–585.
| Rebuilding global fisheries.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXptFOjt78%3D&md5=7cee152262d4e518f79eed7b58ebe53eCAS |
Zuur, A., Ieno, E. N., Walker, N., Saveliev, A. A., and Smith, G. M. (2009). ‘Mixed Effects Models and Extensions in Ecology with R.’ (Springer Science & Business Media: New York, NY, USA.)
