Reviews in Fish Biology and Fisheries

, Volume 28, Issue 3, pp 567–586 | Cite as

Post-release fishing mortality of blue (Prionace glauca) and silky shark (Carcharhinus falciformes) from a Palauan-based commercial longline fishery

  • Michael K. MusylEmail author
  • Eric L. Gilman
Research Paper


Accounting for components of fishing mortality, including post-release mortality (Fr), is necessary for robust assessments of the effects of fishing. Forty-eight blue (Prionace glauca) and 35 silky sharks (Carcharhinus falciformes) were tagged with pop-up satellite archival tags to monitor Fr rates from pelagic longline vessels in the western tropical Pacific Ocean. There is a paucity of Fr studies at low latitudes and identifying factors that significantly explain Fr is critical for understanding fishing mortality. Mean Fr rates were 0.17 [95% CI 0.09–0.30] for blue shark and 0.20 [95% CI 0.10–0.36] for silky shark. When it occurred, Fr was acute with 87% of mortalities within 2 days of release. Several prognostic operational, environmental, biological and handling variables were evaluated to assess their influence on survival outcomes. Using Kaplan–Meier survival curves, logistic regression, accelerated failure time and Cox proportional hazards models to screen variables, the only significant prognostic or risk variable was health condition at haulback. There was close correspondence (~ 83% accuracy) between condition at capture and survival outcomes. Reliable methods to classify at-vessel condition represent an inexpensive and simple metric for estimating both Fr and at-vessel (Fc) mortality rates. Examining Fc rates in detail in longline fisheries using capture information on depth, temperature and dissolved oxygen that may act in synergy with condition code and hooking duration is a research priority. Results suggest that a large proportion of shark survive following release and that Fr rates can be increased by improving the haulback condition of captured sharks.


Bycatch Condition Discard Fishing mortality Pelagic sharks Prognostic variables Risk 



We are grateful for at-sea data collection and tagging conducted by Ivan Sesebo and Sone Misross, MRAG Asia Pacific. We are thankful for the participation of Captains Zhang Ding Xin, Lin Quan Gui and Lu Jing De; and crew of F/V SLC901 and F/V HNY769. Logistical support was kindly provided by Terry Huang, Palau International Traders Inc.; Derrick Wang, Luen Thai Fishing Venture; Shane McGrath, MRAG Asia Pacific; Mark Zimring, Lotus Vermeer, Yvonne Ueda, Bibbie Kumangai, Steven Victor and Noah Idechong, The Nature Conservancy and Hon. F. Umiich Sengebau, Minister of Natural Resources, Environment and Tourism, Bureau of Marine Resources, Palau. We thank two anonymous reviewers for making suggestions that greatly improved the manuscript and Joe Liddle for running the SAS code.


A grant from The Nature Conservancy Indo-Pacific Tuna Program made this study possible.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Research activities

Project personnel were granted permission to conduct research and tagging activities under the auspices of Hon. F. Umiich Sengebau, Minister of Natural Resources, Environment and Tourism, Bureau of Marine Resources, Palau.

Supplementary material

11160_2018_9517_MOESM1_ESM.docx (2.5 mb)
Supplementary material 1 (DOCX 2586 kb)


  1. Achhammer BG, Reinhart FW, Kline GM (1951) Mechanism of the degradation of polyamides. J Res Nat Bur Stan 46(5):391–421CrossRefGoogle Scholar
  2. Adams DH, Borucinska JD, Maillett K, Whitburn K, Sander TE (2015) Mortality due to a retained circle hook in a longfin mako shark Isurus paucus (Guitart-Manday). J Fish Dis 38:621–628. PubMedCrossRefGoogle Scholar
  3. Agresti A (2002) Categorical data analysis, 2nd edn. Wiley, HobokenCrossRefGoogle Scholar
  4. Aires-da-Silva A, Taylor I, Punt AE, Gallucci VF, Kohler NE, Turner Turner PA, Briggs R, Hoey JJ (2005) A framework for estimating movement and fishing mortality rates of the blue shark, Prionace glauca, in the North Atlantic from tag-recapture data. Col Vol Sci Pap ICCAT 58:1073–1086Google Scholar
  5. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19:716–723CrossRefGoogle Scholar
  6. Allain V, Kerandel J, Andrefouet S, Magron F, Clark M, Kirby D, Muller-Karger F (2008) Enhanced seamount location database for the Western and Central Pacific Ocean: screening and crosschecking of 20 existing datasets. Deep-Sea Res I 55:1035–1047CrossRefGoogle Scholar
  7. Allison PD (2010) Survival analysis using SAS®: a practical guide, 2nd edn. SAS Institute, CaryGoogle Scholar
  8. Angilletta MJ Jr (2009) Thermal adaptation, a theoretical and empirical synthesis. Oxford University Press, OxfordCrossRefGoogle Scholar
  9. Awruch CA, Simpfendorfer C, Pankhurst NW (2011) Evaluation and use of a portable field kit for measuring whole-blood lactate in sharks. Mar Freshw Res 62:694–699CrossRefGoogle Scholar
  10. Bartholomew A, Bohnsack JA (2005) A review of catch-and-release angling mortality with implications for no-take reserves. Rev Fish Biol Fish 15:129–154CrossRefGoogle Scholar
  11. Baum JK, Worm B (2009) Cascading top-down effects of changing oceanic predator abundances. J Anim Ecol 78:699–714PubMedCrossRefGoogle Scholar
  12. Baum JK, Myers RA, Kehler DG, Worm B, Harley SJ, Doherty PA (2003) Collapse and conservation of shark populations in the Northwest Atlantic. Science 299:389–392PubMedCrossRefGoogle Scholar
  13. Bell JP, Satchell GH (1963) An undescribed unilateral ocular reflex in the dogfish Squalus acanthias L. Aust J Exp Biol Med Sci 41:221–234PubMedCrossRefGoogle Scholar
  14. Benoît HP, Hurlbut T, Chasse J, Jonsen ID (2012) Estimating fishery-scale rates of discard mortality using conditional reasoning. Fish Res 125–126:318–330CrossRefGoogle Scholar
  15. Benoît HP, Capizzano CW, Knotek RJ, Rudders DB, Sulikowski JA, Dean MJ, Hoffman W, Zemeckis DR, Mandelman JW (2015) A generalized model for longitudinal short- and long-term mortality data for commercial fishery discards and recreational fishery catch-and-releases. ICES J Mar Sci 72:1834–1847CrossRefGoogle Scholar
  16. Borucinska JD, Martin J, Skomal G (2001) Peritonitis and pericarditis associated with gastric perforation by a retained fishing hook in a blue shark (Prionace glauca). J Aquat Animal Health 13(4):347–354CrossRefGoogle Scholar
  17. Borucinska J, Kohler N, Natanson L, Skomal G (2002) Pathology associated with retained fishing hooks in blue sharks, Prionace glauca (L.), with implications for their conservation. J Fish Diseases 25(9):515–521CrossRefGoogle Scholar
  18. Braccini M, Van Rijn J, Frick L (2012) High post-capture survival for sharks, rays and chimaeras discarded in the main shark fishery of Australia? PLoS ONE 7(2):e32547. PubMedPubMedCentralCrossRefGoogle Scholar
  19. Brodziak J, Gedamke T, Porch C, Walter J, Courtney D, O’Malley J, Richards B (2012) A workshop on methods to estimate total and natural mortality rates using mean length observations and life history parameters. U.S. Dep. Commer., NOAA Tech. Memo., NOAA-TM-NMFS-PIFSC-32, 26 p. + AppendixGoogle Scholar
  20. Burgess MG, Polasky S, Tilman D (2013) Predicting overfishing and extinction threats in multispecies fisheries. Proc Natl Acad Sci 110:15943–15948. PubMedCrossRefGoogle Scholar
  21. Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer, New YorkGoogle Scholar
  22. Butcher PA, Peddemors VM, Mandelman JW, McGrath SP, Cullis BR (2015) At-vessel mortality and blood biochemical status of elasmobranchs caught in an Australian commercial longline fishery. Global Ecol Con 3:878–889. CrossRefGoogle Scholar
  23. Camhi MD (2008) Conservation status of pelagic elasmobranchs. In: Camhi MD, Pikitch EK, Babcock EA (eds) Sharks of the open ocean: biology, fisheries and conservation. Blackwell, Oxford, pp 397–417CrossRefGoogle Scholar
  24. Campana S, Joyce W, Manning M (2009a) Bycatch and discard mortality in commercially caught blue sharks Prionace glauca assessed using archival satellite pop-up tags. Mar Ecol Prog Ser 387:241–253. CrossRefGoogle Scholar
  25. Campana SE, Joyce W, Francis MP, Manning MJ (2009b) Comparability of blue shark mortality estimates for the Atlantic and Pacific longline fisheries. Mar Ecol Prog Ser 396:161–164CrossRefGoogle Scholar
  26. Campana SE, Joyce W, Fowler M, Showell M (2015) Discards, hooking, and post-release mortality of porbeagle (Lamna nasus), shortfin mako (Isurus oxyrinchus), and blue shark (Prionace glauca) in the Canadian pelagic longline fishery. ICES J Mar Sci. CrossRefGoogle Scholar
  27. Carey FG, Scharold JV (1990) Movements of blue sharks (Prionace glauca) in depth and course. Mar Biol 106:329–342CrossRefGoogle Scholar
  28. Carruthers EH, Schneider DC, Neilson JD (2009) Estimating the odds of survival and identifying mitigation opportunities for common bycatch in pelagic longline fisheries. Biol Conserv 142(11):2620–2630. CrossRefGoogle Scholar
  29. Carver RP (1978) The case against statistical significance testing. Harv Educ Rev 48(3):378–399. CrossRefGoogle Scholar
  30. Carver RP (1993) The case against statistical significance testing, revisited. J Exp Educ 61(4):287–292. CrossRefGoogle Scholar
  31. Clarke S, Sato M, Small C, Sullivan B, Inoue Y, Ochi D (2014) Bycatch in longline fisheries for tuna and tuna-like species: a global review of status and mitigation measures. FAO Fisheries and Aquaculture Technical Paper, N°588, 125 pp. FAO Fisheries and Aquaculture Technical Paper, 588, RomeGoogle Scholar
  32. Clarke CR, Karl SA, Horn RL, Bernard AM, Lea JL, Hazin FH, Prodöhl PA, Shivji MS (2015) Global mitochondrial DNA phylogeography and population structure of silky shark Carcharhinus falciformis. Mar Biol. CrossRefGoogle Scholar
  33. Collett D (2014) Modelling survival data in medical research, 3rd edn. Chapman and Hall, New YorkGoogle Scholar
  34. Cortés E (2002) Incorporating uncertainty into demographic modeling: application to shark populations and their conservation. Consev Biol 16:1048–1062CrossRefGoogle Scholar
  35. Courchamp F, Berec L, Gascoigne (2008) Allee effects in ecology and conservation. Oxford University Press, OxfordCrossRefGoogle Scholar
  36. Cowan N (2001) The magical number 4 in short term memory. A reconsideration of storage capacity. Behav Brain Sci 24(4):87–186. PubMedCrossRefGoogle Scholar
  37. Cox DR (1972) Regression models and life-tables. J R Stat Soc Ser B (Method) 34:187–220Google Scholar
  38. Dalziel AC, Rogers SM, Schulte PM (2009) Linking genotypes to phenotypes and fitness: how mechanistic biology can inform molecular ecology. Mol Ecol 18:4997–5017PubMedCrossRefGoogle Scholar
  39. Dapp DR, Walker TI, Huveneers C, Reina RD (2015) Respiratory mode and gear type are important determinants of elasmobranch immediate and post-release mortality. Fish Fish 17:507–524. CrossRefGoogle Scholar
  40. Dapp DR, Huveneers C, Walker TI, Drew M, Reina RD (2016) Moving from measuring to predicting bycatch mortality: predicting the capture condition of a longline-caught pelagic shark. Front Mar Sci 2:126. CrossRefGoogle Scholar
  41. Dapp DR, Huveneers C, Walker TI, Mandelman J, Kerstetter DW, Reina RD (2017) Using logbook data to determine the immediate mortality of blue sharks (Prionace glauca) and tiger sharks (Galeocerdo cuvier) caught in the commercial U.S. pelagic longline fishery. Fish Bull 115:27–41. CrossRefGoogle Scholar
  42. Davis MW (2002) Key principles for understanding fish bycatch discard mortality. Can J Fish Aquat Sci 59:1834–1843. CrossRefGoogle Scholar
  43. Diaz GA, Serafy JE (2005) Longline-caught blue shark (Prionace glauca): factors affecting the numbers available for live release Fish. Bull 103:720–724Google Scholar
  44. Dibattista JD, Feldheim KA, Garant D, Gruber SH, Hendry AP (2009) Evolutionary potential of a large marine vertebrate: quantitative genetic parameters in a wild population. Evolution 63:1051–1067. PubMedCrossRefGoogle Scholar
  45. Domeier ML, Dewar H, Nasby-Lucas N (2003) Mortality rate of striped marlin (Tetrapturus audax) caught with recreational tackle. Mar Freshw Res 54:435–445. CrossRefGoogle Scholar
  46. Dulvy NK, Baum JK, Clarke S, Compagno LVJ, Cortés E, Domingo A, Fordham S, Fowler S, Francis MP, Gibson C, Martínez J, Musick JA, Soldo A, Stevens JD, Valenti S (2008) You can swim but you can’t hide: the global status and conservation of oceanic pelagic sharks. Aquat Cons Mar Freshw Ecosys 18:459–482CrossRefGoogle Scholar
  47. Dulvy NK, Fowler SL, Musick JA, Cavanagh RD, Kyne PM, Harrison LR et al (2014) Extinction risk and conservation of the world’s sharks and rays. eLife 3:e00590. PubMedPubMedCentralCrossRefGoogle Scholar
  48. Eddy C, Brill R, Bernal D (2016) Rates of at-vessel mortality and post-release survival of pelagic sharks captured with tuna purse seines around drifting fish aggregating devices (FADs) in the equatorial eastern Pacific Ocean. Fish Res 174:109–117CrossRefGoogle Scholar
  49. Ellis PD (2010) The essential guide to effect sizes. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  50. Ellis JR, Phillips SRM, Poisson F (2016) A review of capture and post-release mortality of elasmobranchs. J Fish Biol. PubMedCrossRefGoogle Scholar
  51. Elshove-Bolk J, Mencl F, van Rijswijck BTF, Simons M, van Vugt AB (2007) Validation of the Emergency Severity Index (ESI) in self-referred patients in a European emergency department. Emerg Med J 24:170–174. PubMedPubMedCentralCrossRefGoogle Scholar
  52. Enberg K, Jørgensen C, Dunlop ES, Heino M, Dieckmann U (2009) Implications of fisheries-induced evolution for stock rebuilding and recovery. Evol Appl 2:394–414. PubMedPubMedCentralCrossRefGoogle Scholar
  53. Favaro B, Côté IM (2013) Do by-catch reduction devices in longline fisheries reduce capture of sharks and rays? A global meta-analysis. Fish Fish 16:300–309. CrossRefGoogle Scholar
  54. Filmalter JD, Capello M, Deneubourg JL, Cowley PD, Dagorn L (2013) Looking behind the curtain: quantifying massive shark mortality in fish aggregating devices. Front Ecol Environ 11:291–296. CrossRefGoogle Scholar
  55. Fowler SL (2016) Draft best practice mitigation guidelines for sharks and rays taken in purse-seine and long-line fisheries. First Workshop of the Conservation Working Group Bristol, United Kingdom, 31 October. Memorandum of Understanding on the conservation of migratory sharks. CMS/Sharks/CWG1/Doc.3.2Google Scholar
  56. French RP, Lyle J, Tracey S, Currie S, Semmens JM (2015) High survivorship after catch-and-release fishing suggests physiological resilience in the endothermic shortfin mako shark (Isurus oxyrinchus). Con Phys 3:1–15Google Scholar
  57. Frick LH, Reina RD, Walker TI (2010) Stress related physiological changes and post-release survival of Port Jackson sharks (Heterodontus portusjacksoni) and gummy sharks (Mustelus antarcticus) following gill-net and longline capture in captivity. J Exp Mar Biol Ecol 385:29–37. CrossRefGoogle Scholar
  58. Fry FEJ (1971) The effect of environmental factors on the physiology of fish. In: Hoar WS, Randall DJ (eds) Fish physiology. Academic Press, New York, pp 1–98Google Scholar
  59. Gallagher AJ, Kyne PM, Hammerschlag N (2012) Ecological risk assessment and its application to elasmobranch conservation and management. J Fish Biol 80:1727–1748PubMedCrossRefGoogle Scholar
  60. Gallagher AJ, Orbesen ES, Hammerschlag N, Serafy JE (2014) Vulnerability of oceanic sharks as pelagic longline bycatch. Glob Ecol Conserv 1:50–59. CrossRefGoogle Scholar
  61. Gallagher AJ, Staaterman ER, Cooke SJ, Hammerschlag N (2017) Behavioral responses to fisheries capture among sharks caught using experimental fishery gear. Can J Fish Aquat Sci 74:1–7. CrossRefGoogle Scholar
  62. Genner MJ, Sims DW, Southwood AJ, Budd GC, Masterson P, McHugh M, Rendle P, Southall EJ, Wearmouth VJ, Hawkins SJ (2009) Body size-dependent responses of a marine fish assemblage to climate change and fishing over a century-long scale. Glob Change Biol. CrossRefGoogle Scholar
  63. Gilman EL (2011) Bycatch governance and best practice mitigation technology in global tuna fisheries. Mar Policy 35:590–609CrossRefGoogle Scholar
  64. Gilman E, Suuronen P, Hall M, Kennelly S (2013) Causes and methods to estimate cryptic sources of fishing mortalitya. J Fish Biol 83(4):766–803. PubMedCrossRefGoogle Scholar
  65. Gilman E, Owens M, Kraft T (2014) Ecological risk assessment of the Marshall Islands longline tuna fishery. Mar Pol 44:239–255. CrossRefGoogle Scholar
  66. Gilman E, Chaloupka M, Merrifield M, Malsol ND, Cook C (2015) Standardized catch and survival rates, and effect of a ban on shark retention, Palau pelagic longline fishery. Aquat Con Mar Freshw Ecosys. CrossRefGoogle Scholar
  67. Gilman E, Chaloupka M, Swimmer Y, Piovano S (2016) A cross-taxa assessment of pelagic longline by-catch mitigation measures: conflicts and mutual benefits to elasmobranchs. Fish Fish 17:748–784. CrossRefGoogle Scholar
  68. Gilman E, Chaloupka M, Musyl M (2017) Effects of pelagic longline hook size on species- and size-selectivity and survival. Rev Fish Biol Fisheries.
  69. Graves JE, Horodysky AZ (2008) Does hook choice matter? Effects of three circle hook models on postrelease survival of white marlin. N Am J Fish Manag 28:471–480. CrossRefGoogle Scholar
  70. Graves JE, Horodysky AZ (2010) Asymmetric conservation benefits of circle hooks in multispecies billfish recreational fisheries: a synthesis of hook performance and analysis of blue marlin (Makaira nigricans) postrelease survival. Fish Bull 108:433–441Google Scholar
  71. Graves JE, Luckhurst BE, Prince ED (2002) An evaluation of pop-up satellite tags for estimating postrelease survival of blue marlin (Makaira nigricans) from a recreational fishery. Fish Bull 100:134–142Google Scholar
  72. Graves JE, Marcek BJ, Goldsmith WM (2016) Effects of air exposure on postrelease mortality rates of white marlin caught in the U.S. offshore recreational fishery. N Am J Fish Manag 36:1221–1228CrossRefGoogle Scholar
  73. Guida L (2016) The effects of fishing on Chondrichthyans. Dissertation, Monash UniversityGoogle Scholar
  74. Harrell FE Jr (2001) Regression modelling strategies. Springer, New YorkCrossRefGoogle Scholar
  75. Heberer C, Aalbers SA, Bernal D, Kohin S, DiFiore B, Sepulveda CA (2010) Insights into catch-and-release survivorship and stress-induced blood biochemistry of common thresher sharks (Alopias vulpinus) captured in the southern California recreational fishery. Fish Res 106:495–500. CrossRefGoogle Scholar
  76. Heino M, Díaz Pauli B, Dieckmann U (2015) Fisheries-induced evolution. Ann Rev Ecol Evol Syst 46:461–480CrossRefGoogle Scholar
  77. Heithaus MR, Frid A, Wirsing AJ, Worm B (2008) Predicting ecological consequences of marine top predator declines. Trends Ecol Evol 23:202–210. PubMedCrossRefGoogle Scholar
  78. Hight BV, Holts D, Graham JB, Kennedy BP, Taylor V, Sepulveda CA, Bernal D, Ramon D, Rasmussen R, Lai NC (2007) Plasma catecholamine levels as indicators of the post-release survivorship of juvenile pelagic sharks caught on experimental drift longlines in the Southern California Bight. Mar Freshw Res 58:145. CrossRefGoogle Scholar
  79. Hilbe J (2016) Practical guide to logistic regression. CRC Press, New YorkGoogle Scholar
  80. Hilborn R, Walters CJ (1992) Quantitative fisheries stock assessment: choice, dynamics and uncertainty. Chapman and Hall, New YorkCrossRefGoogle Scholar
  81. Hobday AJ, Smith ADM, Stobutzki IC, Bulman C, Daley R, Dambacher JM et al (2011) Ecological risk assessment for the effects of fishing. Fish Res 108:372–384. CrossRefGoogle Scholar
  82. Hochachka PW, Somero GN (2002) Biochemical adaptation, mechanism and process in physiological evolution. Oxford University Press, OxfordGoogle Scholar
  83. Holden MJ (1973) Are long-term sustainable fisheries for elasmobranchs possible? Rapp P.-V. Réun Cons Int Explor Mer 64:360–367Google Scholar
  84. Hollins J, Thambithurai D, Köeck B, Crespel A, Bailey DM, Cooke SJ, Lindström J, Parsons KJ, Killen SS (2018) A physiological erspective on fisheries-induced evolution. Ecol Apps. CrossRefGoogle Scholar
  85. Hosmer DW, Lemeshow S (1999) Applied survival analysis. Wiley, New YorkGoogle Scholar
  86. Howey LA, Wetherbee BM, Tolentino ER, Shivji MS (2017) Biogeophysical and physiological processes drive movement patterns in a marine predator. Mov Ecol 5:16. PubMedPubMedCentralCrossRefGoogle Scholar
  87. Hueter RE, Manire CA, Tyminski JP, Hoenig JM, Hepworth DA (2006) Assessing mortality of released or discarded fish using a logistic model of relative survival derived from tagging data. Trans Am Fish Soc 135:500–508CrossRefGoogle Scholar
  88. Hutchinson MR, Itano DG, Muir JA, Holland KN (2015) Post-release survival of juvenile silky sharks captured in a tropical tuna purse seine fishery. Mar Ecol Prog Ser 521:143–154. CrossRefGoogle Scholar
  89. ICCAT (2011) Recommendation by ICCAT on the conservation of silky sharks caught in association with ICCAT fisheries recommendation 11-08. International Commission for the Conservation of Atlantic Tunas, MadridGoogle Scholar
  90. Jackson JBC, Kirby MX, Berger WH, Bjorndal KA, Botsford LW, Bourque BJ, Bradbury RH, Cooke R, Erlandson J, Estes JA, Hughes TP, Kidwell S, Lange CB, Lenihan HS, Pandolfi JM, Peterson CH, Steneck RS, Tegner MJ, Warner RR (2001) Historical overfishing and the recent collapse of coastal ecosystems. Science 293:629–638PubMedCrossRefGoogle Scholar
  91. James JC, Lewison RL, Dillingham PW, Curtis KA, Moore JE (2016) Drivers of retention and discards of elasmobranch non-target catch. Environ Conserv 43:3–12. CrossRefGoogle Scholar
  92. Jørgensen C, Ernande B, Fiksen Ø, Dieckmann U (2006) The logic of skipped spawning in fish. Can J Fish Aquat Sci 63:200–211CrossRefGoogle Scholar
  93. Jørgensen C, Ernande B, Fiksen Ø (2009) Size-selective fishing gear and life history evolution in the Northeast Arctic cod. Evol Apps 2:356–370CrossRefGoogle Scholar
  94. Kalbfleisch JD, Prentice RL (1980) The statistical analysis of failure time data. Wiley, New YorkGoogle Scholar
  95. Kelleher K (2005) Discards in the world’s marine fisheries. An update. FAO Fisheries Technical Paper. No. 470. Rome, FAOGoogle Scholar
  96. Kerstetter DW, Graves JE (2008) Postrelease survival of sailfish caught by commercial pelagic longline gear in the southern Gulf of Mexico. N Am J Fish Mgmt 28(5):1578–1586. CrossRefGoogle Scholar
  97. Kerstetter DW, Polovina JJ, Graves JE (2004) Evidence of shark predation and scavenging on fishes equipped with pop-up satellite archival tags. Fish Bull 102:750–756Google Scholar
  98. Kleinbaum DG, Klein M (2005) Survival analysis, a self-learning text, 2nd edn. Springer, New YorkGoogle Scholar
  99. Kuparinen A, Kuikka S, Merilä J (2009) Estimating fisheries-induced selection: traditional gear selectivity research meets fisheries-induced evolution. Evol App 2:234–243. CrossRefGoogle Scholar
  100. Law R (2000) Fishing, selection, and phenotypic evolution. ICES J Mar Sci 57:659–668. CrossRefGoogle Scholar
  101. Lee ET, Wang JW (2003) Statistical methods for survival data analysis. Wiley, HobokenCrossRefGoogle Scholar
  102. Li W, Dai X, Zhu J, Tian S, He S, Wu F (2017) Genetic differentiation in blue shark, Prionace glauca, from the central Pacific Ocean, as inferred by mitochondrial cytochrome b region. Mitochondrial DNA Part A 28(4):575–578. CrossRefGoogle Scholar
  103. Lotti MJ, Wetherbee BM, Grace MA, Driggers WB (2011) Factors influencing at-vessel shark mortality during fishery-independent bottom longline surveys in the U. S. Gulf of Mexico and the western North Atlantic Ocean. A major paper submitted in partial fulfillment of the requirements for the degree Master of Environmental Science and Management, University of Rhode IslandGoogle Scholar
  104. Lozano LM, García-Cueto E, Muñiz J (2008) Effect of the number of response categories on the reliability and validity of rating scales. Methodology 4:73–79. CrossRefGoogle Scholar
  105. Machin D, Campbell MJ, Tan SB, Tan SH (2009) Sample size tables for clinical studies, 3rd edn. Wiley-Blackwell, ChichesterGoogle Scholar
  106. Mandelman JW, Skomal GB (2009) Differential sensitivity to capture stress assessed by blood acid-base status in five carcharhinid sharks. J Comp Physiol B Biochem Syst Environ Physiol 179:267–277CrossRefGoogle Scholar
  107. Marçalo A, Marques TA, Araújo J, Pousão-Ferreira P, Erzini K, Stratoudakis Y (2010) Fishing simulation experiments for predicting the effects of purse-seine capture on sardine (Sardina pilchardus). ICES J Mar Sci 67:334–344CrossRefGoogle Scholar
  108. Marshall H, Field L, Afiadata A, Sepulveda C, Skomal G, Bernal D (2012) Hematological indicators of stress in longline-captured sharks. Comp Biochem Physiol Part A 162:121–129CrossRefGoogle Scholar
  109. Marshall H, Skomal G, Ross PG, Bernal D (2015) At-vessel and post-release mortality of dusky (Carcharhinus obscurus) and sandbar (C. plumbeus) sharks after longline capture. Fish Res 172:373–384CrossRefGoogle Scholar
  110. Meeker WQ, Escobar LA (1999) Statistical methods for reliability data. Wiley, New YorkGoogle Scholar
  111. Meeremans P, Yochum N, Kochzius M, Tuyttens FAM, Uhlmann SS (2017) Inter-rater reliability of categorical versus continuous scoring of fish vitality: does it affect the utility of the reflex action mortality predictor (RAMP) approach? PLoS ONE 12:e0179092. PubMedPubMedCentralCrossRefGoogle Scholar
  112. Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev 63:81–97. PubMedCrossRefGoogle Scholar
  113. Molin G (1959) Test with PA fishing tackle in Swedwash inland fisheries. In: Krwastjonsson H (ed) Modern fishing gear of the world, vol 1. Fishing News Books Ltd., London, pp 156–158Google Scholar
  114. Molina JM, Cooke SJ (2012) Trends in shark bycatch research: current status and research needs. Rev Fish Biol Fish 22:719–737. CrossRefGoogle Scholar
  115. Morgan A, Burgess GH (2007) At-vessel fishing mortality for six species of sharks caught in the Northwest Atlantic and Gulf of Mexico. Gulf Carib Res 19:123–129. CrossRefGoogle Scholar
  116. Morgan A, Carlson JK (2010) Capture time, size and hooking mortality of bottom longline-caught sharks. Fish Res 101:32–37CrossRefGoogle Scholar
  117. Motta PJ, Wilga CD (2001) Advances in the study of feeding behaviors, mechanisms, and mechanics of sharks. Environ Biol Fish 60:131–156CrossRefGoogle Scholar
  118. Moyes CD, Fragoso NM, Musyl MK, Brill RW (2006) Predicting postrelease survival in large pelagic fish. Trans Am Fish Soc 135:1389–1397. CrossRefGoogle Scholar
  119. Muoneke MI, Childress WM (1994) Hooking mortality: a review for recreational fisheries. Rev Fish Sci 2:123–156. CrossRefGoogle Scholar
  120. Musyl MK, Moyes CD, Brill RW, Fragoso NM (2009) Factors influencing mortality estimates in post-release survival studies. Mar Ecol Prog Ser 396:157–159. CrossRefGoogle Scholar
  121. Musyl MK, Brill RW, Curran DS, McNaughton LM, Kikkawa B, Fragoso N, Moyes CD (2011a) Postrelease survival, vertical movements and thermal niche partitioning in five species pelagic sharks released from longline fishing gear in the central Pacific Ocean. Fish Bull 109:341–368Google Scholar
  122. Musyl MK, Domeier ML, Nasby-Lucas N, Brill RW, McNaughton LM, Swimmer JY, Lutcavage MS, Wilson SG, Galuardi B, Liddle JB (2011b) Performance of pop-up satellite archival tags. Mar Ecol Prog Ser 433:1–28. CrossRefGoogle Scholar
  123. Musyl MK, Moyes CD, Brill RW, Mourato BL, West A, McNaughton LM, Chiang W-C, Sun C-L (2015) Postrelease mortality in istiophorid billfish. Can J Fish Aquat Sci 72:1–19. CrossRefGoogle Scholar
  124. Myers RA, Baum JK, Shepherd TD, Powers SP, Peterson CH (2007) Cascading effects of the loss of apex predatory sharks from a coastal ocean. Science 315:1846–1850PubMedCrossRefGoogle Scholar
  125. Ogundimu EO, Altman DG, Collins GS (2016) Adequate sample size for developing prediction models is not simply related to events per variable. J Clin Epidem 76:175–182. CrossRefGoogle Scholar
  126. Oliver S, Braccini M, Newman SJ, Harvey ES (2015) Global patterns in the bycatch of sharks and rays. Mar Pol 54:86–97. CrossRefGoogle Scholar
  127. Parga ML (2012) Hooks and sea turtles: a veterinarian’s perspective. Bull Mar Sci 88:731–741CrossRefGoogle Scholar
  128. Pauly D, Zeller D (2016) Catch reconstructions reveal that global marine fisheries catches are higher than reported and declining. Nat Commun 7:10244. PubMedPubMedCentralCrossRefGoogle Scholar
  129. Peduzzi P, Concato J, Feinstein AR, Holford TR (1995) Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol 48:1503–1510PubMedCrossRefGoogle Scholar
  130. Perdersen EJ, Thompson PL, Ball AR, Fortin M-J, Gouhier TC, Link H, Moritz C, Nenzen H, Stanley RRE, Taranu ZE, Gonzalez A, Guichard F, Pepin P (2017) Signatures of the collapse and incipient recovery of an overexploited marine ecosystem. R Soc 4:170215. CrossRefGoogle Scholar
  131. Poisson F, Gaertner J-C, Taquet M, Durbec J-P, Bigelow D (2010) Effects of lunar cycle and fishing operations on longline-caught pelagic fish: fishing performance, capture time, and survival of fish. Fish Bull 108:268–281Google Scholar
  132. Poisson F, Filmalter JD, Vernet A, Dagorn L (2014) Mortality rate of silky sharks (Carcharhinus falciformis) caught in the tropical tuna purse seine fishery in the Indian Ocean. Can J Fish Aquat Sci 71:795–798CrossRefGoogle Scholar
  133. Poisson F, Crespo FA, Ellis JR, Chavance P, Pascal B, Santos MN, Séret B, Korta M, Coelho R, Ariz J, Murua H (2016) Technical mitigation measures for sharks and rays in fisheries for tuna and tuna-like species: turning possibility into reality. Aquat Liv Res 29:45. CrossRefGoogle Scholar
  134. Powers DA, Place AR (1978) Biochemical genetics of Fundulus heteroclitus: temporal and spatial variation in gene frequencies of LDH-B, MDH-A, GPI-B, and PGM-A. Biochem Genet 16:593–607PubMedCrossRefGoogle Scholar
  135. Powers DA, Laureman T, Crawford D, Dimichele L (1991) Genetic mechanisms for adapting to a changing environment. Ann Rev Genet 25:629–659PubMedCrossRefGoogle Scholar
  136. Preston CC, Colman AM (2000) Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences. Acta Physiol (Oxf) 104:1–15Google Scholar
  137. Punt AE, Smith DC, Tuck GN, Methot RD (2006) Including discard data in fisheries stock assessments: two case studies from south-eastern Australia. Fish Res 79:239–250CrossRefGoogle Scholar
  138. Rice J, Harley S (2013) Updated stock assessment of silky sharks in the Western and Central Pacific Ocean. WCPFC-SC9-2013/SA-WP-03Google Scholar
  139. Rice J, Semba Y (2014) Age and sex specific natural mortality of the blue shark (Prionace glauca) in the North Pacific. WCPFC‐SC9‐2014/SA‐IP‐13, ISC/14/SHARKWG-1/03Google Scholar
  140. Rice J, Harley S, Kai M (2014) Stock assessment of blue shark in the North Pacific using stock synthesis. WCPFC‐SC10‐2014/SA‐WP‐08, ISC/14/SHARKWG‐2/02Google Scholar
  141. Ryan T (2013) Sample size determination and power. Wiley, HobokenCrossRefGoogle Scholar
  142. Sauls B (2014) Relative survival of gags Mycteroperca microlepis released within a recreational hook-and-line fishery: application of the Cox Regression Model to control for heterogeneity in a large-scale mark–recapture study. Fish Res 150:18–27CrossRefGoogle Scholar
  143. Schindler DE, Essington TE, Kitchell JF, Boggs C, Hilborn R (2002) Sharks and tunas: fisheries impacts on predators with contrasting life histories. Ecol Appl 12:735–748CrossRefGoogle Scholar
  144. Schlenker LS, Latour RJ, Brill RW, Graves JE (2016) Physiological stress and post-release mortality of white marlin (Kajikia albida) caught in the United States recreational fishery. Conserv Physiol 4:1–15. CrossRefGoogle Scholar
  145. Sepulveda CA, Heberer C, Aalbers SA, Spear N, Kinney M, Bernal D, Kohin S (2015) Post-release survivorship studies on common thresher sharks (Alopias vulpinus) captured in the southern California recreational fishery. Fish Res 161:102–108CrossRefGoogle Scholar
  146. Simpfendorfer CA, Dulvy NK (2017) Bright spots of sustainable shark fishing. Curr Biol 27:R83–R102. CrossRefGoogle Scholar
  147. Stevens J (2000) The effects of fishing on sharks, rays, and chimaeras (chondrichthyans), and the implications for marine ecosystems. ICES J Mar Sci 57:476–494. CrossRefGoogle Scholar
  148. Stevens JD, Bradford RW, West GJ (2009) Satellite tagging of blue sharks (Prionace glauca) and other pelagic sharks off eastern Australia: depth behaviour, temperature experience and movements. Mar Biol. CrossRefGoogle Scholar
  149. Sutter DA, Suski CD, Philipp DP, Klefoth T, Wahl DH, Kersten P, Cooke SJ, Arlinghaus R (2012) Recreational fishing selectively captures individuals with the highest fitness potential. Proc Natl Acad Sci 109:20960–20965. PubMedCrossRefGoogle Scholar
  150. Taguchi M, King JR, Wetklo M, Withler RE, Yokawa K (2017) Population genetic structure and demographic history of Pacific blue sharks (Prionace glauca) inferred from mitochondrial DNA analysis. Mar Freshw Res 66:267–275. CrossRefGoogle Scholar
  151. Thomas SN, Hridayanathan C (2006) The effect of natural sunlight on the strength of polyamide 6 multifilament and monofilament fishing net materials. Fish Res 81:326–330CrossRefGoogle Scholar
  152. Viana M, Graham N, Wilson JG, Jackson AL (2011) Fishery discards in the Irish Sea exhibit temporal oscillations and trends reflecting underlying processes at an annual scale. ICES J Mar Sci 68:221–227CrossRefGoogle Scholar
  153. Viana M, McNally L, Graham N, Reid DG, Jackson AL (2013) Ignoring discards biases the assessment of fisheries’ ecological fingerprint. Biol Lett 9:20130812. PubMedPubMedCentralCrossRefGoogle Scholar
  154. Walsh WA, Bigelow KA, Sender KL (2009) Decreases in shark catches and mortality in the Hawaii-based longline fishery as documented by fishery observers. Mar Coast Fisheries 1(1):270–282CrossRefGoogle Scholar
  155. WCPFC (2013) Conservation and management measure for silky sharks. CMM 2013-08. Western and Central Pacific Fisheries Commission, Kolonia, Federated States of MicronesiaGoogle Scholar
  156. Wells RS, Hofmann S, Moors TL (1998) Entanglement and mortality of bottlenose dolphins, Tursiops truncates, in recreational fishing gear in Florida. Fish Bull 96:647–650Google Scholar
  157. Weng KC, Castilho PC, Morrissette JM, Landeira-Fernandez AM, Holts DB, Schallert RJ, Goldman KJ, Block BA (2005) Satellite tagging and cardiac physiology reveal niche expansion in salmon sharks. Science 310:104–106PubMedCrossRefGoogle Scholar
  158. Worm B, Davis B, Kettemer L, Ward-Paige CA, Chapman D, Heithaus MR, Kessel ST, Gruber SH (2013) Global catches, exploitation rates, and rebuilding options for sharks. Mar Pol 40:194–204. CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Pelagic Research Group LLCHonoluluUSA
  2. 2.Hawaii Pacific University and The Nature ConservancyHonoluluUSA

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