Harvest Control Rules

  • Seiji OhshimoEmail author
  • Takashi Yamakawa
Part of the Fisheries Science Series book series (FISHSS)


Harvest control rules (HCRs) and management procedures (MPs) are used after stock assessment to determine the desirable amount of catch to achieve specified management objectives. These rules play a core role in linking the scientific stock assessment and practical fisheries management activities. Robust HCRs with respect to uncertainties are required for sustainable resource management, especially in light of the uncertainties inherent with fluctuating environmental conditions and climate systems. HCRs have to be evaluated to ensure that they maintain optimal biological production, stock size, and economic efficiency, but these objectives are not always compatible. Recently, a management strategy evaluation (MSE) framework for fisheries resource management has been developed that creates operating models (OMs) to simulate virtual population dynamics and evaluates the performance of the HCRs based on different strategies. We discuss feedback HCRs, which are one of the most effective strategies to manage fluctuating fisheries stocks. Feedback HCRs are empirical approaches to adjusting fishing intensity by sequentially updating information through the continuous monitoring of the state of the target stocks in response to present management activities. We also show a case study to test the performance of feedback HCRs with the aim of applying them to manage Japanese fish stocks and recommend allowable biological catches (ABCs).


Adaptive management Climate change Feedback control Harvest control rule Management objective Management procedure Management strategy evaluation Operating model 



We thank Drs. Akihiko Yatsu and Yoshiaki Hiyama who helped develop the operating model. Drs. Kazuhiko Hiramatsu and Tatsuro Akamine also provided technical help in developing the model. Drs. Hiroshi Okamura, Momoko Ichinokawa, Hiroyuki Kurota, Hiroshige Tanaka, and Mrs. Miyako Naya rectified the programs of the operating model.


  1. Australian Government, Department of Agriculture Fisheries And Forestry (2007) Commonwealth fisheries harvest strategy policy and guidelines, AustraliaGoogle Scholar
  2. Barange M, Merino G, Blanchard JL, Scholtens J, Harle J, Allison EH, Allen JI, Holt J, Jennings S (2014) Impacts of climate change on marine ecosystem production in societies dependent on fisheries. Nat Clim Chang 4:211–216CrossRefGoogle Scholar
  3. Bone Q, Marshall NB, Blaxter JHS (1995) Biology of fishes. Chapman and Hall, LondonCrossRefGoogle Scholar
  4. Bunnefeld N, Hoshino E, Milner-Gulland EJ (2011) Management strategy evaluation: a powerful tool for conservation? Trends Ecol Evol 26:441–447CrossRefGoogle Scholar
  5. Butterworth DS (2007) Why a management procedure approach? Some positives and negatives. ICES J Mar Sci 64:613–617CrossRefGoogle Scholar
  6. Butterworth DS, Bergh MO (1993) The development of management procedure for the South African anchovy resource. In: Smith SJ, Hunt JJ, Rivard D (eds) Risk evaluation and biological reference points for fisheries management. Fisheries and Oceans Canada, Ottawa, pp 83–99Google Scholar
  7. Butterworth DS, Bergh MO (1993) The development of management procedure for the South African anchovy resource. In: Smith SJ, Hunt JJ, Rivard D (eds) Risk evaluation and biological reference points for fisheries management. Fisheries and Oceans Canada, Ottawa, pp 83–99Google Scholar
  8. Caddy JF, Seijo JC (2005) This is more difficult than we thought! The responsibility of scientists, managers and stakeholders to mitigate the unsustainability of marine fisheries. Philos Trans R Soc B 360:59–75CrossRefGoogle Scholar
  9. Chavez FP, Ryan J, Lluch-Cota SE, Ñiquen CM (2003) From anchovies to sardines and back: multidecadal change in the Pacific Ocean. Science 299:217–221CrossRefPubMedGoogle Scholar
  10. Cheung WL, Watson R, Pauly D (2013) Signature of ocean warming in global fisheries catch. Nature 497:365–369CrossRefPubMedGoogle Scholar
  11. Christensen V, Walters CJ (2004) Ecopath with Ecosim: methods, capabilities and limitations. Ecol Model 172:109–139CrossRefGoogle Scholar
  12. Cochrane KL (2000) Reconciling sustainability, economic efficiency and equity in fisheries: the one that got away? Fish Fish 1:3–21CrossRefGoogle Scholar
  13. Cochrane KL, Butterworth DS, Oliveira JAA, Roel BA (1998) Management procedures in a fishery based on highly variable stocks and with conflicting objectives: experiences in the South African pelagic fishery. Rev Fish Biol Fish 8:177–214CrossRefGoogle Scholar
  14. Commission for the Conservation of Southern Bluefin Tuna (2011) Evaluation of stock status with respect reference points. Rep. 16th Meet. Sci. Comm., 19–29Google Scholar
  15. Deroba JJ, Bence JR (2008) A review of harvest policies: understanding relative performance of control rules. Fish Res 94:210–223CrossRefGoogle Scholar
  16. Edwards CTT, Dankel DJ (eds) (2016) Management science in fisheries. Routledge, Oxon/New YorkGoogle Scholar
  17. FAO (2014) World review of fisheries and aquaculture. pp 96Google Scholar
  18. Francis RC, Hare SR (1994) Decadal-scale regime shifts in the large marine ecosystems of the Northeast Pacific: a case for historical science. Fish Oceanogr 3:279–291CrossRefGoogle Scholar
  19. Froese R, Branch TA, Proelβ A, Quaas M, Sainsbury K, Zimmermann C (2011) Generic harvest control rules for European fisheries. Fish Fish 12:340–351CrossRefGoogle Scholar
  20. Fulton EA, Smith ADM, Smith DC, Johnson P (2014) An integrated approach is needed for ecosystem based fisheries management: insights from ecosystem-level management strategy evaluation. PLoS ONE 9(1):e84242: 1–16CrossRefGoogle Scholar
  21. Geromont HF, Þ JAA O, Johnston SJ, Cunningham CL (1999) Development and application of management procedures for fisheries in south Africa. ICES J Mar Sci 56:952–966CrossRefGoogle Scholar
  22. Hall DL, Hilborn R, Stocker M, Walters CJ (1988) Alterative harvest strategies for Pacific herring (Clupea harengus pallasi). Can J Fish Aquat Sci 45:888–897CrossRefGoogle Scholar
  23. Haltuch MA, Punt AE, Dorn MW (2009) Evaluating the estimation of fishery management reference points in a variable environment. Fish Res 100:42–56CrossRefGoogle Scholar
  24. Hauser L, Adcock GJ, Smith PJ, Bernal Ramírez JH, Carvalho GR (2002) Loss of microsatellite diversity and low effective population size in an overexploited population of New Zealand snapper (Pagrus auratus). Proc Natl Acad Sci USA 99:11742–11747CrossRefPubMedGoogle Scholar
  25. Hilborn R (2007) Defining success in fisheries and conflicts in objectives. Mar Pol 31:153–158CrossRefGoogle Scholar
  26. Hilborn R, Mangel M (1997) The ecological detective. Princeton University Press, Princeton, p 315Google Scholar
  27. Hilborn R, Walters CJ (1992) Quantitative fisheries stock assessment, choice, dynamics & uncertainty. Springer, New YorkCrossRefGoogle Scholar
  28. Hillary RM, Preece AL, Davies CR, Kurota H, Sakai O, Itoh T, Parma AM, Butterworth DS, Ianelli J, Branch TA (2016) A scientific alternative to moratoria for rebuilding depleted international tuna stocks. Fish Fish 17:469–482CrossRefGoogle Scholar
  29. Hiramatsu K (2004) Evaluation of the ABC decision rule by the operating model approach. Nippon Suisan Gakkaishi 70:879–883 (in Japanese with English summary)CrossRefGoogle Scholar
  30. Hiyama Y, Yoda M, Ohshimo S (2002) Stock size fluctuations in chub mackerel (Scomber japonicus) in the East China Sea and the Japan/East Sea. Fish Oceanogr 11:347–353CrossRefGoogle Scholar
  31. Hollowed AB, Barange M, Beamish RJ, Brander K, Cochrane K, Drinkwater K, Foreman MGG, Hare JA, Holt J, Ito S, Kim S, King JR, Loeng H, MacKenzie BR, Mueter FJ, Okey TA, Peck MA, Radchenko VI, Rice JC, Schirripa MJ, Yatsu A, Yamanaka Y (2013) Projected impacts of climate change on marine fish and fisheries. ICES J Mar Sci 70:1023–1037CrossRefGoogle Scholar
  32. Horbowy J (2011) Comparison of stock management with production, difference, and age-structured models using operating models. Fish Res 108:153–162CrossRefGoogle Scholar
  33. Hoshino E, Milner-Gulland EJ, Hillary RM (2012) Bioeconomic adaptive management procedures for short-lived species: a case study of Pacific saury (Cololabis saira) and Japanese common squid (Todarodes pacificus). Fish Res 121–122:17–30CrossRefGoogle Scholar
  34. Hurtado-Ferro F, Hiramatsu K, Shirakihara K (2010) Allowing for environmental effects in a management strategy evaluation for Japanese sardine. ICES J Mar Sci 67:2012–2017CrossRefGoogle Scholar
  35. Ichinokawa M, Okamura H, Kurota H, Yukami R, Tanaka H, Shibata Y, Ohshimo S (2015) Searching optimum management procedure by quantifying management objectives for the Japanese domestic fishery stocks without stock biomass estimation. Nippon Suisan Gakkaishi 81:206–218CrossRefGoogle Scholar
  36. Kawasaki T (1983) Why do some pelagic fishes have wide fluctuations in their numbers? FAO Fish Rep 291:1065–1080Google Scholar
  37. Kell LT, Pilling GM, O’Brien CA (2005) Implications of climate change for the management of North Sea cod (Gadus morhua). ICES J Mar Sci 62:1483–1491CrossRefGoogle Scholar
  38. Kurota H, Hiramatsu K, Takahashi N, Shono H, Itoh T, Tsuji S (2010) Developing a management procedure robust to uncertainty for southern bluefin tuna: a somewhat frustrating struggle to bridge the gap between ideals and reality. Popul Ecol 52:359–372CrossRefGoogle Scholar
  39. Lee WS, Monaghan P, Metcalfe NB (2013) Experimental demonstration of the growth rate – lifespan trade-off. Proc R Soc B 280:1–8Google Scholar
  40. Levin PS, Fogarty MJ, Murawski SA, Fluharty D (2009) Integrated ecosystem assessments: developing the scientific basis for ecosystem-based management of the ocean. Plos Biol 7:23–28CrossRefGoogle Scholar
  41. Makino M (2011) Fisheries management in Japan. Springer, TokyoCrossRefGoogle Scholar
  42. Mangel M (2000) Trade-offs between fish habitat and fishing mortality and the role of reserves. Bull Mar Sci 66:663–674Google Scholar
  43. Matsumiya Y (1996) An introduction to stock management. Suisan Kenkyu Sousho, 46, Tokyo (in Japanese with English summary)Google Scholar
  44. Milner-Gulland EJ (2011) Integrating fisheries approaches and household utility models for improved resource management. Proc Natl Acad Sci USA 108:1741–1746CrossRefPubMedGoogle Scholar
  45. Milner-Gulland EJ, Arroyo B, Bellard C, Blanchard J, Bunnefeld N, Delibes-Mateos M, Edwards C, Nuno A, Palazy L, Reljic S, Riera P, Skrbinsek T (2010) New directions in management strategy evaluation through cross-fertilization between fisheries science and terrestrial conservation. Biol Lett 6:719–722CrossRefPubMedPubMedCentralGoogle Scholar
  46. Narimatsu Y, Ueda Y, Okuda T, Hattori T, Fujiwara K, Ito M (2010) The effect of temporal changes in life-history traits on reproductive potential in an exploited populations of Pacific cod, Gadus macrocephalus. ICES J Mar Sci 67:1659–1666CrossRefGoogle Scholar
  47. Ohshimo S, Naya M (2014) Management strategy evaluation of fisheries resources in data-poor situations using an operating model based on production model. JARQ 48:237–244CrossRefGoogle Scholar
  48. Ohshimo S, Tanaka H, Hiyama Y (2009) Long-term stock assessment and growth changes of Japanese sardine Sardinops melanostictus in the East China Sea and Sea of Japan from 1953 to 2006. Fish Oceanogr 18:346–358CrossRefGoogle Scholar
  49. Ohshimo S, Gotoh T, Otsuka T, Gejima K (2011) Age, growth and reproductive characteristics of round herring Etrumeus teres in the East China Sea. Nippon Suisan Gakkaishi 77:15–22. (in Japanese with English summary)CrossRefGoogle Scholar
  50. Pikitch EK, Santora C, Babcock EA, Bakun A, Bonfil R, Conover DO, Dayton P, Doukakis P, Fluharty D, Heneman B, Houde ED, Link J, Livingston PA, Mangel M, McAllister MK, Pope J, Sainsbury KJ (2004) Ecosystem-based fishery management. Science 305:346–347CrossRefPubMedGoogle Scholar
  51. Punt AE (1993) The comparative performance of production model and ad hoc tuned VPA based feedback-control management procedures for the stock of Cape hake off the west coast of South Africa. In: Smith SJ, Hunt JJ, Rivard D (eds) Risk evaluation and biological reference points for fisheries management. Fisheries and Oceans Canada, Ottawa, pp 283–299Google Scholar
  52. Punt AE, Smith ADM (1999) Harvest strategy evaluation for the eastern stock of gemfish (Rexea solandri). ICES J Mar Sci 56:860–875CrossRefGoogle Scholar
  53. Punt AE, A’mar T, Bond NA, Butterworth DS, de Moor CL, De JAA O, Haltuch MA, Hollowed AB, Szuwalski C (2014) Fisheries management under climate and environmental uncertainty: control rules and performance simulation. ICES J Mar Sci 71:2208–2220CrossRefGoogle Scholar
  54. Restrepo VR, Powers JE (1999) Precautionary control rules in US fisheries management: specification and performance. ICES J Mar Sci 56:846–852CrossRefGoogle Scholar
  55. Sainsbury KJ, Punt AE, Smith ADM (2000) Design of operational management strategies for achieving fishery ecosystem objectives. ICES J Mar Sci 57:731–741CrossRefGoogle Scholar
  56. Schnute JT, Maunder MM, Ianelli JN (2007) Designing tools to evaluate fishery management strategies can the scientific community deliver? ICES J Mar Sci 64:1077–1084CrossRefGoogle Scholar
  57. Shelton AO, Mangel M (2011) Fluctuations of fish populations and the magnifying effects of fishing. Proc Natl Acad Sci USA 108:7075–7080CrossRefPubMedGoogle Scholar
  58. Shiraishi T, Okamoto K, Yoneda M, Sakai T, Ohshimo S, Onoe S, Yamaguchi A, Matsuyama M (2008) Age validation, growth and annual reproductive cycle of chub mackerel, Scomber japonicus, off waters of northern Kyushu and in the East China Sea. Fish Sci 74:947–954CrossRefGoogle Scholar
  59. Skagen DW, Skern-Mauritzen M, Dankel D, Enberg K, Kjesbu OS, Nash RDM (2013) A simulation framework for evaluating fisheries management decisions using environmental information. ICES J Mar Sci 70:743–754CrossRefGoogle Scholar
  60. Smith ADM, Fulton EJ, Hobday AJ, Smith DC, Shoulder P (2007) Scientific tools to support the practical implementations of ecosystem-based fisheries management. ICES J Mar Sci 64:633–639CrossRefGoogle Scholar
  61. Stefansson G, Rosenberg AA (2005) Combining control measures for more effective management of fisheries under uncertainty: quatas, effort limitation and protected areas. Phil Trans R Soc B 360:133–146CrossRefGoogle Scholar
  62. Suda M, Akamine T (1998) Effects of a feedback management on the resource production when recruitment fluctuates randomly. Bull Natl Res Inst Fish Sci 12:81–96Google Scholar
  63. Szuwalski CS, Punt AE (2013) Fisheries management for regime-based ecosystems: a management strategy evaluation for the snow crab fishery in the eastern Bering Sea. ICES J Mar Sci 70:955–967CrossRefGoogle Scholar
  64. Takenaka Y, Matsuda H (1997) Effect of age and season limits for maximum sustainable fisheries in age-structured model. Fish Sci 63:911–917CrossRefGoogle Scholar
  65. Tanaka S (1980) A theoretical consideration on the management of a stock-fishery system by catch quota and on its dynamical properties. Bull Jpn Soc Sci Fish 46:1477–1482CrossRefGoogle Scholar
  66. Vert-pre KA, Amoroso RO, Jensen OP, Hilborn R (2013) Frequency and intensity of productivity regime shifts in marine fish stocks. Proc Natl Acad Sci USA 110:1779–1784CrossRefPubMedGoogle Scholar
  67. Walters CJ, Martell SJD (2004) Fisheries ecology and management. Princeton University Press, PrincetonGoogle Scholar
  68. Watanabe Y, Zenitani H, Kimura R (1995) Population decline off the Japanese sardine, Sardinops melanostictus owing to recruitment failures. Can J Fish Aquat Sci 52:1609–1616CrossRefGoogle Scholar
  69. Watanabe K, Sakuramoto K, Sugiyama H, Suzuki N (2011) Dynamics of two sailfin sandfish (Arctoscopus japonicus) stocks in the Sea of Japan, and their management. Can J Fish Aquat Sci 68:458–468CrossRefGoogle Scholar
  70. Watanabe C, Suda M, Akamine T, Kawabata A, Nishida H (2012) Effects of spatio-temporal allocation of allowable catch on the population dynamics of the Pacific stock of chub mackerel. Nippon Suisan Gakkaishi 78:15–26 (in Japanese with English summary)CrossRefGoogle Scholar
  71. Watson R, Pauly D (2001) Systematic distortions in world fisheries catch trends. Nature 414:534–536CrossRefPubMedGoogle Scholar
  72. Wayte SE (2013) Management implications of including a climate-induced recruitment shift in the stock assessment for jackass morwong (Nemadactylus macropterus) in south-eastern Australia. Fish Res 142:47–55CrossRefGoogle Scholar
  73. Winemiller KO, Rose KA (1992) Patterns of life-history diversification in North American Fishes: implications for population regulation. Can J Fish Aquat Sci 49:2196–2218CrossRefGoogle Scholar
  74. Yatsu A, Watanabe T, Ishida M, Sugisaki H, Jacobson LD (2005) Environmental effects of recruitment and productivity of Japanese sardine Sardinops melanostictus and chub mackerel Scomber japonicus with recommendations of management. Fish Oceanogr 14:263–278CrossRefGoogle Scholar
  75. Zhang Y, Chen Y, Zhu J, Tian S, Chen X (2013) Evaluating harvest control rules for bigeye tuna (Thunnus obesus) and yellowfin tuna (Thunnus albacares) fisheries in the Indian Ocean. Fish Res 137:1–8CrossRefGoogle Scholar
  76. Zheng J, Murphy MC, Kruse GH (1997) Analysis of harvest strategies for red king crab, Paralithodes camtschaticus, in Bristol Bay, Alaska. Can J Fish Aquat Sci 54:1121–1134CrossRefGoogle Scholar

Copyright information

© Springer Japan KK and the Japanese Society of Fisheries Science 2018

Authors and Affiliations

  1. 1.Seikai National Fisheries Research Institute, Japan Fisheries Research and Education AgencyNagasakiJapan
  2. 2.Graduate School of Agricultural and Life SciencesThe University of TokyoTokyoJapan

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