Reviews in Fish Biology and Fisheries

, Volume 26, Issue 3, pp 405–440

Stock assessment in inland fisheries: a foundation for sustainable use and conservation

  • K. Lorenzen
  • I. G. Cowx
  • R. E. M. Entsua-Mensah
  • N. P. Lester
  • J. D. Koehn
  • R. G. Randall
  • N. So
  • S. A. Bonar
  • D. B. Bunnell
  • P. Venturelli
  • S. D. Bower
  • S. J. Cooke
Reviews

Abstract

Fisheries stock assessments are essential for science-based fisheries management. Inland fisheries pose challenges, but also provide opportunities for biological assessments that differ from those encountered in large marine fisheries for which many of our assessment methods have been developed. These include the number and diversity of fisheries, high levels of ecological and environmental variation, and relative lack of institutional capacity for assessment. In addition, anthropogenic impacts on habitats, widespread presence of non-native species and the frequent use of enhancement and restoration measures such as stocking affect stock dynamics. This paper outlines various stock assessment and data collection approaches that can be adapted to a wide range of different inland fisheries and management challenges. Although this paper identifies challenges in assessment, it focuses on solutions that are practical, scalable and transferrable. A path forward is suggested in which biological assessment generates some of the critical information needed by fisheries managers to make effective decisions that benefit the resource and stakeholders.

Keywords

Assessment tools Fisheries management Inland fisheries Sustainable fisheries 

References

  1. Abou-Tair D, Bourimi M, Tesoriero R, Heupel M, Kesdogan D, Ueberschär B (2013) An end-user tailorable generic framework for privacy-preserving location-based mobile applications. Appl Math Inf Sci 7:2137–2148CrossRefGoogle Scholar
  2. Akçakaya HR (1991) A method for simulating demographic stochasticity. Ecol Model 54:133–136CrossRefGoogle Scholar
  3. Al-Abdulrazzak D, Pauly D (2014) Managing fisheries from space: Google Earth improves estimates of distant fish catches. ICES J Mar Sci 71:450–454CrossRefGoogle Scholar
  4. Allan JD, Abell R, Hogan Z, Revenga C, Taylor BW, Welcomme RL, Winemiller K (2005) Overfishing of inland waters. Bioscience 55:1041–1051CrossRefGoogle Scholar
  5. Almeida O, Lorenzen K, McGrath DG (2009) Fishing agreements in the Lower Amazon: for gain and restraint. Fish Manag Ecol 16:61–67CrossRefGoogle Scholar
  6. Amilhat E, Lorenzen K (2005) Habitat use, migration pattern and population dynamics of chevron snakehead Channa striata in a rainfed rice farming landscape. J Fish Biol 67(SB):23–34CrossRefGoogle Scholar
  7. Anderson JL, Anderson CM, Chu J, Meredith J, Asche F, Sylvia G et al (2015) The fishery performance indicators: a management tool for triple bottom line outcomes. PLoS One 10(5):e0122809PubMedPubMedCentralCrossRefGoogle Scholar
  8. Andrew NL, Bene C, Hall SJ, Allison EH, Heck S, Ratner BD (2007) Diagnosis and management of small-scale fisheries in developing countries. Fish Fish 8:227–240CrossRefGoogle Scholar
  9. Arlinghaus R, Lorenzen K, Johnson BM, Cooke SJ, Cowx IG (2016) Management of freshwater fisheries: addressing habitat, people and fishes. In: Craig JF (ed) Freshwater fisheries ecology. Wiley, Chichester, pp 557–579Google Scholar
  10. Arthur RI, Lorenzen K, Homekingkeo P, Sidavong K, Sanvilaikham B, Garaway CJ (2010) Assessing impacts of introduced aquaculture species on native fish communities: Nile tilapia and major carps in SE Asian freshwaters. Aquaculture 299:81–88CrossRefGoogle Scholar
  11. Bachman RW, Jones BL, Fox DD, Hoyer M, Bull LA, Canfield DE (1996) Relations between trophic state indicators and fish in Florida (USA) lakes. Can J Fish Aquat Sci 53:842–855CrossRefGoogle Scholar
  12. Bagenal TB (ed) (1978) Methods for assessment of fish production in fresh waters. IBP handbook no. 3. Blackwell, OxfordGoogle Scholar
  13. Baker MS Jr, Oeschger I (2009) Description and initial evaluation of a text message based reporting method for marine recreational anglers. Mar Coast Fish Dyn Manag Ecosyst Sci 1:143–154CrossRefGoogle Scholar
  14. Bayley PB (1988) Accounting for effort when comparing tropical fisheries in lakes, river-floodplains, and lagoons. Limnol Oceanogr 33:963–972Google Scholar
  15. Bazigos G (1974) The design of fisheries statistical surveys—inland waters. FAO fisheries technical paper 133, FAO, RomeGoogle Scholar
  16. Beaman L, Dillon A (2012) Do household definitions matter in survey design? Results from a randomized survey experiment in Mali. J Dev Econ 98:124–135CrossRefGoogle Scholar
  17. Beard TD Jr, Austen D, Brady SJ, Costello ME, Drewes HG, Young-Dubovsky CH et al (1998) The multi-state aquatic resources information system. Fisheries 23(5):14–18CrossRefGoogle Scholar
  18. Beard TD Jr, Arlinghaus R, Cooke SJ, McIntyre PB, De Silva S, Bartley D, Cowx IG (2011) Ecosystem approach to inland fisheries; research needs and implementation strategies. Biol Lett 7:481–483PubMedPubMedCentralCrossRefGoogle Scholar
  19. Berkes F (2003) Alternatives to conventional management: lessons from small-scale fisheries. Environments 31:5–19Google Scholar
  20. Beverton RJH, Holt SJ (1957) On the dynamics of exploited fish populations. Fishery Investigations Series II. Ministry of Agriculture, Fisheries and Food, LowestoftGoogle Scholar
  21. Bezerra-Neto JF, Brighenti LS, Mello NASTD, Pinto-Coelho RM (2012) Hydroacoustic assessment of fish and Chaoborus (Diptera-Chaoboridae) distribution in three Neotropical lakes. Acta Limnol Bras 24:18–28CrossRefGoogle Scholar
  22. Bonar SA, Hubert WA (2002) Standard sampling of inland fish: benefits, challenges, and a call for action. Fisheries 27(3):10–16CrossRefGoogle Scholar
  23. Bonar SA, Hubert WA, Willis DW (2009) Standard methods for sampling North American freshwater fishes. American Fisheries Society, BethesdaGoogle Scholar
  24. Bonar SA, Norman Mercado-Silva N, Rahr M, Torrey YT, Cate A Jr (2015) A simple web-based tool to compare freshwater fish data collected using AFS standard methods. Fisheries 40(2):580–589CrossRefGoogle Scholar
  25. Booth AJ (2004) Determination of cichlid-specific biological reference points. Fish Res 67:307–316CrossRefGoogle Scholar
  26. Bratton M (2013) Briefing: citizens and cell phones in Africa. African Affairs 112(447):304–319CrossRefGoogle Scholar
  27. Bray GS, Schramm HL Jr (2001) Evaluation of a statewide volunteer angler diary program for use as a fishery assessment tool. N Am J Fish Manag 21:606–615CrossRefGoogle Scholar
  28. Brown P, Walker TI (2004) CARPSIM: stochastic simulation modelling of wild carp (Cyprinus carpio L.) population dynamics, with applications to pest control. Ecol Mod 176:83–97CrossRefGoogle Scholar
  29. Brown G, Berger B, Ikiara M (2005) A predator-prey model with an application to Lake Victoria fisheries. Mar Resour Econ 20:221–248CrossRefGoogle Scholar
  30. Burgman MA, Ferson S, Akçakaya HR (1993) Risk assessment in conservation biology. Chapman and Hall, LondonGoogle Scholar
  31. Caddy JF, Bazigos GP (1985) Practical guidelines for statistical monitoring of fisheries in manpower limited situations. FAO fisheries technical paper 257, FAO, RomeGoogle Scholar
  32. Carpenter SR, Kitchell JF (eds) (1996) The trophic cascade in lakes. Cambridge University Press, CambridgeGoogle Scholar
  33. Carpenter SR, Cunningham P, Gafny S, Munoz-Del-Rio A, Nibbelink N, Olson M et al (1995) Responses of bluegill to habitat manipulations: power to detect effects. N Am J Fish Manag 15:519–527CrossRefGoogle Scholar
  34. Carruthers TR, Punt AE, Walters CJ, MacCall A, McAllister MK, Dick EJ, Cope J (2014) Evaluating methods for setting catch limits in data-limited fisheries. Fish Res 153:48–68CrossRefGoogle Scholar
  35. Castello L, Viana JP, Watkins G, Pinedo-Vasquez M, Luzadis VA (2009) Lessons from integrating fishers of arapaima in small-scale fisheries management at the Mamirauá Reserve, Amazon. Environ Manag 43:197–209CrossRefGoogle Scholar
  36. Castilla JC, Defeo O (2001) Latin American benthic shellfisheries: emphasis on co-management and experimental practices. Rev Fish Biol Fish 11:1–30CrossRefGoogle Scholar
  37. CEN (European Committee for Standardization) (2003) EN 14011:2003 (E). Water quality—sampling fish with electricity. Management Centre, BrusselsGoogle Scholar
  38. CEN (European Committee for Standardization) (2005) EN 14757:2005 (E). Water quality—sampling of fish with multi-mesh gillnets. Management Centre, BrusselsGoogle Scholar
  39. Christensen V, Pauly D (1992) ECOPATH II—a software for balancing steady-state ecosystem models and calculating network characteristics. Ecol Model 61:169–185CrossRefGoogle Scholar
  40. Christensen V, Walters CJ, Ahrens R, Alder J, Buszowski J, Christensen LB et al (2009) Database-driven models of the world’s Large Marine Ecosystems. Ecol Model 220:1984–1996CrossRefGoogle Scholar
  41. Chrysafi A, Kuparinen A (2016) Assessing abundance of populations with limited data: lessons learned from data-poor fisheries stock assessment. Env Rev 24:25–38CrossRefGoogle Scholar
  42. Coggins LG, Pine WE, Walters CJ, Martell SJ (2006) Age-structured mark–recapture analysis: a virtual-population-analysis-based model for analyzing age-structured capture–recapture data. N Am J Fish Manag 26:201–205CrossRefGoogle Scholar
  43. Coggins LG, Catalano MJ, Allen MS, Pine WE, Walters CJ (2007) Effects of cryptic mortality and the hidden costs of using length limits in fishery management. Fish Fish 8(3):196–210CrossRefGoogle Scholar
  44. Collie JS, Botsford LW, Hastings A, Kaplan IC, Largier JL, Livingston PA et al (2014) Ecosystem models for fisheries management: finding the sweet spot. Fish Fish. doi:10.1111/faf.12093 Google Scholar
  45. Cooke SJ, Dunlop WI, MacLennan D, Power G (2000) Applications and characteristics of angler diary programmes in Ontario, Canada. Fish Manag Ecol 7:473–487CrossRefGoogle Scholar
  46. Cooke SJ, Arlinghaus R, Beard Bartley DM, Jr TD, Cowx IG, Essington TE et al (2014) Where the waters meet: sharing ideas and experiences between inland and marine realms to promote sustainable fisheries management. Can J Fish Manag Aquat Sci 71:1593–1601CrossRefGoogle Scholar
  47. Cooke SJ, Arlinghaus R, Johnson BM, Cowx IG (2016a) Recreational fisheries in inland waters. In: Craig JF (ed) Freshwater fisheries ecology. Wiley, Chichester, pp 449–465Google Scholar
  48. Cooke SJ, Martins EG, Struthers DP, Gutowsky LFG, Power M, Doka SE et al (2016b) A moving target—incorporating knowledge of the spatial ecology of fish into the assessment and management of freshwater fish populations. Env Mon Assess 188:239Google Scholar
  49. Cooke SJ, Allison EH, Beard TD, Arlinghaus R, Arthington AH, Bartley DM, Cowx IG, Fuentevilla C et al (in press) On the sustainability of inland fisheries: finding a future for the forgotten. AmbioGoogle Scholar
  50. Cortner HJ, Shannon MA, Wallace MG, Burke S, Moote MA (1994) Institutional barriers and incentives for ecosystem management. Issue paper no 16. University of Arizona, Water Resources Research Centre, TucsonGoogle Scholar
  51. Cowx IG (ed) (1996) Stock assessment in inland fisheries. Fishing News Books, OxfordGoogle Scholar
  52. Cowx IG, Broughton NM (1986) Changes in the species composition of anglers’ catches in the River Trent (England) between 1969 and 1984. J Fish Biol 28:625–636CrossRefGoogle Scholar
  53. Cowx IG, Portocarrero MA (2011) Paradigm shifts in fish conservation: moving to the ecosystem services concept. J Fish Biol 79:1663–1680PubMedCrossRefGoogle Scholar
  54. Cox SP, Kitchell JF (2004) Lake Superior ecosystem, 1929–1998: simulating alternative hypotheses for recruitment failure of lake herring (Coregonus artedi). Bull Mar Sci 74:671–683Google Scholar
  55. Cox SP, Walters C (2002) Modeling exploitation in recreational fisheries and implications for effort management on British Columbia rainbow trout lakes. N Am J Fish Manage 22:21–34CrossRefGoogle Scholar
  56. Cox SP, Beard TD Jr, Walters C (2002) Harvest control in open-access sport fisheries: hot rod or asleep at the reel? B Mar Sci 70:749–761Google Scholar
  57. Creque SM, Rutherford ES, Zorn TG (2005) Use of GIS-derived landscape-scale habitat features to explain spatial patterns of fish density in Michigan rivers. N Am J Fish Manag 25:1411–1425CrossRefGoogle Scholar
  58. Davies PE, Harris JH, Hillman TJ, Walker KF (2010) The Sustainable Rivers Audit: assessing river ecosystem health in the Murray-Darling Basin, Australia. Mar Freshw Res 61:764–777CrossRefGoogle Scholar
  59. Davies PE, Stewardson MJ, Hillman TJ, Roberts JR, Thoms MC (2012) Sustainable rivers audit 2: the ecological health of rivers in the Murray-Darling Basin at the end of the Millennium Drought (2008–2010). Murray-Darling Basin Authority, CanberraGoogle Scholar
  60. de Roos AM, Persson L (2013) Population and community ecology of ontogenetic development. Princeton University Press, PrincetonGoogle Scholar
  61. De Silva SS, Amarasinghe US, Nissanka C, Wijesooriya WADD, Fernando MJJ (2001) Use of geographical information systems as a tool for fish yield prediction in tropical reservoirs: case study on Sri Lankan reservoirs. Fish Manag Ecol 8:47–60CrossRefGoogle Scholar
  62. DIAS (2004) Database on introductions of aquatic species. Fisheries Global Information Systems/FAO, Rome, Italy. http://www.fao.org/figis/servlet/static?dom=root&xml=Introsp/introsp_s.xml
  63. Djemali I, Toujani R, Guillard J (2009) Hydroacoustic fish biomass assessment in man-made lakes in Tunisia: horizontal beaming importance and diel effect. Aquat Ecol 43:1121–1131CrossRefGoogle Scholar
  64. Dotson JR, Allen MS, Kerns JA, Pouder WF (2013) Utility of restrictive harvest regulations for trophy largemouth bass management. N Am J Fish Manag 33:499–507CrossRefGoogle Scholar
  65. Dowling NA, Wilson JR, Rudd MB, Babcock EA, Caillaux M, Cope J et al (in press) FishPath: A decision support system for assessing and managing data- and capacity-limited fisheries. In: Tools and strategies for assessment and management of data-limited fish stocks. 30th Lowell Wakefield fisheries symposium. Alaska Sea Grant. Anchorage, AKGoogle Scholar
  66. Downing JA, Plante C, Lalonde S (1990) Fish production correlated with primary productivity, not the morphoedaphic index. C J Fish Aquat Sci 47:1929–1936CrossRefGoogle Scholar
  67. Dudgeon D (ed) (2011) Tropical stream ecology. Academic Press, WalthamGoogle Scholar
  68. Dudgeon D, Arthington AH, Gessner MO, Kawabata ZI, Knowler DJ, Lévêque C et al (2006) Freshwater biodiversity: importance, threats, status and conservation challenges. Biol Rev 81:163–182PubMedCrossRefGoogle Scholar
  69. Dunbar R (2001) Copper River hydroacoustic salmon enumeration studies, 2000 and 2001. Alaska Department of Fish and Game, Commercial Fisheries Division, Regional information report no. 2A01-3, Anchorage, AlaskaGoogle Scholar
  70. Eberhardt LL, Thomas JM (1991) Designing environmental field studies. Ecol Monogr 61:53–73Google Scholar
  71. Edwards CTT, Hillary RM, Levontin P, Blanchard JL, Lorenzen K (2012) Fisheries assessment and management: a synthesis of common approaches with special reference to deepwater and data-poor stocks. Rev Fish Sci 20:136–153CrossRefGoogle Scholar
  72. Evans DW (2001) The consequences of illegal, unreported and unregulated fishing for fishery data and management. FAO fisheries report 666. FAO, Rome, pp 222–233Google Scholar
  73. Evans R, Molony B (2011) Pilot evaluation of the efficacy of electronic monitoring on a demersal gillnet vessel as an alternative to human observers. Fisheries Research Division, Western Australian Fisheries and Marine Research Laboratories, Perth, AustraliaGoogle Scholar
  74. FAO (2012) Recreational fisheries. FAO technical guidelines for responsible fisheries, no. 13, FAO, RomeGoogle Scholar
  75. FAO and Worldfish Centre (2008) Small-scale fisheries- a global overview with emphasis on developing countries. FAO and Worldfish Centre, RomeGoogle Scholar
  76. Fisher W (2013) Current issues, status and applications of GIS to inland fisheries. In: Meaden GJ, Aguilar-Manjarrez J (eds) Advances in geographic information systems and remote sensing for fisheries and aquaculture. FAO fisheries and aquaculture technical paper 552. FAO, Rome, pp 269–296Google Scholar
  77. Francis RICC (1988) Maximum likelihood estimation of growth and growth variability from tagging data. NZ J Mar Freshw Res 22:43–51CrossRefGoogle Scholar
  78. Frank KT, Petrie B, Shackell NL (2007) The ups and downs of trophic control in continental shelf ecosystems. Trends Ecol Evol 22:236–242PubMedCrossRefGoogle Scholar
  79. Froese R (2004) Keep it simple: three indicators to deal with overfishing. Fish Fish 5:86–91CrossRefGoogle Scholar
  80. Froese R, Pauly D (2014) FishBase. World Wide Web electronic publication. http://www.fishbase.org. Accessed 27 July 2015
  81. Froese R, Walters C, Pauly D, Winker H, Weyl OL, Demirel N, Tsikliras AC, Holt SJ (2015) A critique of the balanced harvesting approach to fishing. ICES J Mar Sci fsv122Google Scholar
  82. Fulton EA, Link JS, Kaplan IC, Savina-Rolland M, Johnson P, Ainsworth C, Horne P, Gorton R, Gamble RJ, Smith ADM, Smith DC (2011) Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish Fish 12:171–188CrossRefGoogle Scholar
  83. Gedamke T, Hoenig JM, Musick JA, DuPaul WD, Gruber SH (2007) Using demographic models to determine intrinsic rate of increase and sustainable fishing for elasmobranchs: Pitfalls, advances, and applications. N Am J Fish Manag 27:605–618CrossRefGoogle Scholar
  84. George DG, Winfield IJ (2000) Factors influencing the spatial distribution of zooplankton and fish in Loch Ness, UK. Freshw Biol 43:557–570CrossRefGoogle Scholar
  85. Gerdeaux D, Janjua MY (2009) Contribution of obligatory and voluntary fisheries statistics to the knowledge of whitefish population in Lake Annecy (France). Fish Res 96:6–10CrossRefGoogle Scholar
  86. Getabu A, Tumwebaze R, MacLennan DN (2003) Spatial distribution and temporal changes in the fish populations of Lake Victoria. Aquat Living Resour 16:159–165CrossRefGoogle Scholar
  87. Gons HJ, Rijkeboer M, Ruddick KG (2002) A chlorophyll-retrieval algorithm for satellite imagery (medium resolution imaging spectrometer) of inland and coastal waters. J Plankton Res 24:947–951CrossRefGoogle Scholar
  88. Gozlan RE, Britton JR, Cowx I, Copp GH (2010) Current knowledge on non-native freshwater fish introductions. J Fish Biol 76:751–786CrossRefGoogle Scholar
  89. Gutowsky LF, Gobin J, Burnett NJ, Chapman JM, Stoot LJ, Bliss S (2013) Smartphones and digital tablets: emerging tools for fisheries professionals. Fisheries 38:455–461CrossRefGoogle Scholar
  90. Gulland JA, Rosenberg AA (1992) A review of length-based approaches to assessing fish stocks. FAO fisheries technical paper 323. UN Food and Agricultural Organisation, Rome, ItalyGoogle Scholar
  91. Haddon M (ed; 2011) Modelling and Quantitative Methods in Fisheries. Second Ed. CRC Press, Boca Raton, Florida, USA, 449 ppGoogle Scholar
  92. Halls AS, Welcomme RL (2004) Dynamics of river fish populations in response to hydrological conditions: a simulation study. River Res Appl 20:985–1000CrossRefGoogle Scholar
  93. Hamilton P, Nicol E, De-Bastos E, Williams RJ, Sumpter JP, Jobling S, Stevens JR, Tyler CR (2014) Populations of a cyprinid fish are self-sustaining despite widespread feminization of males. BMC Biol 12:1. doi:10.1186/1741-7007-12-1 PubMedPubMedCentralCrossRefGoogle Scholar
  94. Hansen MJ, Lester NP, Krueger CC (2010) Natural lakes. In: Hubert WA, Quist MC (eds) Inland Fisheries Management in North America, 3rd edn. American Fisheries Society, Bethesda, pp 449–500Google Scholar
  95. Hasan MR, Middendorp HA (1998) Optimising stocking density of carp fingerlings through modeling of the carp yield in relation to average water transparency in enhanced fisheries semi-closed waterbodies in western Bangladesh. FAO Fisheries Technical Paper 347, FAO, Rome, 133-140 ppGoogle Scholar
  96. Havens KE (1999) Correlation is not causation: a case study of fisheries, trophic state and acidity in Florida (USA) lakes. Env Pollution 106:1–4CrossRefGoogle Scholar
  97. Havens KE, Aumen NG (2000) Hypothesis-driven experimental research is necessary for natural resource management. Env Manage 25:1–7CrossRefGoogle Scholar
  98. Hayes DB, Ferreri CP, Taylor WW (1996) Linking fish habitat to their population dynamics. Can J Fish Aquat Sci 53(Suppl. 1):383–390CrossRefGoogle Scholar
  99. Healey MC (1980) Growth and recruitment in experimentally exploited lake whitefish (Coregonus clupeaformis) populations. Can J Fish Aquat Sci 37:255–267CrossRefGoogle Scholar
  100. Henderson HF, Welcomme RL (1974) The relationship of yield to morpho–edaphic index and numbers of fishermen in African inland fisheries. CIFA Occassional Paper 1, CIFA, Rome, 19 ppGoogle Scholar
  101. Hilborn R (1976) Optimal exploitation of multiple stocks by a common fishery: a new methodology. J Fish Res Board Can 33:1–5CrossRefGoogle Scholar
  102. Hilborn R (2007) Defining success in fisheries and conflicts in objectives. Mar Pol 31:153–158CrossRefGoogle Scholar
  103. Hilborn R (2016) Correlation and causation in fisheries and watershed management. Fisheries 41:18–25CrossRefGoogle Scholar
  104. Hilborn R, Walters CJ (1992) Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty. Springer, New YorkCrossRefGoogle Scholar
  105. Hind EJ (2014) A review of the past, the present, and the future of fishers’ knowledge research: a challenge to established fisheries science. ICES J Mar Sci. doi:10.1093/icesjms/fsu169 Google Scholar
  106. Hoenig JM (1983) Empirical use of longevity data to estimate mortality-rates. Fish Bull 81:898–903Google Scholar
  107. Hogg SE, Lester NP, Ball H (2010a) 2005 Survey of Recreational Fishing in Canada: Results for Fisheries Management Zones of Ontario. Applied Research and Development Branch, Ontario Ministry of Natural Resources, Peterborough, Ontario 32 pp Google Scholar
  108. Hogg SE, Lester NP, Ball H (2010b) The Effectiveness of the 2005 Recreational Fishing Survey to Deliver Spatially Explicit Estimates of Fishing Effort and Harvest: Analysis for Selected Ontario Lakes. Applied Research and Development Branch, Ontario Ministry of Natural Resources, PeterboroughGoogle Scholar
  109. Hoggarth DD, Kirkwood GP (1996) Technical interactions in tropical floodplain fisheries of south and south-east Asia. In: Cowx IG (ed) Stock Assessment in Inland Fisheries. Fishing News Books, Oxford, pp 280–292Google Scholar
  110. Hoggarth DD, Cowan VJ, Halls AS, Aeron-Thomas M, McGregor JA, Garaway CJ et al. (1999) Management Guidelines for Asian Floodplain River Fisheries. FAO Fisheries Technical Paper 348, FAO, Rome, 117 ppGoogle Scholar
  111. Hoggarth DD, Abeyasekera S, Arthur R, Beddington JR, Burn RW, Halls AS, Kirkwood GP, McAllister M, Medley P, Mees CC, Parkes GB, Pilling GM, Wakeford RC, Welcomme RL (2006) Stock assessment for fishery management: A framework guide to the use of the FMSP fish stock assessment tools. FAO Fisheries Technical Paper No. 487. Rome, FAO. (Part 1)Google Scholar
  112. Holmes JA, Cronkite GM, Enzenhofer HJ, Mulligan TJ (2006) Accuracy and precision of fish-count data from a “dual-frequency identification sonar” (DIDSON) imaging system. ICES J Mar Sci 63:543–555CrossRefGoogle Scholar
  113. Holmlund CM, Hammer M (1999) Ecosystem services generated by fish populations. Ecol Econ 29:253–268CrossRefGoogle Scholar
  114. Hordyk A, Ono K, Sainsbury K, Loneragan N, Prince J (2015a) Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio. ICES J Mar Sci 72:204–216CrossRefGoogle Scholar
  115. Hordyk A, Ono K, Sainsbury K, Loneragan N, Prince J (2015b) A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries. ICES J Mar Sci 72:217–231CrossRefGoogle Scholar
  116. Hortle KG, Suntornratana U (2008) Socio-economics of the fisheries of the lower Songkhram River Basin, northeast Thailand (No. 17). Vientiane, Lao PDR: Mekong River Commission, Ventiane, Lao, PDR, 110 ppGoogle Scholar
  117. IFReDI (2013) Food and Nutrition Security Vulnerability to Mainstream Hydropower Dam Development in Cambodia: Impacts of mainstream dams on fish yield and consumption in Cambodia. Inland Fisheries Research and Development Institute, Phnom PenhGoogle Scholar
  118. Inland Fisheries Ireland (2012) http://www.fisheriesireland.ie/Invasive-species-news/ifi-invasive-species-app.html. Last accessed: Jan. 20, 2015
  119. Isaac VJ, Ruffino ML (1996) Population dynamics of tambaqui, Colossoma macropomum Cuvier, in the Lower Amazon, Brazil. Fish Manage Ecol 3:315–333CrossRefGoogle Scholar
  120. Jensen AL (1976) Assessment of the United States lake whitefish (Coregonus clupeaformis) fisheries of Lake Superior, Lake Michigan, and Lake Huron. J Fish Res Board Can 33:747–759CrossRefGoogle Scholar
  121. Jensen AL (1991) Multiple species fisheries with no ecological interaction: two-species Schaefer model applied to lake trout and lake whitefish. ICES J Mar Sci 48:167–171CrossRefGoogle Scholar
  122. Jensen R (2007) The digital provide: information (technology), market performance, and welfare in the South Indian fisheries sector. Q J Econ 122:879–924CrossRefGoogle Scholar
  123. Jerde CL, Mahon AR, Chadderton WL, Lodge DM (2011) “Sight-unseen” detection of rare aquatic species using environmental DNA. Conservation Letters 4:150–157CrossRefGoogle Scholar
  124. Jiddawi NS, Öhman MC (2002) Marine fisheries in Tanzania. Ambio 31:518–527PubMedCrossRefGoogle Scholar
  125. Jones ML, Koonce JF, O’Gorman R (1993) Sustainability of hatchery-dependent salmonine fisheries in Lake Ontario: the conflict between predator demand and prey supply. Trans Am Fish Soc 122:1002–1018CrossRefGoogle Scholar
  126. Kang B, He D, Perrett L, Wang H, Hu W, Deng W, Wu Y (2009) Fish and fisheries in the Upper Mekong: current assessment of the fish community, threats and conservation. Rev Fish Biol Fisher 19:465–480CrossRefGoogle Scholar
  127. Kareiva P, Marvier M, McClure M (2000) Recovery and management options for spring/summer chinook salmon in the Columbia River Basin. Science 290(5493):977–979PubMedCrossRefGoogle Scholar
  128. Kitchell JF, Cox SP, Harvey CJ, Johnson TB, Mason DM, Schoen KK et al (2000) Sustainability of the Lake Superior fish community: interactions in a food web context. Ecosystems 3:545–560CrossRefGoogle Scholar
  129. Koehn JD (2015) Managing people, water, food and fish in the Murray-Darling Basin, southeastern Australia. Fish Manage Ecol 22:25–32CrossRefGoogle Scholar
  130. Koehn JD, Lintermans M (2012) A strategy to rehabilitate fishes of the Murray-Darling Basin, south-eastern Australia. Endangered Species Research 16:165–181CrossRefGoogle Scholar
  131. Koehn JD, Todd CR (2012) Balancing conservation and recreational fishery objectives for a threatened species, the Murray cod, Maccullochella peelii. Fish Manag Ecol 19:410–425CrossRefGoogle Scholar
  132. Kolding J, van Zwieten PAM (2014) Sustainable fishing of inland waters. J Limnol 73:132–148CrossRefGoogle Scholar
  133. Kolding J, Musando B, Songore N (2003) Inshore fisheries and fish population changes in Lake Kariba. In: Jul-Larsen E, Kolding J, Overå R, Raakjær J, Paul N, van Zwieten AM (eds) Management, co-Management or no management? Major dilemmas in southern African freshwater fisheries case studies. FAO Technical Fisheries Report 426/2, FAO, Rome, 67-99Google Scholar
  134. Lackey RT (1999) Radically contested assertions in ecosystem management. Journal of Sustainable Forestry 9:21–34CrossRefGoogle Scholar
  135. Laë R, Lek S, Moreau J (1999) Predicting fish yield of African lakes using neural networks. Ecol Mod 120:325–335CrossRefGoogle Scholar
  136. Lapointe NWR, Cooke SJ, Imhof JG, Boisclair D, Casselman JM, Curry RA et al (2014) Principles for ensuring healthy and productive freshwater ecosystems that support sustainable fisheries. Environ Rev 22:1–25CrossRefGoogle Scholar
  137. Larkin PA (1977) An epitaph for the concept of maximum sustained yield. T Am Fish Soc 106:1–11CrossRefGoogle Scholar
  138. Lavrakas J, Black W, Lawson A (2012) At-sea electronic data logging and data entry for salmon fisheries. Advanced Research Corp. Report No. PSC-2012-002. Advanced Research Corporation, Newport, Oregon, USA, 23 pp. http://www.pacificfishtrax.org/media/SeaTab_Final_Report.pdf Last accessed Feb. 7, 2015
  139. Leach JH, Dickie LM, Shuter BJ, Borgmann U, Hyman J, Lysack W (1987) A review of methods for prediction of potential fish production with application to the Great Lakes and Lake Winnipeg. Can J Fish Aquat Sci 44(S2):s471–s485CrossRefGoogle Scholar
  140. Lesht BM, Barbiero RP, Warren GJ (2013) A band-ratio algorithm for retrieving open-lake chlorophyll values from satellite observations of the Great Lakes. J Great Lakes Res 39:138–152CrossRefGoogle Scholar
  141. Lester NP, Dunlop WI (2003) Monitoring the state of the lake trout resource: A landscape approach. In: Gunn J, Steedman R, Ryder R (eds) Boreal watersheds: lake trout ecosystems in a changing environment. CRC Press, Boca Raton, pp 293–328Google Scholar
  142. Lester NP, Marshall TR, Armstrong K, Dunlop WI, Ritchie B (2003) A broad scale approach to management of Ontario’s recreational fisheries. N Am J Fish Manage 23:1312–1328CrossRefGoogle Scholar
  143. Lester NP, Dextrase AJ, Kushneriuk RS, Rawson MR, Ryan PA (2004) Light and temperature: key factors affecting walleye abundance and production. T Am Fish Soc 133:588–605CrossRefGoogle Scholar
  144. Link JS (2002) Ecological considerations in fisheries management: when does it matter? Fisheries 27(4):10–17CrossRefGoogle Scholar
  145. Lodge DM, Turner CR, Jerde CL, Barnes MA, Chadderton L, Egan SP et al (2012) Conservation in a cup of water: estimating biodiversity and population abundance from environmental DNA. Mol Ecol 21:2555–2558PubMedPubMedCentralCrossRefGoogle Scholar
  146. Lorenzen K (2005) Population dynamics and potential of fisheries stock enhancement: practical theory for assessment and policy analysis. Philos T R Soc B 360:171–189CrossRefGoogle Scholar
  147. Lorenzen K (2008) Understanding and managing enhancement fisheries systems. Rev Fish Sci 16:10–23CrossRefGoogle Scholar
  148. Lorenzen K, Garaway CJ, Chamsingh B, Warren TJ (1998a) Effects of access restrictions and stocking on small water body fisheries in Laos. J Fish Biol 53(sA), 345-357Google Scholar
  149. Lorenzen K, Juntana J, Bundit J, Tourongruang D (1998b) Assessing culture fisheries practices in small water bodies: a study of village fisheries in Northeast Thailand. Aquac Res 29:211–224CrossRefGoogle Scholar
  150. Lorenzen K, Almeida O, Arthur R, Garaway C, Nguyen Khoa S (2006) Aggregated yield and fishing effort in multi-species fisheries: an empirical analysis. Can J Fish Aquat Sci 63:1334–1343CrossRefGoogle Scholar
  151. Lorenzen K, Smith L, Nguyen Khoa S, Burton M, Garaway C (2007) Guidance Manual: Management of Impacts of Irrigation Development on Fisheries. International Water Management Institute, Colombo, Sri Lanka. 161 ppGoogle Scholar
  152. Lucas MC, Baras E (2000) Methods for studying spatial behaviour of freshwater fishes in the natural environment. Fish Fish 1:283–316CrossRefGoogle Scholar
  153. Ludwig D, Walters CJ (1985) Are age-structured models appropriate for catch-effort data? Can J Fish Aquat Sci 42:1066–1072CrossRefGoogle Scholar
  154. Lynch AJ, Cooke SJ, Deines A, Bower S, Bunnell DB, Cowx IG, Nguyen VM, Nonher J et al (2016) The social, economic, and ecological importance of inland fishes and fisheries. Environ Rev 24:115–121Google Scholar
  155. MacGregor BW, Peterman RM, Pyper BJ, Bradford MJ (2002) A decision analysis framework for comparing experimental designs of projects to enhance Pacific salmon. N Am J Fish Manag 22(2):509–527CrossRefGoogle Scholar
  156. MacLennan DN (1990) Acoustical measurement of fish abundance. J Acoust Soc Am 87:1–15CrossRefGoogle Scholar
  157. Malvestuto SP (1983) Sampling the recreational fishery. In: Neilsen LA, Johnson DL (eds) Fisheries techniques. American Fisheries Society, Bethesda, pp 397–420Google Scholar
  158. Matsuishi T, Muhoozi L, Mkumbo O, Budeba Y, Njiru M, Asila A et al (2006) Are the exploitation pressures on the Nile perch fisheries resources of Lake Victoria a cause for concern? Fish Manag Ecol 13:53–71CrossRefGoogle Scholar
  159. Maxwell SL (2007) Hydroacoustics: Rivers. In: Johnson DH, Shier BM, O’Neal JS, Knutzen JA, Augerot X, O’Neill TA, Pearsons TN (eds) Salmonid field protocols handbook: techniques for assessing status and trends in salmon and trout populations. American Fisheries Society, Bethesda, pp 133–152Google Scholar
  160. McAllister MK, Peterman RM (1992) Experimental design in the management of fisheries: a review. N Am J Fish Manag 12:1–18CrossRefGoogle Scholar
  161. Medina Pizzali AF (1988) Small-scale fish landing and marketing facilities. FAO fisheries technical paper 291, FAO, RomeGoogle Scholar
  162. Medley PAH (2009) Tools to conduct a participatory fishery (ParFish) assessment using Bayesian decision analysis. Proc Gulf Caribb Fish Inst 61:237–245Google Scholar
  163. Mertz G, Myers RA (1998) A simplified formulation for fish production. Can J Fish Aquat Sci 55:478–484CrossRefGoogle Scholar
  164. Methot RD Jr, Wetzel CR (2013) Stock synthesis: a biological and statistical framework for fish stock assessment and fishery management. Fish Res 142:86–99CrossRefGoogle Scholar
  165. Minamoto T, Yamanaka H, Takahara T, Honjo MN, Kawabata Z (2011) Surveillance of fish species composition using environmental DNA. Limnology 13:193–197CrossRefGoogle Scholar
  166. Minns CK (2009) The potential future impact of climate warming and other human activities on the productive capacity of Canada’s lake fisheries: a meta-model. Aquat Ecosyst Health 12:152–167CrossRefGoogle Scholar
  167. Moreau J, Ligtvoet W, Palomares MLD (1993) Trophic relationship in the fish community of Lake Victoria, Kenya, with emphasis on the impact of Nile perch (Lates niloticus). In: Trophic models of aquatic ecosystems. ICLARM conference proceedings 26, pp 144–152Google Scholar
  168. Muller RG, Taylor RG (2013) The 2013 stock assessment update of Common Snook, Centropomus undecimalis. Report 2013-004. Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, St. PetersburgGoogle Scholar
  169. Myers RA (2001) Stock and recruitment: generalizations about maximum reproductive rate, density-dependence and variability using meta-analytic approaches. ICES J Mar Sci 58:937–951CrossRefGoogle Scholar
  170. Newman D, Carruthers T, MacCall A, Porch C, Suatoni L (2014) Improving the science and management of data-limited fisheries: an evaluation of current methods and recommended approaches. Natural Resources Defense Council, NRDC report R, 14-09Google Scholar
  171. Nguyen Khoa S, Lorenzen K, Garaway C, Chamsingh B, Siebert DJ, Randone M (2005) Impacts of irrigation on fisheries in rain-fed rice-farming landscapes. J Appl Ecol 42:892–900CrossRefGoogle Scholar
  172. Olden JD, Poff NL, Bestgen KR (2006) Life-history strategies predict fish invasions and extirpations in the Colorado River basin. Ecol Monogr 76:25–40CrossRefGoogle Scholar
  173. Olson MH, Carpenter SR, Cunningham P, Gafny S, Herwig BR, Nibbelink NP et al (1998) Managing macrophytes to improve fish growth: a multi-lake experiment. Fisheries 23:6–12CrossRefGoogle Scholar
  174. Ontario Ministry of Natural Resources (OMNR; (2005) A new ecological framework for recreational fisheries management in Ontario—project overview and timelines. Fisheries Section, Fish and Wildlife Branch, PeterboroughGoogle Scholar
  175. Papenfuss JT, Phelps N, Fulton D, Venturelli PA (2015) Smartphones reveal angler behavior: a case-study of a popular mobile fishing application in Alberta, Canada. Fisheries 40:318–327CrossRefGoogle Scholar
  176. Parent E, Rivot E (2012) Introduction to hierarchical Bayesian modeling for ecological data. CRC Press, Boca RatonGoogle Scholar
  177. Parkkila K, Arlinghaus R, Artell J, Gentner B, Haider W, Aas O et al (2010) Methodologies for assessing socio-economic benefits of European Inland Recreational Fisheries. European Inland Fisheries Advisory Commission Occasional Paper 46. FAO, AnkaraGoogle Scholar
  178. Pauly D (1980) On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks. J Conseil 39:175–192CrossRefGoogle Scholar
  179. Pauly D (1987) A review of the ELEFAN system for analysis of length-frequency data in fish and aquatic invertebrates. In: ICLARM conference proceedings, vol 13, pp 7–34Google Scholar
  180. Pauly D, Christensen V, Dalsgaard J, Froese R, Torres F (1998) Fishing down marine food webs. Science 279:860–863PubMedCrossRefGoogle Scholar
  181. Pauly D, Christensen V, Walters C (2000) Ecopath, ecosim, and ecospace as tools for evaluating ecosystem impact of fisheries. ICES J Mar Sci 57:697–706CrossRefGoogle Scholar
  182. Peterson JT, Paukert CP (2009) Converting nonstandard fish sampling data to standardized data. In: Bonar SA, Hubert WA, Willis DW (eds) Standard methods for sampling North American freshwater fishes. American Fisheries Society, Bethesda, pp 195–215Google Scholar
  183. Pfisterer CT (2002) Estimation of Yukon River salmon passage in 2001 using hydroacoustic methodologies. Alaska Department of Fish and Game, Division of Commercial Fisheries, Regional information report no. 3A02-24. Alaska Department of Fish and Game, Anchorage, Alaska, USAGoogle Scholar
  184. Pido MD, Pomeroy RS, Carlos MB (1996) A handbook for rapid appraisal of fisheries management systems (version 1). ICLARM, ManilaGoogle Scholar
  185. Pikitch E, Santora EA, Babcock A, Bakun A, Bonfil R, Conover DO et al (2004) Ecosystem-based fishery management. Science 305:346–347PubMedCrossRefGoogle Scholar
  186. Pine WE, Pollock KH, Hightower JE, Kwak TJ, Rice JA (2003) A review of tagging methods for estimating fish population size and components of mortality. Fisheries 28(10):10–23CrossRefGoogle Scholar
  187. Pitcher TJ (2016) Assessment and modelling of freshwater fisheries. In: Craig JF (ed) Freshwater fisheries ecology. Wiley, Oxford, pp 483–499Google Scholar
  188. Pollock KH, Jones CM, Brown TL (1994) Angler survey methods and their applications in fisheries management. American Fisheries Society, Special Publication 25, American Fisheries Society, BethesdaGoogle Scholar
  189. Pope KL, Willis DW (1996) Seasonal influences on freshwater fisheries sampling data. Rev Fish Sci 4:57–73CrossRefGoogle Scholar
  190. Power M (2007) Fish population bioassessment. In: Guy CS, Brown ML (eds) Analysis and interpretation of freshwater fisheries data. American Fisheries Society, Bethesda, pp 561–624Google Scholar
  191. Pretty JL, Harrison SSC, Shepherd DJ, Smith C, Hildrew AG, Hey RD (2003) River rehabilitation and fish populations: assessing the benefit of instream structures. J Appl Ecol 40:251–265CrossRefGoogle Scholar
  192. Prévost E, Parent E, Crozier W, Davidson I, Dumas J, Guðbergsson G, Hindar K, McGinnity P, MacLean J, Sættem LM (2003) Setting biological reference points for Atlantic salmon stocks: transfer of information from data-rich to sparse-data situations by Bayesian hierarchical modelling. ICES J Mar Sci 60:1177–1193CrossRefGoogle Scholar
  193. Punt AE, Smith ADM (2001) The gospel of maximum sustainable yield in fisheries management: birth, crucifixion and reincarnation. In: Reynolds JD, Mace GM, Redford KH, Robinson JG (eds) Conservation of exploited species. Cambridge University Press, Cambridge, pp 41–66Google Scholar
  194. Punt AE, Butterworth DS, Moor CL, De Oliveira JA, Haddon M (2016) Management strategy evaluation: best practices. Fish Fish 17:303–334Google Scholar
  195. Rakowitz G, Berger B, Kubecka J, Keckeis H (2008) Functional role of environmental stimuli for the spawning migration in Danube nase Chondrostoma nasus (L.). Ecol Freshw Fish 17:502–514CrossRefGoogle Scholar
  196. Ranta E, Lindström K, Salojärvi K (1992) Water quality, fishing effort and fish yield in lakes. Fish Res 15:105–119CrossRefGoogle Scholar
  197. Ricard D, Minto C, Jensen OP, Baum JK (2012) Evaluating the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. Fish Fish 13:380–398CrossRefGoogle Scholar
  198. Rice J (2011) Managing fisheries well: delivering the promises of an ecosystem approach. Fish Fish 12:209–231CrossRefGoogle Scholar
  199. Richter BD, Braun DP, Mendelson MA, Master LL (1997) Threats to imperiled freshwater fauna. Conserv Biol 11:1081–1093CrossRefGoogle Scholar
  200. Ricker WE (1963) Big effects from small causes: two examples from fish population dynamics. J Fish Res Board Can 20:257–264CrossRefGoogle Scholar
  201. Ricker WE (1975) Computation and interpretation of biological statistics of fish populations. Bull Fish Res Board Canada 191:1–382Google Scholar
  202. Rochet M, Trenkel VM (2003) Which community indicators can measure the impact of fishing? A review and proposals. Can J Fish Aquat Sci 60:86–99CrossRefGoogle Scholar
  203. Rose KA, Cowan JH, Winemiller KO, Myers RA, Hilborn R (2001) Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis. Fish Fish 2:293–327CrossRefGoogle Scholar
  204. Rosenberger AE, Dunham JB (2005) Validation of abundance estimates from mark–recapture and removal techniques for rainbow trout captured by electrofishing in small streams. N Am J Fish Manag 25:1395–1410CrossRefGoogle Scholar
  205. Ryder RA (1965) A method for estimating potential fish production of north-temperate lakes. Trans Am Fish Soc 94:214–218CrossRefGoogle Scholar
  206. Ryder RA (1982) The morphoedaphic index—use, abuse, and fundamental concepts. Trans Am Fish Soc 111:54–164CrossRefGoogle Scholar
  207. Ryder RA, Kerr SR, Loftus KH, Regier HA (1974) Morphoedaphic index, a fish yield estimator—review and evaluation. J Fish Res Board Can 31:663–688CrossRefGoogle Scholar
  208. Scheuerell MD, Hilborn R, Ruckelshaus MH, Bartz KK, Lagueux KM, Haas AD, Rawson K (2006) The Shiraz model: a tool for incorporating anthropogenic effects and fish-habitat relationships in conservation planning. Can J Fish Aquat Sci 63:1596–1607CrossRefGoogle Scholar
  209. Schlesinger DA, Regier HA (1982) Climatic and morphoedaphic indexes of fish yield from natural lakes. Trans Am Fish Soc 111:141–150CrossRefGoogle Scholar
  210. Schobernd ZH, Bacheler NM, Conn PB (2013) Examining the utility of alternative video monitoring metrics for indexing reef fish abundance. Can J Fish Aquat Sci 71:464–471CrossRefGoogle Scholar
  211. SEAFDEC (2005) Handbook on Collecting Fishery Statistics for Inland and Coastal Fisheries, Southeast Asian Fisheries Development Center, Bangkok, Thailand. http://www.seafdec.org/download/handbook-on-collecting-fishery-statistics/. Last accessed Dec 2014
  212. Seber GAF (1982) The estimation of animal abundance. Wiley, ChichesterGoogle Scholar
  213. Shankar B, Halls A, Barr J (2005) The effects of surface water abstraction for rice irrigation on floodplain fish production in Bangladesh. Int J Water 3:61–83CrossRefGoogle Scholar
  214. Shepherd JG, Pope JG (2002) Dynamic pool models I: interpreting the past using virtual population analysis. In: Hart PJB, Reynolds JD (eds) Handbook of fish biology and fisheries, vol 2., FisheriesBlackwell Science, Oxford, pp 127–136Google Scholar
  215. Shin YJ, Cury P (2001) Exploring fish community dynamics through size-dependent trophic interactions using a spatialized individual-based model. Aquat Living Resour 14:65–80CrossRefGoogle Scholar
  216. Shuter BJ (1990) Population-level indicators of stress. American Fisheries Society Symposium 8, Bethesda, Maryland, USA, pp 145–166Google Scholar
  217. Shuter BJ, Jones ML, Korver RM, Lester NP (1998) A general life history based model for regional management of fish stocks: the inland lake trout fisheries of Ontario. Can J Fish Aquat Sci 55:2161–2177CrossRefGoogle Scholar
  218. Smith LED, Nguyen Khoa S, Lorenzen K (2005) Livelihood functions of inland fisheries: policy implications in developing countries. Water Policy 7:359–383Google Scholar
  219. Strayer DL, Dudgeon D (2010) Freshwater biodiversity conservation: recent progress and future challenges. J N Am Benthol Soc 29:344–358CrossRefGoogle Scholar
  220. Stunz GW, Johnson MJ, Yoskowitz D, Robillard M, Wetz J (2014) iSnapper: design, testing, and analysis of an iPhone-based application as an electronic logbook in the for-hire Gulf of Mexico red snapper fishery. Grant NA10NMF4540111 Final Report. Southeast Fisheries Science Center, MiamiGoogle Scholar
  221. Swingle HS (1950) Relationships and dynamics of balanced and unbalanced fish populations. Alabama Agricultural Experiment Station Bulletin, Alabama Polytechnical Institute, AuburnGoogle Scholar
  222. Swingle HS (1956) Appraisal of methods of fish population study-Part IV: determination of balance in farm ponds. Trans North Am Wildl Nat Res 21:298–322Google Scholar
  223. Takahara T, Minamoto T, Yamanaka H, Doi H, Kawabata ZI (2012) Estimation of fish biomass using environmental DNA. PLoS One 7(4):e35868PubMedPubMedCentralCrossRefGoogle Scholar
  224. Thomsen P, Kielgast JOS, Iversen LL, Wiuf C, Rasmussen M, Gilbert MTP et al (2012) Monitoring endangered freshwater biodiversity using environmental DNA. Mol Ecol 21:2565–2573PubMedCrossRefGoogle Scholar
  225. Trujillo P, Piroddi C, Jacquet J (2012) Fish farms at sea: the ground truth from Google Earth. PLoS One 7(2):e30546PubMedPubMedCentralCrossRefGoogle Scholar
  226. Tsehaye I, Jones ML, Bence JR, Brenden TO, Madenjian CP, Warner DM (2014) A multispecies statistical age-structured model to assess predator–prey balance: application to an intensively managed Lake Michigan pelagic fish community. Can J Fish Aquat Sci 71:627–644CrossRefGoogle Scholar
  227. Tumwebaze R, Cowx IG, Ridgway S, Getabu A, MacLennan DN (2007) Spatial and temporal changes in the distribution of Rastrineobola argentea in Lake Victoria. Aquat Ecosyst Health 10:398–406CrossRefGoogle Scholar
  228. Tweddle D, Cowx IG, Weyl OLF, Peel R (2015) Challenges in fisheries management in the Zambezi, one of the great rivers of Africa. Fish Manag Ecol 22:99–111CrossRefGoogle Scholar
  229. van Poorten BT, Arlinghaus R, Daedlow K, Haertel-Borer SS (2011) Social-ecological interactions, management panaceas, and the future of wild fish populations. Proc Natl Acad Sci 108:12554–12559PubMedPubMedCentralCrossRefGoogle Scholar
  230. van Poorten BT, Carruthers TR, Ward HG, Varkey DA (2015) Imputing recreational angling effort from time-lapse cameras using an hierarchical Bayesian model. Fish Res 172:265–273CrossRefGoogle Scholar
  231. Vanni MJ, Arend KK, Bremigan MT, Bunnell DB, Garvey JE, Gonzalez MJ et al (2005) Linking landscapes and food webs: effects of omnivorous fish and watersheds on reservoir ecosystems. Bioscience 55:155–167CrossRefGoogle Scholar
  232. Vaughan H, Brydges T, Fenech A, Lumb A (2001) Monitoring long-term ecological changes through the ecological monitoring and assessment network: science-based and policy relevant. Environ Monit Assess 67:3–28PubMedCrossRefGoogle Scholar
  233. Vincenzi S, Crivelli AJ, Jesensek D, Rubin JF, Poizat G (2008) Potential factors controlling the population viability of newly introduced endangered marble trout populations. Biol Conserv 141:198–210CrossRefGoogle Scholar
  234. Vörösmarty CJ, McIntyre PB, Gessner MO, Dudgeon D, Prusevich A, Green P et al (2010) Global threats to human water security and river biodiversity. Nature 467:555–561PubMedCrossRefGoogle Scholar
  235. Walters CJ, Martell SJ (2002) Stock assessment needs for sustainable fisheries management. Bull Mar Sci 70:629–638Google Scholar
  236. Walters CJ, Martell SJ (2004) Fisheries ecology and management. Princeton University Press, PrincetonGoogle Scholar
  237. Ware DM, Thomson RE (2005) Bottom-up ecosystem trophic dynamics determine fish production in the northeast Pacific. Science 308:1280–1284PubMedCrossRefGoogle Scholar
  238. Welcomme RL (1976) Some general and theoretical considerations on the fish yield of African rivers. J Fish Biol 8:351–364CrossRefGoogle Scholar
  239. Welcomme RL (1985) River fisheries. FAO fisheries technical paper 262, FAO, Rome, ItalyGoogle Scholar
  240. Welcomme RL (1988) International introductions of inland aquatic species. FAO fisheries technical paper 294, FAO, Rome, ItalyGoogle Scholar
  241. Welcomme RL (1999) A review of a model for qualitative evaluation of exploitation levels in multi-species fisheries. Fish Manag Ecol 6:1–19CrossRefGoogle Scholar
  242. Welcomme RL, Hagborg D (1977) Towards a model of a floodplain fish population and its fishery. Env Biol Fish 2:7–24CrossRefGoogle Scholar
  243. Welcomme RL, Cowx IG, Coates D, Béné C, Funge-Smith S, Halls AS, Lorenzen K (2010) Inland capture fisheries. Philos Trans R Soc B 365:2881–2896CrossRefGoogle Scholar
  244. Weyl OLF, Booth AJ, Mwakiyongo KR, Mandere D (2005) Management recommendations for Copadichromis chrysonotus (Pisces: Cichlidae) in Lake Malombe, Malawi, based on per-recruit analysis. Fish Res 71:165–173CrossRefGoogle Scholar
  245. Wilde GR (1997) Largemouth bass fishery responses to length limits. Fisheries 22:14–23CrossRefGoogle Scholar
  246. Winemiller KO (1989) Patterns of variation in life history among South American fishes in seasonal environments. Oecologia 81:225–241CrossRefGoogle Scholar
  247. Winemiller KO, Rose KA (1992) Patterns of life-history diversification in North American fishes: implications for population regulation. Can J Fish Aqua Sci 49:2196–2218CrossRefGoogle Scholar
  248. Winfield IJ, Onoufriou C, O’Connell MJ, Godlewska M, Ward RM, Brown AF, Yallop ML (2007) Assessment in two shallow lakes of a hydroacoustic system for surveying aquatic macrophytes. In: Gulati RD, Lammens E, De Pauw N, Van Donk E (eds) Shallow Lakes in a changing world. Netherlands Springer, Dordrecht, pp 111–119CrossRefGoogle Scholar
  249. Wyatt RJ (2002) Estimating riverine fish population size from single-and multiple-pass removal sampling using a hierarchical model. Can J Fish Aquat Sci 59:695–706CrossRefGoogle Scholar
  250. Youn SJ, Taylor WW, Lynch AJ, Cowx IG, Beard TD, Bartley D, Wu F (2014) Inland capture fishery contributions to global food security and threats to their future. Global Food Security 3:142–148CrossRefGoogle Scholar
  251. Zale AV, Parrish DL, Sutton TM (2012) Fisheries techniques. American Fisheries Society, BethesdaGoogle Scholar
  252. Zhao Y, Kocovsky PM, Madenjian CP (2013) Development of a stock–recruitment model and assessment of biological reference points for the Lake Erie Walleye fishery. N Am J Fish Manag 33:956–964CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • K. Lorenzen
    • 1
  • I. G. Cowx
    • 2
  • R. E. M. Entsua-Mensah
    • 3
  • N. P. Lester
    • 4
  • J. D. Koehn
    • 5
  • R. G. Randall
    • 6
  • N. So
    • 7
  • S. A. Bonar
    • 8
  • D. B. Bunnell
    • 9
  • P. Venturelli
    • 10
  • S. D. Bower
    • 11
  • S. J. Cooke
    • 11
  1. 1.Fisheries and Aquatic Sciences, School of Forest Resource and ConservationUniversity of FloridaGainesvilleUSA
  2. 2.Hull International Fisheries InstituteUniversity of HullHullUK
  3. 3.Water Research InstituteCouncil for Scientific and Industrial ResearchAccraGhana
  4. 4.Science and Research BranchOntario Ministry of Natural Resources and ForestryPeterboroughCanada
  5. 5.Applied Aquatic EcologyArthur Rylah Institute for Environmental ResearchHeidelbergAustralia
  6. 6.Great Lakes Laboratory for Aquatic Science, Canadian Centre for Inland WatersFisheries and Oceans CanadaBurlingtonCanada
  7. 7.Mekong River CommissionPhnom PenhCambodia
  8. 8.U.S. Geological Survey Arizona Cooperative Fish and Wildlife Research UnitUniversity of ArizonaTucsonUSA
  9. 9.U.S. Geological SurveyGreat Lakes Science CenterAnn ArborUSA
  10. 10.Department of Fisheries, Wildlife, and Conservation BiologyUniversity of MinnesotaSt PaulUSA
  11. 11.Fish Ecology and Conservation Physiology Laboratory, Department of Biology and Institute of Environmental ScienceCarleton UniversityOttawaCanada

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