Free Access
Issue
Aquat. Living Resour.
Volume 32, 2019
Article Number 15
Number of page(s) 10
DOI https://doi.org/10.1051/alr/2019013
Published online 14 June 2019
  • Arlinghaus R, Cooke SJ, Lyman J, Policansky D, Schwab A, Suski C, Sutton G, Thorstad EB. 2007. Understanding the complexity of catch-and-release in recreational fishing: An integrative synthesis of global knowledge from historical, ethical, social, and biological perspectives. Rev Fish Sci 15: 75–167. [CrossRef] [Google Scholar]
  • Bates D, Maechler M, Bolker B. 2011. lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-39. [Google Scholar]
  • Birkeland C, Dayton PK. 2005. The importance in fishery management of leaving the big ones. Trends Ecol Evol 20(7): 356–358. [CrossRef] [PubMed] [Google Scholar]
  • Boukal DS, Jankovský M, Kubečka J, Heino M. 2012. Stock-catch analysis of carp recreational fisheries in Czech reservoirs: Insights into fish survival, water body productivity and impact of extreme events. Fish Res 119: 23–32. [CrossRef] [Google Scholar]
  • Bray GS, Schramm HL. 2001. Evaluation of a statewide volunteer angler diary program for use as a fishery assessment tool. N Am J Fish Manage 21: 606–615. [CrossRef] [Google Scholar]
  • Brownscombe JW, Danylchuk AJ, Chapman JM, Gutowsky LFG, Cooke SJ. 2017. Best practices for catch-and-release recreational fisheries angling tools and tactics. Fish Res 186: 693–705. [CrossRef] [Google Scholar]
  • Coleman FC, Figueira WF, Ueland JS, Crowder LB. 2004. The impact of United States recreational fisheries on marine fish populations. Science 305: 1958–1960. [CrossRef] [PubMed] [Google Scholar]
  • Cooke SJ, Cowx IG. 2004. The role of recreational fishing in global fish crises. Bioscience 54: 857–859. [Google Scholar]
  • Cooke SJ, Cowx IG. 2006. Contrasting recreational and commercial fishing: Searching for common issues to promote unified conservation of fisheries resources and aquatic environments. Biol Conserv 128: 93–108. [CrossRef] [Google Scholar]
  • Cooke SJ, Dunlop WI, McLennan DM, Power G. 2000. Applications and characteristics of angler diary programs in Ontario, Canada. Fish Manag Ecol 7: 473–487. [CrossRef] [Google Scholar]
  • Copp GH, Britton R, Cucherousset J, García-Berthou E, Kirk R, Peeler E, Stakėnas S. 2009. Voracious invader or benign feline? A review of the environmental biology of European catfish Silurus glanis in its native and introduced ranges. Fish Fish 10(3): 252–282. [CrossRef] [Google Scholar]
  • Dubois JP, Gillet C, Hilgert N, Balvay G. 2008. The impact of trophic changes over 45 years on the Eurasian perch, Perca fluviatilis, population of Lake Geneva. Aquat Living Resour 21(4): 401–410. [CrossRef] [Google Scholar]
  • Essig RJ, Holliday MC. 1991. Development of a recreational fishing survey: The marine recreational fishery statistics survey case study. Am Fish Soc 12: 245–254. [Google Scholar]
  • Freire KMF, Machado ML, Crepaldi D. 2012. Overview of inland recreational fisheries in Brazil. Fisheries 37: 484–494. [CrossRef] [Google Scholar]
  • Gaeta JW, Beardmore B, Latzka A, Provencher B, Carpenter SR. 2013. Catch-and-release rates of sport fishes in northern wisconsin from an angler diary survey. N Am J Fish Manage 33: 606–614. [CrossRef] [Google Scholar]
  • Garner SB, Dahl KA, Patterson IWF. 2016. Hook performance and selectivity of Eurasian perch, Perca fluviatilis (Linnaeus, 1758) in the Åland Archipelago, Finland. J Appl Ichthyol 32(6): 1065–1071. [CrossRef] [Google Scholar]
  • Gudbergson G. 2002. Arctic charr in Lake Myvatn: the centennial catch record in the light of recent stock estimates. Aquat Ecol 38: 271–284. [CrossRef] [Google Scholar]
  • Gupta N, Bower SD, Raghavan R, Danylchuk AJ, Cooke SJ. 2015. Status of recreational fisheries in India: development, issues, and opportunities. Rev Fish Sci Aquac 23: 291–301. [CrossRef] [Google Scholar]
  • Haakana H, Huuskonen H. 2008. Effects of intensive fishing on the perch population in a large oligotrophic lake in eastern Finland. Fish Res 91(2–3): 144–150. [CrossRef] [Google Scholar]
  • Härkönen L, Hyvärinen P, Niemelä PT, Vainikka A. 2016. Behavioural variation in Eurasian perch populations with respect to relative catchability. Acta Ethol 19(1): 21–31. [CrossRef] [Google Scholar]
  • Heermann L, Emmrich M, Heynen M, Dorow M, König U, Borcherding J, Arlinghaus R. 2013. Explaining recreational angling catch rates of Eurasian perch, Perca fluviatilis: The role of natural and fishing-related environmental factors. Fish Manag Ecol 20(2–3): 187–200. [CrossRef] [Google Scholar]
  • Humpl M, Pivnička K, Jankovský M. 2009. Sport fishery statistics, water quality, and fish assemblages in the Berounka River in 1975–2005. Folia Zool 58(4): 457–465. [Google Scholar]
  • IUCN. 2018. The IUCN red list of threatened species. Version 2018-2. http://www.iucnredlist.org (Downloaded November 14, 2018). [Google Scholar]
  • Jaeger BC, Edwards LJ, Das K, Sen PK. 2017. An R 2 statistic for fixed effects in the generalized linear mixed model. J Appl Stat 44(6): 1086–1105. [CrossRef] [Google Scholar]
  • Jankovský M, Boukal DS, Pivnička K, Kubečka J. 2011. Tracing possible drivers of synchronously fluctuating species catches in individual logbook data. Fish Manag Ecol 18: 297–306. [CrossRef] [Google Scholar]
  • Jansen T, Arlinghaus R, Als TD, Skov C. 2013. Voluntary angler logbooks reveal long-term changes in a lentic pike, Esox lucius, population. Fish Manag Ecol 20(2–3): 125–136. [CrossRef] [Google Scholar]
  • Jayasinghe UAD, Amarasinghe US, De Silva S. 2006. Culture-based fisheries in non-perennial reservoirs of Sri Lanka: Influence of reservoir morphometry and stocking density on yield. Fish Manag Ecol 13: 157–164. [CrossRef] [Google Scholar]
  • Johnston FD, Arlinghaus R, Dieckmann U. 2013. Fish life history, angler behaviour and optimal management of recreational fisheries. Fish Fish 14(4): 554–579. [CrossRef] [Google Scholar]
  • Kalous L, Kuříková P, Kohout J, Rylková K, Petrtýl M, Čech M. 2017. Differences in spatial communities of European perch (Perca fluviatilis Linnaeus, 1758) fry in a canyon-shaped reservoir are not attributable to genetics. J Appl Ichthyol 33(2): 306–313. [CrossRef] [Google Scholar]
  • Kearney RE. Recreational fishing: Value is in the eye of the beholder, in: T.J. Pitcher, C.S. Hollingworth Eds.. Recreational fisheries: Ecological, economic and social evaluation, Blackwell Science Ltd., Malden, 2002, pp. 17–33. [Google Scholar]
  • Kerr SJ. 1996. A summary of Muskies Canada Inc. Angler log information, 1979–1994. Technical Report TR-011, Ontario Ministry of Natural Resources, Kemptville, Ontario, Canada, 107 p. [Google Scholar]
  • Kubečka J. 1992. Fluctuations in fyke-net catches during the spawning period of the Eurasian perch (Perca fluviatilis) in the Římov Reservoir, Czechoslovakia. Fish Res 15(1–2): 157–167. [CrossRef] [Google Scholar]
  • Kubečka J. 1993. Succession of fish communities in reservoirs of Central and Eastern Europe, in: Comparative reservoir limnology and water quality management, Springer, Dordrecht, pp. 153–168. [CrossRef] [Google Scholar]
  • Lehikoinen A, Heikinheimo O, Lehtonen H, Rusanen P. 2017. The role of cormorants, fishing effort and temperature on the catches per unit effort of fisheries in Finnish coastal areas. Fish Res 190: 175–182. [CrossRef] [Google Scholar]
  • Lewin WC, Arlinghaus R, Mehner T. 2006. Documented and potential biological impacts of recreational fishing: Insights for management and conservation. Rev Fish Sci 14: 305–367. [CrossRef] [Google Scholar]
  • Linhart O, Setch L, Svarc J, Rodina M, Audebert JP, Grecu J, Billard R. 2002. The culture of the European catfish, Silurus glanis, in the Czech Republic and in France. Aquat Living Resour 15(2): 139–144. [CrossRef] [Google Scholar]
  • Lyach R, Čech M. 2017. Do otters target the same fish species and sizes as anglers? A case study from a lowland trout stream (Czech Republic). Aquat Living Resour 30, 11. [CrossRef] [Google Scholar]
  • Lyach R, Čech M. 2018a. A new trend in Central European recreational fishing: More fishing visits but lower yield and catch. Fish Res 201: 131–137. [CrossRef] [Google Scholar]
  • Lyach R, Čech M. 2018b. Do recreational fisheries metrics vary on differently sized fishing grounds? Fish Manag Ecol 25: 356–365. [CrossRef] [Google Scholar]
  • Marta P, Bochechas J, Collares-Pereira MJ. 2001. Importance of recreational fisheries in the Guadiana River Basin in Portugal. Fish Manag Ecol 8: 345–354. [CrossRef] [Google Scholar]
  • Monk CT, Arlinghaus R. 2017. Eurasian perch, Perca fluviatilis, spatial behaviour determines vulnerability independent of angler skill in a whole-lake reality mining experiment. Can J Fish Aquat Sci 75(3): 417–428. [CrossRef] [Google Scholar]
  • Mosindy TE, Duffy MJ. 2007. The use of angler diary surveys to evaluate long-term changes in muskellunge populations on Lake of the Woods, Ontario. Environ Biol Fish 79: 71–83. [CrossRef] [Google Scholar]
  • Musil P, Musilová Z, Fuchs R, Poláková S. 2011. Long-term changes in numbers and distribution of wintering waterbirds in the Czech Republic, 1966–2008. Bird Stud 58(4): 450–460. [CrossRef] [Google Scholar]
  • Nakagawa S, Schielzeth H. 2013. A general and simple method for obtaining R2 from generalized linear mixed-effects models. Method Ecol Evol 4(2): 133–142. [CrossRef] [Google Scholar]
  • Nilsson J, Andersson J, Karas P, Sandstrom O. 2004. Recruitment failure and decreasing catches of perch (Perca fluviatilis L.) and pike (Esox lucius L.) in the coastal waters of southeast Sweden. Boreal Environ Res 9(4): 295–306. [Google Scholar]
  • Parris K. 2011. Impact of agriculture on water pollution in OECD countries: Recent trends and future prospects. Int J Water Resour Dev 27(1): 33–52. [CrossRef] [Google Scholar]
  • Pollock KH, Jones CM, Brown TL. Angler survey methods and their applications in fisheries management, American Fisheries Society Special Publication 25, Bethesda, 1994, 371 p. [Google Scholar]
  • Psuty I. 2010. Natural, social, economical and political influences on fisheries: A review of the transitional area of the Polish waters of the Vistula Lagoon. Mar Pollut Bull 61(4–6): 162–177. [CrossRef] [Google Scholar]
  • Salmi JA, Auvinen H, Raitaniemi J, Kurkilahti M, Lilja J, Maikola, R. 2015. Perch (Perca fluviatilis) and pikeperch (Sander lucioperca) in the diet of the great cormorant (Phalacrocorax carbo) and effects on catches in the Archipelago Sea, Southwest coast of Finland. Fish Res 164: 26–34. [CrossRef] [Google Scholar]
  • Skov C, Jansen T, Arlinghaus R. 2017. 62 years of population dynamics of European perch (Perca fluviatilis) in a mesotrophic lake tracked using angler diaries: The role of commercial fishing, predation and temperature. Fish Res 195: 71–79. [CrossRef] [Google Scholar]
  • Stoeven MT. 2014. Enjoying catch and fishing effort: The effort effect in recreational fisheries. Environ Resour Econ 57(3): 393–404. [CrossRef] [Google Scholar]
  • Sztramko LK, Dunlop WI, Powell SW, Sutherland RG. Applications and benefits of an angler diary program on Lake Erie, American Fisheries Society Symposium 12, 1991. [Google Scholar]
  • Tockner K, Uehlinger U, Robinson CT. Rivers of Europe, Academic Press, 2009. [Google Scholar]
  • Vostradovský J, Pivnička K, Čihař M, Poupě J. 1995. Species diversity, abundance, biomass and yield of fishes in the Elbe River and its tributaries. Bohem Cent 23: 121–127. [Google Scholar]
  • Ward HG, Askey PJ, Post JR. 2013. A mechanistic understanding of hyperstability in catch per unit effort and density-dependent catchability in a multistock recreational fishery. Can J Fish Aquat Sci 70(10): 1542–1550. [CrossRef] [Google Scholar]
  • Watson L. The European market for perch (Perca fluviatilis), in: P. Fontaine, P. Kestemont, F. Teletchea, N. Wang Eds., Percid fish culture – From research to production, Namur, Belgium, 2008, pp. 10–14. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.