EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 38 (2025) Aquat. Living Resour., 38 (2025) 10 References
Open Access
Issue
Aquat. Living Resour.
Volume 38, 2025
Article Number 10
Number of page(s) 14
DOI https://doi.org/10.1051/alr/2025008
Published online 09 June 2025
  • Ainsworth RF, Cowx IG, Funge-Smith SJ. 2023. Putting the fish into inland fisheries − a global allocation of historic inland fish catch. Fish Fish 24: 263–278. [CrossRef] [Google Scholar]
  • Alam MS, Liu Q, Schneider P, Mozumder MMH, Chowdhury MZR, Uddin MM, Monwar MM, Hoque ME, Barua S. 2022. Length-Based Stock Assessment for the Data-Poor Bombay Duck Fishery from the Northern Bay of Bengal Coast, Bangladesh. J Mar Sci Eng 10: 213. [CrossRef] [Google Scholar]
  • Aydın CM, Tıraşın EM. 2023. Information on the deep-water giant red shrimp Aristaeomorpha foliacea (Risso, 1827) (Crustacea, Decapoda, Aristeidae) population in Antalya Bay (Eastern Mediterranean Sea, South of Turkey) based on the MEDITS protocol. Reg Stud Mar Sc 60: 102885. [Google Scholar]
  • Balık İ, Çubuk H, Özkök R, Uysal R. 2005. Some Biological Characteristics of Crayfish (Astacus leptodactylus Eschscholtz, 1823) in Lake Eğirdir. Turk J Zool 29: 295–300. [Google Scholar]
  • Barua S, Liu Q, Alam MS, Schneider P, Mozumder MMH, Rouf MA. 2023. Population dynamics and stock assessment of two major eels (Muraenesox bagio and Congresox talabonoides) from the marine waters of Bangladesh. Front Mar Sci 10. https://doi.org/10.3389/fmars.2023.1134343 [CrossRef] [Google Scholar]
  • Berber S, Mazlum Y, Demirci A, Türel S. 2012. Structure, growth, mortality and size at sexual maturity of various populations Astacus leptodactylus Eschscholtz, 1823 (Cructecea: Decopada) in Turkey. Mar Sci Tec Bul 1: 21–27. [Google Scholar]
  • Bolat, Y. 2001. The population size estimating of crayfih (Astacus leptodactylus Esch., 1823) in Hoyran Area of Eğirdir Lake [in Turkish] Süleyman Demirel University, Graduate School of Natural and Applied Sciences. Phd. Thesis 117p. [Google Scholar]
  • Bolat Y, Kaya MA. 2016. Determination of growth and reproduction properties of freshwater crayfish (Astacus leptodactylus, Eschscholtz, 1823) in Eğirdir Lake-Türkiye [in Turkish]. Eğirdir Su Ürünleri Fakültesi Dergisi 12: 11–24. [Google Scholar]
  • Bök TD, Harlioǧlu MM, Deval MC. 2010. A study on the morphometric characteristics of Astacus leptodactylus inhabiting the Thrace region of Turkey. Knowl Manag Aquat Ecosyst 397: kmae 100011. [Google Scholar]
  • Branch TA, Jensen OP, Ricard D, Ye Y, Hilborn R. 2011. Contrasting global trends in marine fishery status obtained from catches and from stock assessments. Conserv Biol 25: 777–786. [CrossRef] [PubMed] [Google Scholar]
  • Büyükçapar HM, Alp A, Kaya M, Çiçek Y. 2006. The length-weight relationships, and meat yield of crayfish (Astacus leptodactylus Eschscholtz, 1823) in the Mamasın Reservoir (Aksaray, Turkey)[in Turkish]. E.U. J Fish Aquat Sci 23: 21–25. [Google Scholar]
  • Cerbule K, Jacques N, Pettersen H, Ingólfsson ÓA, Herrmann B, Grimaldo E, Larsen RB, Brinkhof J, Sistiaga M, Lilleng D, Brčić J. 2021. Bycatch reduction in the deep-water shrimp (Pandalus borealis) trawl fishery with a large mesh top panel. J Nat Conserv 61: 126001. [CrossRef] [Google Scholar]
  • Chong L, Mildenberger TK, Rudd MB, Taylor MH, Cope JM, Branch TA, Wolff M, Stäbler M. 2019. Performance evaluation of data-limited, length-based stock assessment methods. ICES J Mar Sci 77: 97–108. [Google Scholar]
  • Cilbiz, N. 2010). Determination of carotenoid amount, meat yield and chemical composition on freshwater crayfish (Astacus leptodactylus, Esch. 1823) in Eğirdir Lake (Isparta-Turkey) [in Turkish]. Süleyman Demirel University, Graduate School of Natural and Applied Sciences. MSc Thesis. 41p. [Google Scholar]
  • Cilbiz M. 2020. Pleopodal fecundity of narrow-clawed crayfish (Pontastacus leptodactylus Eschscholtz, 1823. Invertebr Reprod Dev 64: 208–218. [CrossRef] [Google Scholar]
  • Cilbiz M, Aydin C, Herrmann B. 2022. New codend designs to improve the size selectivity of fyke net for narrow-clawed crayfish (Pontastacus leptodactylus) Aquat Living Resour 35: 14. [Google Scholar]
  • Cilbiz M, Uysal R. 2023. Stock Assessment of Atherina Boyeri Risso, 1810 using two different methodological approaches (length-based VPA and Catch-only CMSY), in a Freshwater Ecosystem. Thalassas Int J Mar Sci 32: 1015–1025. [CrossRef] [Google Scholar]
  • Coates D. 2023. Ecosystem restoration and inland food fisheries in developing countries-opportunities for the United Nations Decade on Ecosystem Restoration 2021–2030). (FAO Fisheries and Aquaculture Circular No. 1231 Rome, FAO, Issue. [Google Scholar]
  • Cooke SJ, Allison EH, Beard TD Jr, Arlinghaus R, Arthington AH, Bartley DM, Cowx IG, Fuentevilla C, Leonard NJ, Lorenzen K, Lynch AJ, Nguyen VM, Youn SJ, Taylor WW, Welcomme RL. 2016. On the sustainability of inland fisheries: Finding a future for the forgotten. Ambio 45: 753–764. [CrossRef] [PubMed] [Google Scholar]
  • Costello C, Ovando D, Hilborn R, Gaines SD, Deschenes O, Lester SE. 2012. Status and solutions for the world's unassessed fisheries. Science 338: 517–520. [Google Scholar]
  • Çapkın K, Cilbiz M, Demirol F. 2023. Bycatch estimation of narrow-clawed crayfish (Pontastacus leptodactylus) in Turkish fyke net fisheries. Fish Manage Ecol 30: 171–181. [CrossRef] [Google Scholar]
  • Da N, Ouedraogo R, Oueda A. 2023. Growth, and Stock Status Assessment of African Catfish, Clarias anguillaris (Linnaeus, 1758) from Burkina Faso Newly Man-Made Lake Samandeni. Adv Biosci Biotechnol 14: 346–357. [CrossRef] [Google Scholar]
  • Dağtekin M. 2023. The invasive mollusk Rapana venosa (Mollusca: Neogastropoda: Muricidae) in the mid-southern Black Sea: distribution, growth, and stock structure. Acta Ichthyol Piscat 53: 191. [CrossRef] [Google Scholar]
  • de Mutsert K, Cowan JH, Essington TE, & Hilborn R. 2008. Reanalyses of Gulf of Mexico fisheries data: landings can be misleading in assessments of fisheries and fisheries ecosystems. PNAS 105: 2740–2744. [CrossRef] [PubMed] [Google Scholar]
  • Demirol F, Gunduz F, Yuksel F, Coban MZ, Beri A, Kurtoğlu M, Yıldırım T, Kucukyilmaz M. 2015. The investigation of by-catch and discard rates in crayfish (Astacus leptodactylus Eschscholtz, 1823) catching in the Keban Dam Lake. Limnofish 1: 69–74. [CrossRef] [Google Scholar]
  • Deval MC, Bök T, Ateş C, Tosunoǧlu Z. 2007. Length-based estimates of growth parameters, mortality rates, and recruitment of Astacus leptodactylus (Eschscholtz, 1823) (Decapoda, Astacidae) in unexploited inland waters of the northern Marmara region, European Turkey). Crustaceana 80: 655–665. [CrossRef] [Google Scholar]
  • Dowling NA, Dichmont CM, Haddon M, Smith DC, Smith ADM, Sainsbury K. 2015. Empirical harvest strategies for data-poor fisheries: a review of the literature. Fish Res 171: 141–153. [CrossRef] [Google Scholar]
  • Dutta S, Al-Jufaili S, Al-Anbouri IS, Paul S. 2023. Population status of Sardinella longiceps of the sultanate of Oman: perspectives of length-based approach. Thalassas: Int J Mar Sci https://doi.org/10.1007/s41208-023-00627-5 [Google Scholar]
  • Efron B. (1982. The Jackknife, the Bootstrap and Other Resampling Plans. CBMS-NSF Regional Conference Series in Applied Mathematics, Monograph 38, SIAM, Philadelphia. https://doi.org/http://dx.doi.org/10.1137/1.9781611970319 [Google Scholar]
  • Ersönmez H, Özyurt, CE, Mavruk S, Yıldız T, Ulman A. 2023. An in-depth study of the biology, trophic ecology and catchability of the invasive pufferfish Lagocephalus sceleratus from southern Turkey, eastern Mediterranean Sea. Sci Mar 87: e075. [CrossRef] [Google Scholar]
  • European Standard EN 14757. 2005. Water Quality—Sampling of Fish with Multimesh Gillnets. CEN TC 230, March 2005. [Google Scholar]
  • Fakıoğlu YE, Gökçe G, Özbilgin H, Cerbule K, Herrmann B. 2023. Impact of ground gear design on catch efficiency in demersal trawl fishery. Reg Stud Mar Sci 61: 102852. [Google Scholar]
  • Fitzgerald CJ, Droll JS, Shephard S, Monk CT, Rittweg T, Arlinghaus R. 2023. Length-based assessment of an exploited coastal pike (Esox lucius) stock (Rügen, southern Baltic Sea) underscores the crucial relevance of growth and natural mortality for assessment outcomes. Fish Res 263: 106667. [CrossRef] [Google Scholar]
  • Froese R. 2006. Cube law, condition factor and weight-length relationships: history, meta-analysis and recommendations. J Appl Ichthyol 22: 241–253. [Google Scholar]
  • Funge-Smith SJ. 2018. Review of the state of world fishery resources: inland fisheries. FAO Fisheries and Aquaculture Circular No. C942 Rev.3, Rome, FAO. 397 pp. [Google Scholar]
  • Goodyear CP. 1993. Spawning stock biomass per recruit in fisheries management: foundation and current use. In Smith SJ, Hunt JJ, Rivard, D (Eds.), Risk evaluation and biological reference points for fisheries management. Canadian special publication of fisheries and aquatic sciences. 120 (pp. 67–82). [Google Scholar]
  • Harlioglu MM. 1999. The relationships between length-weight, and meat yield of freshwater crayfish, Astacus leptodactylus eschscholtz, in the Agin Region of Keban Dam Lake. Turk J Zool 23: 949–957. [Google Scholar]
  • Hashemi SA, Doustdar M, Derakhsh PM, Muhammad AA. 2024. Length-Based Fishery Status of Indian White Prawn (Penaeus Indicus, Milne-Edwards, 1837) in the Northern Waters of the Oman Sea (Iran). Thalassas 40: 1611–1620. [CrossRef] [Google Scholar]
  • Herrmann B, Sistiaga M, Santos J, Sala A. 2016. How many fish need to be measured to effectively evaluate trawl selectivity? PLOS ONE 11: e0161512. [CrossRef] [PubMed] [Google Scholar]
  • Herrmann B, Sistiaga MB, Nielsen KN, Larsen RB. 2012. Understanding the size selectivity of redfish ( Sebastes spp.) in North Atlantic Trawl Codends. J Northwest Atl Fish Sci 44: 1–13. [CrossRef] [Google Scholar]
  • Hordyk A, Ono K, Sainsbury K, Loneragan N, Prince J. 2015. Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio. ICES J Mar Sci 72: 204–216. [CrossRef] [Google Scholar]
  • Jin S, Jiao Y, Li J, Xu Z, Xu Y, Zou M, Ding J, Li X, Wang Z, Wang M, Li W, Zhang T, Lek S, Zhu M, Luo S. 2024. Length-based stock assessment for Procambarus clarkii aquaculture management in China: an alarming of ongoing recruitment overfishing. Aquaculture 579: 740182. [CrossRef] [Google Scholar]
  • Jones R. 1984. Assessing the effects of changes in exploitation pattern using length composition data (with notes on VPA and cohort analysis). FAO Fish.Tech.Pap., (No:256): 118p. [Google Scholar]
  • Kassambara A. 2023. _rstatix: Pipe-Friendly Framework for Basic Statistical Tests_. R package version 0.7.2, https://CRAN.R-project.org/package=rstatix. [Google Scholar]
  • Kilada R, Acuña E. 2015. Direct age determination by growth band counts of three commercially important crustacean species in Chile. Fisheries Res 170: 134–143. [CrossRef] [Google Scholar]
  • Kindong R, Sarr O, Wu F, Tian S. 2022. Length-based assessment methods for the conservation of a Pelagic Shark, Carcharhinus falciformis from the tropical pacific ocean. Fishes 7: 184. [CrossRef] [Google Scholar]
  • Kipling C. 1962. The use of the scales of the Brown Trout (Salmo trutta L.) for the Back-Calculation of Growth. ICES J Mar Sci 27: 304–315. [CrossRef] [Google Scholar]
  • Kleiven AR, Espeland SH, Stiansen S, Ono K, Zimmermann F, Olsen EM. 2022. Technological creep masks continued decline in a lobster (Homarus gammarus) fishery over a century. Sci Rep 12: 3318. [CrossRef] [PubMed] [Google Scholar]
  • Korkmaz B, Bolat Y, Cilbiz M. 2023. Length-based Stock Assessment for the Data-poor Crayfish Fishery from the Eğirdir Lake, Turkiye. Turk J Fish Aquat Sci 23: TRJFAS22354. [Google Scholar]
  • Li Y, Wagner T. 2019. Does incorporating gear selectivity during macroscale investigations of fish growth reduce size-selective sampling bias in parameter estimates? Can J Fish Aquat Sci 76: 2089–2101. [CrossRef] [Google Scholar]
  • Lomeli MJM, Groth SD, Blume MTO, Herrmann B, Wakefield WW. 2020. The efficacy of illumination to reduce bycatch of eulachon and groundfishes before trawl capture in the eastern North Pacific ocean shrimp fishery. Can J Fish Aquat Sci 77: 44–54. [CrossRef] [Google Scholar]
  • Lomeli MJM, Wakefield WW, Herrmann B, Dykstra CL, Simeon A, Rudy DM, Planas JV. 2021. Use of artificial illumination to reduce Pacific halibut bycatch in a U.S. West Coast groundfish Bottom trawl. Fish Res, 233: 105737. [CrossRef] [Google Scholar]
  • Mei W, Yu G, Greenwell B. 2022. _ggtrendline: Add Trendline and Confidence Interval to 'ggplot'_. R package version 1.0.3, https://github.com/PhDMeiwp/ggtrendline. [Google Scholar]
  • Methot RD, Wetzel CR. 2013. Stock synthesis: a biological and statistical framework for fish stock assessment and fishery management. Fish Res 142: 86–99. [CrossRef] [Google Scholar]
  • Mildenberger TK, Taylor MH, Wolff M. 2017. TropFishR: an R package for fisheries analysis with length-frequency data. Methods Ecol Evol 8: 1520–1527. [CrossRef] [Google Scholar]
  • Mitchell L, Newman K, Baxter R. 2019. Estimating the size selectivity of fishing trawls for a short-lived fish species. San Francisco Estuary Watershed Sci 17. https://doi.org/10.15447/sfews.2019v17iss1art5 [CrossRef] [Google Scholar]
  • Miranda LE, Funk HG, Palmieri M, Stafford JD, Nichols ME. 2024. Length in assessing status of freshwater fish populations: a review. North Am J Fish Manag 44: 1092–1110. [CrossRef] [Google Scholar]
  • Moutopoulos DK, Koutsikos N, Vardakas L, Perdikaris C. 2022. A history of Greek inland fishery development during 1928–2019. Fish Manage Ecol 29: 681–692. [CrossRef] [Google Scholar]
  • Nelson GA. 2023. _fishmethods: Fishery Science Methods and Models_. R package version 1.12-1, https://CRAN.R-project.org/package=fishmethods [Google Scholar]
  • Olusoji O, Anifowose O, Sodamola M. 2010. Length-weight relationships, condition factor and fecundity of the West Africa Freshwater Crab, Sudanonautes africanus (Milne-Edwards 1883), in Western Nigeria. West Afr J Appl Ecol 16 (1). https://doi.org/10.4314/wajae.v16i1.55869 [Google Scholar]
  • Ovando D, Free CM, Jensen OP, Hilborn R. 2022. A history and evaluation of catch-only stock assessment models. Fish Fish 23: 616–630. [CrossRef] [Google Scholar]
  • Özseven A, Akkurt I, Günoğlu K. 2020. Determination of some dosimetric parameters in Eğirdir Lake, Isparta, Turkey. Int J Environ Sci Technol1 7: 1503–1510. [CrossRef] [Google Scholar]
  • Pauly D. 1984. Fish population dynamics in tropical water: a manual for use with programmable calculators. ICLARM Studies and Reviews 8, 325 p. International Center for Living Aquatic Resources Management, Manila, Philippines., 325. [Google Scholar]
  • Pauly D. 1990. Length-converted catch curves and the seasonal growth of fishes. Fishbyte 8: 33–38. [Google Scholar]
  • Pauly D, David N. 1981. ELEFAN I, a BASIC program for the objective extraction of growth parameters from length-frequency data. Meeresforschung 28: 205–211. [Google Scholar]
  • Pauly D, Moreau J, Abad N. 1995. Comparison of age-structured and length-converted catch curves of brown trout Salmo trutta in two French rivers. Fish Res 22: 197–204. [CrossRef] [Google Scholar]
  • Pauly D, Morgan G eds. 1987. Length-based methods in fisheries research. ICLARM Conference Proceedings 13, 468 p. International Center for Living Aquatic Resources Management, Manila, Philippines, and Kuwait Institute for Scientific Research, Safat, Kuwait (Vol. 13) WorldFish. [Google Scholar]
  • Pilling GM, Apostolaki P, Failler P, Floros C, Large PA, Morales-Nin B, Reglero P, Stergiou KI, Tsikliras AC. 2009. Assessment and management of data-poor fisheries. In A. Payne, J. Cotter, T. Pojder (Eds.), Advancesin fisheries science: 50 Years on From Beverton and Holt. (Vol. 50, pp. 280–305). Wiley. [Google Scholar]
  • Pons M, Cope JM, Kell LT. 2020. Comparing performance of catch-based and length-based stock assessment methods in data-limited fisheries. Can J Fish Aquat Sci 77: 1026–1037. [CrossRef] [Google Scholar]
  • Raza H, Liu Q, Alam MS, Han Y. 2022. Length based stock assessment of five fish species from the Marine Water of Pakistan. Sustainability 14: 1587. [CrossRef] [Google Scholar]
  • RStudioTeam. 2023. RStudio: Integrated Development for R. RStudio, PBC, Boston, MA Retrieved from: https://posit.co/download/rstudio-desktop/. [Google Scholar]
  • Reis-Filho JA, Ramos-Filho F, Castello L, Giarrizzo T. 2023. I fish, therefore I monitor: Participatory monitoring to assess inland small-scale fisheries. Environ Manage 72: 540–557. [CrossRef] [PubMed] [Google Scholar]
  • Santos L, Vasconcelos-Filho J, Eduardo LN, Lira A, Craveiro C, Silva EF, Lucena-Frédou F. 2023. Stock assessment of Larimus breviceps, a bycatch species exploited by artisanal beach seining in Northeast Brazil. Fish Manage Ecol 31: e126471–10. [Google Scholar]
  • Sarr O, Kindong R, Sow FN, Tian S. 2023. Estimation of Atlantic bonito (Sarda sarda) stock status in the Senegalese Exclusive Economic Zone (SEEZ) from the catch-based model (CMSY) and length-based bayesian estimation (LBB) method. Reg Stud Mar Sci 65: 103052. [Google Scholar]
  • Scanu M, Froglia C, Grati F, Bolognini L. 2024. Estimate of Growth Parameters of Penaeus kerathurus (Forskäl, 1775) (Crustacea, Penaeidae) in the Northern Adriatic Sea. Animals 14: 1068. [CrossRef] [PubMed] [Google Scholar]
  • Scrucca L. 2013. GA: a package for genetic algorithms in R. J Stat Softw 53: 1–37. [CrossRef] [Google Scholar]
  • Somers IF. 1988. On a seasonally oscillating growth function. ICLARM Fishbyte 6: 8–11. [Google Scholar]
  • Suresh VR, Varghese E, Sajina AM, Karna SK, Mohanty SK, Sethi PK, Mukherjee M, Banik SK, Jayaraman J, Munivenkatappa MH, Mukherjee J, Manna RK, Panda D. 2023. Assessment of data-limited fisheries: A case study of three finfish species in Chilika lagoon, India. Fish Manage Ecol 30: 182–202. [CrossRef] [Google Scholar]
  • Şener E, Varol S, Şener Ş, Davraz A. 2019. Assessment of the stream network pollution in the Eğirdir Lake Basin (Turkey) using water quality index and multivariate analysis. J Eng Sci Des 7: 352–368. [Google Scholar]
  • Taylor MH, Mildenberger TK. 2017. Extending electronic length frequency analysis in R. Fish Manage Ecol 24: 330–338. [CrossRef] [Google Scholar]
  • Tesch FW. 1971. “Age and growth,” in Methods for assessment offish productionin fresh waters. Ed. Ricker (Oxford: Blackwell Scientific Publications), 99–130. [Google Scholar]
  • Tesfaye M, Tesfaye G, Getahun A. 2021. Growth and status of Nile tilapia (Oreochromis niloticus L.) stock in Lake Chamo, Ethiopia. Lakes Reserv 26: e12375. [CrossRef] [Google Scholar]
  • Then AY, Hoenig JM, Hall NG, Hewitt DA. 2015. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES J Mar Sci 72: 82–92. [CrossRef] [Google Scholar]
  • Thompson WF, Bell FH. 1934. Biological statistics of the Pacific halibut fishery. (2) Effect of changes in intensity upon total yield and yield per unit of gear. International Fisheries Commission, Report No. 8 49 pp. [Google Scholar]
  • Walters C, Maguire JJ. 1996. Lessons for stock assessment from the northern cod collapse. Rev Fish Biol Fish 6: 125–137. [Google Scholar]
  • Wang K, Zhang C, Xu B, Xue Y, Ren Y. 2020. Selecting optimal bin size to account for growth variability in Electronic LEngth Frequency ANalysis (ELEFAN). Fish Res 225: 105474. [CrossRef] [Google Scholar]
  • Wickham H. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. [Google Scholar]
  • Xiang Y, Gubian S, Suomela B, Hoeng J. 2013. Generalized simulated annealing for efficient global optimization: the GenSA package for R. The R Journal 5: 13–28. [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.