[1] Kilada R, Acuña E. Direct age determination by growth band counts of three commercially important crustacean species in Chile. Fisheries Research, 2015, 170: 134-143 [2] Zhu GP, Yang Y, Song Q, et al. Precision of growth band determination from eyestalk sections of Antarctic krill (Euphausia superba) preserved in formalin. Fishe-ries Research, 2018, 197: 1-6 [3] Zhu G-P (朱国平), Song Q (宋 旗). Aging crustacean based on the lipofuscin analysis: A review. Chinese Journal of Ecology (生态学杂志), 2016, 35: 2225-2233 (in Chinese) [4] FAO. FAO Yearbook. Fishery Statistics. Rome: Food and Agriculture Organization of the United Nations, 2001 [5] Tully O, Freire J, Addison J. Crustacean fisheries. Fishe-ries Research, 2003, 65: 1-2 [6] Punt AE, Huang TC, Maunder MN. Review of integra-ted size-structured models for stock assessment of hard-to-age crustacean and mollusc species. ICES Journal of Marine Science, 2013, 70: 16-33 [7] Jones R. Assessing the Effects of Changes in Exploitation Pattern Using Length Composition Data (with Notes on VPA and Cohort Analysis). Rome: Food and Agriculture Organization of the United Nations, 1984 [8] Jones R, Van Zalinge NP. Estimates of mortality rate and population size for shrimp in Kuwait waters. Kuwait Bulletin of Marine Science, 1981, 2: 273-288 [9] Sickle JV. Mortality rates from size distributions. Oecologia, 1977, 27: 311-318 [10] Pauly D. Some Simple Methods for the Assessment of Tropical Fish Stocks. Rome: Food and Agriculture Organization of the United Nations, 1983 [11] Pauly D. Length-converted catch curves: A powerful tool for fisheries research in the tropics (Part I). ICLARM Fishbyte, 1983, 1: 9-13 [12] Pauly D. Length-converted catch curves: A powerful tool for fisheries research in the tropics (PartⅡ). ICLARM Fishbyte, 1984, 2: 9-17 [13] Pauly D. Length-converted catch curves: A powerful tool for fisheries research in the tropics (Part III: Conclusion). International Journal of Computer Applications, 1984, 103: 24-30 [14] Sparre P, Venema SC. Introduction to tropical fish stock assessment. Part 1. Manual. Rome: Food and Agriculture Organization of the United Nations, 1998 [15] Edser T. Note on the number of plaice at each length, in certain samples from the southern part of the North Sea, 1906. Journal of the Royal Statistical Society, 1908, 71: 686-690 [16] Heincke F. Investigations on the plaice. I. The plaice fishery and protective regulations. Rapports et Procès-Verbaux des Réunions du Conseil International pour l’Exploration de la Mer, 1913, 17: 1-153 [17] Ricker WE. Computation and interpretation of biological statistics of fish populations. Journal of Wildlife Management, 1975, 41: 234-246 [18] Sparre P, Venema SC. Introduction to tropical fish stock assessment. Part I. FAO Fisheries Technical Paper, Rome, Italy, 1989, 20: 1287-1299 [19] Hilborn R, Walters CJ. Quantitative fisheries stock assessment: Choice, dynamics and uncertainty. Reviews in Fish Biology and Fisheries, 1992, 2: 177-178 [20] Lai HL, Gallucci VF. Effects of parameter variability on length-cohort analysis. ICES Journal of Marine Science, 1988, 45: 82-92 [21] Bannister RCA. Assessment and population dynamics of commercially exploited shellfish in England and Wales. North Pacific workshop on stock assessment and management of invertebrates. Canadian Special Publication of Fisheries and Aquatic Sciences, 1986, 92: 182-194 [22] Addison JT, Bennett DB. Assessment of minimum lan-ding sizes of the edible crab, Cancer pagurus L. on the east coast of England. Fisheries Research, 1992, 13: 67-88 [23] Cadrin SX, Estrella BT. Length-cohort analyses of U.S. American lobster stocks. Northeast Fisheries Center Refe-rence Document 96-15. Woods Hole, MA: Northeast Fisheries Center, 1996 [24] Rodríguez MG, Esteban A. On the biology and fishery of Aristeus antennatus (Risso, 1816), (Decapoda, Dendrobranchiata) in the Ibiza channel (Balearic Islands, Spain). Scientia Marina, 1999, 63: 27-37 [25] ICES. Report of the Working Group on Nephrops Stocks. Copenhagen, Denmark, International Council for the Exploration of the Sea, 2001 [26] ICES. Report on the Pandalus Assessment Working Group. Copenhagen, Denmark, International Council for the Exploration of the Sea, 2005 [27] Fournier DA, Sibert JR, Majkowski J, et al. MULTIFAN a likelihood-based method for estimating growth parameters and age composition from multiple length frequency data sets illustrated using data for southern bluefin tuna (Thunnus maccoyii). Canadian Journal of Fisheries and Aquatic Sciences, 1990, 47: 301-317 [28] Leslie PH. On the use of matrices in certain population mathematics. Biometrika, 1945, 33: 183-212 [29] Doubleday WG. A least squares approach to analyzing catch at age data. International Commission for Northwest Atlantic Fisheries Research Bulletin, 1976, 12: 69-81 [30] Fournier D, Archibald CP. A general theory for analyzing catch at age data. Canadian Journal of Fisheries and Aquatic Sciences, 1982, 39: 1195-1207 [31] Deriso RB, Quinn TJ, Neal PR. Catch-age analysis with auxiliary information. Canadian Journal of Fisheries and Aquatic Sciences, 1985, 42: 815-824 [32] Gudmundsson G. Statistical considerations in the analysis of catch-at-age observations. ICES Journal of Marine Science, 1986, 43: 83-90 [33] Kimura DK. Variability, tuning, and simulation for the doubleday-deriso catch-at-age model. Canadian Journal of Fisheries and Aquatic Sciences, 1989, 46: 941-949 [34] Punt AE, Kennedy RB, Frusher SD. Estimating the size-transition matrix for Tasmanian rock lobster, Jasus edwardsii. Marine and Freshwater Research, 1998, 48: 981-992 [35] Breen PA, Kendrick TH. An evaluation of surplus production analysis for assessing the fishery for New Zea-land red rock lobsters (Jasus edwardsii). Canadian Special Publication of Fisheries and Aquatic Sciences, 1998, 104: 213-224 [36] Mcgarvey R, Feenstra JE. Estimating length-transition probabilities as polynomial functions of premoult length. Marine and Freshwater Research, 2002, 52: 1517-1526 [37] Chen Y, Hunter M, Vadas R, et al. Developing a growth-transition matrix for the stock assessment of the green sea urchin (Strongylocentrotus droebachiensis) off Maine. Fishery Bulletin, 2003, 101: 737-744 [38] Punt AE, Kennedy RB, Frusher SD. Estimating the size-transition matrix for Tasmanian rock lobster, Jasus edwardsii. Marine and Freshwater Research, 1998, 48: 981-992 [39] Chen Y, Kanaiwa M, Wilson C. Developing and evaluating a size-structured stock assessment model for the American lobster, Homarus americanus, fishery. New Zealand Journal of Marine and Freshwater Research, 2005, 39: 645-660 [40] Ianelli JN, Barbeaux S, Honkalehto T, et al. Bering Sea-Aleutian Islands walleye pollock assessment for 2002. Stock Assessment and Fishery Evaluation Report for the Groundfish Resources of the Bering Sea/Aleutian Islands Regions. Anchorage, AK: North Pacific Fishery Management Council, 2001, 1: 1-79 [41] Zheng J, Murphy MC, Kruse GH. A length-based population model and stock-recruitment relationships for red king crab, Paralithodes camtschaticus, in Bristol Bay, Alaska. Canadian Journal of Fisheries and Aquatic Sciences, 1995, 52: 1229-1246 [42] Zhu G-P (朱国平), Wang R (王 芮). Catch per unit effort of Antarctic krill fishery and its suitability to abundance estimation. Journal of Fisheries of China (水产学报), 2016, 40(7): 1072-1079 (in Chinese) [43] Polovina JJ. A system of simultaneous dynamic production and forecast models for multiarea application. Canadian Journal of Fisheries and Aquatic Sciences, 1989, 46: 961-963 [44] Deriso RB. Harvesting strategies and parameter estimation for an age-structured model. Canadian Journal of Fisheries and Aquatic Sciences, 1980, 37: 268-282 [45] Schnute J. A general theory for analysis of catch and effort data. Canadian Journal of Fisheries and Aquatic Sciences, 1985, 42: 414-429 [46] Horbowy J. The differential alternative to the Deriso difference production model. ICES Journal of Marine Science, 1992, 49: 167-174 [47] Smith MT, Addison JT. Methods for stock assessment of crustacean fisheries. Fisheries Research, 2003, 65: 231-256 [48] Rios-Lara V, Salas S, Javier BP, et al. Distribution patterns of spiny lobster (Panulirus argus) at Alacranes reef, Yucatan: Spatial analysis and inference of prefe-rential habitat. Fisheries Research, 2007, 87: 35-45 [49] Miller RJ. Effectiveness of crab and lobster traps. Canadian Journal of Fisheries and Aquatic Sciences, 1990, 47: 1228-1251 [50] Allen KR. Some methods for estimating exploited populations. Journal of the Fisheries Research Board of Canada, 1966, 23: 1553-1574 [51] Chapman DG. Estimation of population size and sustai-nable yield of Sei whales in the Antarctic. Report of International Whaling Commission, 1974, 24: 82-90 [52] Sainsbury KJ. Population dynamics and fishery management of the paua, Haliotis iris. I. Population structure, growth, reproduction, and mortality. New Zealand Journal of Marine and Freshwater Research, 1982, 16: 147-161 [53] Collie JS, Sissenwine MP. Estimating population size from relative abundance data measured with error. Canadian Journal of Fisheries and Aquatic Sciences, 1983, 40: 1871-1879 [54] Kinzey D, Watters GM, Reiss CS. Selectivity and two biomass measures in an age-based assessment of Antarctic krill (Euphausia superba). Fisheries Research, 2015, 168: 72-84 [55] Pennington M, Volstad JH. Assessing the effect of intra-haul correlation and variable density on estimates of popu-lation characteristics from marine surveys. Biometrics, 1994, 50: 725-732 [56] Punt AE, Kennedy RB. Population modelling of Tasmania rock lobster, Jasus edwardsii, resources. Marine and Freshwater Research, 1997, 48: 967-980 [57] Breen PA, Haist V, Starr PJ, et al. The 2008 stock assessment of rock lobster (Jasus edwardsii) in CRA 3. New Zealand Fisheries Assessment Report, 2009, 23: 54 [58] Siddeek MSM, Zheng J. Evaluating the parameters of a MSY control rule for the Bristol Bay, Alaska, stock of red king crabs. ICES Journal of Marine Science, 2007, 64: 995-1005 [59] Punt AE, Deng RA, Dichmont CM, et al. Integrating size-structured assessment and bioeconomic management advice in Australia’s northern prawn fishery. ICES Journal of Marine Science, 2010, 67: 1785-1801 [60] Bentley N. Assessment of red rock lobsters (Jasus edwardsii) in CRA 1 and CRA 2 in 2002. New Zealand Fisheries Assessment Report, 2003, 41: 119 [61] McGarvey R, Linnane AJ, Feenstra JE, et al. Integrating recapture-conditioned movement estimation into spatial stock assessment: A South Australian lobster fishery application. Fisheries Research, 2010, 105: 80-90 [62] Breen PA, Kim SW, Andrew NL. A length-based Bayesian stock assessment model for the New Zealand abalone Haliotis iris. Marine and Freshwater Research, 2003, 54: 619-634 [63] Patterson K, Cook R, Darby C, et al. Estimating uncertainty in fish stock assessment and forecasting. Fish and Fisheries, 2001, 2: 125-157 |