CHEN Ning, ZHANG Chongliang, SUN Ming, XU Binduo, XUE Ying, REN Yiping, CHEN Yong. The impact of natural mortality variations on the performance of management procedures for Spanish mackerel (Scomberomorus niphonius) in the Yellow Sea, China[J]. Acta Oceanologica Sinica, 2018, 37(8): 21-30. doi: 10.1007/s13131-018-1234-0
Citation: CHEN Ning, ZHANG Chongliang, SUN Ming, XU Binduo, XUE Ying, REN Yiping, CHEN Yong. The impact of natural mortality variations on the performance of management procedures for Spanish mackerel (Scomberomorus niphonius) in the Yellow Sea, China[J]. Acta Oceanologica Sinica, 2018, 37(8): 21-30. doi: 10.1007/s13131-018-1234-0

The impact of natural mortality variations on the performance of management procedures for Spanish mackerel (Scomberomorus niphonius) in the Yellow Sea, China

doi: 10.1007/s13131-018-1234-0
  • Received Date: 2017-12-18
  • Rev Recd Date: 2018-02-01
  • Natural mortality rate (M) is one of the essential parameters in fishery stock assessment, however, the estimation of M is commonly rough and the changes of M due to natural and anthropogenic impacts have long been ignored. The simplification of M estimation and the influence of M variations on the assessment and management of fisheries stocks have been less well understood. This study evaluated the impacts of the changes in natural mortality of Spanish mackerel (Scomberomorus niphonius) on their management strategies with data-limited methods. We tested the performances of a variety of management procedures (MPs) with the variations of M in mackerel stock using diverse estimation methods. The results of management strategies evaluation showed that four management procedures DCAC, SPMSY, curE75 and minlenLopt1 were more robust to the changes of M than others; however, their performance were substantially influenced by the significant decrease of M from the 1970s to 2017. Relative population biomass (measure as the probability of B>0.5BMSY) increased significantly with the decrease of M, whereas the possibility of overfishing showed remarkable variations across MPs. The decrease of M had minor effects on the long-term yield of curE75 and minlenLopt1, and reduced the fluctuation of yield (measure as the probability of AAVY<15%) for DCAC, SPMSY. In general, the different methods for M estimation showed minor effects on the performance of MPs, whereas the temporal changes of M showed substantial influences. Considering the fishery status of Spanish mackerel in China, we recommended that curE75 has the best trade-off between fishery resources exploitation and conservation, and we also proposed the potentials and issues in their implementations.
  • loading
  • Brodziak J, Ianelli J, Lorenzen K, et al. 2011. Estimating natural mortality in stock assessment applications. NOAA Technical Memorandum NMFS-F/SPO-119. Washington, DC:US Department of Commerce, 38
    Butterworth D S. 2007. Why a management procedure approach? Some positives and negatives.. ICES Journal of Marine Science, 64(4):613-617
    Butterworth D S, Punt A E. 1999. Experiences in the evaluation and implementation of management procedures. ICES Journal of Marine Science, 56(6):985-998
    Carruthers T R, Hordyk A R. 2016. DLMtool:data-limited methods toolkit. https://cran.r-project.org/web/packages/DLMtool/index.html[2016-12-27/2017-03-11]
    Carruthers T R, Kell L T, Butterworth D D S, et al. 2015. Performance review of simple management procedures. ICES Journal of Marine Science, 73(2):464-482
    Carruthers T R, Walters C J, McAllister M K. 2012. Evaluating methods that classify fisheries stock status using only fisheries catch data. Fisheries Research, 119-120:66-79
    Cheng Qingtai, Wei Baoshan. 1987. Systematic Synopsis of Chinese Fishes (in Chinese). Beijing:Science Press
    Costello C, Ovando D, Hilborn R, et al. 2012. Status and solutions for the world's unassessed fisheries. Science, 338(6106):517-520
    Deroba J J, Schueller A M. 2013. Performance of stock assessments with misspecified age- and time-varying natural mortality. Fisheries Research, 146:27-40
    Dutil J D, Lambert Y. 2000. Natural mortality from poor condition in Atlantic cod (Gadus morhua). Canadian Journal of Fisheries and Aquatic Sciences, 57(4):826-836
    Fromentin J M, Bonhommeau S, Arrizabalaga H, et al. 2014. The spectre of uncertainty in management of exploited fish stocks:the illustrative case of Atlantic Bluefin tuna. Marine Policy, 47:8-14
    Gaertner D. 2015. Indirect estimates of natural mortality rates for Atlantic skipjack (Katsuwonus pelamis), using life history parameters. Collect Vol Sci Pap ICCAT, 71(1):189-204
    Gayanilo F C Jr, Soriano M, Pauly D. 1988. A draft guide to the complete ELEFAN. In:ICLARM Software 2. Manila, Philippines:International Center for Living Aquatic Resources Management
    Geromont H F, Butterworth D S. 2015. Generic management procedures for data-poor fisheries:forecasting with few data. ICES Journal of Marine Science, 72(1):251-261
    Gulland J A. 1971. The Fish Resources of the Ocean. West Byfleet, UK:Fishing News Books
    Hamel O S. 2015. A method for calculating a meta-analytical prior for the natural mortality rate using multiple life history correlates. ICES Journal of Marine Science, 72(1):62-69
    Hoenig J M. 1983. Empirical use of longevity data to estimate mortality rates. Fish Bull, 82:898-903
    Honey K T, Moxley J H, Fujita R M. 2010. From rags to fishes:data-poor methods for fishery managers. Managing Data-Poor Fisheries:Case Studies, Models & Solutions, 1:159-184
    Hordyk A, Ono K, Sainsbury K, et al. 2015. Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio. ICES Journal of Marine Science, 72(1):204-216
    Jiang Yiqian, Fan Yannan, Zheng Chunjing, et al. 2016. The effect of temperature on embryonic development of Scomberomorus niphonius. Journal of Zhejiang Ocean University (Natural Science), 35(4):271-275
    Johnson K F, Monnahan C C, McGilliard C R, et al. 2015. Time-varying natural mortality in fisheries stock assessment models:identifying a default approach. ICES Journal of Marine Science, 72(1):137-150
    Kenchington T J. 2014. Natural mortality estimators for information-limited fisheries. Fish and Fisheries, 15(4):533-562
    Kokkalis A, Eikeset A M, Thygesen U H, et al. 2017. Estimating uncertainty of data limited stock assessments. ICES Journal of Marine Science, 74(1):69-77
    Lee H H, Maunder M N, Piner K R, et al. 2011. Estimating natural mortality within a fisheries stock assessment model:an evaluation using simulation analysis based on twelve stock assessments. Fisheries Research, 109(1):89-94
    Liu Chanxin, Zhang Xu, Yang Kaiwen. 1982. Studies on the growth of Spanish mackerel, Scomberomorus niphonius in the Huanghai sea and Bohai sea. Oceanologia et Limnologia Sinica, 13(2):170-178
    Lin Qun, Wang Jun, Yuan Wei, et al. 2016. Effects of fishing and environmental change on the ecosystem of the Bohai Sea. Journal of Fishery Sciences of China, 23(3):619-629
    MacCall A D. 2009. Depletion-corrected average catch:a simple formula for estimating sustainable yields in data-poor situations. ICES Journal of Marine Science, 66(10):2267-2271
    Martell S, Froese R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries, 14(4):504-514
    Maunder M N. 2014. Management strategy evaluation (MSE) implementation in stock synthesis:application to pacific Bluefin tuna. IATTC Stock Assessment Report 15. La Jolla:Inter-American Tropical Tuna Commission, 100-117
    Pauly D. 1980. On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks. ICES Journal of Marine Science, 39(2):175-192
    Powers J E. 2014. Age-specific natural mortality rates in stock assessments:size-based vs. density-dependent. ICES Journal of Marine Science, 71(7):1629-1637
    Prince J, Hordyk A, Valencia S R, et al. 2015. Revisiting the concept of Beverton-Holt life-history invariants with the aim of informing data-poor fisheries assessment. ICES Journal of Marine Science, 72(1):194-203
    Qiu Shengyao, Ye Maozhong. 1996. Studies on the reproductive biology of Scomberomorus niphonius in the Yellow sea and Bohai sea. Oceanologia et Limnologia Sinica, 27(5):463-470
    Quiroz J C, Wiff R, Caneco B. 2010. Incorporating uncertainty into estimation of natural mortality for two species of Rajidae fished in Chile. Fisheries Research, 102(3):297-304
    R Development Core Team. 2016. R:a language and environment for statistical computing. Vienna, Austria:The R Foundation for Statistical Computing. http://www.R-project.org[2016-06-21/2016-09-25]
    Shui Bonian, Han Zhiqiang, Gao Tianxiang, et al. 2009. Mitochondrial DNA variation in the East China sea and Yellow sea populations of Japanese Spanish mackerel scomberomorus niphonius. Fisheries Science, 75(3):593-600
    Song Chao, Wang Yutan, Liu Zunlei, et al. 2016. Relationship between environmental factors and distribution of Scomberomorus niphonius eggs, larvae, and juveniles in Xiangshan Bay. Journal of Fishery Sciences of China, 23(5):1197-1204
    Suda M, Akamine T, Kishida T. 2005. Influence of environment factors, interspecific-relationships and fishing mortality on the stock fluctuation of the Japanese sardine, Sardinops melanostictus, off the Pacific coast of japan. Fisheries Research, 76(3):368-378
    Sun Benxiao. 2009. The current situation and conservation of Scomberomorus niphonius in Yellow sea and Bohai bay (in Chinese)[dissertation]. Beijing:Chinese Academy of Agricultural Sciences
    Sun Jiting, Lu Kun. 2016. Effect evaluation and implementation adjustment of "Double Control" system of Chinese marine fishing. Fujian Tribune,(11):49-55
    The Ministry of Agriculture Fishery and Fishery Administration. 2016. Chinese Fisheries Statistical Yearbook (in Chinese). Beijing:China Agriculture Press
    Then A Y, Hoenig J M, Hall N G, et al. 2015. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES Journal of Marine Science, 72(1):82-92
    Uriarte A, Ibaibarriaga L, Pawlowski L, et al. 2016. Assessing natural mortality of bay of biscay anchovy from survey population and biomass estimates. Canadian Journal of Fisheries and Aquatic Sciences, 73(2):216-234
    Whitlock R E, McAllister M K, Block B A. 2012. Estimating fishing and natural mortality rates for Pacific Bluefin tuna (Thunnus orientalis) using electronic tagging data. Fisheries Research, 119-120:115-127
    Windsland K. 2015. Total and natural mortality of red king crab (Paralithodes camtschaticus) in Norwegian waters:catch-curve analysis and indirect estimation methods. ICES Journal of Marine Science, 72(2):642-650
    Yan Liping, Liu Zunlei, Zhang Hui, et al. 2014. On the evolution of biological characteristics and resources of small yellow croaker. Marine Fisheries, 36(6):481-488
    You Zongbo. 2014. The selectivity of the big mesh gillnet for Scomberomorus niphonius (in Chinese)[dissertation]. Shanghai:Shanghai Ocean University
    Zheng Yuanjia, Li Jiansheng, Zhang Qiyong, et al. 2014. Research progresses of resource biology of important marine pelagic food fishes in China. Journal of Fisheries of China, 38(1):149-160
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1174) PDF downloads(620) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return