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Li Gao, Yingbin Wang. Influences of environmental factors on the spawning stock-recruitment relationship of Portunus trituberculatus in the northern East China Sea[J]. Acta Oceanologica Sinica.
Citation: Li Gao, Yingbin Wang. Influences of environmental factors on the spawning stock-recruitment relationship of Portunus trituberculatus in the northern East China Sea[J]. Acta Oceanologica Sinica.

Influences of environmental factors on the spawning stock-recruitment relationship of Portunus trituberculatus in the northern East China Sea

Funds:  The National Key Research and Development Program of China under contract Nos 2017YFA0604902 and 2019YFD0901304; the Public Welfare Technology Application Research Project of Zhejiang under contract No. LGN21C190009.
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  • Based on the Ricker-type models, the spawning stock-recruitment (S-R) relationship of Portunus trituberculatus was analysed under the impacts of environmental factors (including red tide area (AORT), sea level height (SLH), sea surface salinity (SSS) and typhoon landing times (TYP)) in the northern East China Sea 2001 and 2014. Besides the traditional Ricker model, two other Ricker-type S-R models were built: Ricker model with ln-linear environmental impact (Ricker-type 2) and Ricker model with ln-quadratic polynomial environmental impact (Ricker-type 3). Results showed that AORT, SLH, SSS and TYP had great influences on the recruitment of P. trituberculatus. When SSS reached 29 and 31, recruitment decreased from 20.7×103 million to 8.3×103 million individuals. In this case, recruitment declined, whereas AORT and TYP increased. Analysis of the S-R model showed the Akaike information criterion (AIC) value of the traditional Ricker model was 14.619, which remarkably decreased after addition of the environmental factors. Different numbers of environmental factors were added to the Ricker model, and the best result was obtained when four factors were added to the model together. Moreover, Ricker-type 2 model, with the AIC value of −5.307, was better than Ricker-type 3 model (add above four environmental factors at the same time). The findings indicated that the mechanisms by which various environmental factors affect the S-R relationship are different.
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  • [1]
    Anderson C I H, Rodhouse P G. 2001. Life cycles, oceanography and variability: ommastrephid squid in variable oceanographic environments. Fisheries Research, 54(1): 133–143. doi: 10.1016/s0165-7836(01)00378-2
    Ariyama H, Secor D H. 2010. Effect of environmental factors, especially hypoxia and typhoons, on recruitment of the gazami crab Portunus trituberculatus in Osaka Bay, Japan . Fisheries Science, 76(2): 315–324. doi: 10.1007/s12562-009-0198-6
    Arzul G, Gentien P, Crassous M P. 1994. A haemolytic test to assay toxins excreted by the marine dinoflagellate Gyrodinium cf. Aureolum . Water Research, 28(4): 961–965. doi: 10.1016/0043-1354(94)90105-8
    Baylon J, Suzuki H. 2007. Effects of changes in salinity and temperature on survival and development of larvae and juveniles of the crucifix crab Charybdis feriatus (Crustacea: Decapoda: Portunidae). Aquaculture, 269(1–4): 390–401. doi: 10.1016/j.aquaculture.2007.03.024
    Campbell R A. 2004. CPUE standardisation and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fisheries Research, 70(2–3): 209–227. doi: 10.1016/j.fishres.2004.08.026
    Cao Jie, Feng Bo, Chen Xinjun. 2010. Optimizing stock-recruitment Ricker model for yellowfin tuna (Thunnus albacares) incorporated with average vertical sea temperature in the Indian Ocean. Transactions of Oceanology and Limnology, (1): 153–160
    Chen D G. 2001. Detecting environmental regimes in fish stock-recruitment relationships by fuzzy logic. Canadian Journal of Fisheries and Aquatic Sciences, 58(11): 2139–2148. doi: 10.1139/f01-155
    Chen Xiayue, Ren Yongkuan, Li Lianjun, et al. 2018. Effect of typhoon on the antioxidant system and Na+, K+-ATPase activity in Portunus trituberculatus . Journal of Marine Sciences, 36(3): 101–106
    Costa M J, Costa J, de Almeida P R, et al. 1994. Do eel grass beds and salt marsh borders act as preferential nurseries and spawning grounds for fish? An example of the Mira estuary in Portugal. Ecological Engineering, 3(2): 187–195. doi: 10.1016/0925-8574(94)90045-0
    Feng Bo, Chen Xinjun, Nishida T. 2010. Modeling on stock-recruitment relationship for Yellowfin Tuna (Thunnus albacares) in the Indian Ocean influenced by water temperature . Journal of Guangdong Ocean University, 30(3): 62–66
    Flaherty K E, Landsberg J H. 2011. Effects of a persistent red tide (Karenia brevis) bloom on community structure and species-specific relative abundance of nekton in a Gulf of Mexico estuary . Estuaries and Coasts, 34(2): 417–439. doi: 10.1007/s12237-010-9350-x
    Fu Dongyang, Luan Hong, Pan Delu, et al. 2016. Impact of two typhoons on the marine environment in the Yellow Sea and East China Sea. Chinese Journal of Oceanology and Limnology, 34(4): 871–884. doi: 10.1007/s00343-016-5049-6
    Fu Xiumei, Zhang Mengqi, Liu Yang, et al. 2018. Protective exploitation of marine bioresources in China. Ocean & Coastal Management, 163: 192–204. doi: 10.1016/j.ocecoaman.2018.06.018
    Fulford R S, Peterson M S, Wu W, et al. 2014. An ecological model of the habitat mosaic in estuarine nursery areas: Part II—Projecting effects of sea level rise on fish production. Ecological Modelling, 273: 96–108. doi: 10.1016/j.ecolmodel.2013.10.032
    Galindo-Cortes G, De Anda-Montañez J A, Arreguín-Sánchez F, et al. 2010. How do environmental factors affect the stock–recruitment relationship? The case of the Pacific sardine (Sardinops sagax) of the northeastern Pacific Ocean. Fisheries Research, 102(1–2): 173–183. doi: 10.1016/j.fishres.2009.11.010
    Giménez L. 2003. Potential effects of physiological plastic responses to salinity on population networks of the estuarine crab Chasmagnathus granulata . Helgoland Marine Research, 56(4): 265–273. doi: 10.1007/s10152-002-0127-x
    Guan Weibing, Xuan Fujun. 2019. A research paradigm of climate impacting reproductive dynamics of fishery resources: A case study of Portunus trituberculatus population in the East China Sea. Modern Fisheries Information, 34(4): 279–285. doi: 10.13233/j.cnki.fishis.2019.04.007
    Hall C J, Burns C W. 2003. Responses of crustacean zooplankton to seasonal and tidal salinity changes in the coastal Lake Waihola, New Zealand. New Zealand Journal of Marine and Freshwater Research, 37(1): 31–43. doi: 10.1080/00288330.2003.9517144
    Harford W J, Grüss A, Schirripa M J, et al. 2018. Handle with care: establishing catch limits for fish stocks experiencing episodic natural mortality events. Fisheries Magazine, 43(10): 463–471. doi: 10.1002/fsh.10131
    Hilborn R, Walters C J. 1992. Quantitative fisheries stock assessment: choice, dynamics and uncertainty. London, UK: Chapman & Hall
    Ho C H, Yagi N, Tian Yongjun. 2020. An impact and adaptation assessment of changing coastal fishing grounds and fishery industry under global change. Mitigation and Adaptation Strategies for Global Change, 25(6): 1073–1102. doi: 10.1007/s11027-020-09922-5
    Hobbs N T, Hilborn R. 2006. Alternatives to statistical hypothesis testing in ecology: a guide to self teaching. Ecological Applications, 16(1): 5–19. doi: 10.1890/04-0645
    Jiao Min, Chen Xinjun, Gao Guoping. 2015. Research progress on the impact of climatic change on arctic fishery resources. Chinese Journal of Polar Research, 27(4): 454–462. doi: 10.13679/j.jdyj.2015.4.454
    Johnson J B, Omland K S. 2004. Model selection in ecology and evolution. Trends in Ecology & Evolution, 19(2): 101–108. doi: 10.1016/j.tree.2003.10.013
    Keyl F, Wolff M. 2008. Environmental variability and fisheries: what can models do?. Reviews in Fish Biology and Fisheries, 18(3): 273–299. doi: 10.1007/s11160-007-9075-5
    Kim C, Lee Y, Park B U. 2001. Cook’s distance in local polynomial regression. Statistics & Probability Letters, 54(1): 33–40. doi: 10.1016/s0167-7152(01)00031-1
    Kirkpatrick B, Fleming L E, Squicciarini D, et al. 2004. Literature review of Florida red tide: implications for human health effects. Harmful Algae, 3(2): 99–115. doi: 10.1016/j.hal.2003.08.005
    Lin Qinqin, Chen Xinjun, Dai Libin. 2018. Comparative analysis of stock-recruitment model for Scomber japonicus in the Pacific based on environment factors. Marine Fisheries, 40(3): 279–286. doi: 10.13233/j.cnki.mar.fish.2018.03.003
    Liu Shuang, Sun Jinsheng, Hurtado L A. 2013. Genetic differentiation of Portunus trituberculatus, the world’s largest crab fishery, among its three main fishing areas . Fisheries Research, 148: 38–46. doi: 10.1016/j.fishres.2013.08.003
    Lou Xiulin, Huang Weigen, Mao Xianmou, et al. 2006. Satellite observation of a red tide in the East China Sea during 2005. In: Proceedings Volume 6406, Remote Sensing of the Marine Environment. Goa, India: SPIE, 6406, doi: 10.1117/12.693856
    Lu Yunliang, Wang Fang, Zhao Zhuoying, et al. 2012. Effects of salinity on growth, molt and energy utilization of juvenile swimming crab Portunus trituberculatus . Fisheries Science, 13(4): 237–245. doi: 10.3724/sp.j.1118.2012.00237
    Myers R A. 2002. Recruitment: understanding density-dependence in fish populations. In: Hart P J B, Reynolds J D, eds. Handbook of Fish Biology and Fisheries: Fish Biology. Malden, Maine: Blackwell Science Ltd., 123–148, doi: 10.1002/9780470693803.ch6
    Myers R A, Hutchings J A, Barrowman N J. 1996. Hypotheses for the decline of cod in the North Atlantic. Marine Ecology Progress Series, 138: 293–308. doi: 10.3354/meps138293
    Neely T, Campbell L. 2006. A modified assay to determine hemolytic toxin variability among Karenia clones isolated from the Gulf of Mexico. Harmful Algae, 5(5): 592–598. doi: 10.1016/j.hal.2005.11.006
    Palacios D M, Bograd S J, Foley D G, et al. 2006. Oceanographic characteristics of biological hot spots in the North Pacific: a remote sensing perspective. Deep Sea Research Part II:Topical Studies in Oceanography, 53(3–4): 250–269. doi: 10.1016/j.dsr2.2006.03.004
    Paulay G. 1990. Effects of late Cenozoic sea-level fluctuations on the bivalve faunas of tropical oceanic islands. Paleobiology, 16(4): 415–434. doi: 10.1017/s0094837300010162
    Pécuchet L, Nielsen J R, Christensen A. 2015. Impacts of the local environment on recruitment: a comparative study of North Sea and Baltic Sea fish stocks. ICES Journal of Marine Science, 72(5): 1323–1335. doi: 10.1093/icesjms/fsu220
    Rashed-Un-Nabi M, Ee L S, Hoque M A, et al. 2010. Effects of red tide on physico-chemical properties of water and phytoplankton assemblage in Sepanggar Bay, Sabah, Malaysia. International Journal of Ecology & Enviromental Sciences, 36(4): 245–251
    Romano N, Zeng Chaoshu. 2006. The effects of salinity on the survival, growth and haemolymph osmolality of early juvenile blue swimmer crabs, Portunus pelagicus. Aquaculture, 260(1–4): 151–162. doi: 10.1016/j.aquaculture.2006.06.019
    Sakuramoto K. 2005. Does the Ricker or Beverton and Holt type of stock-recruitment relationship truly exist?. Fisheries Science, 71(3): 577–592. doi: 10.1111/j.1444-2906.2005.01002.x
    Sakuramoto K. 2013. A recruitment forecasting model for the Pacific stock of the Japanese sardine (Sardinops melanostictus) that does not assume density-dependent effects . Agricultural Sciences, 4(6A): 1–8. doi: 10.4236/as.2013.46a001
    Schaaf A. 1996. Sea level changes, continental shelf morphology, and global paleoecological constraints in the shallow benthic realm: a theoretical approach. Palaeogeography, Palaeoclimatology, Palaeoecology, 121(3–4): 259–271. doi: 10.1016/0031-0182(95)00085-2
    Shentu Jikang, Xu Yongjian, Ding Zhangni. 2015. Effects of salinity on survival, feeding behavior and growth of the juvenile swimming crab, Portunus trituberculatus (Miers, 1876) . Chinese Journal of Oceanology and Limnology, 33(3): 679–684. doi: 10.1007/s00343-015-4218-3
    Shih C L, Chen Y H, Hsu C C. 2014. Modeling the effect of environmental factors on the ricker stock-recruitment relationship for North Pacific albacore using generalized additive models. Terrestrial, Atmospheric and Oceanic Sciences Journal, 25(4): 581–590. doi: 10.3319/tao.2014.01.27.01(oc
    Song Chao, Hou Junli, Zhao Feng, et al. 2017. Macrobenthos community structure and its relationship with environment factors in the offshore wind farm of the East China Sea Bridge in spring and autumn. Marine Fisheries, 39(1): 21–29. doi: 10.3969/j.issn.1004-2490.2017.01.003
    Song Haitang, Yu Cungen, Xue Lijian. 2012. The East China Sea Economic Crustacean Fisheries Biology (in Chinese). Beijing: China Ocean Press
    Sun Jie, Wang Yingbin, Wang Xiaogang. 2018. Effects of three major marine disasters on recruitment of swimming crab portunus trituberculatus in sea area of northern Zhejiang province. Fisheries Science, 37(6): 728–734. doi: 10.16378/j.cnki.1003-1111.2018.06.002
    Teal J M. 1958. Distribution of fiddler crabs in Georgia salt marshes. Ecology, 39(2): 185–193. doi: 10.2307/1931862
    Wang Zhaohui, Chen Jufang, Xu Ning, et al. 2001. Relationship between seasonal variations in Gymnodinium spp. population and environmental factors in Daya Bay, the South China Sea. Acta Ecologica Sinica, 21(11): 1825–1832
    Wang Yanjun, Liu Qun, Ren Yiping. 2005. Comparision of AIC and BIC in the selection of stock-recruitment relationships. Periodical of Ocean University of China, 35(3): 397–403. doi: 10.16441/j.cnki.hdxb.2005.03.009
    Wang Xuming, Wang Weiqi, Tong Chuan. 2016. A review on impact of typhoons and hurricanes on coastal wetland ecosystems. Acta Ecologica Sinica, 36(1): 23–29. doi: 10.1016/j.chnaes.2015.12.006
    Wang Yingbin, Wang Xiaogang, Ye Ting, et al. 2017a. Spawner-recruit analysis of portunus (Portunus) Trituberculatus (Miers, 1876) in the case of stock enhancement implementation: a case study in Zhejiang Sea Area, China. Turkish Journal of Fisheries and Aquatic Sciences, 17(2): 293–299. doi: 10.4194/1303-2712-v17_2_08
    Wang Yingbin, Ye Ting, Wang Xiaogang, et al. 2017b. Impact of main factors on the catch of Portunus trituberculatus in the northern East China Sea. Pakistan Journal of Zoology, 49(1): 13–17. doi: 10.17582/journal.pjz/2017.
    Whitehead J C, Poulter B, Dumas C F, et al. 2009. Measuring the economic effects of sea level rise on shore fishing. Mitigation and Adaptation Strategies for Global Change, 14(8): 777. doi: 10.1007/s11027-009-9198-1
    Yan Wenchao. 2019. Study on the relationship between the catch fluctuation of Portunus trituberculatus and the human disturbance and environment factors in Zhejiang fishery (in Chinese) [dissertation]. Zhoushan: Zhejiang Ocean University
    Ye Haijun, Tang Danlig, Pan Gang. 2014. The contribution of typhoon Megi on phytoplankton and fishery productivity in the South China Sea. Ecological Science, 33(4): 657–663. doi: 10.14108/j.cnki.1008-8873.2014.04.005
    Yu Jie, Chen Guobao, Chen Zuozhi, et al. 2015. Theimpacts of typhoon "Kai-tak" on fishery in west Guangdong fishing ground. Marine Environmental Science, 34(3): 411–419. doi: 10.13634/j.cnki.mes.2015.03.016
    Yu Cungen, Song Haitang, Yao Guangzhan, et al. 2003. Study on rational utilization of crab resources in the inshore waters of Zhejiang. Marine Fisheries, 25(3): 136–141. doi: 10.3969/j.issn.1004-2490.2003.03.008
    Yuan Wei, Jin Xianshi, Shan Xiujuan. 2016. Population biology and relationship with environmental factors of swimming crab in the Changjiang River Estuary and adjacent waters. Fisheries Science, 35(2): 105–110. doi: 10.16378/j.cnki.1003-1111.2016.02.002
    Zhan Bingyi. 1995. Fish Stock Assessment (in Chinese). Beijing: China Agriculture Press
    Zhang Debo, Li Aiguo. 1992. The study of salinity and suitable salinity of the survival lower limit of Portunus trituberculatus zoea larva . Marine Science, 16(1): 8–10
    Zhao X, Hamre J, Li F, et al. 2003. Recruitment, sustainable yield and possible ecological consequences of the sharp decline of the anchovy (Engraulis japonicus) stock in the Yellow Sea in the 1990s. Fisheries Oceanography, 12(4–5): 495–501. doi: 10.1046/j.1365-2419.2003.00262.x
    Zheng Jie, Kruse G H. 2003. Stock-recruitment relationships for three major Alaskan crab stocks. Fisheries Research, 65(1–3): 103–121. doi: 10.1016/j.fishres.2003.09.010
    Zheng Fang, Liu Qun, Wang Yanjun. 2008. Study of impacts of environmental factors on stock and recruitment relationship of the anchovy stock in the Yellow Sea. South China Fisheries Science, 4(2): 15–20. doi: 10.3969/j.issn.2095-0780.2008.02.003
    Zhu Dadi, Lu Douding, Wang Yunfeng, et al. 2009. The low temperature characteristics in Zhejiang coastal region in the early spring of 2005 and its influence on harmful algae bloom occurrence of Prorocentrum donghaiense . Haiyang Xuebao, 31(6): 31–39. doi: 10.3321/j.issn:0253-4193.2009.06.004
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