Volume 39 Issue 4
Apr.  2020
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Lei Xing, Yong Chen, Chongliang Zhang, Bai Li, Yunne-Jai Shin, Yiping Ren. Evaluating impacts of pulse fishing on the effectiveness of seasonal closure[J]. Acta Oceanologica Sinica, 2020, 39(4): 89-99. doi: 10.1007/s13131-020-1536-x
Citation: Lei Xing, Yong Chen, Chongliang Zhang, Bai Li, Yunne-Jai Shin, Yiping Ren. Evaluating impacts of pulse fishing on the effectiveness of seasonal closure[J]. Acta Oceanologica Sinica, 2020, 39(4): 89-99. doi: 10.1007/s13131-020-1536-x

Evaluating impacts of pulse fishing on the effectiveness of seasonal closure

doi: 10.1007/s13131-020-1536-x
Funds:  The Fundamental Research Funds for the Central Universities under contract Nos 201512002 and 201612002.
More Information
  • Corresponding author: E-mail: renyip@ouc.edu.cn
  • Received Date: 2019-03-25
  • Accepted Date: 2019-06-24
  • Available Online: 2020-12-28
  • Publish Date: 2020-04-25
  • Seasonal fishing closures are often used in fisheries management to conserve overfished stocks. As one of the unintended consequences, fishermen often contend for maximizing catches immediately after reopening fisheries. The resultant large catch landings in a short time period (i.e., pulse fishing) may undermine the benefit of closure. We implemented an end-to-end model OSMOSE-JZB (Object-oriented Simulator of Marine ecOSystem Exploitation OSMOSE) modelling ecosystem in the Jiaozhou Bay located in China to evaluate the impact of pulse fishing on the effectiveness of seasonal closure at levels of fish community, population, and individual. Our study demonstrated that the three-month closure was successful in conserving fish stocks. There were small variations on ecological indicators (i.e., total biomass of the community, mean trophic level of the community, mean trophic level of the catch, and Shannon-Wiener biodiversity index) when pulse fishing occurred. Pulse fishing seemed not to result in a great shift in community structure. Compared to other species, the biomass of two large predatory fishes were more susceptible to pulse fishing. Pulse fishing could change the pressure of predators to fish stocks via food webs, especially for young individuals. Our simulations indicate that we can improve the effectiveness of seasonal closure by managing pulse fishing. Although the results derived in this study may be specific to the target ecosystem, the general approach is applicable to other ecosystems when evaluating fishing impacts.
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  • [1]
    Aita M N, Yamanaka Y, Kishi M J. 2007. Interdecadal variation of the lower trophic ecosystem in the northern Pacific between 1948 and 2002, in a 3-D implementation of the NEMURO model. Ecological Modelling, 202(1–2): 81–94
    [2]
    Anderson C N K, Hsieh C H, Sandin S A, et al. 2008. Why fishing magnifies fluctuations in fish abundance. Nature, 452(7189): 835–839. doi: 10.1038/nature06851
    [3]
    Blanchard J L, Coll M, Trenkel V M, et al. 2010. Trend analysis of indicators: a comparison of recent changes in the status of marine ecosystems around the world. ICES Journal of Marine Science, 67(4): 732–744. doi: 10.1093/icesjms/fsp282
    [4]
    Chen Bo. 2007. Discussion on improving the management of closed fishing season of summer and protecting the fisheries resources. Journal of Zhejiang Ocean University (Natural Science) (in Chinese), 26(2): 205–209
    [5]
    Chen Changsheng, Liu Hedong, Beardsley R C. 2003. An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: application to coastal ocean and estuaries. Journal of Atmospheric and Oceanic Technology, 20(1): 159–186. doi: 10.1175/1520-0426(2003)020<0159:AUGFVT>2.0.CO;2
    [6]
    Clarke J, Bailey D M, Wright P J. 2015. Evaluating the effectiveness of a seasonal spawning area closure. ICES Journal of Marine Science, 72(9): 2627–2637. doi: 10.1093/icesjms/fsv144
    [7]
    Cohen P J, Cinner J E, Foale S. 2013. Fishing dynamics associated with periodically harvested marine closures. Global Environmental Change, 23(6): 1702–1713. doi: 10.1016/j.gloenvcha.2013.08.010
    [8]
    Cohen P J, Foale S J. 2013. Sustaining small-scale fisheries with periodically harvested marine reserves. Marine Policy, 37: 278–287. doi: 10.1016/j.marpol.2012.05.010
    [9]
    Coll M, Navarro J, Palomera I. 2013. Ecological role, fishing impact, and management options for the recovery of a Mediterranean endemic skate by means of food web models. Biological Conservation, 157: 108–120. doi: 10.1016/j.biocon.2012.06.029
    [10]
    Collie J S, Botsford L W, Hastings A, et al. 2016. Ecosystem models for fisheries management: finding the sweet spot. Fish and Fisheries, 17(1): 101–125. doi: 10.1111/faf.12093
    [11]
    Da-Rocha J M, Nøstbakken L, Pérez M. 2014. Pulse fishing and stock uncertainty. Environmental and Resource Economics, 59(2): 257–274. doi: 10.1007/s10640-013-9727-y
    [12]
    Eddy T D, Lotze H K, Fulton E A, et al. 2017. Ecosystem effects of invertebrate fisheries. Fish and Fisheries, 18(1): 40–53. doi: 10.1111/faf.12165
    [13]
    Foale S, Manele B. 2004. Social and political barriers to the use of Marine Protected Areas for conservation and fishery management in Melanesia. Asia Pacific Viewpoint, 45(3): 373–386. doi: 10.1111/j.1467-8373.2004.00247.x
    [14]
    Fogarty M J. 2014. The art of ecosystem-based fishery management. Canadian Journal of Fisheries and Aquatic Sciences, 71(3): 479–490. doi: 10.1139/cjfas-2013-0203
    [15]
    Fu Caihong, Olsen N, Taylor N, et al. 2017. Spatial and temporal dynamics of predator-prey species interactions off western Canada. ICES Journal of Marine Science, 74(8): 2107–2119. doi: 10.1093/icesjms/fsx056
    [16]
    Fulton E A, Smith A D M, Punt A E. 2005. Which ecological indicators can robustly detect effects of fishing?. ICES Journal of Marine Science, 62(3): 540–551. doi: 10.1016/j.icesjms.2004.12.012
    [17]
    Fulton E A, Smith A D M, Smith D C, et al. 2011. Human behaviour: the key source of uncertainty in fisheries management. Fish and Fisheries, 12(1): 2–17. doi: 10.1111/j.1467-2979.2010.00371.x
    [18]
    Grüss A, Harford W J, Schirripa M J, et al. 2016a. Management strategy evaluation using the individual-based, multispecies modeling approach OSMOSE. Ecological Modelling, 340: 86–105. doi: 10.1016/j.ecolmodel.2016.09.011
    [19]
    Grüss A, Schirripa M J, Chagaris D, et al. 2016b. Estimating natural mortality rates and simulating fishing scenarios for Gulf of Mexico red grouper (Epinephelus morio) using the ecosystem model OSMOSE-WFS. Journal of Marine Systems, 154: 264–279. doi: 10.1016/j.jmarsys.2015.10.014
    [20]
    Halouani G, Lasram F B R, Shin Y J, et al. 2016. Modelling food web structure using an end-to-end approach in the coastal ecosystem of the Gulf of Gabes (Tunisia). Ecological Modelling, 339: 45–57. doi: 10.1016/j.ecolmodel.2016.08.008
    [21]
    Hamel P, Bryant B P. 2017. Uncertainty assessment in ecosystem services analyses: seven challenges and practical responses. Ecosystem Services, 24: 1–15. doi: 10.1016/j.ecoser.2016.12.008
    [22]
    Han Dongyan, Chen Yong, Zhang Chongliang, et al. 2017. Evaluating impacts of intensive shellfish aquaculture on a semi-closed marine ecosystem. Ecological Modelling, 359: 193–200. doi: 10.1016/j.ecolmodel.2017.05.024
    [23]
    Han Dongyan, Xue Ying, Ren Yiping, et al. 2015. Spatial and seasonal variations in the trophic spectrum of demersal fish assemblages in Jiaozhou Bay, China. Chinese Journal of Oceanology and Limnology, 33(4): 934–944. doi: 10.1007/s00343-015-4242-3
    [24]
    Hilborn R. 2011. Future directions in ecosystem based fisheries management: a personal perspective. Fisheries Research, 108(2–3): 235–239
    [25]
    Ichinokawa M, Okamura H, Watanabe C, et al. 2015. Effective time closures: quantifying the conservation benefits of input control for the Pacific chub mackerel fishery. Ecological Applications, 25(6): 1566–1584. doi: 10.1890/14-1216.1
    [26]
    Jiang Yazhou, Cheng Jiahua, Li Shengfa. 2009. Temporal changes in the fish community resulting from a summer fishing moratorium in the northern East China Sea. Marine Ecology Progress Series, 387: 265–273. doi: 10.3354/meps08078
    [27]
    Jørgensen C, Enberg K, Dunlop E S, et al. 2007. Ecology: managing evolving fish stocks. Science, 318(5854): 1247–1248. doi: 10.1126/science.1148089
    [28]
    Kiyama S, Yamazaki S. 2018. The impact of stock collapse on small-scale fishers’ behavior: evidence from Japan. Canadian Journal of Fisheries and Aquatic Sciences, 75(12): 2241–2254. doi: 10.1139/cjfas-2017-0091
    [29]
    Lassalle G, Bourdaud P, Saint-Béat B, et al. 2014. A toolbox to evaluate data reliability for whole-ecosystem models: application on the Bay of Biscay continental shelf food-web model. Ecological Modelling, 285: 13–21. doi: 10.1016/j.ecolmodel.2014.04.002
    [30]
    Link J S, Ihde T F, Harvey C J, et al. 2012. Dealing with uncertainty in ecosystem models: the paradox of use for living marine resource management. Progress in Oceanography, 102: 102–114. doi: 10.1016/j.pocean.2012.03.008
    [31]
    Moffitt E A, Punt A E, Holsman K, et al. 2016. Moving towards ecosystem-based fisheries management: options for parameterizing multi-species biological reference points. Deep Sea Research Part II: Topical Studies in Oceanography, 134: 350–359. doi: 10.1016/j.dsr2.2015.08.002
    [32]
    Murawski S A, Wigley S E, Fogarty M J, et al. 2005. Effort distribution and catch patterns adjacent to temperate MPAs. ICES Journal of Marine Science, 62(6): 1150–1167. doi: 10.1016/j.icesjms.2005.04.005
    [33]
    Myers R A, Worm B. 2005. Extinction, survival or recovery of large predatory fishes. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 360(1453): 13–20. doi: 10.1098/rstb.2004.1573
    [34]
    Patrick W S, Link J S. 2015. Myths that continue to impede progress in ecosystem-based fisheries management. Fisheries, 40(4): 155–160. doi: 10.1080/03632415.2015.1024308
    [35]
    Purcell S W, Mercier A, Conand C, et al. 2013. Sea cucumber fisheries: global analysis of stocks, management measures and drivers of overfishing. Fish and Fisheries, 14(1): 34–59. doi: 10.1111/j.1467-2979.2011.00443.x
    [36]
    Samy-Kamal M, Forcada A, Lizaso J L S. 2015. Effects of seasonal closures in a multi-specific fishery. Fisheries Research, 172: 303–317. doi: 10.1016/j.fishres.2015.07.027
    [37]
    Shannon L J, Coll M, Neira S. 2009. Exploring the dynamics of ecological indicators using food web models fitted to time series of abundance and catch data. Ecological Indicators, 9(6): 1078–1095. doi: 10.1016/j.ecolind.2008.12.007
    [38]
    Shen Gongming, Heino M. 2014. An overview of marine fisheries management in China. Marine Policy, 44: 265–272. doi: 10.1016/j.marpol.2013.09.012
    [39]
    Shin Y J, Bundy A, Shannon L J, et al. 2012. Global in scope and regionally rich: an IndiSeas workshop helps shape the future of marine ecosystem indicators. Reviews in Fish Biology and Fisheries, 22(3): 835–845. doi: 10.1007/s11160-012-9252-z
    [40]
    Shin Y J, Cury P. 2001. Exploring fish community dynamics through size-dependent trophic interactions using a spatialized individual-based model. Aquatic Living Resources, 14(2): 65–80. doi: 10.1016/S0990-7440(01)01106-8
    [41]
    Shin Y J, Cury P. 2004. Using an individual-based model of fish assemblages to study the response of size spectra to changes in fishing. Canadian Journal of Fisheries and Aquatic Sciences, 61(3): 414–431. doi: 10.1139/f03-154
    [42]
    Shin Y J, Rochet M J, Jennings S, et al. 2005. Using size-based indicators to evaluate the ecosystem effects of fishing. ICES Journal of Marine Science, 62(3): 384–396. doi: 10.1016/j.icesjms.2005.01.004
    [43]
    Shin Y J, Shannon L J, Bundy A, et al. 2010. Using indicators for evaluating, comparing, and communicating the ecological status of exploited marine ecosystems. 2. Setting the scene. ICES Journal of Marine Science, 67(4): 692–716. doi: 10.1093/icesjms/fsp294
    [44]
    Travers M, Shin Y J, Jennings S, et al. 2009. Two-way coupling versus one-way forcing of plankton and fish models to predict ecosystem changes in the Benguela. Ecological Modelling, 220(21): 3089–3099. doi: 10.1016/j.ecolmodel.2009.08.016
    [45]
    Travers M, Shin Y J, Shannon L, et al. 2006. Simulating and testing the sensitivity of ecosystem-based indicators to fishing in the southern Benguela ecosystem. Canadian Journal of Fisheries and Aquatic Sciences, 63(4): 943–956. doi: 10.1139/f06-003
    [46]
    van Putten I E, Kulmala S, Thébaud O, et al. 2012. Theories and behavioural drivers underlying fleet dynamics models. Fish and Fisheries, 13(2): 216–235. doi: 10.1111/j.1467-2979.2011.00430.x
    [47]
    Vergnon R, Shin Y J, Cury P. 2008. Cultivation, Allee effect and resilience of large demersal fish populations. Aquatic Living Resources, 21(3): 287–295. doi: 10.1051/alr:2008042
    [48]
    Wang Zhongyuan. 2008. The primary researching about Effectiveness of fishing ban in summer in our country (in Chinese) [dissertation]. Qingdao: Ocean University of China
    [49]
    Wang Ying, Duan Lijie, Li Shiyu, et al. 2015. Modeling the effect of the seasonal fishing moratorium on the Pearl River Estuary using ecosystem simulation. Ecological Modelling, 312: 406–416. doi: 10.1016/j.ecolmodel.2015.06.011
    [50]
    Ward B A, Dutkiewicz S, Jahn O, et al. 2012. A size-structured food-web model for the global ocean. Limnology and Oceanography, 57(6): 1877–1891. doi: 10.4319/lo.2012.57.6.1877
    [51]
    Weeratunge N, Béné C, Siriwardane R, et al. 2014. Small-scale fisheries through the wellbeing lens. Fish and Fisheries, 15(2): 255–279. doi: 10.1111/faf.12016
    [52]
    Williams I D, Walsh W J, Miyasaka A, et al. 2006. Effects of rotational closure on coral reef fishes in Waikiki-Diamond Head Fishery Management Area, Oahu, Hawaii. Marine Ecology Progress Series, 310: 139–149. doi: 10.3354/meps310139
    [53]
    Xing Lei, Zhang Chongliang, Chen Yong, et al. 2017. An individual-based model for simulating the ecosystem dynamics of Jiaozhou Bay, China. Ecological Modelling, 360: 120–131. doi: 10.1016/j.ecolmodel.2017.06.010
    [54]
    Zhang Chongliang, Chen Yong, Ren Yiping. 2015. Assessing uncertainty of a multispecies size-spectrum model resulting from process and observation errors. ICES Journal of Marine Science, 72(8): 2223–2233. doi: 10.1093/icesjms/fsv086
    [55]
    Zhu Yugui. 2009. Research on the effects of China's summer fishing moratorium—a perspective of institutional analysis (in Chinese) [dissertation]. Qingdao: Ocean University of China
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