Abstract
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.
References
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
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: https://doi.org/10.1038/nature06851
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: https://doi.org/10.1093/icesjms/fsp282
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
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: https://doi.org/10.1175/1520-0426(2003)020<0159:AUGFVT>2.0.CO;2
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: https://doi.org/10.1093/icesjms/fsv144
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: https://doi.org/10.1016/j.gloenvcha.2013.08.010
Cohen P J, Foale S J. 2013. Sustaining small-scale fisheries with periodically harvested marine reserves. Marine Policy, 37: 278–287, doi: https://doi.org/10.1016/j.marpol.2012.05.010
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: https://doi.org/10.1016/j.biocon.2012.06.029
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: https://doi.org/10.1111/faf.12093
Da-Rocha J M, Nøstbakken L, Pérez M. 2014. Pulse fishing and stock uncertainty. Environmental and Resource Economics, 59(2): 257–274, doi: https://doi.org/10.1007/s10640-013-9727-y
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: https://doi.org/10.1111/faf.12165
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: https://doi.org/10.1111/j.1467-8373.2004.00247.x
Fogarty M J. 2014. The art of ecosystem-based fishery management. Canadian Journal of Fisheries and Aquatic Sciences, 71(3): 479–490, doi: https://doi.org/10.1139/cjfas-2013-0203
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: https://doi.org/10.1093/icesjms/fsx056
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: https://doi.org/10.1016/j.icesjms.2004.12.012
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: https://doi.org/10.1111/j.1467-2979.2010.00371.x
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: https://doi.org/10.1016/j.ecolmodel.2016.09.011
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: https://doi.org/10.1016/j.jmarsys.2015.10.014
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: https://doi.org/10.1016/j.ecolmodel.2016.08.008
Hamel P, Bryant B P. 2017. Uncertainty assessment in ecosystem services analyses: seven challenges and practical responses. Ecosystem Services, 24: 1–15, doi: https://doi.org/10.1016/j.ecoser.2016.12.008
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: https://doi.org/10.1016/j.ecolmodel.2017.05.024
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: https://doi.org/10.1007/s00343-015-4242-3
Hilborn R. 2011. Future directions in ecosystem based fisheries management: a personal perspective. Fisheries Research, 108(2–3): 235–239
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: https://doi.org/10.1890/14-1216.1
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: https://doi.org/10.3354/meps08078
Jørgensen C, Enberg K, Dunlop E S, et al. 2007. Ecology: managing evolving fish stocks. Science, 318(5854): 1247–1248, doi: https://doi.org/10.1126/science.1148089
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: https://doi.org/10.1139/cjfas-2017-0091
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: https://doi.org/10.1016/j.ecolmodel.2014.04.002
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: https://doi.org/10.1016/j.pocean.2012.03.008
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: https://doi.org/10.1016/j.dsr2.2015.08.002
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: https://doi.org/10.1016/j.icesjms.2005.04.005
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: https://doi.org/10.1098/rstb.2004.1573
Patrick W S, Link J S. 2015. Myths that continue to impede progress in ecosystem-based fisheries management. Fisheries, 40(4): 155–160, doi: https://doi.org/10.1080/03632415.2015.1024308
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: https://doi.org/10.1111/J.1467-2979.2011.00443.x
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: https://doi.org/10.1016/j.fishres.2015.07.027
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: https://doi.org/10.1016/j.ecolind.2008.12.007
Shen Gongming, Heino M. 2014. An overview of marine fisheries management in China. Marine Policy, 44: 265–272, doi: https://doi.org/10.1016/j.marpol.2013.09.012
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: https://doi.org/10.1007/s11160-012-9252-z
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: https://doi.org/10.1016/S0990-7440(01)01106-8
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: https://doi.org/10.1139/f03-154
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: https://doi.org/10.1016/j.icesjms.2005.01.004
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: https://doi.org/10.1093/icesjms/fsp294
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: https://doi.org/10.1016/j.ecolmodel.2009.08.016
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: https://doi.org/10.1139/f06-003
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: https://doi.org/10.1111/j.1467-2979.2011.00430.x
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: https://doi.org/10.1051/alr:2008042
Wang Zhongyuan. 2008. The primary researching about Effectiveness of fishing ban in summer in our country (in Chinese) [dissertation]. Qingdao: Ocean University of China
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: https://doi.org/10.1016/j.ecolmodel.2015.06.011
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: https://doi.org/10.4319/lo.2012.57.6.1877
Weeratunge N, Béné C, Siriwardane R, et al. 2014. Small-scale fisheries through the wellbeing lens. Fish and Fisheries, 15(2): 255–279, doi: https://doi.org/10.1111/faf.12016
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: https://doi.org/10.3354/meps310139
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: https://doi.org/10.1016/j.ecolmodel.2017.06.010
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: https://doi.org/10.1093/icesjms/fsv086
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
Acknowledgements
The computer simulation, data analysis, and paper writing was primarily done in the Chen Lab at the University of Maine, and supported by the China Scholarship Council, Ocean University of China, and University of Maine.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: The Fundamental Research Funds for the Central Universities under contract Nos 201512002 and 201612002.
Rights and permissions
About this article
Cite this article
Xing, L., Chen, Y., Zhang, C. et al. Evaluating impacts of pulse fishing on the effectiveness of seasonal closure. Acta Oceanol. Sin. 39, 89–99 (2020). https://doi.org/10.1007/s13131-020-1536-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13131-020-1536-x