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DEB-IBM for predicting climate change and anthropogenic impacts on population dynamics of hairtail Trichiurus lepturus in the East China Sea

文献类型： 外文期刊

作者： Yang, Tao 1 ; Han, Qingpeng 1 ; Gorfine, Harry 3 ; Shan, Xiujuan 1 ; Ren, Jeffrey S. 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, 106 Nanjing Rd, Qingdao 266071, Peoples R China

2.Pilot Natl Lab Marine Sci & Technol Qingdao, Funct Lab Marine Fisheries Sci & Food Prod Proc, 1 Wenhai Rd, Qingdao 266200, Peoples R China

3.Univ Melbourne, Sch Biosci, Parkville, Vic 3010, Australia

4.Natl Inst Water & Atmospher Res, 10 Kyle St,POB 8602, Christchurch 8440, New Zealand

关键词： population model; human pressure; fisheries; environment; DEB model

期刊名称：CONSERVATION PHYSIOLOGY （ 影响因子：3.252； 五年影响因子：3.785 ）

ISSN： 2051-1434

年卷期： 2022 年 10 卷 1 期

页码：

收录情况： SCI

摘要： The hairtail Trichiurus lepturus supports the largest fisheries in the East China Sea. The stock has fluctuated in the past few decades and this variation has been attributed to human pressures and climate change. To investigate energetics of individuals and population dynamics of the species in responses to environmental variations and fishing efforts, we have developed a DEB-IBM by coupling a dynamic energy budget (DEB) model to an individual-based model (IBM). The parameter estimation of DEB model shows an acceptable goodness of fit. The DEB-IBM was validated with histological data for a period of 38 years. High fishing pressure was largely responsible for the dramatic decline of the stock in middle 1980s. The stock recovered from early 1990s, which coincided with introduction of fishing moratorium on spawning stocks in inshore waters and substantial decrease of fishing efforts from large fisheries companies. In addition, the population average age showed a trend of slight decrease. The model successfully reproduced these observations of interannual variations in the population dynamics. The model was then implemented to simulate the effect of climate change on the population performance under greenhouse gas emission scenarios projected for 2100. It was also used to explore population responses to changing fishing mortalities. These scenario simulations have shown that the population biomass under SSP1-1.9, SSP2-4.5 and SSP5-8.5 would decline by 7.5%, 16.6% and 30.1%, respectively, in 2100. The model predicts that increasing fishing mortality by 10% will cause 5.3% decline of the population biomass, whereas decrease of fishing mortality by 10% will result in 6.8% increase of the biomass. The development of the DEB-IBM provides a predictive tool to inform management decisions for sustainable exploitation of the hairtail stock in the East China Sea.

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