Construction of individual-based ecological model of early life history of winter-spring cohort of neon flying squid Ommastrephes bartramii in the Northwest Pacific Ocean
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摘要: 为了对西北太平洋柔鱼冬春生群生活史早期的生长、死亡、输运和分布等进行研究,将其生长、死亡等早期生物过程进行参数化,利用物理模型(FVCOM-Global)模拟生成北太平洋(10°~60°N,120°E~110°W)三维物理场,采用拉格朗日质点追踪的方法将物理模型和生物模型(基于个体模型)耦合,构建了基于个体的西北太平洋柔鱼冬春生群生活史早期生态模型,并用此模型对1997–2010年冬春生群的输运分布进行数值模拟。模拟结果表明:在一定温度范围内,越靠近最适水温,冬春生群的生长速度越快,当日龄为38 d时,胴长可达到11.76 mm,之后由指数生长逐渐变为线性生长;1997–2010年模拟补充量有年际的波动,在考虑冬春生群亲体量不同的前提下得到的实际补充量最多和最少的年份分别是1999年和2009年;冬春生群在模拟阶段主要位于产卵场内,在25°N以南主要向西部输运,25°N以北逐渐呈向北和向东北方向输运的趋势,尤其在输运后期受强流的影响较大;在垂直方向上,100 m水深以内的仔鱼占比将近一半。本研究能为西北太平洋柔鱼冬春生群的生态动力学深入研究奠定基础。Abstract: In order to study the growth, death, transport and distribution of early life history of winter-spring cohort of neon flying squid Ommastrephes bartramii in the Northwest Pacific Ocean, parameterized early biological processes, such as growth and death. Used the physical model (FVCOM-Global) to simulate and generate three-dimensional physical field of the North Pacific Ocean (10°−60°N, 120°E−110°W), and adopted the Lagrangian particle tracking method to couple the physical model and the biological model (individual-based model), and constructed an individual-based ecological model of early life history of winter-spring cohort of O. bartramii in the Northwest Pacific Ocean, and used this model to numerically simulate the transport distribution of winter-spring cohort from 1997 to 2010. The simulation results showed that within a certain temperature range, the closer to the optimum water temperature, the faster the growth rate of winter-spring cohort. When the age was 38 days, the mantle length could reach 11.76 millimeters, and then gradually changed from exponential growth to linear growth. The simulative recruitment had interannual fluctuation from 1997 to 2010. Considering the different number of winter-spring cohort parents, the years with the most and the least actual recruitment were 1999 and 2009, respectively. In the simulation stage, the winter-spring cohort was mainly located in the spawning ground, transported to the west in the south of 25°N, and gradually transported to the north and northeast in the north of 25°N, especially affected by the strong current in the later period of transport. In the vertical direction, the larvae within 100 meters water depth accounted for nearly half. This study can lay a foundation for further study of ecological dynamics of winter-spring cohort of O. bartramii in the Northwest Pacific Ocean.
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表 1 补充量和渔获量
Tab. 1 Recruitment and catch
年份 模拟补充量/
(108个)渔获量/t 系数 实际补充量/
(108个)1997 1.29 101 839 1.06 1.37 1998 2.07 117 000 1.22 2.53 1999 4 132 000 1.37 5.48 2000 2.36 124 204 1.29 3.04 2001 1.51 80 873 0.84 1.27 2002 0.835 84 487 0.88 0.735 2003 0.873 82 949 0.86 0.751 2004 1.41 106 532.2 1.11 1.57 2005 3.73 98 372 1.02 3.8 2006 1.43 108 097.1 1.12 1.6 2007 1.76 113 117.6 1.18 2.08 2008 2.14 106 018.9 1.10 2.35 2009 1.77 36 763.7 0.38 0.673 2010 2.47 55 350.7 0.58 1.43 表 2 输运到四周最远的柔鱼相对于产卵场的距离
Tab. 2 The distance to spawning ground of the farthest neon flying squid Ommastrephes bartramii transported to the surrounding waters
年份 向北输运
的距离/km向南输运
的距离/km向西输运
的距离/km向东输运
的距离/km1997 388.50 234.21 366.89 387.57 1998 199.80 333.00 435.44 404.81 1999 902.43 401.82 466.48 192.41 2000 226.44 258.63 372.20 181.22 2001 730.38 279.72 488.65 452.75 2002 346.32 341.88 596.73 343.04 2003 222.00 347.43 363.39 293.87 2004 623.82 185.37 328.68 369.24 2005 342.99 337.44 302.35 550.79 2006 132.09 331.89 298.11 240.32 2007 136.53 293.04 365.90 269.21 2008 608.28 422.91 197.37 173.15 2009 142.08 255.30 487.30 297.70 2010 193.14 122.10 483.08 405.86 表 3 整个模拟阶段内冬春生群分布在不同水深处的比例(%)
Tab. 3 The proportion of winter-spring cohort distributed in different water depths during the whole simulation stage(%)
水深/m 1997年 1998年 1999年 2000年 2001年 2002年 2003年 2004年 2005年 2006年 2007年 2008年 2009年 2010年 0~100 44.54 50.01 32.18 46.11 56.59 49.88 48.42 49.62 43.00 53.71 51.79 45.46 47.89 50.51 100~200 27.58 25.96 18.95 28.50 22.86 27.94 27.64 23.56 28.67 23.20 25.89 26.95 25.93 24.54 200~300 10.85 8.46 9.68 9.00 6.18 7.80 8.54 7.88 8.12 6.82 7.00 8.03 8.16 8.11 300~400 4.03 2.52 5.93 3.22 2.54 2.96 3.16 3.73 3.42 3.44 2.69 3.70 2.77 3.24 400~500 2.21 1.40 3.80 1.81 1.58 1.81 1.79 1.91 2.15 2.24 1.78 2.43 1.87 1.74 500~600 1.48 1.17 3.39 1.39 1.38 1.07 1.51 1.57 1.82 1.76 1.46 1.72 1.71 1.25 600~700 1.19 1.01 2.72 1.24 1.14 0.88 1.31 1.05 1.89 0.91 1.38 1.60 1.39 1.22 700~1 500 4.67 5.55 10.74 5.91 4.73 5.39 5.07 5.36 7.35 4.16 5.51 6.26 6.96 6.11 >1 500 3.45 3.92 12.61 2.82 3.00 2.27 2.56 5.32 3.58 3.76 2.50 3.85 3.32 3.28 -
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