气候变化对东北大西洋渔获物组成、多样性和营养级的影响

陈爽; 陈新军

doi:10.3969/j.issn.0253-4193.2020.10.010

气候变化对东北大西洋渔获物组成、多样性和营养级的影响

doi: 10.3969/j.issn.0253-4193.2020.10.010

陈爽¹,
陈新军^{1, 2, 3, 4, 5, ,}

1.
上海海洋大学海洋科学学院，上海 201306
2.
青岛海洋科学与技术试点国家实验室海洋渔业科学与食物产出过程功能实验室，山东青岛 266237
3.
农业农村部大洋渔业开发重点实验室，上海 201306
4.
国家远洋渔业工程技术研究中心，上海 201306
5.
大洋渔业资源可持续开发教育部重点实验室，上海 201306

基金项目: 国家自然科学基金项目（NSFC41876141）；海洋二号卫星地面应用系统项目（HY2A-HT-YWY-006）。

详细信息

作者简介:
陈爽(1993-)，男，江苏省南通市人，主要从事渔业资源研究。 E-mail：1076482889@qq.com

通讯作者:
陈新军(1967-)，教授，研究方向为渔业资源。 E-mail：xjchen@shou.edu.cn

中图分类号: P714⁺.5；S932.4
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- 文章访问数: 154
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- 被引次数: 0
出版历程
- 收稿日期: 2018-10-20
- 修回日期: 2019-01-02
- 网络出版日期: 2020-11-13
- 刊出日期: 2020-10-25

Effects of climate change on catch composition, diversity of catch and mean trophic level in the Northeast Atlantic Ocean

Chen Shuang¹,
Chen Xinjun^{1, 2, 3, 4, 5
, ,}

1.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2.
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
3.
Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China
4.
National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China
5.
Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China

摘要

摘要: 东北大西洋是世界上重要的捕捞海域，气候变化对该海域捕捞产生了重要的影响。本文基于联合国粮农组织所提供的1982−2016年东北大西洋渔获产量数据，对该海域渔获物组成、多样性、平均营养级及主成分变化特征进行时间序列上的分析，并结合东北大西洋海域气候、环境因子，应用广义可加模型探究渔获物组成与气候变化之间的关系。结果显示：渔获物多样性的变化总体上呈下降趋势，2002−2010年间处于较低水平；平均营养级在2002年之前呈平缓下降的趋势，2002年之后开始波动上升，相关性分析表明这两个指标与海域环境因子的变化较为相关。对渔获物组成进行主成分分析显示，第一主成份变化的方差解释率达到35.3%，且与海域气候、环境因素有较高的相关性，第一主成分变化能够较好地表征气候影响下渔获物组成变化的情况。广义可加模型分析结果显示，渔获物组成变化的影响因素按解释率由高到低分别为：海表温度、海平面高度、盐度、海冰和北大西洋涛动指数。该研究有助于认识气候变化对海洋渔业资源及其结构组成的影响。
- 东北大西洋 /
- 气候变化 /
- 渔获物组成 /
- 渔获多样性 /
- 营养级
Abstract: Global climate change has a profound impact on the world fisheries. Recently, the composition of catch in Northeast Atlantic Ocean has changed significantly. Based on the catch data in the Northeast Atlantic Ocean from 1982 to 2016 provided by the United Nations Food and Agricuture Organization, the diversity of catch, mean trophic level and the variation of principal component were analyzed in time series. Finally, combined with climate and environmental factors (sea surface temperature, SST; sea surface salinity, SSS; sea surface height, SSH; Sea Ice Concentration, SIC; North Atlantic Oscillation, NAO; Arctic Oscillation, AO; Atlantic Multidecadal Oscillation, AMO) in the Northeast Atlantic Ocean, the relationship between catches composition and climate change was explored by generalized additive model (GAM). The results showed that the diversity generally presented a declining trend, it was at a relatively low level during 2002 to 2010. The mean trophic level decreased slowly before 2002, then began to rise sharply. The correlation analysis showed that the changes of these two indicators were related to the environmental factors. The principal component analysis of catch composition showed that the variance of the first principal component was 35.3%, and it also has a close relationship with climatic and environmental factors, which could characterize the change of catch structure under the influence of climate. The results of GAM analysis showed that the orders of the contribution to structure change of catches were in sequence of SST, SSH, SSS, SIC and NAO.
- Northeast Atlantic Ocean /
- climate change /
- catch composition /
- diversity of catch /
- mean trophic level

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图 1 1982−2016年多样性指数和平均营养级变化

Fig. 1 The variations of diversity index and mean trophic level during 1982 to 2016

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图 2 1982−2016年渔获物组成主成分得分年际变化

Fig. 2 The variations of the principal component scores for the catch composition during 1982 to 2016

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图 3 1982−2016年东北大西洋气候、环境因素主成分得分年际变化

Fig. 3 The variations of the principal component scores for the climatic and environmental factors during 1982 to 2016

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图 4 气候、环境因素对渔获物组成PC1的影响

Fig. 4 Effects of climatic and environmental factors on the first principal component scores of catch composition (PC1)

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表 1 渔获物组成第1和第2主成分载荷值

Tab. 1 Loadings on the first and second principal components from the analysis of catch composition

种类	拉丁学名	主成分载荷值
种类	拉丁学名	PC1	PC2
大西洋鲱	Clupea harengus	−0.733	−0.223
大西洋鳕	Gadus morhua	0.236	0.811
毛鳞鱼	Mallotus villosus	0.671	−0.123
蓝鳕	Micromesistius poutassou	−0.537	−0.422
大西洋鲭	Scomber scombrus	−0.508	0.757
玉筋鱼属	Ammodytes spp	0.713	−0.192
绿青鳕	Pollachius virens	0.085	0.121
黍鲱	Sprattus sprattus	−0.816	−0.370
黑线鳕	Melanogrammus aeglefinus	−0.366	0.484
挪威长臀鳕	Trisopterus esmarkii	0.903	0.144
竹䇲鱼	Trachurus trachurus	0.315	−0.110
平鲉属	Sebastes spp	0.932	−0.034
沙丁鱼	Sardina pilchardus	0.812	−0.138
欧洲鲽	Pleuronectes platessa	0.764	0.521
牙鳕	Merlangius merlangus	0.913	0.181
欧洲无须鳕	Merluccius merluccius	−0.173	0.943
竹䇲鱼属	Trachurus spp	0.173	−0.164
魣鳕	Molva molva	0.634	0.583
格陵兰大比目鱼	Reinhardtius hippoglossoides	0.316	0.624
欧洲鳀	Engraulis encrasicolus	−0.225	0.242
长鳍金枪鱼	Thunnus alalunga	0.607	0.188
单鳍鳕	Brosme brosme	0.759	0.333
鳎	Solea solea	0.425	0.020
鳐科	Rajidae	0.703	−0.593
北极鳕	Boreogadus saida	0.086	−0.433
白斑角鲨	Squalus acanthias	0.976	0.066
鮟鱇属	Lophius spp	0.084	0.627
尖吻平鲉	Sebastes mentella	−0.842	−0.066
金平鲉	Sebastes marinus	−0.881	0.099
鮟鱇	Lophius piscatorius	−0.698	0.063
大西洋狼鱼	Anarhichas lupus	0.054	−0.133
水珍鱼属	Argentina spp	−0.749	0.102
圆鲭	Scomber colias	−0.657	0.666
条长臀鳕	Trisopterus luscus	0.690	0.093

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表 2 气候、环境因素第1和第2主成分载荷值

Tab. 2 Loadings on the first and second principal components from the analysis of the climatic and environmental factors

因素	主成分载荷值
因素	PC Ⅰ	PC Ⅱ
温度	0.935	0.284
盐度	0.610	0.632
海面高度	0.820	−0.086
海冰	−0.660	−0.437
北大西洋涛动指数	−0.580	0.744
大西洋年代际涛动指数	0.863	−0.183
北极涛动指数	−0.335	0.833

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表 3 气候、环境因素主成分变化与各类渔获物组成指数相关性系数

Tab. 3 The correlation coefficients of climatic and environmental factors principal component scores and different kinds of catch composition indexes

	多样性指数	平均营养级	PC1	PC2
PCI	−0.609**	0.623**	−0.783**	0.396
PCII	0.370	−0.225	0.382*	0.148
注：表示p<0.05下相关性显著，*表示p<0.01下相关性极显著。

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表 4 渔获物组成PC1与各气候、环境因素的GAM模型拟合

Tab. 4 GAM models fitted to the first principal component scores of catch composition (PC1) and climatic and environmental factors

模型因子	P值	F值	累计解释偏差/%	可解释偏差/%	AIC值
+水温	2.12×10⁻²	6.05	74.8	74.8	59.53
+盐度	1.46×10⁻⁴	9.27	81.2	6.4	59.48
+海面高度	7.10×10⁻⁵	22.08	89.2	8.0	42.65
+海冰	1.73×10⁻⁴	19.15	92.3	3.1	24.20
+北大西洋涛动	3.82×10⁻¹	1.14	94.3	2.0	16.84
+大西洋年代际涛动	6.83×10⁻¹	0.17	94.4	0.1	18.82
+北极涛动	4.44×10⁻¹	0.60	94.6	0.2	19.31

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参考文献(39)

[1]	Brander K M. Global fish production and climate change[J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(50): 19709−19714.
[2]	Pörtner H O, Knust R. Climate change affects marine fishes through the oxygen limitation of thermal tolerance[J]. Science, 2007, 315(5808): 95−97.
[3]	Cheung W W L, Lam V W Y, Sarmiento J L, et al. Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change[J]. Global Change Biology, 2010, 16(1): 24−35.
[4]	Beaugrand G. Marine Biodiversity, Climatic Variability and Global Change[M]. New York: Routledge, 2014: 486.
[5]	Pauly D, Watson R. Background and interpretation of the ‘Marine Trophic Index’ as a measure of biodiversity[J]. Philosophical Transactions of the Royal Society B: Biological Sciences, 2005, 360(1454): 415−423.
[6]	余为, 陈新军, 易倩. 不同气候模态下西北太平洋柔鱼渔场环境特征分析[J]. 水产学报, 2017, 41(4): 525−534. Yu Wei, Chen Xinjun, Yi Qian. Analysis of variations in the environmental conditions on the fishing ground of neon flying squid (Ommastrephes bartramii) in the Northwestern Pacific Ocean under different climate modes[J]. Journal of Fisheries of China, 2017, 41(4): 525−534.
[7]	汪金涛, 陈新军. 中西太平洋鲣鱼渔场的重心变化及其预测模型建立[J]. 中国海洋大学学报, 2013, 43(8): 44−48. Wang Jingtao, Chen Xinjun. Changes and prediction of the fishing ground gravity of skipjack (Katsuwonus pelamis) in western-central Pacific[J]. Periodical of Ocean University of China, 2013, 43(8): 44−48.
[8]	IPCC, 2014. Climate Change 2014: Impact, Adaptation, and Vulnerability[R]. Cambridge: Cambridge University Press, 2014.
[9]	Sirabella P, Giuliani A, Colosimo A, et al. Breaking down the climate effects on cod recruitment by principal component analysis and canonical correlation[J]. Marine Ecology Progress Series, 2001, 216: 213−222.
[10]	Drinkwater K F. The response of Atlantic cod (Gadus morhua) to future climate change[J]. ICES Journal of Marine Science, 2005, 62(7): 1327−1337.
[11]	Perry A L, Low P J, Ellis J R, et al. Climate change and distribution shifts in marine fishes[J]. Science, 2005, 308(5730): 1912−1915.
[12]	Rose G A. Capelin (Mallotus villosus) distribution and climate: a sea “canary” for marine ecosystem change[J]. ICES Journal of Marine Science, 2005, 62(7): 1524−1530.
[13]	Fossheim M, Johannesen E, Primicerio R, et al. Spatial variation and structural change of the Barents Sea fish community[R]. Torsharn, Faroe Island: International Council for the Exploration of the Sea, 2009, E: 21.
[14]	Stenevik E K, Sundby S. Impacts of climate change on commercial fish stocks in Norwegian waters[J]. Marine Policy, 2007, 31(1): 19−31.
[15]	Simpson E H. Measurement of diversity[J]. Nature, 1949, 163(4148): 688.
[16]	Pauly D, Christensen V, Guénette S, et al. Towards sustainability in world fisheries[J]. Nature, 2002, 418(6898): 689−695.
[17]	Pauly D, Palomares M L, Froese R, et al. Fishing down Canadian aquatic food webs[J]. Canadian Journal of Fisheries and Aquatic Sciences, 2001, 58(1): 51−62.
[18]	Tian Y J, Kidokoro H, Watanabe T. Long-term changes in the fish community structure from the Tsushima warm current region of the Japan/East Sea with an emphasis on the impacts of fishing and climate regime shift over the last four decades[J]. Progress in Oceanography, 2006, 68(2/4): 217−237.
[19]	Caddy J F, Garibaldi L. Apparent changes in the trophic composition of world marine harvests: the perspective from the FAO capture database[J]. Ocean & Coastal Management, 2000, 43(8/9): 615−655.
[20]	Pauly D, Christensen V V, Dalsgaard J, et al. Fishing down marine food webs[J]. Science, 1998, 279(5352): 860−863.
[21]	United Nations Food and Agricuture Organization. The State of World Fisheries and Aquaculture[R]. Rome: FAO, 2000.
[22]	Simmonds E J. Comparison of two periods of North Sea herring stock management: success, failure, and monetary value[J]. ICES Journal of Marine Science, 2007, 64(4): 686−692.
[23]	Horwood J, O'Brien C, Darby C. North Sea cod recovery?[J]. ICES Journal of Marine Science, 2006, 63(6): 961−968.
[24]	焦敏, 高郭平, 陈新军. 东北大西洋海洋捕捞渔获物营养级变化研究[J]. 海洋学报, 2016, 38(2): 48−63. Jiao Min, Gao Guoping, Chen Xinjun. Changes in trophic level of marine catches in the northeast Atlantic[J]. Haiyang Xuebao, 2016, 38(2): 48−63.
[25]	林楠, 苗振清, 卢占晖. 东海中部夏季鱼类群落结构及其多样性分析[J]. 广东海洋大学学报, 2009, 29(3): 42−47. doi: 10.3969/j.issn.1673-9159.2009.03.009 Lin Nan, Miao Zhenqing, Lu Zhanhui. Structure and diversity of fish communities in summer in the middle of the East China Sea[J]. Journal of Guangdong Ocean University, 2009, 29(3): 42−47. doi: 10.3969/j.issn.1673-9159.2009.03.009
[26]	宋普庆, 张静, 林龙山, 等. 台湾海峡游泳动物种类组成及其多样性[J]. 生物多样性, 2012, 20(1): 32−40. Song Puqing, Zhang Jing, Lin Longshan, et al. Nekton species composition and biodiversity in Taiwan Strait[J]. Biodiversity Science, 2012, 20(1): 32−40.
[27]	刘尊雷, 袁兴伟, 杨林林, 等. 气候变化对东海北部外海越冬场渔业群落格局的影响[J]. 应用生态学报, 2015, 26(3): 901−911. Liu Zunlei, Yuan Xingwei, Yang Linlin, et al. Effect of climate change on the fisheries community pattern in the overwintering ground of open waters of northern East China Sea[J]. Chinese Journal of Applied Ecology, 2015, 26(3): 901−911.
[28]	李励年, 林龙山, 缪圣赐. 一场由气候变化引发的渔业资源争夺战—欧洲“鲭鱼战争”持续升温[J]. 渔业信息与战略, 2013, 28(1): 75−80. doi: 10.3969/j.issn.1004-8340.2013.01.013 Li Linian, Lin Longshan, Miao Shengci. The dispute on fishery resources caused by climate change—mackerel war intensified in Europe[J]. Fishery Information & Strategy, 2013, 28(1): 75−80. doi: 10.3969/j.issn.1004-8340.2013.01.013
[29]	Pörtner H O. Climate variations and the physiological basis of temperature dependent biogeography: systemic to molecular hierarchy of thermal tolerance in animals[J]. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, 2002, 132(4): 739−761.
[30]	Pörtner H O. Climate change and temperature-dependent biogeography: oxygen limitation of thermal tolerance in animals[J]. Naturwissenschaften, 2001, 88(4): 137−146.
[31]	Hutchings J A, Myers R A. What can be learned from the collapse of a renewable resource? Atlantic Cod, Gadus morhua, of newfoundland and Labrador[J]. Canadian Journal of Fisheries and Aquatic Sciences, 1994, 51(9): 2126−2146.
[32]	Pepin P, Orr D C, Anderson J T. Time to hatch and larval size in relation to temperature and egg size in Atlantic cod (Gadus morhua)[J]. Canadian Journal of Fisheries and Aquatic Sciences, 1997, 54(S1): 2−10.
[33]	Drinkwater K F, Beaugrand G, Kaeriyama M, et al. On the processes linking climate to ecosystem changes[J]. Journal of Marine Systems, 2010, 79(3/4): 374−388.
[34]	Tian Y J, Kidokoro H, Fujino T. Interannual-decadal variability of demersal fish assemblages in the Tsushima Warm Current region of the Japan Sea: impacts of climate regime shifts and trawl fisheries with implications for ecosystem-based management[J]. Fisheries Research, 2011, 112(3): 140−153.
[35]	Overland J E, Spillane M C, Soreide N N. Integrated analysis of physical and biological pan-Arctic change[J]. Climatic Change, 2004, 63(3): 291−322.
[36]	Chavez F P, Ryan J, Lluch-Cota S E, et al. From anchovies to sardines and back: multidecadal change in the Pacific Ocean[J]. Science, 2003, 299(5604): 217−221.
[37]	Brunel T, Boucher J. Long-term trends in fish recruitment in the north-east Atlantic related to climate change[J]. Fisheries Oceanography, 2010, 16(4): 336−349.
[38]	Reid P C, Borges M D F, Svendsen E. A regime shift in the North Sea circa 1988 linked to changes in the North Sea horse mackerel fishery[J]. Fisheries Research, 2001, 50(1/2): 163−171.
[39]	Ottersen G, Stenseth N C. Atlantic climate governs oceanographic and ecological variability in the Barents Sea[J]. Limnology and Oceanography, 2001, 46(7): 1774−1780.