• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

金枪鱼在变暖的海洋中的大规模分布。

Large-scale distribution of tuna species in a warming ocean.

机构信息

AZTI, Marine Research Division, Sukarrieta, Basque Country, Spain.

AZTI, Marine Research Division, Pasaia, Basque Country, Spain.

出版信息

Glob Chang Biol. 2019 Jun;25(6):2043-2060. doi: 10.1111/gcb.14630. Epub 2019 Apr 19.

DOI:10.1111/gcb.14630
PMID:30908786
Abstract

Tuna are globally distributed species of major commercial importance and some tuna species are a major source of protein in many countries. Tuna are characterized by dynamic distribution patterns that respond to climate variability and long-term change. Here, we investigated the effect of environmental conditions on the worldwide distribution and relative abundance of six tuna species between 1958 and 2004 and estimated the expected end-of-the-century changes based on a high-greenhouse gas concentration scenario (RCP8.5). We created species distribution models using a long-term Japanese longline fishery dataset and two-step generalized additive models. Over the historical period, suitable habitats shifted poleward for 20 out of 22 tuna stocks, based on their gravity centre (GC) and/or one of their distribution limits. On average, tuna habitat distribution limits have shifted poleward 6.5 km per decade in the northern hemisphere and 5.5 km per decade in the southern hemisphere. Larger tuna distribution shifts and changes in abundance are expected in the future, especially by the end-of-the-century (2080-2099). Temperate tunas (albacore, Atlantic bluefin, and southern bluefin) and the tropical bigeye tuna are expected to decline in the tropics and shift poleward. In contrast, skipjack and yellowfin tunas are projected to become more abundant in tropical areas as well as in most coastal countries' exclusive economic zones (EEZ). These results provide global information on the potential effects of climate change in tuna populations and can assist countries seeking to minimize these effects via adaptive management.

摘要

金枪鱼是分布广泛的物种,具有重要的商业价值,有些金枪鱼物种是许多国家蛋白质的主要来源。金枪鱼的分布模式具有动态特征,对气候变化和长期变化有响应。在这里,我们调查了环境条件对 1958 年至 2004 年间六种金枪鱼物种的全球分布和相对丰度的影响,并根据高温室气体浓度情景(RCP8.5)估计了本世纪末的预期变化。我们使用长期的日本延绳钓渔业数据集和两步广义加性模型创建了物种分布模型。在历史时期,根据其重心 (GC) 和/或分布极限之一,22 个金枪鱼种群中有 20 个的适宜栖息地向极地转移。平均而言,金枪鱼的栖息地分布极限在北半 2080-2099 年每十年向极地移动 6.5 公里,在南半球每十年向极地移动 5.5 公里。未来,特别是本世纪末,预计金枪鱼的分布变化和丰度变化会更大。温带金枪鱼(长鳍金枪鱼、大西洋蓝鳍金枪鱼和南方蓝鳍金枪鱼)和热带大眼金枪鱼预计将在热带地区减少,并向极地转移。相比之下,鲣鱼和黄鳍金枪鱼预计将在热带地区以及大多数沿海国家的专属经济区 (EEZ) 变得更加丰富。这些结果提供了有关气候变化对金枪鱼种群潜在影响的全球信息,并可以协助各国通过适应性管理来尽量减少这些影响。

相似文献

1
Large-scale distribution of tuna species in a warming ocean.金枪鱼在变暖的海洋中的大规模分布。
Glob Chang Biol. 2019 Jun;25(6):2043-2060. doi: 10.1111/gcb.14630. Epub 2019 Apr 19.
2
Projections of climate-driven changes in tuna vertical habitat based on species-specific differences in blood oxygen affinity.基于血液氧亲和力的物种特异性差异预测金枪鱼垂直栖息地的气候变化。
Glob Chang Biol. 2017 Oct;23(10):4019-4028. doi: 10.1111/gcb.13799. Epub 2017 Jul 21.
3
Projecting the impacts of climate change on skipjack tuna abundance and spatial distribution.预测气候变化对鲣鱼丰度和空间分布的影响。
Glob Chang Biol. 2014 Mar;20(3):742-53. doi: 10.1111/gcb.12460. Epub 2014 Jan 26.
4
Atlantic Multidecadal Oscillations drive the basin-scale distribution of Atlantic bluefin tuna.大西洋多年代际振荡驱动大西洋蓝鳍金枪鱼的盆地尺度分布。
Sci Adv. 2019 Jan 2;5(1):eaar6993. doi: 10.1126/sciadv.aar6993. eCollection 2019 Jan.
5
Changes in the distribution of atlantic bluefin tuna (Thunnus thynnus) in the Gulf of Maine 1979-2005.1979-2005 年缅因湾大西洋蓝鳍金枪鱼(Thunnus thynnus)分布的变化。
PLoS One. 2013 Sep 19;8(9):e75480. doi: 10.1371/journal.pone.0075480. eCollection 2013.
6
Comparative influence of ocean conditions on yellowfin and Atlantic bluefin tuna catch from longlines in the Gulf of Mexico.比较墨西哥湾长绳钓捕获的黄鳍金枪鱼和大西洋蓝鳍金枪鱼受海洋条件的影响。
PLoS One. 2010 May 28;5(5):e10756. doi: 10.1371/journal.pone.0010756.
7
Consequences of the historical demography on the global population structure of two highly migratory cosmopolitan marine fishes: the yellowfin tuna (Thunnus albacares) and the skipjack tuna (Katsuwonus pelamis).历史人口统计学对两种高度洄游的世界性海洋鱼类全球种群结构的影响:黄鳍金枪鱼(Thunnus albacares)和鲣鱼(Katsuwonus pelamis)。
BMC Evol Biol. 2005 Feb 22;5:19. doi: 10.1186/1471-2148-5-19.
8
Genetic diversity and historical demography of Atlantic bigeye tuna (Thunnus obesus).大西洋大眼金枪鱼(Thunnus obesus)的遗传多样性与历史种群动态
Mol Phylogenet Evol. 2006 May;39(2):404-16. doi: 10.1016/j.ympev.2005.07.022. Epub 2005 Sep 26.
9
Effects of decadal climate variability on spatiotemporal distribution of Indo-Pacific yellowfin tuna population.年代际气候变化对印度洋-太平洋黄鳍金枪鱼种群时空分布的影响。
Sci Rep. 2022 Aug 12;12(1):13715. doi: 10.1038/s41598-022-17882-w.
10
Polychlorinated biphenyls and organochlorine pesticides as intrinsic tracer tags of foraging grounds of bluefin tuna in the northwest Atlantic Ocean.多氯联苯和有机氯农药作为西北大西洋蓝鳍金枪鱼觅食地的内在示踪标记。
Mar Pollut Bull. 2016 Apr 15;105(1):265-76. doi: 10.1016/j.marpolbul.2016.02.016. Epub 2016 Feb 17.

引用本文的文献

1
Increasing Sea Surface Temperatures Driving Widespread Tropicalization in South Atlantic Pelagic Fisheries.海表温度上升推动南大西洋远洋渔业广泛热带化
Biology (Basel). 2025 Aug 13;14(8):1039. doi: 10.3390/biology14081039.
2
Exploring the Habitat Distribution of in the South China Sea Under Varying Spatial Resolutions: A Combined Approach Using Multiple Machine Learning and the MaxEnt Model.不同空间分辨率下南海[具体物种未给出]的栖息地分布探索:一种结合多种机器学习和最大熵模型的方法
Biology (Basel). 2025 Jun 24;14(7):753. doi: 10.3390/biology14070753.
3
The genome sequence of Atlantic Bluefin Tuna, (Linnaeus, 1758).
大西洋蓝鳍金枪鱼(林奈,1758年)的基因组序列。
Wellcome Open Res. 2025 Mar 27;10:163. doi: 10.12688/wellcomeopenres.23971.1. eCollection 2025.
4
Climate change impacts to foraging seascapes for a highly migratory top predator.气候变化对一种高度洄游的顶级捕食者的觅食海域产生影响。
Mov Ecol. 2025 May 9;13(1):33. doi: 10.1186/s40462-025-00558-1.
5
Spatial Change of Dominant Baltic Sea Demersal Fish Across Two Decades.二十年间波罗的海主要底栖鱼类的空间变化
Ecol Evol. 2025 Apr 21;15(4):e71309. doi: 10.1002/ece3.71309. eCollection 2025 Apr.
6
Thermal sensitivity of field metabolic rate predicts differential futures for bluefin tuna juveniles across the Atlantic Ocean.海洋环境代谢率的热敏感性预测了大西洋金枪鱼幼鱼的不同未来。
Nat Commun. 2023 Nov 27;14(1):7379. doi: 10.1038/s41467-023-41930-2.
7
Widespread habitat loss and redistribution of marine top predators in a changing ocean.广泛的海洋生境丧失和海洋顶级捕食者在变化的海洋中的重新分布。
Sci Adv. 2023 Aug 9;9(32):eadi2718. doi: 10.1126/sciadv.adi2718.
8
Long-term stability in the circumpolar foraging range of a Southern Ocean predator between the eras of whaling and rapid climate change.在捕鲸时代和快速气候变化时代之间,南大洋捕食者在环极觅食范围的长期稳定性。
Proc Natl Acad Sci U S A. 2023 Mar 7;120(10):e2214035120. doi: 10.1073/pnas.2214035120. Epub 2023 Feb 27.
9
Temporal change in functional rarity in marine fish assemblages.海洋鱼类群落功能稀有度的时间变化。
Proc Biol Sci. 2023 Feb 22;290(1993):20222273. doi: 10.1098/rspb.2022.2273.
10
Climate Change and Dispersal Ability Jointly Affects the Future Distribution of Crocodile Lizards.气候变化与扩散能力共同影响鳄蜥的未来分布。
Animals (Basel). 2022 Oct 11;12(20):2731. doi: 10.3390/ani12202731.