five

Survey : CIRO/05/1979 (part of CEFAS Historic surveys)

收藏
www.data.gov.uk2024-07-10 更新2025-03-22 收录
下载链接:
https://www.data.gov.uk/dataset/73dcc08c-33e8-42aa-a1ab-22fc70527503/survey-ciro-05-1979-part-of-cefas-historic-surveys
下载链接
链接失效反馈
官方服务:
资源简介:
This survey was undertaken by Cefas as part of the CEFAS Historic surveys; Station and biological data collected during research surveys carried out by Cefas (formerly Directorate of Fisheries) in seas around the UK, mostly in the North Sea, since 1902. The survey hauls are not laid out systematically as a grid, as in current International Bottom Trawl Surveys (IBTS) and are widely distributed over (especially) southern and central North Sea areas. Gears and protocols were not standardised throughout, due to the long term nature of the series. Surveys took place in each season. Data are lacking for the periods of both World Wars. In some periods (e.g. the early 1900s), all species caught were recorded, whereas in other periods (e.g. 1920s-30s), only the key commercial species (e.g., Plaice, Sole and Cod) were recorded systematically. Note that some surveys targeted particular species (notably Plaice). Survey took place between 09/05/1979 and 29/05/1979 on Cirolana Equipment used during this survey : - Hand Held Gear Handlines Gurdies with feathers - Otter Trawl 78ft Granton Liner, Rubber bobbins, Polyvalent doors - Otter Trawl Engels 1600 Polyvalent doors, Liner - Otter Trawl Semi Pelagic GOV NOP rig, Cirolana Spec. Survey operations were undertaken on 61 stations 80 different species were caught on this survey

此次调查由Cefas(前身为渔业局)发起,作为其历史调查计划的一部分。自1902年起,Cefas在英国周边海域(特别是北海)进行了多项研究调查,收集了站点和生物数据。与当前的国际底拖网调查(IBTS)不同,调查捕获物并非按网格系统布置,而是广泛分布于北海的南部和中部地区。由于该数据系列长期性的特点,工具和方法并未实现标准化。调查在各个季节均有所进行。两次世界大战期间的数据缺失。在某些时期(例如20世纪初),记录了所有捕获的物种,而在其他时期(例如1920年代至1930年代),仅系统地记录了关键的商业物种(例如比目鱼、鳎鱼和鲭鱼)。值得注意的是,某些调查针对特定物种(尤其是比目鱼)进行。1979年5月9日至5月29日,在Cirolana海域进行了调查。此次调查使用的设备包括手持工具、拖网、78英尺长的格兰顿衬垫拖网、橡胶轴承和多用途门、1600型Engels拖网、多用途门和半浮游GOV NOP装置。调查在61个站点进行,共捕获了80种不同的物种。
提供机构:
www.data.gov.uk
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作