Warwick-Evans V, Fielding S, Reiss C S, Watters G M, Trathan P N
British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET UK.
Antarctic Ecosystem Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 8901 La Jolla Shores Drive, La Jolla, CA 92037-1508 USA.
Polar Biol. 2022;45(5):857-871. doi: 10.1007/s00300-022-03039-y. Epub 2022 Apr 15.
This study was performed to aid the management of the fishery for Antarctic krill . Krill are an important component of the Antarctic marine ecosystem, providing a key food source for many marine predators. Additionally, krill are the target of the largest commercial fishery in the Southern Ocean, for which annual catches have been increasing and concentrating in recent years. The krill fishery is managed by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR), which has endorsed a new management framework that requires information about the spatial distribution and biomass of krill. Here, we use krill density estimates from acoustic surveys and a GAMM framework to model habitat properties associated with high krill biomass during summer and winter in the northern Antarctic Peninsula region, an area important to the commercial fishery. Our models show elevated krill density associated with the shelf break, increased sea surface temperature, moderate chlorophyll-a concentration and increased salinity. During winter, our models show associations with shallow waters (< 1500 m) with low sea-ice concentration, medium sea-level anomaly and medium current speed. Our models predict temporal averages of the distribution and density of krill, which can be used to aid CCAMLR's revised ecosystem approach to fisheries management. Our models have the potential to help in the spatial and temporal design of future acoustic surveys that would preclude the need for modelled extrapolations. We highlight that the ecosystem approach to fisheries management of krill critically depends upon such field observations at relevant spatial and temporal scales.
The online version contains supplementary material available at 10.1007/s00300-022-03039-y.
本研究旨在协助南极磷虾渔业的管理。磷虾是南极海洋生态系统的重要组成部分，为许多海洋捕食者提供关键食物来源。此外，磷虾是南大洋最大商业渔业的捕捞对象，近年来其年捕捞量不断增加且集中在特定区域。磷虾渔业由南极海洋生物资源养护委员会（CCAMLR）管理，该委员会认可了一个新的管理框架，该框架需要有关磷虾空间分布和生物量的信息。在此，我们利用声学调查的磷虾密度估计值和广义相加混合模型（GAMM）框架，对南极半岛北部地区（对商业渔业很重要的一个区域）夏季和冬季与高磷虾生物量相关的栖息地属性进行建模。我们的模型显示，磷虾密度升高与陆架坡折、海表温度升高、叶绿素-a浓度适中以及盐度增加有关。在冬季，我们的模型显示与海冰浓度低、海平面异常中等和海流速度中等的浅水区域（<1500米）有关。我们的模型预测了磷虾分布和密度的时间平均值，可用于协助CCAMLR修订后的渔业生态系统管理方法。我们的模型有潜力帮助未来声学调查的时空设计，从而无需进行模型外推。我们强调，磷虾渔业生态系统管理方法严重依赖于在相关时空尺度上的此类实地观测。
在线版本包含可在10.1007/s00300-022-03039-y获取的补充材料。
