Center for Coastal Marine Sciences, California Polytechnic State University, San Luis Obispo, California, United States of America.
Biological Sciences Department, California Polytechnic State University, San Luis Obispo, California, United States of America.
PLoS One. 2024 Jun 6;19(6):e0298868. doi: 10.1371/journal.pone.0298868. eCollection 2024.
Commercial fisheries along the US West Coast are important components of local and regional economies. They use various fishing gear, target a high diversity of species, and are highly spatially heterogeneous, making it challenging to generate a synoptic picture of fisheries activity in the region. Still, understanding the spatial and temporal dynamics of US West Coast fisheries is critical to meet the US legal mandate to manage fisheries sustainably and to better coordinate activities among a growing number of users of ocean space, including offshore renewable energy, aquaculture, shipping, and interactions with habitats and key non-fishery species such as seabirds and marine mammals. We analyzed vessel tracking data from Vessel Monitoring System (VMS) from 2010 to 2017 to generate high-resolution spatio-temporal estimates of contemporary fishing effort across a wide range of commercial fisheries along the entire US West Coast. We identified over 247,000 fishing trips across the entire VMS data, covering over 25 different fisheries. We validated the spatial accuracy of our analyses using independent estimates of spatial groundfish fisheries effort generated through the NOAA's National Marine Fisheries Service Observer Program. Additionally, for commercial groundfish fisheries operating in federal waters in California, we combined the VMS data with landings and ex-vessel value data from California commercial fisheries landings receipts to generate highly resolved estimates of landings and ex-vessel value, matching over 38,000 fish tickets with VMS data that included 87% of the landings and 76% of the ex-vessel value for groundfish. We highlight fisheries-specific and spatially-resolved patterns of effort, landings, and ex-vessel value, a bimodal distribution of fishing effort with respect to depth, and variable and generally declining effort over eight years. The information generated by our study can help inform future sustainable spatial fisheries management and other activities in the marine environment including offshore renewable energy planning.
美国西海岸的商业渔业是地方和区域经济的重要组成部分。它们使用各种渔具,目标是高度多样化的物种,而且空间异质性很高,因此很难对该地区的渔业活动进行综合描述。尽管如此,了解美国西海岸渔业的时空动态对于满足美国可持续管理渔业的法律要求以及更好地协调海洋空间中越来越多使用者的活动至关重要,这些使用者包括海上可再生能源、水产养殖、航运以及与栖息地和关键非渔业物种(如海鸟和海洋哺乳动物)的相互作用。我们分析了 2010 年至 2017 年船舶自动识别系统(VMS)的船舶跟踪数据,以生成整个美国西海岸广泛商业渔业中当代渔业活动的高分辨率时空估算。我们在整个 VMS 数据中确定了超过 247000 次的捕鱼活动,涵盖了 25 种以上不同的渔业。我们使用通过美国国家海洋和大气管理局国家海洋渔业局观察员计划生成的独立的底层鱼类渔业活动空间估算来验证我们分析的空间准确性。此外,对于在加利福尼亚联邦水域作业的商业底层鱼类渔业,我们将 VMS 数据与加利福尼亚商业渔业上岸收据中的上岸量和岸外价值数据相结合,生成高度详细的上岸量和岸外价值估算,将超过 38000 个鱼类票与包括 87%的上岸量和 76%的岸外价值的 VMS 数据相匹配。我们强调了渔业特定的和空间分辨的努力、上岸量和岸外价值模式,以及与深度有关的捕捞努力双峰分布,以及八年来可变且普遍下降的努力。我们研究产生的信息可以帮助为未来的可持续空间渔业管理和海洋环境中的其他活动(包括海上可再生能源规划)提供信息。