Learning From the Study Fleet: Maintenance of a Large-Scale Reference Fleet for Northeast U.S. Fisheries
Learning From the Study Fleet: Maintenance of a Large-Scale Reference Fleet for Northeast U.S. Fisheries
复制标题
向研究船队学习：美国东北部渔业大型参考船队的维护
DOI：
10.3389/fmars.2022.869560
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Troy Sawyer
中科院分区：
文献类型：
--
作者：
Andrew W Jones;K. Burchard;Anna J. M. Mercer;J. Hoey;Michael D. Morin;Giovanni L. Gianesin;J.A. Wilson;Calvin R. Alexander;B. Lowman;Debra G. Duarte;D. Goethel;James Ford;J. Ruhle;Rodman Sykes;Troy Sawyer
商业渔业的航海日志数据是管理机制的重要组成部分，包括跟踪捕获量和在空间上分配捕获量。同时，航海日志可以提供一个独特的窗口，了解海洋渔业的生态和社会学状况，渔民与海洋物种和环境经常和广泛地相互作用。然而，传统的日志往往不够标准化（当个人日志时），或者缺乏充分了解渔业生态系统所需的细节（当规范性文件时）。由东北渔业科学中心合作研究处运营的“研究船队”项目旨在通过让渔业成员利用电子日志收集高分辨率的渔获量、努力量和环境数据来解决这些不足。自成立以来，研究船队已经从一个专注于收集新英格兰多物种底栖鱼渔业详细捕捞信息的小项目扩展到一个范围更广的项目，涵盖了从北卡罗来纳州到缅因州的各种渔业、齿轮和环境参数。多年来，在招募和支持行业合作伙伴、管理数据、不断发展的技术规范、以及与分析和应用自我报告渔业数据相关的挑战。在此，我们描述了该计划的现状，总结了2007-2020年“研究舰队”计划的运作和成果，并着眼于该方法在其他地区的成功、挑战和适用性。我们建议其他参考船队计划，以及其他发展中渔业相关的数据收集（例如，电子监测计划），为每个数据收集制定详细的路线图，以保持参与者作为合作者的参与，针对特定的渔业，以防止资源过于紧张，并尽早与数据用户合作。此外，我们建议项目投资于个体渔民的长期参与，仔细权衡参与监管报告的利弊，并提前规划数据产品和应用，以确保采样方案和数据粒度满足种群评估、生态系统和海洋学科学家的需求。
Logbook data from commercial fisheries are a vital component in the machinery of management, including tracking the volume of catches and allocating catch spatially. At the same time, logbooks can provide a unique window into the ecological and sociological conditions in marine fisheries, where fishermen interact with marine species and environments frequently and broadly. Traditional logbooks, however, often are not sufficiently standardized (when personal logs), or lack the detail (when regulatory documents) required to adequately understand fisheries ecosystems. The Study Fleet program, operated by the Northeast Fisheries Science Center’s Cooperative Research Branch, was developed to address these shortfalls by engaging members of the fishing industry in collecting high-resolution catch, effort, and environmental data using electronic logbooks. Since its inception, the Study Fleet has expanded from a small project focused on collecting detailed catch information from the New England multispecies groundfish fishery to a program with a wider scope encompassing a variety of fisheries, gears, and environmental parameters from North Carolina to Maine U.S. Over the years, a number of lessons have been learned about recruiting and supporting industry partners, managing the data, evolving technical specifications, and the challenges associated with analyzing and applying self-reported fisheries data. Here we describe the current state of the program and provide summaries of the Study Fleet program operations and outcomes from 2007-2020, with an eye towards successes, challenges, and applicability of the approach in other regions. We suggest other reference fleet programs, as well as other developing fishery dependent data collections (e.g., electronic monitoring programs), develop detailed roadmaps for each data collection to keep participants engaged as collaborators, target specific fisheries to keep resources from being stretched too thin, and partner with data users early. Additionally, we suggest programs invest in the long-term participation of individual fishermen, carefully weigh the pros and cons of involvement in regulatory reporting, and plan data products and applications well in advance to ensure that the sampling scheme and granularity of the data meet the needs of stock assessment, ecosystem, and oceanographic scientists.
影响因子：
3.7
作者：
Gawarkiewicz, Glen;Chen, Ke;Han, Lu
通讯作者：
Han, Lu