Extracting groundfish survey indices from the Ocean Biogeographic Information System (OBIS): an example from Fisheries and Oceans Canada
Extracting groundfish survey indices from the Ocean Biogeographic Information System (OBIS): an example from Fisheries and Oceans Canada
复制标题
从海洋生物地理信息系统 (OBIS) 中提取底栖鱼类调查指数：加拿大渔业和海洋部的示例
DOI：
--
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
P. Hurley
中科院分区：
文献类型：
--
作者：
D. Ricard;R. Branton;D. W. Clark;P. Hurley
richard， D., Branton， R. M., Clark， D. W.和Hurley， P. 2010。从海洋生物地理信息系统（OBIS）中提取底栖鱼调查指数：以加拿大渔业和海洋部为例。-海洋科学进展，21(3):638-645。自20世纪中期以来，各种国家和机构在世界不同地区进行了科学拖网调查。虽然这些数据是在科学上和统计上适当的情况下收集的，并且是独立于渔业的资料的重要来源，用于特定机构的种群评估，但它们的使用和传播往往仅限于进行调查的机构。近年来，海洋生物地理信息系统等互联网数据门户为更广泛地分发和使用海洋鱼类数据提供了一个平台。尽管这些数据越来越容易获得，但由于数据分析缺乏可重复性，它们在科学上的可接受性受到限制。我们提出了一种计算底栖鱼类种群指数时间序列的方法，该方法使用来自加拿大渔业和海洋部海事地区的公开可用拖网调查数据。讨论了与时间序列计算相关的潜在缺陷，并将适当的分层随机估计时间丰度趋势与选定的物种子集的其他方法进行了比较。此外，讨论了在类似采样设计下收集的数据集的方法的更广泛适用性，以及分析和结果的可重复性。
Ricard, D., Branton, R. M., Clark, D. W., and Hurley, P. 2010. Extracting groundfish survey indices from the Ocean Biogeographic Information System (OBIS): an example from Fisheries and Oceans Canada. - ICES Journal of Marine Science, 67: 638-645.Scientific trawl surveys have been conducted in different regions of the world and by a variety of countries and agencies since the mid-1900s. Although the data are collected in a scientifically and statistically appropriate context and represent an important source of fishery-independent information for agency-specific stock assessments, their use and dissemination has often been limited to the agencies conducting the surveys. In recent years, Internet data portals such as the Ocean Biogeographic Information System have provided an arena for the wider distribution and use of marine fish data. Despite the increased accessibility of such data, their scientific acceptability has been limited by a lack of reproducibility in data analyses. We present a methodology for the computation of time-series of groundfish stock indices using publicly available trawl survey data derived from the Canadian Department of Fisheries and Oceans Maritimes region. Potential pitfalls associated with the computation of time-series are discussed and proper stratified random estimates of temporal abundance trends are compared with other methods for a selected subset of species. Also, the broader applicability of the methods for datasets collected under similar sampling designs is discussed, along with the reproducibility of the analyses and results.