The Australian Phytoplankton Database (1844 - 2016) - abundance and biovolume (SUPERSEDED BY ONGOING COLLECTION)

There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,665,221 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://imos.aodn.org.au/), allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels. This is a static snapshot of the database as at March 2016. To access subsequent additions in a dynamic database, please refer to the following metadata record https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/75f4f1fc-bee3-4498-ab71-aa1ab29ab2c0

自20世纪中期以来，澳大利亚各地已收集多份独立的浮游植物数据集，但其中绝大多数未向科研社区开放。我们通过检索档案库、联系研究人员、扫描一手文献与灰色文献，整合了1844年至今澳大利亚海域共计3665221条海洋浮游植物物种记录。其中多数是为解答本地研究问题而采集的小型数据集，但整合后可提供逾170年的澳大利亚海域浮游植物群落观测数据。我们已统一所有数据的单位与分类标准，剔除明显有误的记录，并纳入全部元数据。本数据集已提交至澳大利亚海洋数据网络（Australian Ocean Data Network, AODN，http://imos.aodn.org.au/），实现公众可访问。澳大利亚浮游植物数据库将对全球变化研究极具价值，因其可用于分析气候变化与富营养化的生态指标（如分布变化、硅藻与甲藻的比值等）。此外，将丰度记录标准化转换为生物量的处理方式，可为海洋低营养级生态系统模型的初始化与验证提供可量化的建模数据。本文件为该数据库截至2016年3月的静态快照。若需获取动态数据库中的后续新增数据，请参阅以下元数据记录：https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/75f4f1fc-bee3-4498-ab71-aa1ab29ab2c0