A database of marine phytoplankton abundance, biomass and species composition in Australian waters

Author:

Davies Claire H.,Coughlan Alex,Hallegraeff Gustaaf,Ajani Penelope,Armbrecht Linda,Atkins Natalia,Bonham Prudence,Brett Steve,Brinkman Richard,Burford Michele,Clementson Lesley,Coad Peter,Coman Frank,Davies Diana,Dela-Cruz Jocelyn,Devlin Michelle,Edgar Steven,Eriksen Ruth,Furnas Miles,Hassler Christel,Hill David,Holmes Michael,Ingleton Tim,Jameson Ian,Leterme Sophie C.,Lønborg Christian,McLaughlin James,McEnnulty Felicity,McKinnon A. David,Miller Margaret,Murray Shauna,Nayar Sasi,Patten Renee,Pausina Sarah A.,Pritchard Tim,Proctor Roger,Purcell-Meyerink Diane,Raes Eric,Rissik David,Ruszczyk Jason,Slotwinski Anita,Swadling Kerrie M.,Tattersall Katherine,Thompson Peter,Thomson Paul,Tonks Mark,Trull Thomas W.,Uribe-Palomino Julian,Waite Anya M.,Yauwenas Rouna,Zammit Anthony,Richardson Anthony J.

Abstract

Abstract 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 3,621,847 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://portal.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.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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