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

pmc: PMC4915276 , PMC5387918
handle: 10072/142615 , 2328/37095
AbstractThere 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.
- Alfred Wegener Institute for Polar and Marine Research Germany
- Macquarie University Australia
- Aarhus University Denmark
- James Cook University Australia
- Office of Environment and Heritage Australia
Statistics and Probability, Data Descriptor, Databases, Factual, Climate Change, Library and Information Sciences, 1710 Information Systems, Education, 1706 Computer Science Applications, Community ecology, Biomass, 2613 Statistics and Probability, Ecosystem, Marine biology, 020, Ecology not elsewhere classified, Statistics, Australia, Biodiversity, Eutrophication, Corrigenda, Computer Science Applications, 1804 Statistics, Phytoplankton, phytoplankton, Probability and Uncertainty, 3309 Library and Information Sciences, Information Systems, 3304 Education, ddc: ddc:550
Statistics and Probability, Data Descriptor, Databases, Factual, Climate Change, Library and Information Sciences, 1710 Information Systems, Education, 1706 Computer Science Applications, Community ecology, Biomass, 2613 Statistics and Probability, Ecosystem, Marine biology, 020, Ecology not elsewhere classified, Statistics, Australia, Biodiversity, Eutrophication, Corrigenda, Computer Science Applications, 1804 Statistics, Phytoplankton, phytoplankton, Probability and Uncertainty, 3309 Library and Information Sciences, Information Systems, 3304 Education, ddc: ddc:550
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