Australia’s Long-Term Plankton Observations: The Integrated Marine Observing System National Reference Station Network

The Integrated Marine Observing System National Reference Station network provides unprecedented open access to species-level phytoplankton and zooplankton data for researchers, managers and policy makers interested in resource condition, and detecting and understanding the magnitude and time-scales of change in our marine environment. We describe how to access spatial and temporal plankton data collected from the seven reference stations located around the Australian coastline, and a summary of the associated physical and chemical parameters measured that help in the interpretation of plankton data. Details on the rationale for site locations, sampling methodologies and laboratory analysis protocols are provided to assist with use of the data, and design of complimentary investigations. Information on taxonomic entities reported in the plankton database, and changes in taxonomic nomenclature and other issues that may affect data interpretation, are included. Data from more than 1250 plankton samples are freely available via the Australian Ocean Data Network portal and we encourage uptake and use of this continental-scale dataset, giving summaries of data currently available and some practical applications. The full methods manual that includes sampling and analysis protocols for the Integrated Marine Observing System Biogeochemical Operations can be found on-line.

[1]  A. Richardson,et al.  Simulated nutrient and plankton dynamics in the Great Barrier Reef (2011–2016) , 2019, Journal of Marine Systems.

[2]  A. Miskiewicz,et al.  A database of marine larval fish assemblages in Australian temperate and subtropical waters , 2018, Scientific Data.

[3]  Jason Koval,et al.  Systematic, continental scale temporal monitoring of marine pelagic microbiota by the Australian Marine Microbial Biodiversity Initiative , 2018, Scientific Data.

[4]  Ward Appeltans,et al.  Essential ocean variables for global sustained observations of biodiversity and ecosystem changes , 2018, Global change biology.

[5]  Xavier Hoenner,et al.  Continental-scale animal tracking reveals functional movement classes across marine taxa , 2018, Scientific Reports.

[6]  C. Hassler,et al.  A database of chlorophyll a in Australian waters , 2018, Scientific Data.

[7]  G. Hallegraeff,et al.  A database of marine phytoplankton abundance, biomass and species composition in Australian waters , 2017, Scientific Data.

[8]  Wayne Rochester,et al.  Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment , 2017, Front. Mar. Sci..

[9]  J. Blanchard,et al.  From Bacteria to Whales: Using Functional Size Spectra to Model Marine Ecosystems. , 2017, Trends in ecology & evolution.

[10]  G. Hallegraeff,et al.  Marine Phytoplankton Bioregions in Australian Seas , 2017 .

[11]  Plankton Databases A database of marine phytoplankton abundance, biomass and species composition in Australian waters , 2016 .

[12]  Ana Lara-Lopez,et al.  Australia’s Integrated Marine Observing System (IMOS): data impacts and lessons learned , 2016 .

[13]  Resolving variability of phytoplankton species composition and blooms in coastal ecosystems , 2015 .

[14]  Wayne Rochester,et al.  IMOS National Reference Stations: A Continental-Wide Physical, Chemical and Biological Coastal Observing System , 2014, PloS one.

[15]  S. Edgar,et al.  Over 75 years of zooplankton data from Australia , 2014 .

[16]  Robert J. W. Brewin,et al.  Plankton indicators and ocean observing systems: support to the marine ecosystem state assessment , 2014 .

[17]  A. P. Allen,et al.  A decadal decline in relative abundance and a shift in microphytoplankton composition at a long‐term coastal station off southeast Australia , 2014 .

[18]  L. Kapsenberg,et al.  Taking the Pulse of Marine Ecosystems: The Importance of Coupling Long-Term Physical and Biological Observations in the Context of Global Change Biology , 2013 .

[19]  G. Hallegraeff,et al.  Climate-driven range expansion of the red-tide dinoflagellate Noctiluca scintillans into the Southern Ocean , 2012 .

[20]  Lars Stemmann,et al.  Assessing biases in computing size spectra of automatically classified zooplankton from imaging systems: A case study with the ZooScan integrated system , 2012 .

[21]  Viviana Piermattei,et al.  New Technological Developments for Oceanographic Observations , 2012 .

[22]  G. Hosie,et al.  Climate change cascades: Shifts in oceanography, species' ranges and subtidal marine community dynamics in eastern Tasmania , 2011 .

[23]  Roger Proctor,et al.  The Australian Integrated Marine Observing System: delivering data streams to address national and international research priorities , 2010 .

[24]  Martin Edwards,et al.  Multi-decadal oceanic ecological datasets and their application in marine policy and management. , 2010, Trends in ecology & evolution.

[25]  Marc Picheral,et al.  Digital zooplankton image analysis using the ZooScan integrated system , 2010 .

[26]  P. Thompson,et al.  Long-term changes in temperate Australian coastal waters: implications for phytoplankton , 2009 .

[27]  A. Richardson,et al.  Chapter 6 Vulnerability of Great Barrier Reef plankton to climate change , 2007 .

[28]  Hans W. Paerl,et al.  PHYTOPLANKTON INDICATORS OF ECOLOGICAL CHANGE IN THE EUTROPHYING PAMLICO SOUND SYSTEM, NORTH CAROLINA , 2007 .

[29]  S. Chiba,et al.  Effects of decadal climate change on zooplankton over the last 50 years in the western subarctic North Pacific , 2006 .

[30]  H. Paerl,et al.  Long‐term temporal and spatial trends in phytoplankton biomass and class‐level taxonomic composition in the hydrologically variable Neuse‐Pamlico estuarine continuum, North Carolina, U.S.A. , 2006 .

[31]  J. Beardall,et al.  Microalgae under Global Environmental Change: Implications for Growth and Productivity, Populations and Trophic Flow , 2006 .

[32]  David W. Sims,et al.  Using continuous plankton recorder data , 2006 .

[33]  Barbara A. Adams-Vanharn,et al.  Evaluation of the current state of mechanistic aquatic biogeochemical modeling: citation analysis and future perspectives. , 2006, Environmental science & technology.

[34]  Grégory Beaugrand,et al.  Monitoring pelagic ecosystems using plankton indicators , 2005 .

[35]  B. Beanlands,et al.  The next generation of Optical Plankton Counter: the Laser-OPC , 2004 .

[36]  M. Edwards,et al.  Impact of climate change on marine pelagic phenology and trophic mismatch , 2004, Nature.

[37]  B. Thompson,et al.  The origins, development and conduct of WOCE , 2001 .

[38]  Helmut Hillebrand,et al.  BIOVOLUME CALCULATION FOR PELAGIC AND BENTHIC MICROALGAE , 1999 .

[39]  Edward J. Carpenter,et al.  Trichodesmium, a Globally Significant Marine Cyanobacterium , 1997 .

[40]  A. Heron A vertical free fall plankton net with no mouth obstructions , 1982 .

[41]  Gustaaf M. Hallegraeff,et al.  Seasonal study of phytoplankton pigments and species at a coastal station off Sydney: Importance of diatoms and the nanoplankton , 1981 .

[42]  E. Wood Studies in microbial ecology of the Australasian region , 1964 .

[43]  L. Edler,et al.  29 NOVEL AND NUISANCE PHYTOPLANKTON BLOOMS IN THE SEA : EVIDENCE FOR A GLOBAL EPIDEMIC , 2022 .