Abstract

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.

Highlights

  • As impacts of global change on our oceans intensify, the value of long-term biological and oceanographic observations program for monitoring, understanding and predicting human impacts is increasingly recognised (Edwards et al, 2010; Hofman et al, 2013; Lynch et al, 2014)

  • Details of site locations, mooring design, sensors, calibration protocols, and water sampling regimes are described in Lynch et al (2014); details of the phytoplankton and zooplankton methodology and associated data are the focus of this paper

  • Kangaroo Island (KAI, South Australia), Esperance, and Ningaloo (ESP, NIN, Western Australia), Darwin (DAR, Northern Territory), Yongala and North Stradbroke Island (YON, NSI, Queensland) (Figure 1 and Table 1). These “new” National Reference Stations (NRS) were identified based on the principal ocean currents and associated marine environments of the Australian coastal region, the strong latitudinal gradients observed in plankton communities, the identified phytoplankton provinces, the location of National Marine Reserves and Integrated Marine Observing System (IMOS) research themes, and identified priority regions (Hayes et al, 2005)

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Summary

INTRODUCTION

As impacts of global change on our oceans intensify, the value of long-term biological and oceanographic observations program for monitoring, understanding and predicting human impacts is increasingly recognised (Edwards et al, 2010; Hofman et al, 2013; Lynch et al, 2014). Australia in particular has had few sustained (>10 years) biological monitoring program (Lynch et al, 2014), which capture the wide range of ecosystems present (tropical, subtropical, temperate, sub-Antarctic) and the influence of the different water masses on species diversity and abundance. Such datasets are critical for development of knowledge and understanding in a range of areas, including but not limited to: establishing baselines for assessment of regional and global change, testing of ecological theory, supporting marine management and research, and provision of data for ecosystem assessments of resource condition, biodiversity, climate change impacts and other anthropogenic drivers of change

Rationale for Australia’s National Reference Station Network
NATIONAL REFERENCE STATION BIOLOGICAL SAMPLE PROGRAM
Sampling Frequency
Phytoplankton Sampling and Counting
Zooplankton Sampling and Counting
Auxiliary Information
Zooplankton Size Spectra
Data Entry
Taxonomic Notes and Validity of Names
Identification
Analyst Training
Reference Collections and Species Reference Sheets
Counting and Identification Protocols
Partnering With Physical and Chemical Oceanographers for Sustained Funding
Human Capital
Partnering With Taxonomic Experts
Importance of a Relational Database
Streamlining Methods
Product Development to Extend Uptake and Improve Impact
Findings
Community Engagement
Full Text
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