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. 2020 Sep 8;7:297. doi: 10.1038/s41597-020-00625-9

A database of zooplankton biomass in Australian marine waters

Felicity R McEnnulty 1,✉, Claire H Davies 1, Asia O Armstrong 13, Natalia Atkins 12, Frank Coman 2, Lesley Clementson 1, Steven Edgar 2, Ruth S Eriksen 1, Jason D Everett 2,7,8, J Anthony Koslow 14, Christian Lønborg 6,15, A David McKinnon 6, Margaret Miller 2, Todd D O’Brien 11, Sarah A Pausina 2,4, Julian Uribe-Palomino 2, Wayne Rochester 2, Peter C Rothlisberg 2, Anita Slotwinski 2, Joanna Strzelecki 3, Iain M Suthers 8,9, Kerrie M Swadling 5, Mark L Tonks 2, Paul D van Ruth 10, Jock W Young 1, Anthony J Richardson 2,7
PMCID: PMC7478976  PMID: 32901022

Abstract

Zooplankton biomass data have been collected in Australian waters since the 1930s, yet most datasets have been unavailable to the research community. We have searched archives, scanned the primary and grey literature, and contacted researchers, to collate 49187 records of marine zooplankton biomass from waters around Australia (0–60°S, 110–160°E). Many of these datasets are relatively small, but when combined, they provide >85 years of zooplankton biomass data for Australian waters from 1932 to the present. Data have been standardised and all available metadata included. We have lodged this dataset with the Australian Ocean Data Network, allowing full public access. The Australian Zooplankton Biomass Database will be valuable for global change studies, research assessing trophic linkages, and for initialising and assessing biogeochemical and ecosystem models of lower trophic levels.

Subject terms: Population dynamics, Zoology, Databases

Measurement(s) zooplankton biomass • organic material • planktonic material
Technology Type(s) digital curation
Factor Type(s) year of data collection
Sample Characteristic - Organism zooplankton
Sample Characteristic - Environment marine water body
Sample Characteristic - Location Australia
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Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12651425

Background & Summary

Zooplankton are the animal component of the plankton and are the primary link between phytoplankton and higher trophic levels. The term “plankton” is derived from the Greek word planktos meaning “to drift” and includes organisms capable of movement in water but unable to progress against currents. Zooplankton communities are highly diverse and almost all phyla are represented. They range from microzooplankton such as heterotrophic flagellates, foraminiferans and radiolarians, to metazoans such as crustaceans, chaetognaths, molluscs, cnidarians and chordates including salps and larval fish. Zooplankton are extremely abundant and one group, the copepods, may even outnumber insects in abundance1. The carrying capacity of marine systems – the biomass of exploited fish, squid and shellfish; the numbers of marine mammals, seabirds and sea turtles; and the diverse bottom-dwelling communities of fish and invertebrates– is influenced by the biomass of zooplankton. The Australian Zooplankton Biomass Database is focused on the meso- and macrozooplankton (0.2–20 mm and 2–20 cm, in size) traditionally sampled by devices that filter the plankton from the water directly at sea: towed nets (e.g. bongo nets and ring nets) and towed samplers (e.g. Continuous Plankton Recorder (CPR)). The majority of samples were collected by nets with mesh sizes 200–333 µm although meshes vary from 73–550 µm. More recently, optical devices such as the Optical Plankton Counter (OPC) and the Laser Optical Plankton Counter (LOPC) have been used to estimate zooplankton biomass and available data are also included.

Biomass is the most common metric used to measure the entire zooplankton community and can be measured in many ways and each with different units2–4. Zooplankton biomass can be calculated from the zooplankton weight (e.g. wet mass, dry mass or carbon mass), or zooplankton biovolume (e.g. displacement volume, settled volume). The biovolume- the volume of zooplankton (e.g. in mL) is converted to mass by assuming zooplankton are neutrally buoyant5 with a density of 1 g/cm3. When comparing biomass values, it is customary to standardise them to the volume of water filtered during the collection of the sample. To enable comparisons, this dataset also includes a conversion of the biomass values into carbon values using the standard units of µg Carbon per litre (µg C/L) which are equivalent to mg C/m3, with the exception of the optical generated data.

The Australian Zooplankton Biomass Database6 follows on from a series of datasets collated for the Australian marine region for zooplankton composition and abundance7, phytoplankton composition and abundance8 and chlorophyll a9, made freely available through the Australian Ocean Data Network (AODN) portal (https://portal.aodn.org.au/). Figure 1 is a flow diagram of the data acquisition and quality assurance and quality control processes used in collating the database.

Fig. 1.

Fig. 1

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Flow diagram showing process of data entry into biomass database.

Records collated here for zooplankton biomass largely cover the greater Australian region, including the Southern Ocean (Fig. 2). We compiled 39 datasets, containing 49187 records, from 1932 to the present. Of these, 11573 records are from net samples, 2256 from Continuous Plankton Recorder (CPR) samples and 35358 are from Optical Plankton Counter (OPC) and Laser OPC (LOPC) calculated biomass records. A metadata summary for the individual project data included in the dataset is shown in Online-only Table 1.

Fig. 2.

Fig. 2

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Sampling locations mapped by Project, see Online-only Table 1 for project details using project id.

Online-only Table 1.

Overview of the datasets in the database by project showing location, dates, biomass measurement method, sampling gear details, and number of records.

Project id Project name Sampling location Custodian Custodian afflilation Sampled years Depth range (m) Biomass measurement method Original biomass units Sampler method Net mesh size (µm) Tow direction Number of records Acknowledgement Reference number
P_2 Lihir effects of mining Papua New Guinea Anthony Richardson CSIRO 2006–2006 0–500 dry mass mg/m3 MIDOC 150 oblique 196 68
P_3 Ramu effects of mining Papua New Guinea Anthony Richardson CSIRO 2009–2009 50–250 dry mass mg/m3 Ring net 150 oblique 34 69
P_4 Darwin Harbour zooplankton Darwin, Northern Territory, Australia David Mckinnon AIMS 2002–2004 0–30 dry mass mg/m3 Ring net 73 vertical 56 70
P_5 Kimberley zooplankton (150 micron) Kimberley, Western Australia, Australia David Mckinnon AIMS 2011–2014 0–77 dry mass mg/m3 Bongo net 350 oblique 88 71
2011–2014 0–77 dry mass mg/m3 Bongo net 73 oblique 88
2011–2014 0–77 dry mass mg/m3 Bongo net 150 oblique 87
2014–2014 0–18 dry mass mg/m3 WP-2 (UNESCO Working Party 2) 150 oblique 1
P_7 Scott Reef ecosystem processes, zooplankton (100 micron) Scott Reef, Western Australia, Australia David Mckinnon AIMS 2008–2009 to 400 dry mass mg/m3 Multi net 100 vertical 138 72
P_8 Scott Reef ecosystem processes, zooplankton (500 micron) Scott Reef, Western Australia, Australia David Mckinnon AIMS 2009–2009 to 175 dry mass mg/m3 Multi net 500 vertical 3 72
P_9 Bathurst Island Bathurst Island, Northern Territory, Australia David Mckinnon AIMS 2005–2006 0–10 dry mass mg/m3 Ring net 73 vertical 6 73
P_10 Albatross Bay zooplankton Gulf of Carpentaria, Australia Peter Rothlisberg CSIRO 1986–1988 0–60 dry mass mg/m3 Plankton Net 0.5*0.5m square frame & multi-vane steel kite-otter depressor 142 oblique 374 21
1988–1992 0–69 dry mass mg/m3 Plankton Net 0.5*0.5m square frame & multi-vane steel kite-otter depressor 250 oblique 1166
P_11 WA Eddies Mid-west coast of Australia Joanna Strzelecki & Tony Koslow CSIRO 2003–2003 0–150 dry mass mg/m3 Bongo net 355 double 8 74
P_15 Zooplankton dynamics in the GBR Great Barrier Reef, Queensland, Australia David Mckinnon AIMS 2000–2002 0–40 dry mass mg/m3 Ring net 73 vertical 42 75
P_16 Wessels, Arafura Sea Arafura Sea, Australia David Mckinnon AIMS 2011–2011 0–53 dry mass mg/m3 Bongo net 100 oblique 11 76
P_17 North West Cape North West Cape, Western Australia, Australia David Mckinnon AIMS 1997–2003 0–75 dry mass mg/m3 Ring net 73 vertical 172 77
P_21 East coast Tasmania, shelf and near-shelf waters Mid- east coast Tasmania, Australia Kerrie Swadling IMAS 1971–1972 0–20 dry mass mg/100m3 WP-2 (UNESCO Working Party 2) 200 horizontal 92 78
P_23 Mid-slope zooplankton south of Tasmania Southern Ocean, south of Tasmania, Australia Kerrie Swadling IMAS 1992–1993 0–900 dry mass mg/m3 EZ 335 oblique 4 79
P_591 Moreton Bay plankton community dynamics Moreton Bay, Queensland, Australia Sarah Pausina UQ 2009–2012 0.2–0.2 dry mass mg/m3 Ring net 100 horizontal 89 Healthy Waterways ARC LPO883663 80
P_597# IMOS AusCPR Australia Anthony Richardson CSIRO 2010–2019 5–10 dry mass mg/m3 Continuous plankton recorder 270 oblique 2256 IMOS 13
P_599 IMOS National Reference Stations Darwin, Esperance, Kangaroo Island, Maria Island, Ningaloo, North Stradbroke Island, Yongala, Australia Anthony Richardson CSIRO 2008–2019 0–110 dry mass mg/m3 Drop net 100 vertical 732 IMOS 39,81
P_1088 Zooplankton of Lady Elliot Island Lady Elliot Island, Great Barrier Reef, Queensland, Australia Asia Armstrong UQ 2014–2014 0–2 wet mass mg/m3 Ring net 200 horizontal 90 UQ 82
P_1089 Coral Sea zooplankton Coral Sea, Australia David Mckinnon AIMS 2011–2013 0–150 dry mass mg/m3 Ring net 73 vertical 47 AIMS 26,83
2012–2014 0–200 dry mass mg/m3 Bongo net 73 oblique 33 AIMS
2012–2014 0–200 dry mass mg/m3 Bongo net 350 oblique 32 AIMS
2012–2014 0–200 dry mass mg/m3 Bongo net 150 oblique 33 AIMS
P_1090 CSIRO OCR cruises 1959-62 Australia CSIRO_literature CSIRO 1959–1962 0–400 wet mass mg/m3 Modified Clarke-Bumpus Sampler 270 oblique 272 CSIRO O&A Data Centre 84–93
1960–1961 0–400 wet mass mg/m3 Modified Clarke-Bumpus Sampler 270 horizontal 70
1961–1961 0–200 wet mass mg/m3 JUDAY NET (type not specified) 170 vertical 3
1961–1961 0–0 wet mass mg/m3 SCRIPPS High Speed Sampler 330 horizontal 44
P_1091 Derwent Hunter OSL cruises 1960-62 East coast of Australia CSIRO_literature CSIRO 1960–1962 0–250 wet mass mg/m3 Modified Clarke-Bumpus Sampler 260 oblique 150 CSIRO O&A Data Centre 94–97
1961–1961 0–50 wet mass mg/m3 Modified Clarke-Bumpus Sampler 260 horizontal 21
P_1092 Derwent Hunter cruises 1957 East coast of Australia CSIRO_literature CSIRO 1957–1957 0–200 displacement volume ml/m3 Clarke-Bumpus Sampler 270 oblique 44 CSIRO O&A Data Centre 98–100
P_1098 Tropical Australia zooplankton (63 micron) 1987-2009 Australia Miles Furnas AIMS 1987–2005 0–75 dry mass mg/m3 Ring net 73 vertical 821 83
P_1099 Zooplankton biomass in GOC 1975-77 Gulf of Carpentaria, Australia CSIRO O&A Data Centre CSIRO 1975–1977 0–66 dry mass mg/m3 Plankton Net 0.5*0.5m square frame & multi-vane steel kite-otter depressor 142 oblique 300 CSIRO O&A Data Centre 101
P_1100 Southern Surveyor cruises Griffiths Australia CSIRO O&A Data Centre CSIRO 1991–1993 0–100 settled volume ml/m3 Drop net 200 vertical 104 CSIRO O&A Data Centre 102
P_1101 Inshore GBR waters 1976-78 Great Barrier Reef, Queensland, Australia C.Lonborg AIMS 1976–1978 0–40 wet mass mg/m3 Conical net 205 vertical 177 AIMS 103
P_1105 Tranter zooplankton cruises 1957-63 Australia CSIRO CSIRO 1957–1961 to 200 wet mass mg/m3 Modified Clarke-Bumpus Sampler 270 oblique 756 104
1959–1961 0–126 wet mass mg/m3 Modified Clarke-Bumpus Sampler 270 horizontal 287
P_1106 BIONESS cruises 1992-93 East coast of Australia Jock Young CSIRO 1992–1993 0–400 dry mass mg/m3 EZ 335 oblique 82 105
P_1108 Australian Equatorial JGOFS dataset North coast of Australia CSIRO CSIRO 1992–1993 0–100 settled volume ml/m3 Drop net 200 vertical 42 106
P_1109 COPEPOD:au-04001 Magga Dan, 1959 Australia Todd O'Brien NOAA 1959–1959 0–100 wet mass mg/m3 Clarke-Bumpus Sampler 300 vertical 5 COPEPOD NOAA; CSIRO Australia
P_1109 COPEPOD:au-05101 CSIRO Australia, 1959-1963 Australia Todd O'Brien NOAA 1959–1963 0–400 wet mass mg/m3 Clarke-Bumpus Sampler 318 oblique 731 COPEPOD NOAA; CSIRO Australia
1960–1960 wet mass mg/m3 Clarke-Bumpus Sampler (null) unknown 1 http://www.st.nmfs.noaa.gov/copepod
1961–1961 0–100 dry mass mg/m3 Clarke-Bumpus Sampler 318 oblique 12
1961–1961 0–250 wet mass mg/m3 Clarke-Bumpus Sampler 300 oblique 38
1961–1961 0–100 wet mass mg/m3 Clarke-Bumpus Sampler 318 horizontal 21
1961–1962 wet mass mg/m3 Clarke-Bumpus Sampler 318 unknown 9
1962–1963 0–200 wet mass mg/m3 Indian Ocean Standard Net (IOSN) 330 vertical 287
P_1109 COPEPOD:fr-03004 L'ORSTOM III, 1958 Australia Todd O'Brien NOAA 1958–1958 0–381 displacement volume ml/m3 Plankton Net (type not specified) 366 oblique 6 COPEPOD NOAA; Oceanic Lab of the Inst of French Oceania, Noumea - New Caladonia
P_1109 COPEPOD:fr-03103 CINECA IV - CORINDON - CORiolis-INDONesia, 1981 Australia Todd O'Brien NOAA 1981–1981 0–0 settled volume ml/m3 WP-2 (UNESCO Working Party 2) 200 vertical 29 COPEPOD NOAA; Office de la Recherche Scientifique et Technique Outre Mer (ORSTOM), France
1981–1981 0–0 wet mass mg/m3 WP-2 (UNESCO Working Party 2) 200 vertical 29 http://www.st.nmfs.noaa.gov/copepod
P_1109 COPEPOD:id-05101 IMR Collection,1970-1983 Australia Todd O'Brien NOAA 1970–1976 to 350 settled volume ml/m3 NORPAC (North Pacific Standard Net) 333 vertical 123 COPEPOD NOAA; Institute of Marine Research-Jakata (IMR), Indonesia
1970–1983 to 350 displacement volume ml/m3 NORPAC (North Pacific Standard Net) 333 vertical 629 http://www.st.nmfs.noaa.gov/copepod
1971–1971 0–100 settled volume ml/m3 unknown 118 vertical 49
1971–1973 0–161 settled volume ml/m3 Plankton Net (type not specified) 119 vertical 74
1972–1983 0–199 settled volume ml/m3 unknown 119 vertical 297
1973–1973 0–0 displacement volume ml/m3 NORPAC (North Pacific Standard Net) 333 oblique 1
1973–1973 0–100 settled volume ml/m3 NORPAC (North Pacific Standard Net) 119 vertical 25
1974–1974 0 to unknown displacement volume ml/m3 unknown 515 horizontal 18
1974–1974 0 to unknown settled volume ml/m3 unknown 515 horizontal 17
1976–1976 0–100 settled volume ml/m3 Kitahara(n) Net 118 unknown 1
1976–1976 0–100 settled volume ml/m3 Kitahara(n) Net 333 unknown 19
1977–1977 0–126 settled volume ml/m3 Kitahara(n) Net 120 vertical 21
1979–1979 0–200 displacement volume ml/m3 NORPAC (North Pacific Standard Net) 333 unknown 16
1979–1979 0–1058 settled volume ml/m3 unknown 119 unknown 23
1980–1982 0–100 settled volume ml/m3 unknown 75 vertical 27
P_1109 COPEPOD:jp-04301 Hakuho Maru collection, 1979 Australia Todd O'Brien NOAA 1979–1979 0–151 settled volume ml/m3 NORPAC (North Pacific Standard Net) 100 vertical 7 COPEPOD NOAA; Japan Meteorological Agency (JMA), Japan
1979–1979 0–151 settled volume ml/m3 NORPAC (North Pacific Standard Net) 350 vertical 7 http://www.st.nmfs.noaa.gov/copepod
1979–1979 0–151 wet mass mg/m3 NORPAC (North Pacific Standard Net) 100 vertical 7
1979–1979 0–151 wet mass mg/m3 NORPAC (North Pacific Standard Net) 350 vertical 7
P_1109 COPEPOD:jp-05101 Japanese Antarctic Research Expedition (JARE), 1972–2008 Australia Todd O'Brien NOAA 1972–1996 0–200 wet mass mg/m3 NORPAC (North Pacific Standard Net) 330 vertical 31 COPEPOD NOAA; National Institute of Polar Research – (NIPR), Japan
1987–1996 0–200 wet mass mg/m3 NORPAC (North Pacific Standard Net) 110 vertical 22 http://www.st.nmfs.noaa.gov/copepod
1996–2008 0–150 wet mass mg/m3 Twin NORPAC Net 110 vertical 38
1996–2008 0–150 wet mass mg/m3 Twin NORPAC Net 330 vertical 37
P_1109 COPEPOD:jp-05201 JMA North Pacific Surveys, 1993-2002 Australia Todd O'Brien NOAA 1999–2002 0–160 wet mass mg/m3 NORPAC (North Pacific Standard Net) 330 oblique 14 COPEPOD NOAA; Japan Meteorological Agency (JMA), Japan
P_1109 COPEPOD:nl-03001 Snellius II Expedition, 1984-1985 Australia Todd O'Brien NOAA 1984–1985 0–240 displacement volume ml/m3 Gulf V Sampler (modified Gulf III; high speed) 200 oblique 52 COPEPOD NOAA; Netherlands Council of Oceanic Research (NRZ), Netherlands
1984–1985 0–192 displacement volume ml/m3 NORPAC (North Pacific Standard Net) 150 vertical 43 http://www.st.nmfs.noaa.gov/copepod
1984–1985 0–193 displacement volume ml/m3 NORPAC (North Pacific Standard Net) 300 vertical 44
1984–1985 0–193 displacement volume ml/m3 NORPAC (North Pacific Standard Net) 500 vertical 42
1984–1985 0–160 displacement volume ml/m3 Plankton Net (type not specified) 200 vertical 39
1984–1985 0–122 settled volume ml/m3 Kitahara(n) Net 75 vertical 44
P_1109 COPEPOD:ru-01003 Soviet Antarctic Expedition (SAE) - R/V OB 1956–1958 Australia Todd O'Brien NOAA 1956–1958 0–600 settled volume ml/m3 JUDAY Net 37/50 168 vertical 11 COPEPOD NOAA; Arctic and Antarctic Scientific Research Institute (AARI), Zoological Institute Russian Academy of Science, Russia
1958–1958 0–500 settled volume ml/m3 K100 Net 300 vertical 1 http://www.st.nmfs.noaa.gov/copepod
P_1109 COPEPOD:ru-04102 Vityaz Indian Ocean Cruises 31 and 33, 1959 Australia Todd O'Brien NOAA 1959–1959 0–500 wet mass mg/m3 JUDAY 80/113 Oceanic Model 168 vertical 112 COPEPOD NOAA; Institute of Oceanology/USSR Academy of Sciences – Vityaz Indian Ocean Cruises
P_1109 COPEPOD:ru-04103 Vityaz Pacific Ocean Cruises, 1957-1958 Australia Todd O'Brien NOAA 1957–1957 0–100 wet mass mg/m3 JUDAY Net 37/50 168 vertical 13 COPEPOD NOAA; Institute of Oceanology/USSR Academy of Sciences – Vityaz Pacific Ocean Cruises
1958–1958 0–532 displacement volume ml/m3 JUDAY Net 37/50 168 vertical 19 http://www.st.nmfs.noaa.gov/copepod
P_1109 COPEPOD:uk-04102 Foxton 1956, Discovery Cruises - Volume XXVIII, 1932-1939 Australia Todd O'Brien NOAA 1932–1939 0–1500 displacement volume ml/m3 Bongo net + Multi net 240 vertical 137 COPEPOD NOAA; National Institute of Oceanography, United Kingdom
P_1109 COPEPOD:us-01048 SOSC Gear Study, 1967 Australia Todd O'Brien NOAA 1967–1967 0–50 displacement volume ml/m3 ICITA plankton net 281 vertical 31 COPEPOD NOAA; Smithsonian Institution, USA
1967–1967 0–50 displacement volume ml/m3 Indian Ocean Standard Net (IOSN) 333 vertical 14
P_1109 COPEPOD:us-04101 R/V ELTANIN Cruises 16, 25, 26, 27, 1965-1969 Australia Todd O'Brien NOAA 1965–1965 0–250 displacement volume ml/m3 Be' Multiple Plankton Sampler (MPS) 200 vertical 1 COPEPOD NOAA; United States Antarctic Research Project - USAP/USARP, USA
1965–1965 0–10 displacement volume ml/m3 Plankton Net (type not specified) 200 horizontal 1 http://www.st.nmfs.noaa.gov/copepod
1965–1965 0–250 displacement volume ml/m3 Plankton Net (type not specified) 200 oblique 1
1965–1965 0–1000 displacement volume ml/m3 Plankton Net (type not specified) 200 vertical 2
1967–1967 500–2000 settled volume ml/m3 Bathypelagic Plankton Sampler (BPS) 200 vertical 2
1967–1967 0–500 settled volume ml/m3 Be' Multiple Plankton Sampler (MPS) 200 vertical 5
1967–1967 0–10 settled volume ml/m3 Plankton Net (type not specified) 200 horizontal 11
1967–1967 0–2000 settled volume ml/m3 Plankton Net (type not specified) 200 vertical 20
P_1109 COPEPOD:zz-03201 International Indian Ocean Expedition (IIOE), 1962-1965 Australia Todd O'Brien NOAA 1962–1962 0–260 displacement volume ml/m3 JUDAY 80/113 Oceanic Model 170 vertical 1 COPEPOD NOAA
1962–1965 0–560 displacement volume ml/m3 Indian Ocean Standard Net (IOSN) 330 vertical 212 http://www.st.nmfs.noaa.gov/copepod
1968–1968 0–125 wet mass mg/m3 NORPAC (North Pacific Standard Net) 330 vertical 1
P_1110 GOC & GAB productivity 1965 & 1968 Gulf of Carpentaria & Great Australian Bight, Australia Motoda Hokkaido University 1965–1968 0–144 wet mass mg/m3 NORPAC (North Pacific Standard Net) 350 vertical 38 107
P_1112 Plankton at Cronulla onshore station East coast of Australia CSIRO CSIRO 1943–1946 0–0 displacement volume ml/m3 N70 Discovery Net Horizontal 240 horizontal 133 108
P_1115 Marmion Lagoon zooplankton Mid-west coast of Australia Joanna Strezlecki CSIRO 2007–2008 dry mass g/m3 Bongo net 100 oblique 38 109
P_1135* LOPC around Australia Australia Jason Everett & Iain Suthers UNSW 2004–2018 2–600 Estimated Wet Weight from BioVolume mg/m3 Optical Plankton Counter (OPC-2T) 300 oblique 35358 52,53
P_1142 East Indian Ocean larval research 1987 East Indian Ocean CSIRO CSIRO 1987–1987 0–2 settled volume ml/m3 Ring net 500 horizontal 179 110
1987–1987 0–40 settled volume ml/m3 Ring net 500 oblique 5
1987–1987 0–50 settled volume ml/m3 Ring net 500 double 104
1987–1987 0–79 settled volume ml/m3 Bongo net 500 oblique 14
P_1143 Eastern GAB productivity Great Australian Bight, Australia Paul van Ruth SARDI 2004–2005 0–370 settled volume ml/m3 Conical net 150 vertical 39 SARDI 111
P_1144 Soela cruises GAB 1980-81 Great Australian Bight, Australia CSIRO CSIRO 1980–1981 0–250 settled volume ml/m3 Drop net 200 vertical 152 112
P_1148 Storm Bay study 1985-87 Tasmania, Australia Lesley Clementson CSIRO 1985–1988 0–40 settled volume ml/m3 log normal Drop net 200 vertical 132 113
P_1149 Zooplankton biomass in Storm Bay Tasmania, Australia Kerrie Swadling & Christine Crawford IMAS 2009–2015 0–90 settled volume ml/m3 Bongo net 200 vertical 407 114
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Note: P_597 is Continuous Plankton Recorder data, P_1135 is optical data . The other projects all used tradional nets for sample collection.

The biomass dataset can be used to: develop maps of zooplankton biomass; determine changes in zooplankton biomass over time or with oceanographic conditions; and to initialise and assess biogeochemical and ecosystem models10. The Australian Zooplankton Biomass Database is available through the AODN. The dataset is maintained by the CSIRO Data Centre and is updated with new records periodically and uploaded to the AODN. Researchers wishing to submit new data should contact the corresponding author or the AODN. A snapshot of the Australian Zooplankton Biomass Database as it is at the time of this publication has been assigned a DOI and will be maintained in perpetuity by the AODN6.

Methods

Data held in the Australian Zooplankton Biomass Database have been collated from literature, active and retired researchers, consultancies, archives and databases. Only project data with the relevant corresponding metadata regarding collection location, date and methods have been included. Samples have been collected on research and commercial vessels in coastal and oceanic waters across a range of depths from the tropics to the sub-Antarctic, with estuarine waters excluded. Samples for zooplankton biomass measurement were collected in one of three ways in the current dataset. First, using towed nets5,11,12, with a variety of mesh sizes and diameters. Second, using the CPR13, which has an aperture of 1.61 cm2. Last, by using optical counting instruments (e.g. the OPC or LOPC)14,15, which were towed in situ and measure size and number of zooplankton via attenuation of a light or a laser beam.

The collection strategy (sampling method, tow direction and time of day) used by individual projects has an important influence on the biomass of zooplankton collected. Many zooplankton vertically migrate diurnally, and larger ones can swim sufficiently to evade collection. This dataset includes samples collected by nets using different tow directions (vertical, horizontal and oblique, Fig. 3a). Vertical net sampling can mitigate effects of vertical migration if the entire water column is sampled such as in shallow coastal and shelf waters, but in oceanic locations vertical net drops are often stopped prior to the bottom, typically at about 200 m, missing deeper zooplankton. Oblique net tows sample diagonally through the water column between specified depths, and are often used to target larger, faster-swimming zooplankton. Horizontal net tows can be taken at the surface or at specific depths and are often used to target a specific feature of the water column (e.g. the deep chlorophyll maximum, the bottom of the mixed layer or an acoustically detected swarm) or to understand vertical migration. Samples in the dataset have been collected throughout the day and night and collection times are included where available. We have generated the variable: day_night, in the database to determine whether the sample was collected in the day or night to aid analysis of diurnal migration. This was estimated using the crepuscule function in the maptools package in R16, which compares the local time of the sample with the times of dawn and dusk for the date and latitude. Where bathymetric data were directly measured by the project it is provided by variable: bottom_depth_measured. To provide bathymetrical data for each record in the database, we determined the bottom depth based on latitude and longitude. Bathymetric depth estimates were obtained from the ETOPO1 bathymetry and topography database developed using an one Arc-Minute Global Relief Model17 using the Marmap package in R18, as the variable: bottom_depth_ETOPO_estimate.

Fig. 3.

Fig. 3

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Summary of (a): Net-collected data records showing the frequency of the tow direction and (b): Range of net mesh sizes used. H = horizontal tow, V = vertical tow, O = oblique tow, DO = double oblique tow and U = tow direction unknown.

The size of zooplankton targeted in net tows, whether micro-, meso-, or macro-zooplankton, is dependent upon the mesh size used, the diameter of the net, and the direction the net is towed, and the tow speed19. Finer-mesh nets generally collect more zooplankton and thus measure higher biomass because smaller species and more life stages are captured. However, finer-mesh nets (e.g. 100 µm) are more prone to clogging by phytoplankton and consequently can only be towed for short distances and at slow speeds, therefore sampling a smaller water volume. These smaller water volumes are appropriate for sampling microzooplankton and mesozooplankton such as copepods, but not ideal for sampling the rarer and larger macrozooplankton. This can be compensated for by increasing the filtering area of the net20,21. Coarser-mesh nets (e.g. 500 µm), often with larger diameters can be towed at higher speeds to capture larger, more-motile zooplankton such as euphausiids and amphipods, but miss the small zooplankton22–25. Coarse mesh nets are often towed obliquely and deployed in deep waters to target the larger zooplankton that can be strong vertical migrators which swim to the surface at night and sink deeper during the day. There is no one ideal net or mesh size to capture all zooplankton sizes.

Many net mesh sizes exist in the project datasets ranging from 73–550 µm mesh, Fig. 3b. Net types and dimensions also vary considerably among projects. Some nets can open and close to target particular depths, and some vertical nets (e.g. ring nets) are deployed free-fall (sampling going down) or hauled upwards (sampling going up). The various sampling gears and measurement methods used require that care should be taken when comparing biomass values across projects, while gear and methods are usually consistent within each project. In particular, mesh size is a major determinant of the magnitude of the biomass measurement. For example, McKinnon26 found the biomass of the 73 µm mesh fraction of the zooplankton was 2.3 times greater than the 350 µm mesh fraction collected in waters of the Great Barrier Reef and 3.6 times greater in waters off the Kimberley coast. The database includes the total zooplankton biomass as recorded by the individual projects, this may include sporadically high abundances of gelatinous species. For further information on how each project dealt with this component of the plankton, please consult the relevant project citation.

Biomass calculations require the volume of water filtered during the zooplankton collection; the volume is the product of the distance travelled and net mouth area. This can be obtained by a combination of the following variables: tow duration, calibrated flowmeter values, tow speed and/or sampling depth. Hence, a variety of calculations exist to determine the volume of water sampled2,27–30. The collection method and biomass measurement are included for inter-project comparisons (Online-only Table 1). For the Australian Zooplankton Biomass Database, the initial zooplankton biomass values were all converted into standard units of µg Carbon per litre (µg C/L) using accepted calculations2,28,31–35 for the zooplankton dry mass, wet mass, displacement volume or settled volume. The frequency of use of the different biomass measurement methods varies over time, Fig. 4.

Fig. 4.

Fig. 4

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Histograms of the net-collected data records showing number of samples over the collection period for each biomass measurement method by sampling depth.

Probably the most important effect of gear on the magnitude of zooplankton biomass is mesh size25,36,37. Comparisons of zooplankton biomass collected by different nets and samplers were summarised by Skjoldal38. Certainly the traditional standard 200 μm mesh net was used more in Australia in the past, but is now considered inappropriate for capturing the smaller zooplankton typical of oligotrophic tropical waters in much of the region26,39. In the analysis of the global COPEPOD dataset40–44, they found 333 μm mesh to be the most commonly used mesh size, so a factor was derived to convert all the other biomass records to 333 µm-equivalent values to enable comparison among datasets. It was noted that each mesh size did not offer a complete geographic coverage and that the use of 333 μm mesh was absent in their Southern Ocean data33,40–44. The mesh size in the Australian Zooplankton Biomass Database is highly variable and varies spatially as well as temporally (Fig. 3b). No attempt is made in this database to convert to a standardised mesh size and the mesh size is therefore included as a factor to be interpreted by the data users or used in statistical models.

In addition to the net-collected data, this database also contains 2256 zooplankton biomass records from CPR samples from on-going the Integrated Marine Observing System (IMOS) project (P_597). The CPR is towed primarily by “ships of opportunity” (commercial vessels plying their trading routes) as well as research vessels, at speeds of 10 to 25 knots and at ~10 m depth for distances up to 450 nautical miles per tow. Methods of counting and processing data are described by Richardson et al.13. The biomass estimate includes the dry weight of both the phytoplankton and zooplankton washed of the silk and filtered through a 75 μm filter, although the biomass is usually dominated by zooplankton. Further, the CPR underestimates zooplankton abundance and biomass compared with net-collected data sets13,45,46. Although conversions between CPR abundance (not biomass) and other sampling methods have been used before47, these are most likely species- and area-specific13,48. CPR data included in this dataset can therefore be used by themselves as they are internally consistent, but they are a poor measure of absolute abundance or biomass13,48.

Zooplankton biomass can also be estimated from measurements of plankton body-size by optical instruments. In this database, we include measurements from both the OPC49 and LOPC15 (P_1135). The optical instruments measure the change in light attenuance as particles pass in front of their light emitting diode (OPC) or laser (LOPC) light source. Changes in light attenuance are recorded as an Equivalent Spherical Diameter (ESD) which is the diameter of each particle, assuming each to be spherical in shape. As the many of the zooplankton (e.g. copepods) are the shape of an oblate spheroid (Length:Width:Depth ratio of 3:1:1)49, we use the cross-sectional area of the sphere to calculate the equivalent cross-sectional area of an oblate spheroid, giving an improved estimate of the length, width and depth measurements of the particle. These measurements, along with the density of water (1 g/mL), are used to calculate a biovolume and then biomass of each particle. The use of these instruments in oceanographic studies provides a standard procedure to rapidly count and size zooplankton at a fine spatial (metres) and temporal (0.5 seconds) resolution. However, there are limitations such as the lack of taxonomic information and the influence of sediment and marine snow50. The OPC and LOPC data in this dataset were collected from the RV Southern Surveyor and RV Investigator between the surface and a maximum depth of 300 m using a modified SeaSoar and Triaxus (MacArtney, Denmark). Each vertical cast was split into 50 m increments, and the summed biomass between ESDs of 300 μm and 12 mm reported51,52. As the OPC/LOPC data are derived from a measurement of individual size (rather than a direct biomass measurement) these data are not converted to a carbon equivalent and should be analysed separately unless standardised.

A total of 11573 records from net samples are included in the database. Of these data: 4434 records were from historical CSIRO datasets, 1835 records were provided by the Australian Institute of Marine Science (AIMS) from tropical Australian waters and 732 records were from on-going IMOS National Reference Stations project (P_599). On a global scale, Moriarty & O’Brien33 compiled 153,163 zooplankton biomass records in the online Coastal and Oceanic Plankton Ecology, Production and Observation Database (COPEPOD) hosted by NOAA (http://www.st.nmfs.noaa.gov/copepod). Only 2% of these COPEPOD records are within the geographical boundaries of 0–60°S, 110–160°E and are included within the Australian Zooplankton Biomass Database (P_1109), with acknowledgement (Online-only Table 1). Our data set contains >8000 additional net collected records of zooplankton biomass for the Australian region.

Unfortunately, while some of the earliest research cruises in the Australian region sampled zooplankton, they did not quantitatively measure the biomass53. This includes the following voyages/research expeditions: Challenger Expedition from 1873 to 1876 - off south-east Australia54,55; Siboga from 1899 to 1900 - around the Dutch East Indies56; British Antarctic Expedition Terra Nova from 1910 to 191357; the Australia Antarctic Expedition from 1911 to 191458; the 1928 GBR expedition59,60; Dana II from 1929 to 1930 in the Tasman Sea61; the BANZARE survey from 1929 to 1931 in the Australian-Antarctic quadrant62; Dakin and Colefax’s 1930s studies of New South Wales63,64; NAGA cruise S11 (cruises S1-S10 collected biomass but cruise S11 in Australian waters did not)65. The historical dataset with biomass data from Discovery from 1932 to 193466 is included from COPEPOD along with datasets from 1956–2002. Details on individual projects included from COPEPOD are available from the links provided in Online-only Table 1.

Data Records

In this database6, each data record belongs to a project (e.g. P_599 is the IMOS National Reference Stations dataset) and represents the total zooplankton biomass at a certain point in space and time and has been given a unique record identification number: P_(project_id) _(record_id). A project is defined as a set of data records that have been analysed together, usually as a cruise or study with the same sampling and processing methods. Metadata ascribed to a project relates to all the data records within that project (Online-only Table 1). Each sample within that project has a unique sample_id. The sample_id for each record is composed of a string of fields from the original data set to maintain traceability to the original source. Database fields for each data record are: latitude, longitude, sample date and time (local and UMT), depth (minimum, maximum, bottom_depth_measured and bottom_depth_ETOPO_estimate), biomass (value, measurement units and method) as in the original project, biomass converted to carbon (µgC/m3), net/gear type, mesh size, tow direction (vertical, horizontal, oblique) and day/night.

Most of the projects have ceased, and the final project dataset is collated for this database. However, the IMOS National Reference Stations (P_599) and Continuous Plankton Recorder Survey (P_597) datasets are ongoing long-term IMOS projects. Data are continually updated and available through the AODN separately. These two surveys from 2009 to the present, currently contribute 2988 records to the database and this figure will continue to increase.

Technical Validation

Zooplankton biomass has been sampled using a variety of methods and measured in many ways. The biomass measurement method is recorded as the original measurement used by each project: biomass calculated as dry/wet mass or carbon; or biovolume calculated as displacement volume or settled volume. While projects are internally consistent, if the original values are to be used for analyses across projects, attention to the units of measurement is required as these vary (e.g. mg/m3 and g/m3). All biomass values (except from the optical dataset, P_1135) have been converted to a carbon equivalent (µg C/L) to allow inter-project comparison, but it is possible that the conversions (developed elsewhere in the world) do not hold true in some circumstances (e.g. high volumes of gelatinous specimens). If using multiple datasets, users are encouraged to build their own statistical models using the original projects as fixed or random factors.

Original data records with missing location and/or sampling dates have been excluded from the dataset. Some projects are missing data in some fields such as minimum and maximum depths, tow direction and/or net type. Using 1/6th degree squares, the bottom_depth_ETOPO_estimate values from the ETOPO1 data is quite coarse and may be inaccurate for sample locations with rapidly changing bottom topography. For some records close to land, the ETOPO1 bathymetry could not be resolved for this dataset or was inaccurately calculated (e.g. Darwin Harbour samples: P_4). This is 125 records for the net data and 700 for the optical data; depth could be estimated from nautical charts if required. At 1/6th degree squares, the ETOPO1 data is quite coarse and may be inaccurate for areas with rapidly changing bottom topography.

Day or night was calculated for each data record that had a time of collection, the records with no time have a blank. There are also some projects which had no time of collection provided but did note whether the sample was collected in day or night, so they also have the day_night data.

The optical plankton dataset (P_1135) provides biomass estimates from ESDs of 300 μm upwards. It has a collection aperture, but minimum organism size “sampled” is set by what is resolved by the instrument. The optical plankton biomass is an estimated wet weight calculated from the biovolume and these values are not directly comparable with the conventional net-collected biomass values. Optical samplers do not discriminate between particle types (i.e. between detritus and plankton), therefore the carbon equivalent is not calculated for this project dataset.

The CPR sampler (P_597) uses silk mesh, which retains smaller organism than conventional smoother nylon mesh13. We therefore suggest that the optical plankton and CPR data should be either analysed separately from the net-collected data or analysed together with net samples using appropriate statistical models. Note that the CPR and OPC/LOPC datasets have a high level of internal consistency.

As with the Australian Phytoplankton Database8, Zooplankton Abundance Database7, Chlorophyll a Database9, the Australian Zooplankton Biomass Database has been built with ease of use and minimising user error in mind. Therefore, it provides clean, easily comparable data at a level that requires minimal interpretation. The CSIRO database holds all the raw data, original datasets and ambiguous records from the constituent datasets, and researchers can request further information from the custodians detailed in Online-only Table 1. In this database, the COPEPOD datasets include the “copePID”: a permanent unique identifier to link to each project data set in COPEPOD, this is the first 8 digits of the sample_id. This enables access to the dataset and associated metadata in COPEPOD (e.g. au-04001: https://www.st.nmfs.noaa.gov/copepod/data/au-04001/).

Usage Notes

With a comprehensive continental-scale dataset, care must be taken with analysis as the data were collected using very different methods. Data were collected under vastly different environmental conditions, from tropical, to sub-Antarctic waters.

This database6 can be used in conjunction with the Australian Zooplankton Abundance Database7, which provides species-level data and is available through the AODN. The Australian Phytoplankton Abundance Database8 and the Australian Chlorophyll a Database9 (both also available through the AODN) provide complementary data that can be matched to the zooplankton biomass data via Project_id and to individual records via sample_id or by sampling date and time details. The Australian Larval Fish database67 also includes information from Project P_599: the IMOS National Reference Stations and is also available for comparison through the AODN.

Acknowledgements

We acknowledge the contributions from all collaborators and their institutions. We are also grateful to the retired researchers who lodged comprehensive data sets with their research institution data repositories, which enabled inclusion in this database: David Tranter (CSIRO) and Miles Furnas (AIMS). If data from multiple projects are used, please acknowledge this publication, but if data from individual projects are used, please acknowledge use of data as per the custodian information. The relevant acknowledgement data is available from the metadata files attached to the data. We would also encourage the data user to enter into collaboration with the researchers involved in the data they use – understanding the history of a project will add value to your research. If using data from P_599 the IMOS National Reference Stations or P_597 the Australian Continuous Plankton Recorder, please use the following acknowledgement: “Data sourced from the Integrated Marine Observing System (IMOS) – IMOS is a national collaborative research infrastructure, supported by the Australian Government.” Similarly, for Project 591 “Data for this project was collected with support from Healthy Waterways, Queensland ARC LPO883663”. For P_1109, please acknowledge “COPEPOD: the global plankton database (2018) available at http://www.st.nmfs.noaa.gov/copepod/”.

Online-only Table

Author contributions

F.R.M. collated data and co-wrote manuscript. C.H.D. collated data and built database, co-wrote manuscript. A.J.R. co-wrote manuscript and conceived the study. S.E. and M.M. provided database support and set up the web server export to the AODN. N.A. represents the AODN. The following authors provided data from the projects in brackets: C.H.D., F.E.C., F.R.M., R.E., M.T., A.S. and J.U.P. (P_597, 599); C.L. and A.D.M. (P_4,5,9,15,16,17,1089, 1098, 1101); A.A. (P_1088); L.C. (P_1148); P.R. (P_10, P_1099); S.P. (P_591); J.S. (P_11, 1115); J.W.Y. (P_1106); J.D.E. and I.M.S. (P_1135); T.O.B. (P_1109); K.M.S. (P_21, 23. 1149); P.v.R. (P_1143).

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. McEnnulty FR, 2019. The Australian Zooplankton Biomass Database (1932–2019). Australian Ocean Data Network. [DOI]

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