Article · Wikipedia archive · Last revised Jun 3, 2026

BIONESS

The BIONESS, also produced commercially under the name EZ Net is a towed net system comprising multiple opening and closing nets for the collection of plankton and micronekton in the ocean. It comprises a set of ten nets of user selected mesh sizes, and is useful for collecting samples at multiple depths and sizes. It is designed to sample waters in a similar manner to the MOCNESS system but with a reduced front profile for improved streamlining/reduced net avoidance, also permitting it to be towed at a higher speed through the water if needed. A range of sensors on the unit provide real time data to the towing vessel via a multicore cable, which is also used to control the opening and closing of individual nets. A particular application of such systems is to investigate the vertical distribution of zooplankton in the water column, which exhibit a behaviour known as diel vertical migration and move up or down according to the time of day.

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Southern Surveyor voyage 1993-04: EZ net (=BIONESS) night-time retrieval source ↗
Southern Surveyor voyage 1993-04: EZ net (=BIONESS) night-time retrieval (2) source ↗

The BIONESS (acronym for Bedford Institute of Oceanography Net and Environmental Sampling System), also produced commercially under the name EZ Net (for Easy Zooplankton net) is a towed net system comprising multiple opening and closing nets for the collection of plankton and micronekton in the ocean. It comprises a set of ten nets of user selected mesh sizes, and is useful for collecting samples at multiple depths and sizes. It is designed to sample waters in a similar manner to the MOCNESS system but with a reduced front profile for improved streamlining/reduced net avoidance, also permitting it to be towed at a higher speed through the water if needed. A range of sensors on the unit provide real time data to the towing vessel via a multicore cable, which is also used to control the opening and closing of individual nets. A particular application of such systems is to investigate the vertical distribution of zooplankton in the water column, which exhibit a behaviour known as diel vertical migration and move up or down according to the time of day.1

Design and usage

The system was developed at the Bedford Institute of Oceanography in Canada from 1977 onwards as an improvement on the MOCNESS system developed by P. Wiebe et al. at Woods Hole Oceanographic Institution; a technical description was published in 1979 and a more condensed overview of the instrument by Sameoto et al., 1980.2. It is towed behind a research vessel at a speed of up to 4 knots (2.1 m/s) and consists of ten nets with a user supplied mesh size from c.250 μm to 1000 μm which are opened and closed by computer control at desired target depth. The net enables biologists to catch zooplankton and nekton in various depth horizons typically anywhere in the upper 5000 m of the oceans.3 The system includes instrumentation to measure salinity and temperature at sampling depths, and transmit these values to the towing vessel in real time, in addition to electronic flowmeters which calculate the total volume of water passing through the mouth of the net. As with the MOCNESS system, the type of sampling is described as "obliquely, horizontally integrating", as compared to, for example, the horizontal integration of the Continuous Plankton Recorder, or the vertical integration of non opening/closing net systems.3 A commercial version of the apparatus, designated the EZ Net (or EZNet, or E-Z-Net), acronym for Easy Zooplankton Net, is (or was) manufactured by Eastern Marine Services, Dartmouth, Nova Scotia.4 The Australian (CSIRO) Division of Fisheries's Soela and its associated and successor vessels including Southern Surveyor, Franklin and Investigator have deployed an EZ Net on a number of research voyages for trials and then study of zooplankton dynamics since at least 1986,5678 and an upgraded version of the EZ Net (therein simply called the "multinet system") is currently (2026) available as part of the equipment complement for users of the Investigator.9 Some comparative performance characteristics between the BIONESS and MOCNESS systems have been given here.1011

Example deployments

In the first ten years since its release, the BIONESS was used mainly in Canadian waters including studies in the Canadian Arctic.12 In the 1990s, BIONESS units were deployed further afield including Europe, South America and the Australian region,13 a pattern that has continued into the 2000s.14 Example images from a 2015 research cruise by the Australian vessel Investigator are included here.15

Terminology

Although, as with MOCNESS, BIONESS aka the EZ Net is conceptually another instance of a "Multiple Opening and Closing Net and Environmental Sensors", the acronym MOCNESS should be reserved for the Woods Hole-designed instrument and BIONESS (or EZ Net) used for the present apparatus as described here. The conflation of the two terms in certain presently available web descriptions16 is thus misleading, since the two systems are not the same.

See also

See also

References

References

  1. Bandara, Kanchana; Varpe, Øystein; Wijewardene, Lishani; Tverberg, Vigdis; Eiane, Ketil (2021). "Two hundred years of zooplankton vertical migration research". Biological Reviews. 96 (4): 1547–1589. doi:10.1111/brv.12715. hdl:10037/22091. ISSN 1469-185X. PMID 33942990. S2CID 233722666.
  2. Sameoto, D. D.; Jaraszynski, L. O.; Fraser, W. B. (1980). "BIONESS, a new design in multiple net zooplankton samplers". Canadian Journal of Fisheries and Aquatic Sciences. 37 (4): 722–724. doi:10.1139/f80-093.
  3. D. Sameoto, P. Wiebe, J. Runge, L. Postel, J. Dunn, C. Miller & S. Coombs, 2000: "Collecting zooplankton". Pp. 55–81 in In ICES zooplankton methodology manual. Academic Press. Available at https://www.researchgate.net/profile/Lutz-Postel/publication/284402367
  4. Quiñonez-Velázquez, C. (1999). "Age validation and growth of larval and juvenile haddock, Melanogrammus aeglefinus, and pollock, Pollachius virens, on the Scotian Shelf". Fishery Bulletin. 97: 306–319.
  5. "Survey details: FR 06B/86". CSIRO. Retrieved 28 April 2026.
  6. Griffiths, B., 1988. Cruise plan and summary, F.R.V. Soela, Cruise 6/88. CSIRO Division of Fisheries, Australia. Available via https://www.marine.csiro.au/data/trawler/download.cfm?file_id=3218
  7. Young, J. W.; Bradford, R. W.; Lamb, T. D.; Lyne, V. D. (1996). "Biomass of zooplankton and micronekton in the southern bluefin tuna fishing grounds off eastern Tasmania, Australia". Marine Ecology Progress Series. 138: 1–14. doi:10.3354/meps138001.
  8. Fletcher, W. J. (1999). "Vertical distribution of pilchard (Sardinops sagax) eggs and larvae off Southern Australia". Marine and freshwater research. 50 (2): 117–122. doi:10.1071/MF98024.
  9. "Deployable Equipment: Nets". csiro.au. Retrieved 25 April 2026.
  10. Sameoto, D. D. (1980). "Quantitative measurements of euphausiids using a 120-kHz sounder and their in situ orientation". Canadian Journal of Fisheries and Aquatic Sciences. 37 (4): 693–702. doi:10.1139/f80-087.
  11. Wiebe, P.H., Groman, R.C. and Allison, M.D., 2002. ICES/GLOBEC sea-going workshop for intercalibration of plankton samplers. ICES Cooperate Research Report no, 250, 25 pp. International Council for the Exploration of the Sea, Copehagen, available at https://www.vliz.be/imisdocs/publications/ocrd/257026.pdf
  12. Google Scholar search, end year 1990, refer https://scholar.google.com/scholar?q=%22bioness%22+zooplankton&hl=en&as_sdt=0%2C5&as_ylo=&as_yhi=1990
  13. Google Scholar search, start year 1991, end year 2000, refer https://scholar.google.com/scholar?q=%22bioness%22+zooplankton&hl=en&as_sdt=0%2C5&as_ylo=1991&as_yhi=2000
  14. Google Scholar search, start year 2001, refer https://scholar.google.com/scholar?q=%22bioness%22+zooplankton&hl=en&as_sdt=0%2C5&as_ylo=2001&as_yhi=
  15. "Ecological impacts of billows and small eddies along the productive shelf by the EAC". CSIRO. Retrieved 27 April 2026.
  16. Example: https://www.cmar.csiro.au/data/equipment/equipment_details.cfm?equipment_guid=6BFA9A0C-0DF6-4734-AD9B-6EBF72D5E444
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