Comparison of WP-2 and MOCNESS plankton samplers for measuring zooplankton biomass in the Barents Sea ecosystem.

Hein Rune Skjoldal, Johanna Myrseth Aarflot, Tor Knutsen, Peter H Wiebe
Author Information
  1. Hein Rune Skjoldal: Institute of Marine Research, Ecosystem Processes Research Group, PO Box 1870 Nordnes, N-5817 Bergen, Norway. ORCID
  2. Johanna Myrseth Aarflot: Institute of Marine Research, Ecosystem Processes Research Group, PO Box 1870 Nordnes, N-5817 Bergen, Norway.
  3. Tor Knutsen: Institute of Marine Research, Plankton Research Group, PO Box 1870 Nordnes, N-5817 Bergen, Norway.
  4. Peter H Wiebe: Woods Hole Oceanographic Institution, Woods Hole, MA 02543-1050, USA.

Abstract

Zooplankton in the Barents Sea has been monitored on an annual autumn survey since the late 1980s, using vertical WP-2 and oblique Multiple Opening and Closing Net and Environmental Sensing System (MOCNESS) tows over the water column. Sampling with MOCNESS is used to describe the vertical distribution and more frequent sampling with WP-2 (~3:1) to describe the horizontal distribution. We use here a large cumulative data set of 874 MOCNESS and 2850 WP-2 stations with data on size-fractioned dry-weight biomass to compare the two zooplankton sampling gears. MOCNESS is consistently collecting more biomass of the large size fraction (>2 mm screen size) by ~20% and less of the small fraction (<1 mm) by ~30% compared to WP-2. This is interpreted to reflect more extrusion of small plankton and less avoidance by larger plankton with the MOCNESS. The data set has been collected by three research vessels. There was a difference in vertical speed in oblique tows of MOCNESS among the ships but no clear effect on volume filtered per unit time. This demonstrates operational consistency and suggests the use of a constant flow factor (distance per flowmeter count) when calculating results over the time series. The issue of calibration of traditional flowmeters on oblique tows needs further examination.

Keywords

References

  1. PLoS One. 2014 May 01;9(5):e95273 [PMID: 24788513]
  2. J Plankton Res. 2021 Aug 31;43(5):762-772 [PMID: 34584493]
  3. J Plankton Res. 2023 Oct 12;45(6):870-884 [PMID: 38084300]

Word Cloud

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