Dataset: MOCNESS_biovols
Deployment: NBP0103

Plankton biovolume data from MOCNESS tows, NBPalmer cruises
Principal Investigator: 
Peter H. Wiebe (Woods Hole Oceanographic Institution, WHOI)
Technician: 
Nancy Copley (Woods Hole Oceanographic Institution, WHOI)
BCO-DMO Data Manager: 
Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Project: 
Deployment Synonyms:
 GLOBECI
Coordinated Deployments:
Description

Southern Ocean Biovolume Data from the MOCNESS tows during the Broadscale Cruises, Austral Autumn 2001 and 2002 NB Palmer

This data set is derived from displacement volume measurements and dry weight conversion calculations (see Methods below). The MOCNESS-1 plankton sampler has nine rectangular nets (1m x 1.4 m) with a mesh size of 0.333 mm, which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976).

Cruises:
Nathaniel B. Palmer, April-June 2001 (NBP01-03), 24 tows
Nathaniel B. Palmer, July-Sept. 2001 (NBP01-04), 17 tows
Nathaniel B. Palmer, April-May 2002 (NBP02-02), 24 tows
Nathaniel B. Palmer, July-Sept. 2002 (NBP02-04), 19 tows

Related Datasets:
- Zooplankton Biomass and Abundance from MOCNESS tows using silhouette analysis: NB Palmer, austral fall & winter of 2001 & 2002. Biomass (wet weight) and abundance were determined principally by silhouette digitization of taxa lengths and conversion to equivalent wet weights according to the equations and methods adapted from Davis and Wiebe (1985) and Wiebe et al. (2004). https://www.bco-dmo.org/dataset/2389

- Zooplankton Abundance Based on Taxa and Life Stages or Size Collected during the Broadscale Cruises, Austral Autumn 2001 and 2002, NB Palmer. These abundance values on the same tows were derived by counting and identifying a subset of the zooplankton to the species and life stage for euphausiids and dominant copepods and to taxonomic group with broad size categories for other zooplankton (pteropod, chaetognath, polychaete, etc.). https://www.bco-dmo.org/dataset/2387

More information about this dataset deployment