Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
• Parameters
• Instruments
• Deployments
• Project Information
• Funding

Counts of larval fishes collected by a 4m² Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC4) in a subtropical, pelagic environment. 

Restricted dataset: Data are currently restricted pending publication of the manuscript. Please contact the PI for prior access.

Larval fishes were collected at each station using a Multiple Opening Closing Net and Environmental Sensing System (MOCNESS, http://www.whoi.edu/instruments/viewInstrument.do?id=10008) with a 4 square meter opening and 1 mm mesh nets (MOC4). To capture larval fishes and mesozooplankton on a fine horizontal spatial scale, we sequentially fired each MOCNESS net every ~125-500 m. Traveling at a speed of 2 meters per second each MOC4 net sampled ~500-2600 cubic meters. We fired a total of five nets per tow. One net was open from the surface to depth (net zero), and four nets sampled discrete depths. At every station, this fine-scale net sampling was repeated with two MOC4 tows at 15 m and 30 m depth (randomized order), thus eight replicate tows per depth. Once onboard, the nets were rinsed with seawater and the contents of each cod end immediately preserved in 95% ethanol.

All larval fishes were separated out of the samples, enumerated, and stored for later taxonomic identification.

BCO-DMO Processing:
- added official cruise ID corresponding to the PI-provided cruise name;
- modified parameter names to conform with BCO-DMO naming conventions;
- formatted dates to mm/dd/yyyy and times to hh:mm:ss;
- replaced -999 with "nd" (meaning "no data");
- joined the station location data to the MOC data;
- 05-Dec-2018: replaced v1 of dataset with v2, which has corrections made to volume filtered.

Description from NSF award abstract:
The spatial pattern of organisms within pelagic marine environments is of significant ecological importance, and this is particularly true for larval fishes. Patchy prey and predator environments should lead to variation in predator-prey interactions, and thus to variations in larval fish growth and survival. These have proven very difficult to resolve in nature, due in large part to the broad range of spatial scales involved and technological challenges with adequately sampling the various processes simultaneously. This study will use new technology (In Situ Ichthyoplankton Imaging System - ISIIS) to simultaneously measure the fine-scale distribution of larval fishes in relation to their prey, their planktonic predators, and the physical environment of the Straits of Florida. This will be combined with targeted fine-scale net sampling and analyses of individual recent daily larval growth. By sampling a series of water masses at very high resolution, this study will address specific hypotheses concerning: i) the drivers of aggregations and patchiness, and ii) the biological consequences of predator-prey interactions at fine scales.

The primary intellectual merit of the study is the unprecedented examination of plankton processes at scales of relevance to biological interactions among larval fishes, their prey, and their predators. This field study will further our understanding of the predator-prey interactions contributing to spatially explicit larval growth and mortality patterns. The focus on subtropical planktonic food webs will enhance scientific knowledge of these understudied pelagic ecosystems and provide valuable data for comparative analyses with pelagic food web dynamics at higher latitudes. A deeper understanding of pelagic planktonic ecosystems over a range of spatial and temporal scales is increasingly important as the oceans undergo major environmental changes. Substantial increases in the relative dominance of gelatinous organisms, for example, have the potential to cause major shifts in pelagic food webs. A better understanding of the fine-scale interactions of such food webs will help society anticipate and respond to the consequences of such changes.

Note (07 Oct 2014): Funding for this project transferred from award OCE-1333800 to OCE-1419987, coincident with the Principal Investigator's affiliation change from University of Miami to Oregon State University.