Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
  • BCO-DMO Processing Description
  • Problem Description
• Data Files
• Supplemental Files
• Related Publications
• Related Datasets
• Parameters
• Instruments
• Project Information
• Funding

CPUE = Catch Per Unit Effort
ASU = artificial seagrass unit

To explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes (12-m x 10-m), consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness (i.e., 1 patch, 12 patches, 24 patches) while maintaining consistent total ASU area (48 ASUs, 50 m² artificial seagrass). Between treatments of 12 and 24 patches, differences in configuration could be achieved by either varying interpatch distances or total footprint area. Therefore, we used two 12-patch treatments to consider these covariates separately, as indicated by footprint sizes (i.e., 12 patches-small versus 12 patches-large). We also examined the effect of patch-scale position on scallop densities. Relative 'inner' and 'outer' positions were operationally defined for 1-patch and multi-patch landscapes, separately. Within 1-patch landscapes, ASUs that bordered sandflat were considered 'outer' positions, while 'inner' positions were defined by ASUs that only bordered other ASUs. Within multi-patch landscapes, 'outer' positions were patches that had no additional patches between them and the landscape footprint border. 'Inner' position patches were centrally located patches in the landscape.

To examine the influence of potential scallop predator community structure on scallop responses, we deployed Gee-style minnow traps (41-cm x 22-cm cylinders, 0.3-cm galvanized wire-mesh, with 4-cm dia. funneled openings) baited with ~8 pieces of dry dog food within landscapes to accompany each density survey. Four traps were deployed in each landscape 24 h prior to scallop placement, to not disturb mobile scallops. Two traps were haphazardly placed in inner and outer patch-scale positions and collected after 24 h. All caught fauna were identified to the species level, enumerated, and released.

Depth note:  Depth ranges were similar across all sites as they were located on a single shoal (Oscar Shoal in Back Sound, NC, USA). Depths typically ranged from <0.5 m (at low tide) to 1.5-2 m (at high tide).

Organism identifiers (common name, scientific name, LSID):
bay scallop, Argopecten irradians, urn:lsid:marinespecies.org:taxname:156817
eelgrass, Zostera marina, urn:lsid:marinespecies.org:taxname:495077
* see Supplemental File "Species List" for additional taxonomic information to accompany the trap data.

All data were entered electronically into an Excel spreadsheet.

* Sheet "Data" of submitted file "Scallop_Predators_Minnow_Traps_2019.xlsx" was imported into the BCO-DMO data system for this dataset. Values "NA" imported as missing data values.
** In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.

* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]

* DateTime with time zone column added "ISO_DateTime_UTC_In." Converted from Date_In and Time_In (from local EST/EDT to UTC) converted to ISO 8601 format.

* Species List added as a supplemental file. Contains match information for taxonomic names used in the dataset to names at the World Register of Marine Species (WoRMS) using the WoRMS taxa match tool (https://www.marinespecies.org/aphia.php?p=match). Match performed on 2024-10-08.

* Submitter revised and resubmitted table with file "939592_v1_scallop-density-assay-trap-cpue_revised.csv" which corrects species names. BCO-DMO data manager made one additional correction Lagadon rhomboides -> Lagodon rhomboides and Sarsema spp. -> Sesarma spp. revised file was imported into the BCO-DMO data system and provided as the primary data table for version 1 of this dataset (939592_v1_scallop-density-assay-trap-cpue.csv).

* Submitter revised and resubmitted table with file "939592_v1_scallop-density-assay-trap-cpue_revised2.csv" which corrects species names and resolves a conflict between revised file was imported into the BCO-DMO data system and provided as the primary data table for version 1 of this dataset (939592_v1_scallop-density-assay-trap-cpue.csv).

* Submitter revised and resubmitted table with file "939592_v1_scallop-density-assay-trap-cpue_revised3.csv" which corrects species names and resolves a conflict between revised file was imported into the BCO-DMO data system and provided as the primary data table for version 1 of this dataset (939592_v1_scallop-density-assay-trap-cpue.csv). This revision resolved conflicting common and species names (Blue crab,Lagodon rhomboides) issue.

* Names checked again and species list supplemental file updated (name match performed on 2024-10-11).

Amount and quality of habitat is thought to be of fundamental importance to maintaining coastal marine ecosystems. This research will use large-scale field experiments to help understand how and why fish populations respond to fragmentation of seagrass habitats. The question is complex because increased fragmentation in seagrass beds decreases the amount and also the configuration of the habitat (one patch splits into many, patches become further apart, the amount of edge increases, etc). Previous work by the investigators in natural seagrass meadows provided evidence that fragmentation interacts with amount of habitat to influence the community dynamics of fishes in coastal marine landscapes. Specifically, fragmentation had no effect when the habitat was large, but had a negative effect when habitat was smaller. In this study, the investigators will build artificial seagrass habitat to use in a series of manipulative field experiments at an ambitious scale. The results will provide new, more specific information about how coastal fish community dynamics are affected by changes in overall amount and fragmentation of seagrass habitat, in concert with factors such as disturbance, larval dispersal, and wave energy. The project will support two early-career investigators, inform habitat conservation strategies for coastal management, and provide training opportunities for graduate and undergraduate students. The investigators plan to target students from underrepresented groups for the research opportunities.

Building on previous research in seagrass environments, this research will conduct a series of field experiments approach at novel, yet relevant scales, to test how habitat area and fragmentation affect fish diversity and productivity. Specifically, 15 by 15-m seagrass beds will be created using artificial seagrass units (ASUs) that control for within-patch-level (~1-10 m2) factors such as shoot density and length. The investigators will employ ASUs to manipulate total habitat area and the degree of fragmentation within seagrass beds in a temperate estuary in North Carolina. In year one, response of the fishes that colonize these landscapes will be measured as abundance, biomass, community structure, as well as taxonomic and functional diversity. Targeted ASU removals will then follow to determine species-specific responses to habitat disturbance. In year two, the landscape array and sampling regime will be doubled, and half of the landscapes will be seeded with post-larval fish of low dispersal ability to test whether pre- or post-recruitment processes drive landscape-scale patterns. In year three, the role of wave exposure (a natural driver of seagrass fragmentation) in mediating fish community response to landscape configuration will be tested by deploying ASU meadows across low and high energy environments.