Contributors | Affiliation | Role |
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Fodrie, F. Joel | University of North Carolina at Chapel Hill (UNC-Chapel Hill-IMS) | Principal Investigator |
Yeager, Lauren | University of Texas - Marine Science Institute (UTMSI) | Co-Principal Investigator |
Lopazanski, Cori | University of North Carolina at Chapel Hill (UNC-Chapel Hill-IMS) | Scientist |
Poray, Abigail K. | University of North Carolina at Chapel Hill (UNC-Chapel Hill-IMS) | Scientist |
Yarnall, Amy | University of North Carolina at Chapel Hill (UNC-Chapel Hill-IMS) | Scientist, Contact |
Heyl, Taylor | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
In order to investigate the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, Artificial seagrass unit (ASU) landscapes were designed and deployed at a scale relevant to habitat fidelity of common fish and macroinvertebrates (days to weeks) in a temperate study system on the Oscar Shoal and an adjacent unnamed shoal (34°42′20" N to 34°41′60" N, 76°36′ 15" W to 76°35′17" W) in Back Sound, NC, USA during the summer of 2018. Both shoals were shallow (less than 0.5-meter depth at low tide) and historically supported expansive, ephemeral seagrass meadows (Peterson et al., 2001) that have been absent over the last decade. During 2018, these shoals had large expanses of sandy area speckled with small patches of seagrass (which were avoided during landscape siting) composed of a mixture of eelgrass, Zostera marina (Linnaeus 1753), and shoal grass, Halodule wrightii (Ascherson 1868) (Yeager et al., 2016). Both shoals were adjacent to deep boating channels between two large salt marsh complexes to the north (North River Marsh) and south (Middle Marsh).
The habitat features of ASUs have the potential to be modified by sediment burial or scouring after installation. Therefore, in July and September 2018, fine-scale habitat complexity metrics, including ASU canopy height and epiphyte biomass, were sampled along a transect from the edge to the center of the largest patch in each landscape. Along each transect, five ribbon clippings were taken per ASU and an additional five clippings were taken on the edge ASU, within 0.5 meters of the ASU-matrix interface. The number of ASUs sampled per landscape [mean of 6.81 ± 3.24 SD] differed based on percent cover and configuration. Each ASU ribbon was haphazardly selected and clipped at the sediment surface, then measured to the approximate above-sediment landscape canopy height. In the lab, epiphytes were scraped off each side of the ribbon, dried for 12 hours at 60 degrees C, then burned for 4 hours at 500 degrees C to determine ash content (Peterson and Heck, 2001). Ash-free dry epiphyte biomass (hereafter "epiphyte biomass") was calculated as dry weight minus ash weight, then divided by the surface area of the ribbon to obtain standardized epiphyte biomass (milligrams per square centimeter).
Known Issues:
Instrumental error in mass measurements results in some samples having negative weights when tin weights are subtracted from the dry weight or ash weight.
Several samples were lost partway through processing. A small number of sample labels were lost therefore the site from which they came is unknown. There is one set of samples that came from site 60 percent-0.59, but it is unknown which site replicate they came from (i.e., A or B).
All data were entered electronically into an Excel spreadsheet.
BCO-DMO Processing Description:
- Added "Latitude" and "Longitude" columns and rounded to three decimal places
- Converted date columns to format: YYYY-MM-DD
- Removed "%" symbol from data cells
File |
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asu_frag_landscape_complexity.csv (Comma Separated Values (.csv), 139.29 KB) MD5:ef2d397bbc9525a2a7e66bbcdecab147 Primary data file for dataset 891652, version 1. |
Parameter | Description | Units |
Site_ID | Artificial seagrass unit (ASU) landscape name (Percent cover value-Percolation probability value) | unitless |
Latitude | Latitude North (South is negative) of sampling site | decimal degrees |
Longitude | Longitude East (West is negative) of sampling site | decimal degrees |
Per_cov | Percent cover of ASUs in 234 square meter landscape footprint (10, 22.5, 35, 47.5, 60) | percent (%) |
Frag | ASU landscape fragmentation per se indexed by percolation probability (0.1, 0.225, 0.35, 0.475, 0.59) | unitless |
Cell_coord | Cell coordinates designate a grid position within the ASU landscape. Each landscape was designed as a grid of 15 x 15 cells, each of which may or may not be occupied by an ASU. Landscape cell coordinates are identified by C (column; out of 15) number and R (row; out of 15) number. | unitless |
Date_collected | Date of ASU ribbon collection | unitless |
Height | Length of ASU ribbon | millimeters (mm) |
Date_scraping | Date of ASU ribbon epiphyte scraping | unitless |
Tin_wt | Weight of tin for epiphyte scraping | grams (g) |
Date_dried | Date of ASU ribbon epiphyte scraping was dried for 12 hours in oven at 60 degrees C | unitless |
Dry_wt | Weight of tin and epiphyte scraping after drying | grams (g) |
Date_burned | Date of ASU ribbon epiphyte scraping was burned for 4 hours in oven at 500 degrees Celsius | unitless |
Ash_wt | Weight of tin and epiphyte scraping after burning | grams (g) |
notes | Notes primarily on missing data | unitless |
Dataset-specific Instrument Name | |
Generic Instrument Name | Drying Oven |
Generic Instrument Description | a heated chamber for drying |
Dataset-specific Instrument Name | Ohaus H-5276 |
Generic Instrument Name | scale |
Generic Instrument Description | An instrument used to measure weight or mass. |
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |