Contributors | Affiliation | Role |
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Ajemian, Matthew | Florida Atlantic University (FAU) | Principal Investigator, Contact |
Hampton, Cecilia Marie | Florida Atlantic University (FAU) | Student |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Day trips aboard a small fieldwork boat in Harrington Sound, Bermuda, from the Bermuda Aquarium Museum and Zoo dock, during October, 2022.
We dived on multiple locations in Harrington Sound and Flatts inlet using teams of 2 or 3 divers. Following Ajemian et al. (2012), divers excavated 0.25 m^2 quadrats that were placed randomly at three locations along a 25 m long transect tape. Sediments were excavated by hand to a depth of approximately 15 cm, with all invertebrates placed into 8 mm mesh bags.
Samples were sorted, measured, and identified at the surface.
* Added seconds (:00) to fields Time_In_ADT and Time_Out_ADT in order for the fields to be standardized
Parameter | Description | Units |
Site_Name | Name of nearest landmark | unitless |
Date | Date of the sampling event in MM/DD/YYYY | unitless |
Time_In_ADT | Sampling start time in Local Time (Atlantic Daylight Time) | unitless |
Time_Out_ADT | Sampling end time in Local Time (Atlantic Daylight Time) | unitless |
Latitude | latitude of the sampling site in decimal degrees | decimal degrees |
Longitude | longitude of the sampling site in decimal degrees | decimal degrees |
Excavation_ID | Identifying number of the excavation, which increases linearly from the start of the project | unitless |
Dist_Along_Transect_m | Location along a 25-meter transect at which the excavation was completed | meters (m) |
Species_Name | Species name, scientific | unitless |
Common_Name | Species name, common | unitless |
Length_mm | Shell length to the nearest millimeter | millimeter (mm) |
Height_mm | Shell height to the nearest millimeter | millimeter (mm) |
Depth_mm | Shell depth to the nearest millimeter | millimeter (mm) |
Aperture_mm | Shell aperture (only done for gastropods) to the nearest millimeter | millimeter (mm) |
Siphon_Channel_Aperture_mm | Aperture of siphonal canal (only done for gastropods) to the nearest millimeter | millimeter (mm) |
Depth_ft | Depth of the sampling site in feet as measured by dive computers | feet (ft) |
ISO_DateTime_UT_In | Sampling start datetime in UTC timezone and in ISO format | unitless |
ISO_DateTime_UTC_Out | Sampling end datetime in UTC timezone and in ISO format | unitless |
NSF Award Abstract:
Shellfish (mollusks, crustaceans, etc.) are facing unprecedented pressures under global climate change, which is threatening the variety of ecosystem services these animals provide to coastal communities. While much research has been dedicated to understanding how changing ocean conditions can influence shellfish development, far less has explored the potential impacts from increasing populations of large, shell-crushing predators (i.e., rays, turtles, etc.) that are experiencing poleward expansions of their ranges. This knowledge gap is likely due to the challenges of working with these mobile species, which require novel technology to track their dynamic distribution and thus foraging effects on shellfish communities. This project will build fundamental knowledge on marine habitats susceptible to predation from large mobile predators in order to ensure a sustainable future for shellfish species. Further, the work will provide guidance to costly shellfish restoration programs that are otherwise “flying blind” with respect to predation risk. The project will have local, regional, and global educational dimensions. Firstly, this project will strengthen FAU’s graduate programs by supporting a graduate student and providing a platform for the PI to develop a new graduate course, which will be offered and evaluated twice throughout the award period. Additionally, numerous undergraduate summer interns and middle-high school students will be recruited to interact with the PI via immersive, hands-on field excursions. Lastly, the fascination of the general public and students with these charismatic animals and the project’s tangible technological components will facilitate developing an interactive “Audio Waves” exhibit at a local outreach center, which will be evaluated several times during the project and slated for permanent display.
Our scientific understanding of the ecological role of large mobile durophages (i.e., shell-crushing predators) is limited due to challenges presented by the elusive nature of these species. These shortcomings hinder our scientific understanding of their role in benthic community dynamics. Filling such knowledge gaps requires novel approaches that can detect and classify predator-prey interactions in situ. Using multiple large predator models (rays, sea turtles, fish, and crabs), the project will: 1) capture and characterize predator feeding (shell-crushing) sounds and shell fragmentation patterns, 2) understand in situ detection constraints of the predation signal within the context of natural underwater noise using simulations, and 3) quantify the distribution of predator foraging impacts across two model seascapes in Bermuda and Florida via integration of habitat- and individual-based (animal tags) passive acoustics. Detection and classification (by both predator and prey) will be completed using novel application of machine-learning techniques, which will be used to automate predation event extraction from extensive data archives. Recording equipment will be strategically distributed across seascapes to permit a multi-scale understanding of durophagy and testing of theoretical models of predation (e.g., optimal/central place foraging). Long-term monitoring will also provide an opportunity to assess the role of environmental/oceanographic variables in driving these interactions. Consequently, this work will fill a large knowledge gap in the dynamics of marine food webs.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |