Contributors | Affiliation | Role |
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Burgess, Scott | Florida State University (FSU) | Principal Investigator, Contact |
Bueno, Marília M. | Florida State University (FSU) | Scientist |
Powell, Jackson | Florida State University (FSU) | Student |
Heyl, Taylor | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset is part of an integrated series of experiments to study how dispersal affects the density and relatedness of neighbors in relation to fitness in a marine bryozoan. Spatial aggregation at settlement in the field was empirically estimated in shallow seagrass habitats near the Florida State University Coastal and Marine Laboratory (FSUCML) in St. Teresa, Florida, USA (29° 54' N, 84° 30' W). Six backing panels were suspended 1 meter below the surface of the floating boat dock at the FSUCML. Panels were separated by approximately 1 meter. On each panel, a roughened acetate sheet was attached on the underside (facing downwards). Each acetate sheet had a 15 x 15 centimeter square marked in the center of it (referred to as the settlement plate) and the number and spatial location of settlers within the square were recorded. Six settlement plates were deployed on six occasions, and four settlement plates were deployed on one occasion, between 8th May to 25th May 2017 (a total of 40 settlement plates. On each deployment, plates were in the water for three days. Upon retrieval, settlement plates were photographed in the laboratory in planar view with a ruler for scale. On two deployments, settlers on four settlement plates were also marked by drawing a circle around the settler and then re-deployed back into the water for another three days. After the additional three days, these settlement plates were photographed again and the location of new settlers was recorded.
BCO-DMO Processing Description:
- Adjusted field/parameter names to comply with BCO-DMO naming conventions
- Converted date columns to format (YYYY-MM-DD)
File |
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aggregation_in_the_field.csv (Comma Separated Values (.csv), 72.88 KB) MD5:f82f57048624177a13afdd445deee4ab Primary data file for dataset 893115, Version 1. |
Parameter | Description | Units |
D_Date | Date on which settlement plates were deployed | unitless |
R_Date | Date on which settlement plates were retrieved | unitless |
D_Group | Sequential number for each deployment group | unitless |
Plate_ID | Unique identifier for each settlement plate | unitless |
Deployment | 1 = settlement plates deployed for 3 days; 2 = settlement plates placed back into the water after 3 days and collected again after another 3 days (capturing larvae that settled between day 4 and 6) | unitless |
Point | Unique identifier for each settler | unitless |
Raw_X | The distance from the left side of the image | millimeters (mm) |
Raw_Y | The distance from the bottom side of the image | millimeters (mm) |
True_X | The distance from the left side of the focal settlement area | millimeters (mm) |
True_Y | The distance from the bottom side of the focal settlement area | millimeters (mm) |
NSF Award Abstract:
In marine systems, the production, dispersal, and recruitment of larvae are crucial processes that rebuild depleted adult stocks, facilitate changes in species geographic ranges, and modify the potential for adaptation under environmental stress. Traditionally, the tiny larvae of bottom-associated adults were thought to disperse far from their parents and from each other, making interactions among kin improbable. However, emerging evidence is challenging this view: larval dispersal does not always disrupt kin associations at settlement, and a large fraction of invertebrate diversity on the seafloor contains species in which most larvae disperse short distances. Limited dispersal increases the potential for interactions among kin, which has important consequences for individual fitness across many generations, and therefore the productivity of populations and the potential for adaptation. But when these consequences occur, and how exactly they manifest, remains largely unexplained. The key challenge now is to explain and predict when kin associations are likely to occur, and when they are likely to have positive or negative ecological consequences. Therefore, the key questions addressed by this research are: 1) how and when do kin associations arise and persist, and 2) what are the consequences of living with kin for survival, growth, and reproduction. This concept-driven research combines genomic approaches with experimental approaches in lab and field settings using an experimentally-tractable and representative invertebrate species. The project trains and mentors PhD students and a postdoctoral scholar at Florida State University (FSU). Field and laboratory activities are developed and incorporated into K–12 education programs and outreach opportunities at FSU.
The spatial proximity of relatives has fundamentally important consequences at multiple levels of biological organization. These consequences are likely to be particularly important in a large range of benthic marine systems, where competition, facilitation, and mating depend strongly on the proximity and number of neighbors. However, explaining and predicting the occurrence, magnitude, and direction of such effects remains challenging. Emerging evidence suggest that the ecological consequences of kin structure are unlikely to have a straight-forward relationship with dispersal potential. Therefore, it is crucial to discover new reasons for when kinship structure occurs and why it could have positive, negative, or neutral ecological consequences. This research aims to provide a new understanding of how dispersal and post-settlement processes generate spatial kin structure, how population density and relatedness influence post-settlement fitness, and how the relatedness of mating partners influences the number and fitness of their offspring (inbreeding and outbreeding). The research combines genomic approaches, experimental progeny arrays, and manipulative experiments in field and lab settings to test several hypotheses that are broadly applicable across species. By focusing on an experimentally tractable species to test broadly applicable hypotheses, the project achieves generality and a level of integration that has been difficult to achieve in previous work.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |