File(s) | Type | Description | Action |
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aggregation_kin_vs_nonkin.csv (9.33 KB) | Comma Separated Values (.csv) | Primary data file for dataset 893150, version 1. | Download |
This dataset is part of an integrated series of experiments to study how dispersal affects the density and relatedness of neighbors, and how the density and relatedness of neighbors in turn affect fitness. Spatial aggregation at settlement in groups of marine bryozoan larvae (composed of kin and nonkin) was empirically estimated in shallow (less than 2 meters) seagrass habitats near the Florida State University Coastal and Marine Laboratory (FSUCML) in St. Teresa, Florida, USA (29° 54' N, 84° 30...
Show moreReproductive colonies of B. neritina were collected from the seagrass at Dog Island near the Florida State University Coastal and Marine Laboratory (FSUCML) in St. Teresa, Florida, USA (29° 54' N, 84° 30' W) from a depth of more than 1 meter on 17th June 2017. Colonies were kept in dark, aerated aquaria for two days. Each colony was then placed in its own glass bowl filled with 250 milliliters (mL) of seawater and then exposed to bright light to induce larval release. Larvae were then pipetted into new bowls with a 6 centimeter x 6 centimeter roughened acetate sheet floated on the surface so larvae would settle on the roughened underside. Roughened acetate sheets were held in aerated unfiltered seawater for 2 days prior to developing a biofilm to provide settlement cues. Glass bowls were randomly allocated to one of two treatments. One treatment consisted of larvae from the same maternal sibship (‘Sibs’, n = 13). The other treatment consisted of larvae where each larva was from a different maternal sibship (‘Non-sibs’, n = 13). The number of larvae placed in each glass bowl was haphazardly chosen, and settlement density ranged from 4 to 20 settlers per sheet in both treatments.
Burgess, S., Powell, J., Bueno, M. M. (2023) Aggregation kin versus nonkin experiments in marine bryozoans from shallow seagrass habitats in St. Teresa, Florida, USA in June 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-04-04 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.893150.1 [access date]
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