Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
• Data Files
• Related Publications
• Parameters
• Deployments
• Project Information
• Funding

This dataset is from a manipulative experiment to investigate how nudibranchs and sea hares alter cyanobaterica production through a trophic cascade. This particular dataset focuses on how the size of sea hares effect predation risk at the Gump Biological Research Station. For additional data, please see files listed in Related Datasets.

Related Dataset

• Geange_and_Stier_2010 Charismatic Microfauna Functional Response: https://www.bco-dmo.org/dataset/726813
• Geange_and_Stier_2010 Charismatic Microfauna Sea Hare Size: https://www.bco-dmo.org/dataset/726832 (current page)
• Geange_and_Stier_2010 Charismatic Microfauna Trophic Cascade: https://www.bco-dmo.org/dataset/726851

All experiments were conducted in plastic containers (190 mm x 190 mm x 90 mm; W x L x H). To allow the exchange of fresh seawater,  approx. 80% of the surface area of the lids, and two opposing sides of containers were cut away and covered with 0.5 mm mesh screening. Containers were placed within large (2,670 l) outdoor flow-through seawater tanks (10 containers per tank). In each experiment, sea hares (Stylocheilus striatus), nudibranchs (Gymnodoris ceylonica), and cyanobacteria (Lyngbya spp.) were collected from the field. Prior to experiments, nudibranchs were starved for 3 days, and cyanobacteria were rinsed with filtered seawater, which removed associated flora or fauna.

Using a fully factorial design, the presence of nudibranchs (one individual present [mean length 40.5 mm ±  9.4 SD] vs. absent) and the size of sea hares (small [mean length 20.3 mm ±  1.98 SD]; medium [mean length 32.9 mm ± 2.5 SD]; or large [mean length 61.7 mm ±  5.4 SD]) were manipulated. The six treatments were randomly assigned to 30 containers, each containing a * 75 g tuft of cyanobacteria and 10 sea hares. Survival of sea hares was recorded after 15 h.

BCO-DMO Processing:

• added conventional header with dataset name, PI name, version date
• modified parameter names to conform with BCO-DMO naming conventions
• date converted from dd-Mon-yy (eg, 8-May-08) to yyyymmdd (eg. 20080508)

Description from NSF award abstract:
Ecologists have long been interested in the factors that drive spatial and temporal variability in population density and structure. In marine reef systems, attention has focused on the role of settlement-the transition of pelagic larvae to a benthic stage-and on density-dependent processes affecting recently settled juveniles. Recent data suggest that co-variance in settlement and subsequent density-dependent survival can obscure the patterns of density dependence at larger scales, a phenomenon called cryptic density dependence. This research will explore the mechanisms that underlie the spatial covariance of settlement and site quality - a process that has received little attention in the standard paradigm. These mechanistic studies of cryptic density dependence will facilitate the development of new frameworks for fish population dynamics that incorporate larval ecology, habitat quality, density dependence, life history, and the patterns and implications of spatial covariance among these factors. More generally, the work provides a specific empirical context, and a general theoretical treatment, of cryptic heterogeneity (hidden individual variation in demographic rates).

Note: Drs. Craig W. Osenberg and Ben Bolker were at the University of Florida at the time the NSF award was granted. Dr. Osenberg moved to the University of Georgia during the summer of 2014 (current contact information). Dr. Bolker moved to McMaster University in 2010 (current contact information).