Table of Contents

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

This dataset is from a manipulative experiment investigating intracohort priority effects between two competing reef fishes (Thalassoma hardwicke and T. quinquevittatum). This particular dataset is descriptive, describing the size of individuals used within each experiment. For additional data, please see files listed in Related Datasets.

Related Datasets

• Geange_and_Stier_2009 Order of Arrival: https://www.bco-dmo.org/dataset/726744
• Geange_and_Stier_2009 Order of Arrival Size: https://www.bco-dmo.org/dataset/726781 (current page)
• Geange_and_Stier_2009 Order of Arrival Background Community: https://www.bco-dmo.org/dataset/726766

The study was conducted in the northern lagoon of Moorea, French Polynesia (17 30’S, 149 50’W), at the Gump Research Station between February and August 2007, using a grid of 28 live-coral patch reefs in water 2 to 4 meters deep.

This is raw data.

BCO-DMO Processing:

• added conventional header with dataset name, PI name, version date
• modified parameter names to conform with BCO-DMO naming conventions

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).