This is an annotated list of the published papers and reports that have included REEF data. The list is in chronological order. Papers that are available for viewing in .pdf format are noted.
Also see the Projects page for links to additional reports.
This study analyzed species richness, distribution, and sighting frequency of selected reef fishes to describe species assemblage composition, abundance, and spatial distribution patterns within and among regions in the Florida Keys NMS. This report is the result of work being done on the biogeography of reef fishes by NOAA's Biogeography Office.
This is the first large scale trend analysis done using REEF data. The paper looked at 21 sites throughout the Florida Keys National Marine Sanctuary. Analysis methods were modified from those applied to the Breeding Bird Survey in order to detect sites with multi-species declines. A sub-set of sites were identified and potential management options were discussed. Click here to read the abstract. (FIXME)
This study analyzed spatial trends and correlations between habitat diversity and fish community, using REEF data from the Florida Keys that were overlaid onto benthic habitat maps using GIS. Click here to read the abstract. (FIXME)
The results of an AGRRA expedition to the Flower Garden Banks are summarized in this technical report. A total of 117 fish species were recorded during the expedition, and REEF surveys documented a new record for the banks, a sharptail eel.
As a result of REEF surveys, a new color phase of the smooth trunkfish was documented at the Flower Garden Banks. The occurrence of this golden morph is reported in this paper. For more information and to view a picture, visit http://www.flowergarden.nos.noaa.gov/trunk.html.
A poster presentation on the REEF/TNC Fish Survey Project with examples of three applications of data generated by the Project. These include evaluating the effect of marine protected areas, mapping species distribution, and applications in general assessment.
Data collected by expert observers were used to evaluate the effect of Sanctuary Preservation Areas in the Florida Keys NMS on fishery-targeted species. Frequency of occurrence of species such as snappers, groupers, and hogfish were greater in sites that had protection from harvesting.
In 1997, REEF surveyors discovered a colony of garden eels during survey dives in the Gulf of Mexico that didn't' look quite right to be the usual brown garden eel. After sending images and ultimately a specimen to Dr. John Randall, the mystery species was identified as a new species of conger eel, the yellow garden eel (Heteroconger luteolus). The description of the new species was published in 1999.
Chapters 2, 4, and 5 of this dissertation present data collected using the RDT. Chapter 2 presents the complete fish assemblage reported by RDT and Stationary Diver Technique (SDT; referred to in Bohnsack, 1996, as the SST) surveys over three years of semi-annual surveys of the Flower Gardens and Stetson Bank, in the northwest Gulf of Mexico. Chapter 4 examines the quality of fish census data generated by REEF nonexperts, and was published in the Journal of Gulf of Mexico Science (Pattengill-Semmens and Semmens, 1998). Chapter 5 provides discussion on the applications and reasons for choosing the RDT and the SDT for this project. A comparison between the abundance estimates of the two methods and the biases inherent in each is also given.
The quality of fish census data generated by REEF volunteers of various experience levels is examined and compared with data generated by experts. The similarity in species reported, the similarity in abundance category recorded, and the statistical power to detect change are used in the comparison. Species composition and structure is comparable between the skill levels. When sighted, most species are reported with similar abundance categories. The ability to detect change in many species is better for the nonexpert data, a result of higher survey effort for the nonexperts. Species that are cryptic or rare have low power (change had to be large before it could be detected) regardless of the skill level, but are generally better using expert data.