Reef fish assemblages are structured by many factors like depth, habitat and zonation’s in marine protected areas (MPAs). These fish assemblages can be determined by different sampling methods and design. For instance, stereo Baited Remote Underwater Video (stereo-BRUV) allows for monitoring fishes at various depths (>40m) beyond the reach of conventianol diver-based methodologies. This is relevant in a way that fish diversity, biomass and species richness changes with depth. Furthermore, the spatial distribution and composition in fish assemblages can have a strong correlation with fine-scale habitat differences. However, fine-scale measurerements of habitats are rarely available for marine research, particularly for deeper (>40m) marine environments. Stereo-BRUV studies lacking this information prior of sampling reef fish assemblages had to rely upon hierarchical classifications of habitat. One of the aims of this study was to examine which habitat classification was most sensitive to the detection of small-scale changes in fish assemblages by sampling different habitats and depths (e.g, 15, 50 and 100 meters) in the Saba Marine Park (SMP) area. We compared three categorization methods of habitat commonly used in literature 1) two scale on “habitat”; low (sand) and high (reef) relief (Colton et al. 2010); 2) three scale on “relief”; low, medium and high relief (Watson et al. 2005) and 3) fine-scale consisting of 6 types of “habitat complexity” (Polunin et al. 1993). The “habitat complexity” category method produced less variance among fish populations’ mean within each habitat. This increased the probability of finding a significant difference between two fish populations’ mean, as smaller variations lowered the possibility of overlapping standard deviations. For this reason we found a significant interaction effect of zonations (fishing vs. no-fishing zone) within the habitat complexity category on fish biomass, density and species richness, in all depths within the SMP boundary (15 and 50m). This effect was not found when using the habitat or relief category. However, the differences among the habitat category methods were less significant on the statistical power of detecting those changes in fish biomass, density and species richness. Overall, habitat characteristics, such as sand bottom or low complexity in substrate structure, were associated with lower values of fish biomass, density and species richness. These values increased gradually with habitats containing more complex, reef-based structures. From the shallow (15m) to deeper (50 and 100m) areas the habitat complexity in terms of reef structures significantly declined. Along this depth gradient, the structure of reef fish assemblages changed from higher densities of herbivorous species at 15 meter depth and higher carnivorous species richness and densities found at 50 and 100 meters depth. Some species (within families of Lutjanidae and Serranidae), also important to fisheries, were distributed over the full depth range. Moreover, stereo-BRUV detected high densities of larger predatory species (Carcharhinus perezii, Ginglymostoma cirratum), especially at depths of 50 meters. The changes found in fish assemblages were less determined by the effect of the no-fishing zone. On the contrary, the mean fish biomass and density were higher in the zone without protection from fisheries, indicating that fishing pressure was low in the SMP. In conclusion, depth and finer-scale habitat complexity were the main drivers that structure reef fish assemblages. These results indicate that the chosen categories of habitat and depth have a significant effect on studying reef fish assemblages across different zones in the SMP.
Product of the Connectivity Working Group:
This brochure is a product from the Coral Reef Targeted Research & Capacity Building for Management (CRTR) Program’s Connectivity Working Group. One of six CRTR Working Groups, the activities of the Connectivity Working Group are managed on behalf of The University of Queensland through the United Nations University, Institute for Water, Environment and Health (UNU-INWEH).
Early in its planning of activities, the Connectivity Working Group undertook a critical review of the evidence for use of no-take fishery reserves as a management tool for coastal fisheries. The presumed fisheries value of no-take reserves depends explicitly on connectivity, and we saw this as both a useful review of the field and an effective way to delineate the most important issues with respect to connectivity science needed for MPA management. The article was published in Trends in Ecology and Evolution in 2005. We recognized at the time that the information we had brought together deserved to be made more widely available to coral reef and other coastal managers, and that an article in TREE was unlikely to be seen by many of them. This brochure, which will be available electronically and on paper, is the result.
The brochure is based on the following article:
Sale, P.F., Cowen, R.K., Danilowicz, B.S., Jones, G.P., Kritzer, J.P., Lindeman, K.C., Planes, S., Polunin, N.V.C., Russ, G.R., Sadovy, Y. J., and Steneck, R.S. 2005. Critical science gaps impede use of no-take fishery reserves. Trends in Ecology and Evolution, 20 (2): 74-80.