Stony Coral Tissue Loss Disease and Other Diseases Affect Adults and Recruits of Major Reef Builders at Different Spatial Scales in the Dominican Republic

Monitoring programs can help understand coral disease dynamics. Here, we present results from a national program in the Dominican Republic (DR) aimed at evaluating coral diseases 3 times a year following a nested spatial design. Prevalence of coral diseases in DR varied from sites to regions, suggesting that disease dynamics can be driven by local processes and/or across larger spatial scales. Three diseases were common: Dark Spot (DSD), Yellow Band (YBD) and Stony Coral Tissue Loss Disease (SCTLD). DSD and YBD were more prevalent across the western coast (north and south), whereas SCTLD was restricted for the study period to the northern coast. SCTLD has become endemic in the northwestern coast, epizootic in the northeastern, and absent in other sites across DR. SCTLD prevalence in the northwest was below 10% across sites, whereas in the northeast it varied from 2.13±3.69% (mean± sd) to 38.7±13.55% in Galeras and from 1.9±0.99% to 38.5±19.8% in Samaná. Over 10 coral species were affected by SCTLD in DR, with Pseudodiploria spp, Dendrogyra cylindrus, Eusmilia fastigiata, Siderastrea siderea, Montastraea cavernosa and Meandrina spp, being the most susceptible. We observed SCTLD affecting recruits and juvenile corals with 5% prevalence on average. Furthermore, we observed Oreaster reticulatus climbing on 1% healthy and 27% SCTLD P. strigosa colonies in Samaná. We conclude that SCTLD is a serious problem in DR, producing rapid loss of coral cover of major reef builders that are locally used for propagation efforts. This monitoring plan will provide future insights to design more effective disease responses

A photographic data set of reef and coral communities across Venezuela

This dataset contains 2850 photographs of the seafloor in coral communities from Venezuela that were taken during 2017 and 2018. We used a hierarchical experimental design with four random factors representing four different spatial scales: (1) region (hundreds of kilometers), (2) localities (tens of kilometers), (2) reef sites (hundreds of meters) and (3) transects (a couple meters) across the Venezuelan coast. At each site, four 30-m transects were deployed parallel to the coastline, and 15 pictures were taken every other meter at each transect, containing an area of at least 80 × 90cm with enough resolution to identify benthic groups. This dataset covers spatial scales from a few meters to hundreds of kilometers; marine protected areas, and non-protected areas; coastal zones, continental and oceanic islands. These images have the potential to be further used for training researchers in benthic organisms identification, and training artificial intelligence classification algorithms. Also, they represent and updated baseline to perform spatial and temporal comparisons in Venezuela or further studies involving multiple spatial scales in the region