title: Evaluating patterns of a white-band disease (WBD) outbreak in Acropora palmata using spatial analysis: a comparison of transect and colony clustering.
abstract: BACKGROUND
  Despite being one of the first documented, there is little known of the causative agent or environmental stressors that promote white-band disease (WBD), a major disease of Caribbean Acropora palmata. Likewise, there is little known about the spatiality of outbreaks. We examined the spatial patterns of WBD during a 2004 outbreak at Buck Island Reef National Monument in the US Virgin Islands.
  
  
  RESULTS
  Ripley's K statistic was used to measure spatial dependence of WBD across scales. Localized clusters of WBD were identified using the DMAP spatial filtering technique. Statistics were calculated for colony- (number of A. palmata colonies with and without WBD within each transect) and transect-level (presence/absence of WBD within transects) data to evaluate differences in spatial patterns at each resolution of coral sampling. The Ripley's K plots suggest WBD does cluster within the study area, and approached statistical significance (p = 0.1) at spatial scales of 1100 m or less. Comparisons of DMAP results suggest the transect-level overestimated the prevalence and spatial extent of the outbreak. In contrast, more realistic prevalence estimates and spatial patterns were found by weighting each transect by the number of individual A. palmata colonies with and without WBD.
  
  
  CONCLUSIONS
  As the search for causation continues, surveillance and proper documentation of the spatial patterns may inform etiology, and at the same time assist reef managers in allocating resources to tracking the disease. Our results indicate that the spatial scale of data collected can drastically affect the calculation of prevalence and spatial distribution of WBD outbreaks. Specifically, we illustrate that higher resolution sampling resulted in more realistic disease estimates. This should assist in selecting appropriate sampling designs for future outbreak investigations. The spatial techniques used here can be used to facilitate other coral disease studies, as well as, improve reef conservation and management.
authors.affiliation: Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, Louisiana, United States of America. Jennifer.Lentz@gmail.com
authors.forename: Jennifer A
authors.initials: JA
authors.lastname: Lentz
authors.forename: Jason K
authors.initials: JK
authors.lastname: Blackburn
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Curtis
mesh_terms: D000820:Animal Diseases / Q000453:epidemiology*; D000818:Animals; D037421:Anthozoa / Q000382:microbiology*; D017691:Caribbean Region; D016000:Cluster Analysis; D004196:Disease Outbreaks; D005843:Geography