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11th ICRS Abstract book - Nova Southeastern University

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7-33<br />

Dynamics Of A Back Band Disease Outbreak At Pelorus Island On The Great<br />

Barrier Reef<br />

Yui SATO* 1 , David BOURNE 2 , Bette WILLIS 1<br />

1 School of Marine and Tropical Biology, and ARC Centre of Excellence for Coral Reef<br />

Studies, James Cook <strong>University</strong>, Townsville, Australia, 2 Australian Institute of Marine<br />

Scinece, Townsville, Australia<br />

Black band disease (BBD) is challenging the health of reef building corals worldwide and<br />

reaching outbreak proportions for the first recorded time at several sites on the Great<br />

Barrier Reef (GBR). Although abundance of BBD on the GBR is generally low, long<br />

term monitoring of infected coral populations is required to assess the potential<br />

consequences of the disease for this reef system. This study examined detailed dynamics<br />

of a BBD outbreak in plating Montipora species at Pelorus Island, located at<br />

approximately 18°33′N, 146°30′E, in the central section of the Great Barrier Reef<br />

Marine Park. Individual diseased colonies were tagged and monitored over 2 years within<br />

permanent quadrats, each of which was 10m x 10m. Abundance of BBD-infected<br />

colonies and linear progression rate of the BBD band across colonies were recorded<br />

approximately monthly. Temporal patterns in BBD abundance were striking and tightly<br />

correlated with seasonal changes in seawater temperature. Abundance was higher in the<br />

Austral summer (15 cases/100m2) than winter (0 case/100m2), and it was stable at low<br />

levels during cooler months. Similarly, progression rate of the BBD band was greater in<br />

summer (3.0 mm/day) than winter (0.5 mm/day). Temporal patterns in progression rate<br />

were positively correlated with seasonal patterns of seawater temperature and light levels.<br />

Results suggest that both water temperature and light incidence are environmental drivers<br />

of BBD activity. If seawater temperatures continue to rise with global warming, the<br />

consequences of BBD for host coral populations is likely to be severe, even in this wellmanaged<br />

coral reef system. Knowledge of seasonal variability of BBD prevalence and<br />

environmental drivers is essential to provide accurate assessment of reef health and to<br />

develop effective reef management.<br />

7-34<br />

Dynamics Of The Coral Disease White Plague; Insights From A Simulation Model<br />

Marilyn BRANDT* 1 , John MCMANUS 1<br />

1 Division of Marine Biology and Fisheries, Rosenstiel School of Marine and<br />

Atmospheric Science (RSMAS), <strong>University</strong> of Miami, Miami, FL<br />

Understanding the dynamics of coral diseases among the heterogeneous populations in<br />

which they act is critical for determining how the structure of reef communities has<br />

changed as a result of enzootic or epizootic levels of these important sources of mortality.<br />

This information can also form a basis for predicting the impact of disease in the near<br />

future. The work presented here combined field studies with the development and testing<br />

of a spatially-explicit, individual-based epizootiological computer model with the aim of<br />

providing a useful tool for exploring disease dynamics in reef communities of the past,<br />

present and future. This study focused on the disease white plague, a significant source of<br />

mortality on reef-building corals in the Caribbean. Field studies focused on the incidence<br />

and distribution of all sources of coral mortality, including white plague (type II) in situ,<br />

at Little Cayman Island (Cayman Islands, British West Indies). Results indicated that<br />

white plague was the most significant source of mortality during the monitoring time<br />

period, and that it is likely contributing to major structural changes. The simulation<br />

model was developed using this data, and results of model calibration indicated that white<br />

plague on these reefs is transmissible between colonies within a limited field and requires<br />

a yearly input from an outside source, and that host susceptibility to infection is low and<br />

likely not variable among species. Parameters describing the distribution and composition<br />

of the simulated coral population were then varied, and results showed a significant effect<br />

of colony density, aggregation, and mean size on the impact of disease. Scenario testing<br />

of various disease management strategies indicated that should local prevention measures<br />

be developed in the future, it is they, and not treatment, that will likely be the most<br />

effective in limiting the impact of disease.<br />

Oral Mini-Symposium 7: Diseases on Coral Reefs<br />

7-35<br />

Metapopulation Dynamics Of Coral Infectious Disease<br />

Susanne SOKOLOW* 1 , Patrick FOLEY 2 , Janet FOLEY 1 , Alan HASTINGS 1 , Laurie<br />

RICHARDSON 3<br />

1 <strong>University</strong> of California Davis, Davis, CA, 2 California State <strong>University</strong> Sacramento,<br />

Sacramento, CA, 3 Florida International <strong>University</strong>, Miami, FL<br />

Adaptation of epidemiological models to the study of marine diseases represents an<br />

underdeveloped field and a research priority for understanding and managing emerging diseases<br />

in the world’s oceans. Recent evidence suggests that metapopulation models may provide an<br />

appropriate framework for modeling coral populations at the regional scale, and we expand this<br />

approach to investigate the effects of infectious disease. Some key features that characterize<br />

many coral disease systems include: (1) coral reefs are generally patchy, (2) adult coral are<br />

predominantly sessile and new recruits represent the main mode of host dispersal to new<br />

patches, (3) the pathogens have a hypothesized reservoir which can move widely and<br />

independently of the hosts, and (4) environmental factors such as water temperature and<br />

seasonality may affect pathogen survival and transmission. Testable predictions emerge when<br />

considering coral disease in a metapopulation framework, including thresholds for regional<br />

epidemic and endemic disease dynamics. Model results are compared with an original coral<br />

disease dataset which spans a decade of patch-level monitoring for white plague type II (WPII)<br />

on coral in the Florida Keys, and some qualitative patterns predicted by the model are consistent<br />

with empirical evidence. By exploring a mechanistic model with minimal complexity, this<br />

research offers preliminary insight for the ecology and epidemiology of coral diseases on reefs,<br />

and allows critical evaluation of the long-term effects that disease pressure, environmental<br />

change, and management may have on coral health and persistence.<br />

7-36<br />

Applying Medical Geography To Identify Spatial Hotspots Of Coral Diseases<br />

Jennifer LENTZ* 1 , Andrew CURTIS 2,3 , Paul SAMMARCO 4 , Philippe MAYOR 5<br />

1 Oceanography & Coastal Sciences, Louisiana State <strong>University</strong>, Baton Rouge, LA, 2 Geography,<br />

Louisiana State <strong>University</strong>, Baton Rouge, LA, 3 Geography, <strong>University</strong> of California, Los<br />

Angeles, 4 Louisiana Universities Marine Consortium, Chauvin, LA, 5 Buck Island Reef National<br />

Monument, U.S. National Park Service, Christiansted, Virgin Islands (U.S.)<br />

Given the current world-wide decline in coral reef health, it is important to understand those<br />

factors contributing to, or directly causing, this decline, so that we can attempt to stabilize our<br />

reefs and hopefully restore some of what has been lost. The problem is highly complex, and<br />

requires the use of stringent multi-disciplinary analytical techniques. Here, we apply some of<br />

the methods of Medical Geography to the problem of coral disease; specifically those used to<br />

map and spatially analyze epidemics and general public health concerns to further our<br />

understanding of coral reef health. This study compares the results of several spatial analytical<br />

techniques applied to the same dataset. We used data regarding white-band diseased (WBD)<br />

Acropora palmata at Buck Island Reef National Monument, initially presented by Mayor et al’s<br />

2006 study. Overall, we found that the Disease Mapping and Analysis Program (DMAP) was<br />

the strongest of the spatial analyses performed, resulting in detailed maps of the rates of WBD<br />

clustering and Monte Carlo estimated areas of statistically significant (p

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