Coral disease time series highlight size-dependent risk and other drivers of white syndrome in a multi-species model
Greene, Austin, Donahue, Megan J., Caldwell, Jamie M., Heron, Scott F., Geiger, Erick, and Raymundo, Laurie J. (2020) Coral disease time series highlight size-dependent risk and other drivers of white syndrome in a multi-species model. Frontiers in Marine Science, 7. 601469.
|
PDF (Published Version)
- Published Version
Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
Coral diseases contribute to the decline of reef communities, but factors that lead to disease are difficult to detect. In the present study, we develop a multi-species model of colony-scale risk for the class of coral diseases referred to as White Syndromes, investigating the role of current or past conditions, including both environmental stressors and biological drivers at the colony and community scales. Investigating 7 years of coral survey data at five sites in Guam we identify multiple environmental and ecological associations with White Syndrome, including a negative relationship between short-term heat stress and White Syndrome occurrence, and strong evidence of increasing size-dependent White Syndrome risk across coral species. Our findings result in a generalized model used to predict colony-scale White Syndrome risk for multiple species, highlighting the value of long-term monitoring efforts to detect drivers of coral disease.
| Item ID: | 66588 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2296-7745 |
| Keywords: | coral, disease, management, modeling, predictive, White Syndrome |
| Copyright Information: | © 2020 Greene, Donahue, Caldwell, Heron, Geiger and Raymundo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Funders: | National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), Hawai'i Institute of Marine Biology (HIMB), School of Oceanography and Earth Science and Technology |
| Projects and Grants: | NOAA grant NA15NOS4820039, NASA Ecological Forecasting program grant NNX17AI21G, HIMB contribution #1831, SOEST contribution #11170 |
| Date Deposited: | 29 Apr 2021 00:27 |
| FoR Codes: | 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410402 Environmental assessment and monitoring @ 50% 51 PHYSICAL SCIENCES > 5103 Classical physics > 510399 Classical physics not elsewhere classified @ 50% |
| SEO Codes: | 18 ENVIRONMENTAL MANAGEMENT > 1805 Marine systems and management > 180501 Assessment and management of benthic marine ecosystems @ 100% |
| Downloads: |
Total: 777 Last 12 Months: 6 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |