Identifying relatively intact areas within ecosystems and determining the conditions favoring their existence is necessary for effective management in the context of widespread environmental degradation. In this study, we used 3766 surveys of randomly selected sites in the United States and U.S. Territories to identify the correlates of sites categorized as “oases” (defined as sites with relatively high total coral cover). We used occupancy models to evaluate the influence of 10 environmental predictors on the probability that an area (21.2-km2 cell) would harbor coral oases defined at four spatial extents: cross-basin, basin, region, and subregion. Across all four spatial extents, oases were more likely to occur in habitats with high light attenuation. The influence of the other environmental predictors on the probability of oasis occurrence were less consistent and varied with the scale of observation. Oases were most likely in areas of low human population density, but this effect was evident only at the cross-basin and subregional extents. At the regional and subregional extents oases were more likely where sea-surface temperature was more variable, whereas at the larger spatial extents the opposite was true. By identifying the correlates of oasis occurrence, the model can inform the prioritization of reef areas for management. Areas with biophysical conditions that confer corals with physiological resilience, as well as limited human impacts, likely support coral reef oases across spatial extents. Our approach is widely applicable to the development of conservation strategies to protect biodiversity and ecosystems in an era of magnified human disturbance.
Citation Information
Publication Year | 2022 |
---|---|
Title | Scale dependence of coral reef oases and their environmental correlates |
DOI | 10.1002/eap.2651 |
Authors | Robin Elahi, Peter J. Edmunds, Ruth D. Gates, Ilsa B. Kuffner, Brian B. Barnes, Iliana Chollett, Travis A. Courtney, James R. Guest, Elizabeth A. Lenz, Lauren Toth, T. Shay Viehman, Ivor D. Williams |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Ecological Applications |
Index ID | 70234145 |
Record Source | USGS Publications Warehouse |
USGS Organization | St. Petersburg Coastal and Marine Science Center |
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