Abstract The ecological distribution of coral species from shallow to mesophotic reefs is dependent on light, which varies drastically among local environments. Current definitions of mesophotic coral ecosystems primarily rely on a 30‐m recreational SCUBA boundary to define the upper limits of the community; however, this boundary does not consider local conditions and physiological adaptions of coral species. Using in situ benthic imagery and chlorophyll fluorescence measurements, we examined species distribution and community similarity, as well as photoacclimatization of two common depth‐generalist species (Montastraea cavernosaandPorites astreoides) across shallow to mesophotic reef zones at Little Cayman Island. Photoquadrat image analysis revealed a significant shift in coral species assemblages between 25 and 35 m, which was accompanied by a 30% drop in available surface light, suggesting light is a key driver of coral community composition. Patterns of photoacclimatization across depths differed significantly between the two coral species, with available surface light and the quantum yield of photochemistry in photosystem II found to be significant determinants of each species' abundance. These results provide valuable baseline data on coral community composition across a broad depth gradient in Little Cayman that can contribute to a growing body of evidence to set an upper boundary of mesophotic reefs based on light availability and photoacclimatization potential of depth‐generalist species.
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Mesophotic coral reef community structure: the constraints of imagery collected by unmanned vehicles
There is a critical need to quantify and monitor mesophotic coral reef community structure and function at multiple spatial and temporal scales. Because accessing these habitats is costly in terms of infrastructure and effort, often for a modest return in data, many investigators collect digital imagery using transect techniques from unmanned platforms. Specifically, remotely operated vehicles and autonomous underwater vehicles are used because they operate at deeper depths for extensive periods of time, can carry an array of oceanographic and imaging instruments, and can collect and archive extensive amounts of video and still imagery. However, substrate angle, camera angle, and vehicle position above the benthos creates varying degrees of error in the imagery due to parallax and geometric distortion. Photogrammetry conducted on 2D photographs from uncorrected 3D imagery can over- or under-estimate the percent cover, biomass estimates, and abundance of the benthic groups of interest. Here we illustrate these errors and emphasize the requirement for post-processing of imagery to ensure that these data can be used for valid quantitative ecological descriptions of mesophotic benthic communities in the future.
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- Award ID(s):
- 1632333
- PAR ID:
- 10374046
- Date Published:
- Journal Name:
- Marine Ecology Progress Series
- Volume:
- 663
- ISSN:
- 0171-8630
- Page Range / eLocation ID:
- 229 to 236
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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