Using BRUVS to Characterize the Community of Sandy Shoal Habitats of the Mid-Atlantic Bight
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University of Delaware
Abstract
This study explores the biodiversity and community structure of two sandy
shoal habitats on the East Atlantic coast of the United States: Sandbridge (Virginia)
and Hens and Chickens (Delaware). Two different methodologies were used to
characterize the communities: Baited Remote Underwater Video Surveillance/Systems
(BRUVS) and longlines. We assess species relative abundance (MaxN) and diversity,
evenness, and richness using Shannon’s Diversity Index, Simpson’s Diversity Index,
Pielou’s Evenness, and species richness metrics. We then examine environmental
covariates such as water temperature, brightness, depth, distance from shore,
proximity to the closest estuary, and tidal stage at both sites to determine if the
environment drives differences in community composition. Generally, species
diversity and richness were greater at Sandbridge. However, we observed no
significant differences in biodiversity indices between the two locations, most likely
due to a small sample size of videos. Our findings also reveal significant differences in
environmental variables between the two shoals, particularly in brightness and the
distances from shore and the closest estuary. Brightness exhibited a positive linear
relationship with diversity indices and richness, suggesting that less turbid habitats
may support more complex communities. Distance to the closest estuary presented a
negative linear relationship with evenness, indicating that further proximity to the
estuary may maintain a more balanced distribution of species. These trends also
highlight that BRUVs are dependent on clear water conditions to effectively record
data. This study also touches on the significance of using multiple sampling
techniques to better assess marine compositions and diversity. Long-lining and
BRUVS yielded distinct species captures with minimal overlap, indicating different
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biases and strengths of each method. Water turbidity (brightness) limited species
detection and identification, particularly at Hens and Chickens, highlighting a
limitation of BRUVS in turbid waters. This study also suggests further research into
temporal variations, additional environmental factors, and enhancements to sampling
methods to improve biodiversity assessments.
