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Abstract
The Arabian Peninsula accounts for approximately 6% of the world’s coral reefs. Some thrive in extreme environments of temperature and salinity. Using 51 Autonomous Reef Monitoring Structure (ARMS), a standardized non-destructive monitoring device, we investigated the spatial patterns of coral reef cryptobenthic diversity in four ecoregions around the Arabian Peninsula and analyzed how geographical and/or environmental drivers shape those patterns. The mitochondrial cytochrome c oxidase subunit I (COI) gene was used to identify Amplicon Sequence Variants and assign taxonomy of the cryptobenthic organisms collected from the sessile and mobile fractions of each ARMS. Cryptobenthic communities sampled from the two ecoregions in the Red Sea showed to be more diverse than those inhabiting the Arabian (Persian) Gulf and the Gulf of Oman. Geographic distance revealed a stronger relationship with beta diversity in the Mantel partial correlation than environmental distance. However, the two mobile fractions (106–500 µm and 500–2000 µm) also had a significant correlation between environmental distance and beta diversity. In our study, dispersal limitations explained the beta diversity patterns in the selected reefs, supporting the neutral theory of ecology. Still, increasing differences in environmental variables (environmental filtering) also had an effect on the distribution patterns of assemblages inhabiting reefs within short geographic distances. The influence of geographical distance in the cryptofauna assemblages makes these relevant, yet usually ignored, communities in reef functioning vulnerable to large scale coastal development and should be considered in ecosystem management of such projects.
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1 King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Kingdom of Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090)
2 King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Kingdom of Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090); Cawthron Institute, Coastal and Freshwater Group, Nelson, New Zealand (GRID:grid.418703.9) (ISNI:0000 0001 0740 4700)
3 King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Kingdom of Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090); University of Konstanz, Department of Biology, Konstanz, Germany (GRID:grid.9811.1) (ISNI:0000 0001 0658 7699)
4 King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Kingdom of Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090); University of Washington, Cooperative Institute for Climate, Ocean, and Ecosystem Studies, Seattle, USA (GRID:grid.34477.33) (ISNI:0000 0001 2298 6657)
5 King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Kingdom of Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090); The University of Waikato, School of Science, Hamilton, New Zealand (GRID:grid.49481.30) (ISNI:0000 0004 0408 3579)
6 Environmental Protection, Saudi Aramco, Dhahran, Kingdom of Saudi Arabia (GRID:grid.454873.9) (ISNI:0000 0000 9113 8494)
7 King Fahd University of Petroleum and Minerals, Center for Environment & Marine Studies, Research Institute, Dhahran, Kingdom of Saudi Arabia (GRID:grid.412135.0) (ISNI:0000 0001 1091 0356); National Center for Wildlife, Riyadh, Saudi Arabia (GRID:grid.412135.0)
8 Sultan Qaboos University, Muscat, Oman (GRID:grid.412846.d) (ISNI:0000 0001 0726 9430); University of Tasmania, Institute for Marine and Antarctic Studies, Hobart, Australia (GRID:grid.1009.8) (ISNI:0000 0004 1936 826X)
9 King Fahd University of Petroleum and Minerals, Center for Environment & Marine Studies, Research Institute, Dhahran, Kingdom of Saudi Arabia (GRID:grid.412135.0) (ISNI:0000 0001 1091 0356); Ministry of Environment, Water and Agriculture, Riyadh, Saudi Arabia (GRID:grid.412135.0)