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Coastal habitat mapping is a potentially powerful enabling tool to inform the design of strategies and actions in coastal zone planning and management, biodiversity conservation and more recently for blue carbon accounting. Habitat mapping is typically carried out by experts in remote sensing and geographical information systems, and rarely integrates stakeholders' local ecological knowledge. To address a key knowledge gap in a previously unmapped coastal region of the Arabian Gulf, we applied a mixed-methods habitat mapping framework that integrates conventional remote sensing methods with shared knowledge from participatory mapping with local stakeholders. Using methodological pluralism, an accurate and cost-effective coastal habitat map was produced that had local relevance, facilitated knowledge exchange, considered socio-ecological factors, and incorporated spatial details that would have been absent or under-represented with conventional remote sensing methods. We demonstrate the relevance of the coastal habitat map as an enabler of actions that address multiple local and global sustainable development and biodiversity conservation policy targets for the Arabian Gulf coast of the United Arab Emirates. • Integrative, participatory and step-wise framework for coastal habitat mapping. • Integration of multiple data sources, including local ecological knowledge. • Mapping Arabian Gulf coastal habitats in the United Arab Emirates. • Efficient and cost-effective mapping approach for the Arabian Gulf coastal waters. [ABSTRACT FROM AUTHOR]

The United Arab Emirates (UAE) host valuable coastal and marine biodiversity that is subjected to multiple pressures under extreme conditions. To mitigate impacts on marine ecosystems, the UAE protects almost 12% of its Exclusive Economic Zone. This study mapped and validated the distribution of key coastal and marine habitats, species and critical areas for their life cycle in the Gulf area of the UAE. We identified gaps in the current protection of these ecological features and assessed the quality of the data used. The overall dataset showed good data quality, but deficiencies in information for the coastline of the north-western emirates. The existing protected areas are inadequate to safeguard key ecological features such as mangroves and coastal lagoons. This study offers a solid basis to understand the spatial distribution and protection of marine biodiversity in the UAE. This information should be considered for implementing effective conservation planning and ecosystem-based management. • Mapping species and habitats is necessary for effective ecosystem-based management. • We compiled data to map marine and coastal biodiversity distribution in the UAE. • Data quality assessment showed that data are sufficient to guide management. • Current MPA extension is insufficient to safeguard some habitats such as mangroves. • The information provided should be used in future conservation plans and management. [ABSTRACT FROM AUTHOR]

Shallow coastal lagoons are vital ecosystems for many aquatic species and understanding their biodiversity is essential. Very little is known about the distribution and abundance of globally threatened marine megafauna in coastal lagoons of the Arabian Gulf. This study combined underwater and aerial surveys to investigate the distributions and relative abundance of marine megafauna in a large lagoon. We identified 13 species of megafauna including sea turtles, sharks, and rays. Eleven of these are globally threatened according to the IUCN Red List of Threatened Species. The Critically Endangered Halavi guitarfish (Glaucostegus halavi), and the Endangered green turtle (Chelonia mydas) were the most frequently occurring species. Results demonstrate the value of combining aerial and underwater video surveys to obtain spatially comprehensive data on marine megafauna in shallow coastal lagoons. This new information emphasises the importance of Umm Al Quwain lagoon for biodiversity conservation to protect threatened marine species and their habitats., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The United Arab of Emirates (UAE) hosts valuable coastal and marine biodiversity, and oysters are one of the habitants of its marine ecosystem. Oysters play an essential role in the nearshore coasts where they work as an active filter. They filter nutrients, phytoplankton, sediments, heavy metals, and toxins out of the water, which improves the water quality. This is the first study that characterizes oyster bed habitats in the UAE by analyzing water quality parameters, polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs)and heavy metals in water, sediments and oyster samples collected from five locations along the coasts of Sharjah, Ajman, and Umm al Quwain. Oyster bed areas supported a diverse assemblage of benthic life including oysters, scallops, pen shells, hard corals, and macroalgae. Mobile species in these habitats included groupers, emperors, snappers, sea snakes, among others. The phytoplankton assemblages were dominated by diatoms, dinoflagellates, and small cryptophytes. Harmful diatom Pseudonitzschia was found in all locations. No detectable concentrations of PAHs and OCPs were reported in this study, and water quality parameters were within the acceptable levels for the region. On the other hand, water quality index was reported marginal, mostly due to the presence of higher than acceptable concentrations of chromium and mercury in all sites studied. Bioconcentration factors concluded that oysters were able to bioconcentrate metals such as arsenic, cadmium, chromium, and zinc, when compared to water. No detectable concentrations of lead and mercury were reported in oysters, suggesting higher depuration rates for those metals., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

There is scarce information on the current importance of oyster beds as fishing grounds in the United Arab Emirates (UAE). This study aims to understand the socio-economic value of oyster bed fisheries through questionnaire-based surveys with fishers. Of 106 Emirati fishers interviewed, 67 % use oyster beds due to the proximity to shore, better catch quality, and species abundance. Oyster bed fisheries are recreational and commercial, with handline and fish traps the most common used gears. They provide food for local consumption and cash income. All respondents noticed a fish abundance and size decrease throughout the last decade. Fishers suggest establishing marine protected areas and updating fishing regulations to improve fishing stock status. During the Covid-19 pandemic, oyster fisheries increased, highlighting the value of these fishing grounds for food availability. These fisheries support the local economy and heritage, and urgently need management to ensure the protection of these often-overlooked habitats., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Habitat mapping is essential for the management and conservation of coastal marine habitats. However, accurate and up-to-date habitat maps are rarely available for the marine realm. In this study, we mapped the coastal marine habitats of >400 km of coastline in the north-western United Arab Emirates (UAE) using a combination of data sources including remote sensing, extensive ground-truthing points, local expert knowledge and existing information. We delineated 17 habitats, including critical habitats for marine biodiversity such as coral reefs and mangroves, and previously unreported oyster beds and deep seagrasses. This innovative approach was able to produce a coastal marine habitat map with an overall accuracy of 77%. The approach allowed for the production of a spatial tool well-suited for the needs of environmental management and conservation in a previously data-deficient area of the United Arab Emirates., (Copyright © 2020 Elsevier Ltd. All rights reserved.)