PERSPECTIVE article
Front. Mar. Sci.
Sec. Coastal Ocean Processes
Volume 12 - 2025 | doi: 10.3389/fmars.2025.1669885
This article is part of the Research TopicInnovative Approaches for Predicting the Impacts of Anthropogenic and Climate Stressors on Coastal Marine EcosystemsView all articles
Aiding sea turtle conservation through coastal management
Provisionally accepted- 1Department of Hydraulic Engineering, Delft University of Technology, Delft, Netherlands
- 2Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Aachen, Germany
- 3General Organization for Conservation of Coral Reefs and Turtles in the Red Sea, Jeddah, Saudi Arabia
- 4Department of Zoology, Nelson Mandela University, Gqeberha, South Africa
- 5Biosciences and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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Climate change and human activity pose increasing challenges to endangered sea turtles, which are key species in many marine ecosystems worldwide. Among these challenges are the flooding and erosion of nesting beaches. In this perspective, we argue that existing methods and tools from coastal science and management hold significant, yet underused, potential for sea turtle conservation. We introduce a stepwise framework for integrating sea turtle ecology and coastal management to address these coastal threats. The framework follows an Observe–Understand–Predict–Intervene cycle and links ecological thresholds, coastal processes, and management interventions across scales, from Regional Management Units (RMUs) to individual beaches. We illustrate how state-of-the-art monitoring, modeling, and nature-based solutions (NBS) can be embedded within this framework to inform when and how to intervene. Increased in-situ data collection and interdisciplinary collaboration will be critical to apply and refine this approach, thereby enhancing the long-term resilience of nesting habitats.
Keywords: Sea turtle conservation, Sea turtle beaches, coastal management, Nature-based solutions, sandy beaches, Coastalmonitoring, remote sensing, Coastal modeling
Received: 20 Jul 2025; Accepted: 29 Aug 2025.
Copyright: © 2025 Christiaanse, Reniers, Aarninkhof, Ostertag, Nel, Duarte and Antolínez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jakob C. Christiaanse, Department of Hydraulic Engineering, Delft University of Technology, Delft, Netherlands
Jose A. A. Antolínez, Department of Hydraulic Engineering, Delft University of Technology, Delft, Netherlands
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