Assessing multi-decadal shoreline change and future sea level projections to support coastal adaptation in Selangor, Malaysia

The accelerating impacts of climate change on coastal regions demand rigorous, data-driven assessments to inform effective adaptation strategies. A recent study evaluating shoreline dynamics along the Selangor coastline in Malaysia underscores this necessity, highlighting the complex interplay of natural processes and human influence. The research, utilizing a longitudinal analysis of Landsat imagery spanning three decades and employing the Digital Shoreline Analysis System (DSAS), provides a valuable baseline understanding of geomorphological stability in a critical tropical, mud-dominated environment. This work builds on the growing body of research attempting to translate climate data into actionable insights, as explored in articles such as From climate data to regulatory decisions: integrating climate AI into marine EIAs, which examines the integration of climate AI into marine Environmental Impact Assessments. The study's focus on a 250km stretch of coastline, combined with the application of the Geomorphological Stability Index (GSI), allows for a nuanced understanding of localized erosion hotspots and broader trends, a level of detail vital for targeted interventions. The observed discrepancies between End Point Rate (EPR) and Linear Regression Rate (LRR) metrics further emphasize the importance of employing multiple analytical approaches to capture the dynamic nature of coastal change.

The findings reveal a concerning picture: severe erosion hotspots, particularly near the Port Klang complex, and a projection of intensifying erosive trends by 2050. The GSI classification, indicating a significant portion of the shoreline as either highly stable/accreting or severely eroding, underscores the heterogeneity of coastal response. The study’s high framework sensitivity, validated against an independent hazard inventory, further strengthens the reliability of its projections. These projections align with broader concerns regarding the vulnerability of coastal ecosystems and human populations to climate change, a theme also addressed in Sandy littorals under threat: a comprehensive review of the impacts of climate change on plant-dominated components relevant to the Mediterranean littoral active zone, which highlights the impacts on plant-dominated coastal components. The Selangor study’s contribution lies in the spatially explicit, scenario-based projections that can directly inform coastal adaptation strategies. The use of IPCC AR6 sea level rise anomalies demonstrates a commitment to using the most current and validated climate data available, a crucial element for creating robust and reliable projections.

Beyond the immediate implications for Selangor, Malaysia, this research offers a methodological framework applicable to other mud-dominated tropical coastlines facing similar challenges. The integration of historical data, advanced geospatial techniques, and climate projections provides a robust approach to assessing coastal vulnerability and guiding adaptation planning. The development of the GSI, in particular, represents a valuable tool for coastal managers seeking to prioritize interventions and allocate resources effectively. The study also implicitly reinforces the importance of understanding the complex interactions between natural processes and anthropogenic activities – the engineered Port Klang complex clearly demonstrates how human infrastructure can exacerbate coastal erosion. Further research should focus on refining the GSI to incorporate additional variables, such as sediment transport dynamics and the impact of extreme weather events, to enhance its predictive capabilities. The calibration of these models, as discussed in Research on China’s green total factor productivity of aquaculture industry and its influencing factors, requires ongoing empirical validation and refinement.

Ultimately, this study exemplifies the critical role of ocean intelligence—integrated data ecosystems providing real-time and validated information—in supporting informed decision-making regarding coastal resilience. The actionable screening data generated by this research represents a significant step towards proactive adaptation in the face of accelerating climate change. As sea levels continue to rise and storm intensity increases, the ability to accurately predict and mitigate coastal erosion will be paramount. A crucial question moving forward is how these localized, high-resolution assessments can be scaled and integrated into national and regional coastal management frameworks to ensure equitable and effective adaptation across vulnerable communities.