The potential impact of the future mean sea level rise (SLR) on residence times in back-reef lagoons remains uncertain. This study employs a hydrodynamical model and a tracer model to investigate the repercussions of SLR on residence times. Two scenarios are considered: one with a growing fringing reef, maintaining a semi-closed lagoon, and the other where the fringing reef overflows due to SLR, facilitating direct cross-reef ocean water exchange. The results reveal a nuanced picture of how SLR-induced changes in fringing reef dynamics influence residence times. In the growing reef scenario, where the lagoon remains semi-closed, a decrease in residence time of less than 10% is projected under SLR scenarios. However, in the non-growing scenario with overflow, allowing direct cross-reef exchange, a substantial 20%–40% decrease in residence time compared to the present state is observed. The probability density distribution of residence times throughout the year exhibits significant differences between the two scenarios. Particularly, the non-growing reef case displays a higher probability of residence time less than 10 h. Seasonal variability in cross-reef exchange contributions is attributed to coastal monsoon winds. The onset of the summer monsoon introduces an inter-annual variability in the contribution of cross-reef exchange to lagoon-ocean water exchange. This finding has broader implications for similar coastal back-reef lagoon systems, offering insights into estimating future global changes in residence times. In summary, this study emphasises the pivotal role of SLR-induced reef changes in shaping the dynamics of lagoon-ocean water exchange. The intricate interplay between fringing reef growth and overflow under SLR scenarios significantly influences residence times, with potential implications for the broader understanding of coastal back-reef lagoon systems. The findings contribute valuable insights into the complex interactions between climate-induced sea level changes and coastal ecosystems, guiding future assessments of global residence time variations.
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