This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Mangrove Loss and Growing Coastal Flood Exposure in East Malaysia: A Multi-Decadal Analysis with Sea Level Rise Projections
Downloads
Authors
Abstract
Mangrove forests provide critical coastal flood protection, yet their ongoing loss in combination with sea level rise creates a compounding exposure dynamic that remains poorly quantified at sub-national scale across Southeast Asia. This study presents the first systematic, multi-decadal analysis of mangrove loss and coastal flood exposure change for the 10 km coastal buffer of East Malaysia (Sabah and Sarawak), covering 1996 to 2020 and projecting forward to 2050 under a structured scenario matrix. Drawing on five openly available global datasets — the Global Mangrove Watch v3.0, Copernicus GLO-30 digital elevation model, WorldPop 2020 population grid, GADM v4.1 administrative boundaries, and IPCC AR6 sea level projections — and a reproducible Python-based workflow, the study quantifies mangrove extent change, hydrologically-connected inundation zones at five elevation thresholds, flood exposure attributable to historical loss, and population exposure under six combined mangrove loss and sea level rise scenarios. Net mangrove loss of 46.34 km² (−1.14%) was recorded over the study period, masking a gross loss of 114.06 km². Four spatial hotspots were identified: the Rajang Delta, SW Sarawak coast, Menumbok Forest Reserve and Kinabatangan coast. Historical mangrove loss exposed an additional 43.79 to 52.14 km² of coastline to inundation, affecting approximately 10,200 to 12,730 people. Scenario projections to 2050 demonstrate that mangrove management trajectory exerts a substantially greater influence on future flood exposure than the choice of emissions scenario, with the spread across mangrove loss scenarios (~29 km², ~12,400 people) exceeding the SSP2-4.5 to SSP5-8.5 spread by more than an order of magnitude. These findings underscore the value of mangrove conservation as a near-term, nature-based coastal adaptation measure in the Indo-Pacific region.
DOI
https://doi.org/10.31223/X5MJ41
Subjects
Earth Sciences, Environmental Sciences, Environmental Studies, Geographic Information Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical and Environmental Geography, Remote Sensing
Keywords
Mangrove loss, coastal flood exposure, sea level rise, East Malaysia, nature-based adaptation, inundation modelling, blue carbon
Dates
Published: 2026-06-10 13:07
Last Updated: 2026-06-10 13:07
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
All derived geospatial datasets, tabular outputs, and analysis code supporting this study are openly available on Zenodo at https://doi.org/10.5281/zenodo.20620479 under a Creative Commons Attribution 4.0 International licence. Raw input datasets are publicly available from their respective providers: GMW v3.0 (https://www.globalmangrovewatch.org/), Copernicus DEM GLO-30 (https://doi.org/10.5270/ESA-c5d3d65), WorldPop (https://www.worldpop.org/), and GADM v4.1 (https://gadm.org/).
Metrics
Views: 36
Downloads: 1
There are no comments or no comments have been made public for this article.