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In a tsunami event human casualties and infrastructure damage are determined predominantly by seaquake intensity and offshore properties. On land, wave energy is attenuated by gravitation (elevation) and friction (land cover). Tree belts have been promoted as "bioshields" against wave impact. However, given the lack of quantitative evidence of their performance in such extreme events, tree belts have been criticized for creating a false sense of security. This study used 180 transects perpendicular to over 100 km on the west coast of Aceh, Indonesia to analyze the influence of coastal vegetation, particularly cultivated trees, on the impact of the 2004 tsunami. Satellite imagery; land cover maps; land use characteristics; stem diameter, height, and planting density; and a literature review were used to develop a land cover roughness coefficient accounting for the resistance offered by different land uses to the wave advance. Applying a spatial generalized linear mixed model, we found that while distance to coast was the dominant determinant of impact (casualties and infrastructure damage), the existing coastal vegetation in front of settlements also significantly reduced casualties by an average of 5%. In contrast, dense vegetation behind villages endangered human lives and increased structural damage. Debris carried by the backwash may have contributed to these dissimilar effects of land cover. For sustainable and effective coastal risk management, location of settlements is essential, while the protective potential of coastal vegetation, as determined by its spatial arrangement, should be regarded as an important livelihood provider rather than just as a bioshield.
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http://dx.doi.org/10.1073/pnas.1013516108 | DOI Listing |
Environ Res
August 2025
Consejo Nacional de Humanidades de Ciencias y Tecnologías (CONAHCYT), Mexico; Red de Biología Evolutiva, Instituto de Ecología, A. C., Xalapa, Veracruz, Mexico.
Marine heatwaves (MHWs) pose severe threats to coastal ecosystems. Fiddler crabs, key intertidal species in mangrove environments, are particularly vulnerable to MHWs in disturbed habitats, where vegetation degradation amplifies environmental stressors such as temperature and salinity. We conducted a biomarker-based assessment of the behavioral, physiological, and biochemical responses of fiddler crab species to MHWs in undisturbed and disturbed mangrove ecosystems.
View Article and Find Full Text PDFCamb Prism Coast Futur
March 2025
Ecoresolve, San Francisco, CA, USA.
Mangrove restoration efforts have been ongoing, but with varying levels of success, requiring spatial and temporal monitoring to better understand the stocks and drivers of success. Here, we used multi-spectral remote sensing and spatial regression techniques to examine mangrove distribution and restoration potential in the Vietnamese Southern Coastal (VSC) region from 1988 to 2023, an area where multiple episodes of mangrove restoration have been attempted over the past decades. Our results show that 51.
View Article and Find Full Text PDFCamb Prism Coast Futur
December 2024
MaREI Centre, Environmental Research Institute (ERI), University College Cork, P43 C573 Cork, Ireland.
Coastlines worldwide are coming under increasing pressure due to climate change and human activity. Data on shoreline change are essential for coastal managers and when no long-term monitoring programs are implemented and shoreline change is typically on the order of less than 1 m/yr., as observed in Ireland, aerial photography is the most valuable source of information.
View Article and Find Full Text PDFBMC Ecol Evol
August 2025
Department of Environmental Health, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia.
Mangrove ecosystems in Bedono Village, Demak Regency, Central Java, are seriously degraded due to aggressive coastal abrasion, extreme soil salinity (45‰-80‰), and failure of previous rehabilitation programmes. This study aims to assess the level of vulnerability of mangrove habitat and formulate an integrated rehabilitation strategy that includes ecological and institutional aspects. Data were collected through tidal analysis, measurement of sediment texture and soil salinity, identification of plankton and macrobenthos diversity, and analysis of mangrove species community structure.
View Article and Find Full Text PDFEnviron Monit Assess
August 2025
Center of Science, Technology and Health, Paraiba State of University, Araruna, Paraíba, 58233-000, Brazil.
Variations in land use and land cover changes (LULCC) serve as key indicators of both anthropogenic interventions and natural processes driving transformations on the Earth's surface. This work identified the causes of changes in LULCC through predictive modeling for curve number (CN) in regional scale, Paraíba, Brazil. A dynamic model (DINAMICA EGO) was used with input data from 2000 to 2010, calibrated for simulations of future LULC scenarios and a forecast of CN parameters for the entire area of the state.
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