Human- and climate-driven shoreline changes on a remote mountainous tropical Pacific Island: Tubuai, French Polynesia

Salmon, Camille; Duvat, Virginie; Laurent, Victoire

doi:10.1016/j.ancene.2019.100191

Cited by 17 publications

(5 citation statements)

References 37 publications

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“…Studies such as Luijendijk et al [24] and Vos et al [25] have employed the third indicator. Studies such as Pollard et al [26] and Salmon et al [27] have also utilized a combination of the three indicators.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection

2022

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The world has a long record of shoreline and related erosion problems due to the impacts of climate change/variability in sea level rise. This has made coastal systems and large inland water environments vulnerable, thereby activating research concern globally. This study is a bibliometric analysis of the global scientific production of data sources and tools for shoreline change analysis and detection. The bibliometric mapping method (bibliometric R and VOSviewer package) was utilized to analyze 1578 scientific documents (1968–2022) retrieved from Scopus and Web of Science databases. There is a chance that in the selection process one or more important scientific papers might be omitted due to the selection criteria. Thus, there could be a bias in the present results due to the search criteria here employed. The results revealed that the U.S.A. is the country with the most scientific production (16.9%) on the subject. Again, more country collaborations exist among the developed countries compared with the developing countries. The results further revealed that tools for shoreline change analysis have changed from a simple beach transect (0.1%) to the utilization of geospatial tools such as DSAS (14.6%), ArcGIS/ArcMap (13.8%), and, currently, machine learning (5.1%). Considering the benefits of these geospatial tools, and machine learning in particular, more utilization is essential to the continuous growth of the field. Found research gaps were mostly addressed by the researchers themselves or addressed in other studies, while others have still not been addressed, especially the ones emerged from the recent work. For instance, the one on insights for reef restoration projects focused on erosion mitigation and designing artificial reefs in microtidal sandy beaches.

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Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection

2022

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“…However, with the exception of a limited number of studies (e.g. Salmon et al, 2019), the role of anthropogenic factors in driving TCs' morphological impacts on small tropical islands was paid little attention to date. In fact, previous studies mostly emphasized the multi-decadal impacts of human activities on shoreline change, including the impacts of aggregate mining, dredging in reef flats and the construction of coastal defence structures (Bush, 1991;Cambers, 2009;Biribo and Woodroffe, 2013;Mann and Westphal, 2014;McLean and Kench, 2015;Aslam and Kench, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessing the impacts of shoreline hardening on beach response to hurricanes: Saint-Barthélemy, Lesser Antilles

Pillet

Duvat

Krien

et al. 2019

Ocean & Coastal Management

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“…This method is done to find out the extent of differences that are different from abrasion and accretion (Ozturk & Sesli, 2015). Whereas to find out the level of abrasion and accretion, transects that are perpendicular to the deepest coastline are used using the Digital Shoreline Analysis System (DSAS) method (Esmail et al, 2019;Gibson 2006;Salmon et al, 2019).…”

Section: Shoreline Changesmentioning

confidence: 99%

Shoreline Change Dynamics using Digital Shoreline Analysis in Cemara Besar Island

Ramdhan

Yulius

Kholik

2020

segara

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This paper will describe a study to find out the shoreline changes that occurred on Cemara Besar Island along with the accretion and abrasion. Data taken from the images was obtained through google earth as a result of radiometry and geometry correction from Landsat satellites in the last 5 years. Wind data is obtained from ecmwf interm every season for 5 years. Analysis of shoreline changes was carried out using the DSAS (Digital Shoreline Analysis) method and analyzed by wind and sea wave factors in each season. The results of the analysis obtained LRR and EPR values for 5 years, the extent of changes in island land mass, the value of Hs and Ts from the results of wave forecasting using wind data. To simplify the analysis, Cemara Besar Island is divided into 9 segments based on variations in LRR values. The results show that in general Cemara Besar Island have very high accretion in segments A, B and E with an average of 3.61 m and very high abrasion occurred in segment F with an average of -1.01 m. Abrasion occurs with the greatest speed of change in segment A with an average of 4.64 m/year and the largest accretion rate in segment F with an average of -1.21791 m/year. Analysis of oceanographic factors through wave forecasting shows that in the west and transition I season, waves occur with Hs 1.21 m, greater than the eastern season and transition II season with Hs 0.91 m. wind direction from north dominant direction 377.50 in west season and transition I, and from east direction 67,25 in east season and transition I season. Direction of wind blowing influences wave propagation and direction of wave coming towards shore which affects sediment transport which produces accretion and abrasion on the Cemara Besar Island.

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Human- and climate-driven shoreline changes on a remote mountainous tropical Pacific Island: Tubuai, French Polynesia

Cited by 17 publications

References 37 publications

Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection

Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection

Assessing the impacts of shoreline hardening on beach response to hurricanes: Saint-Barthélemy, Lesser Antilles

Shoreline Change Dynamics using Digital Shoreline Analysis in Cemara Besar Island

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