2017
DOI: 10.1016/j.ecss.2016.12.008
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Development of a coastal dune vulnerability index for Mediterranean ecosystems: A useful tool for coastal managers?

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Cited by 48 publications
(39 citation statements)
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“…DSS approaches include 'Community Vulnerability Assessment Tool' (CVAT), DINAS-coast, Dynamic Interactive Vulnerability Assessment (DIVA), Digital Shoreline Assessment System (DSAS) and vulnerability assessment [4]. Index-based techniques such as the Coastal Vulnerability Index (CVI) are also used widely across the world [28,[40][41][42][43][44][45][46][47][48][49][50] 'Integrated Valuation of Ecosystem Services and Tradeoffs' (InVEST) is an open source software model that has a wide range of models to analyze a range of coastal vulnerabilities, including social, geographical, biological and economic factors [27]. Indian coasts have been studied mostly through the use of CVI methods for physical assessments [51][52][53][54] most of these studies required a certain amount of field data for the evaluation, due to limitations in the available spatial and temporal satellite data resolution [55] Remote-sensing approaches evident in the existing literature range from air-born to space-borne data gathering techniques; however, coastal vulnerability studies along the Indian coast were mostly restricted to the use of earth observing space-borne sensors [56][57][58][59][60][61][62].…”
Section: Snapshot Of Coastal Vulnerability Methodologiesmentioning
confidence: 99%
“…DSS approaches include 'Community Vulnerability Assessment Tool' (CVAT), DINAS-coast, Dynamic Interactive Vulnerability Assessment (DIVA), Digital Shoreline Assessment System (DSAS) and vulnerability assessment [4]. Index-based techniques such as the Coastal Vulnerability Index (CVI) are also used widely across the world [28,[40][41][42][43][44][45][46][47][48][49][50] 'Integrated Valuation of Ecosystem Services and Tradeoffs' (InVEST) is an open source software model that has a wide range of models to analyze a range of coastal vulnerabilities, including social, geographical, biological and economic factors [27]. Indian coasts have been studied mostly through the use of CVI methods for physical assessments [51][52][53][54] most of these studies required a certain amount of field data for the evaluation, due to limitations in the available spatial and temporal satellite data resolution [55] Remote-sensing approaches evident in the existing literature range from air-born to space-borne data gathering techniques; however, coastal vulnerability studies along the Indian coast were mostly restricted to the use of earth observing space-borne sensors [56][57][58][59][60][61][62].…”
Section: Snapshot Of Coastal Vulnerability Methodologiesmentioning
confidence: 99%
“…At the initial stage, the formation of the dune is mainly driven by the availability of sediment and wind energy that enable sand accumulation and, therefore, determines the type and distribution of vegetation (primary vegetation). At a later stage, the vegetation gains relevance for growing and stabilizing the dune, trapping sand with leaves, branches, and roots (secondary and tertiary vegetation) [8,9]. Sediment distribution can be considered the result of the retention capacity of the dune environment and is due to a large number of factors, such as wind regimes, runoff, coastal current, wave energy, vegetation coverage, and coastal exploitation.…”
Section: Introductionmentioning
confidence: 99%
“…Bértola et al, 2013;López y Marcomini, 2011;López et al, 2016), generándose un desbalance en la movilidad natural del sedimento que provoca un retroceso de la costa y zonas más vulnerables a la erosión (Bértola et al, 2013). A nivel mundial, en las regiones litorales se relevan y monitorean datos para el estudio de la vulnerabilidad a la erosión, la cual es inversamente proporcional al ancho de la playa (Mwakumanya et al, 2009;Carranza-Edwards, 2010;Carranza-Edwards et al, 2015;Cuevas Jiménez et al, 2016), y se pueden establecer zonas potencialmente más expuestas a la erosión inducida, ya que el recurso playa está sumamente amenazado por la presión antrópica que conlleva cambios ambientales y consecuencias socioeconómicas (Finkl, 2004;Cendrero et al, 2005;Martínez et al, 2006;Martinez-Dueñas, 2010;Panareda Clopés y Boccio Serrano, 2008;López y Marcomini, 2011;Torruco Gómez et al, 2013;Carranza-Edwards, 2010;Carranza-Edwards et al, 2015;Cuevas Jiménez et al, 2016;Buosi et al, 2017;Ciccarelli et al, 2017;Martínez et al, 2017;de Andrés et al, 2018;García-Ayllón, 2018; Griggs y Patsch, 2018; entre otros). Considerando lo expuesto, el análisis geomorfológico cumple un rol decisivo para interpretar la relación entre la dinámica costera y la presión antrópica, y así solucionar riesgos en escala temporal y espacial, por lo que es plausible proponer estrategias de gestión que contemplen el equilibrio entre el sistema litoral natural, el ecosistema, el recurso playa y las comunidades urbanas.…”
Section: Discusión Y Conclusionesunclassified