scholarly journals Erosion of coastal foredunes : a review on the effect of dune vegetation

2017 ◽  
Author(s):  
Duncan Bryant ◽  
Mary Bryant ◽  
Alison Grzegorzewski
Keyword(s):  
Dune Vegetation ◽  
Coastal Foredunes

scholarly journals Coastal sand dune vegetation of Velika plaža (Montenegro)

2020 ◽  
Vol 79 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Danijela Stešević ◽  
Filip Küzmič ◽  
Đorđije Milanović ◽  
Milica Stanišić-Vujačić ◽  
Urban Šilc
Keyword(s):  
Sand Dune ◽  
Sandy Beach ◽  
Field Work ◽  
Dune Vegetation ◽  
Sand Beach ◽  
New Associations ◽  
Comprehensive Survey ◽  
Sand Dune Vegetation ◽  
Phytosociological Study

Velika plaža (Ulcinj, Montenegro) is the largest sandy beach along the coast of the eastern Adriatic that still has well-developed sand-dune vegetation. Although the characterization of the flora and vegetation of Velika plaža has been addressed by many authors, knowledge on its vegetation remained poor. We made a phytosociological study of sand beach vegetation comprising both dunal and wetland areas to provide a comprehensive survey of sand dune vegetation and habitat typology of Velika plaža. Based on 149 relevés (both from literature and recent field work), and with numerical classification (Flexible beta) and ordination (Non-metric multidimensional scaling) our results show that the vegetation of Velika plaža is much more diverse than previously known. Altogether, 19 plant communities from 6 vegetation classes were identified. Among them we described two new associations: Cuscuto cesatianae-Phyletum nodiflorae and Onobrychido caput-galli-Vulpietum fasciculatae.

Sand dune vegetation along the eastern Adriatic coast

2016 ◽  
Vol 46 (4) ◽  
pp. 339-355 ◽  
Author(s):  
Urban Šilc ◽  
Alfred Mullaj ◽  
Antun Alegro ◽  
Alban Ibraliu ◽  
Zora Dajić Stevanović ◽  
...  
Keyword(s):  
Sand Dune ◽  
Dune Vegetation ◽  
Adriatic Coast ◽  
Sand Dune Vegetation

The effects of vehicular and pedestrian traffic on dune vegetation in South Africa

1994 ◽  
Vol 23 (3) ◽  
pp. 225-247 ◽  
Author(s):  
C.A. Rickard ◽  
A. McLachlan ◽  
G.I.H. Kerley
Keyword(s):  
South Africa ◽  
Dune Vegetation ◽  
Pedestrian Traffic

Linking plant communities on land and at sea: The effects of Posidonia oceanica wrack on the structure of dune vegetation

2017 ◽  
Vol 184 ◽  
pp. 30-36 ◽  
Author(s):  
Silvia Del Vecchio ◽  
Tommaso Jucker ◽  
Marta Carboni ◽  
Alicia T.R. Acosta
Keyword(s):  
Plant Communities ◽  
Posidonia Oceanica ◽  
Dune Vegetation

scholarly journals INTERCONNECTIVITIES BETWEEN HAZARD, DAMAGE, AND SHORELINE TYPE: LESSONS LEARNED FROM HURRICANE IRMA’S IMPACT ON THE FLORIDA KEYS

2018 ◽  
pp. 82
Author(s):  
Tori Tomiczek ◽  
Brittany Webbmartin ◽  
Steven Scyphers ◽  
Kiera O’Donnell ◽  
Kelsi Furman
Keyword(s):  
Salt Marshes ◽  
Florida Keys ◽  
Cost Effective ◽  
Economic Loss ◽  
The United States ◽  
Lessons Learned ◽  
Storm Events ◽  
Wave Impact ◽  
Dune Vegetation ◽  
Hurricane Season

The 2017 Atlantic hurricane season had 17 named storms, 10 hurricanes, and 6 major hurricanes, generating over 226 units of accumulated cyclone energy (ACE), a measure used by the National Oceanographic and Atmospheric Association (NOAA) that refers to the combined the intensity and duration of a hurricane. These statistics earned the hurricane season’s classification as “extremely active,” the most active since 2005. Preliminary estimates of damage due to Hurricanes Harvey, Irma, and Maria amount to over $200 billion dollars in the United States alone. Recent studies suggest that the frequency of these high intensity Category 4 and 5 hurricanes is increasing (e.g. Mendelsohn et al., 2012). The 2017 hurricane season may thus be representative of an expected season. Accounting for projected increases in mean sea level, storm impacts may be exacerbated in coastal regions. These trends emphasize the need for effective damage mitigation techniques that improve the robustness and resiliency of coastal communities. Structures must be designed to not only avoid wave and surge loads, but also resist these forces in the event of a wave impact. Furthermore, creative, cost-effective solutions are required to mitigate waves and surge before they reach developed coastal areas. Thus, engineers require a robust, science-based methodology for predicting details of wave propagation over land and inland effects to ensure life safety and reduce economic loss due to extreme events. While traditional engineering strategies (e.g. seawalls, bulkheads) have been used to prevent coastal erosion and mitigate inland effects of hurricane waves and surge, recent storm events have shown potential of nature and natural based features (e.g. dune vegetation, mangroves, wetlands, salt-marshes, coral reefs, and seagrass) to protect coastal structures during storm events.

scholarly journals Coastal Dune Vegetation Mapping Using a Multispectral Sensor Mounted on an UAS

2019 ◽  
Vol 11 (15) ◽  
pp. 1814 ◽  
Author(s):  
Suo ◽  
McGovern ◽  
Gilmer
Keyword(s):  
High Resolution ◽  
Data Processing ◽  
Spatial Patterns ◽  
Near Infrared ◽  
Environmental Changes ◽  
Vegetation Mapping ◽  
Coastal Dune ◽  
Sensor Data ◽  
Surface Model ◽  
Dune Vegetation

Vegetation mapping, identifying the type and distribution of plant species, is important for analysing vegetation dynamics, quantifying spatial patterns of vegetation evolution, analysing the effects of environmental changes and predicting spatial patterns of species diversity. Such analysis can contribute to the development of targeted land management actions that maintain biodiversity and ecological functions. This paper presents a methodology for 3D vegetation mapping of a coastal dune complex using a multispectral camera mounted on an unmanned aerial system with particular reference to the Buckroney dune complex in Co. Wicklow, Ireland. Unmanned aerial systems (UAS), also known as unmanned aerial vehicles (UAV) or drones, have enabled high-resolution and high-accuracy ground-based data to be gathered quickly and easily on-site. The Sequoia multispectral sensor used in this study has green, red, red edge and near-infrared wavebands, and a regular camer with red, green and blue wavebands (RGB camera), to capture both visible and near-infrared (NIR) imagery of the land surface. The workflow of 3D vegetation mapping of the study site included establishing coordinated ground control points, planning the flight mission and camera parameters, acquiring the imagery, processing the image data and performing features classification. The data processing outcomes included an orthomosaic model, a 3D surface model and multispectral imagery of the study site, in the Irish Transverse Mercator (ITM) coordinate system. The planimetric resolution of the RGB sensor-based outcomes was 0.024 m while multispectral sensor-based outcomes had a planimetric resolution of 0.096 m. High-resolution vegetation mapping was successfully generated from these data processing outcomes. There were 235 sample areas (1 m × 1 m) used for the accuracy assessment of the classification of the vegetation mapping. Feature classification was conducted using nine different classification strategies to examine the efficiency of multispectral sensor data for vegetation and contiguous land cover mapping. The nine classification strategies included combinations of spectral bands and vegetation indices. Results show classification accuracies, based on the nine different classification strategies, ranging from 52% to 75%.

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