Changes in quantitative parameters of active wind dunes  on the south-east Baltic Sea coast during the last decade (Curonian Spit, Lithuania)

Morkūnaitė, Regina; Bautrėnas, Artūras; Česnulevičius, Algimantas; Dobrotin, Nikita; Baubinienė, Aldona; Jankauskaitė, Margarita; Kalesnikas, Audrius; Mačiulevičiūtė-Turlienė, Neringa

doi:10.7306/gq.1389

Cited by 3 publications

(10 citation statements)

References 18 publications

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“…Both elevation changes and their moduli were compared with the following properties of the study area (Fig. 3): a) absolute altitude (DEM100x, representing the absolute elevation at time zero), b) relative elevation, c) distance to the shoreline of the Curonian Lagoon, d) distance to the edge of the baresand surface class, e) slope direction relative to W direction, representing windward and downwind slopes (Česnulevičius et al 2017;Morkūnaitė et al 2018;Paškauskas 2006), and f) slope (calculated from DEM100x). Relative elevation was calculated from the DEM100x by subtracting from the original cell's value the mean value within a radius of 5,10,20,40,50,60,80,200,400,450,500,550 or 600 cells of this cell.…”

Section: Methodsmentioning

confidence: 99%

“…Most of the aeolian dynamics studies in the Pilkosios Dunes have so far been confined to cartometric surveys or comparisons of quantitative measurements and qualitative descriptions in fieldwork settings (Berendt 1869;Česnulevičius et al 2006Mardosienė 1989;Michaliukaitė 1967;Morkūnaitė 2000;Morkūnaitė, Česnulevičius 2005), as well as the use of satellite images to estimate volumetric changes (Povilanskas 2009;Povilanskas et al 2006Povilanskas et al , 2009. These data provide very limited means to assess the spatial properties of relief dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…A much better coverage and resolution can be achieved using modern remote sensing techniques, such as UAVaided photogrammetry or LiDAR collected data (Le Mauff et al 2018;Pucino, Condurso 2016;Suo et al 2017;Taddia et al 2017). However, UAV use for the studies of aeolian morphodynamics in the Curonian Spit have been extremely limited thus far (Česnulevičius et al 2019;Morkūnaitė et al 2018). The UAV-based methodology allows a much more effective data collection, compared to that of earlier studies (Gonçalves, Henriques 2015;Guillot, Pouget 2015).…”

Section: Introductionmentioning

confidence: 99%

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The dynamics of Pilkosios Dunes relief during 2010–2022, based on the digital elevation model analysis

Tijūnaitytė,

Danielius,

Bevainis

et al. 2023

Baltica

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To assess aeolian relief dynamics in Pilkosios Dunes, 6 digital elevation models (DEMs) were prepared from the year 2010, for January, May and October of 2018, for May of 2019, and for November of 2022. These DEMs were then compared with each other to obtain elevation difference rasters through time. The obtained results indicated that elevation changes were directional through time, and their highest intensity coincided with the bare-sand surface class, where active blowout landforms were located. In these locations, the average negative elevation change rate was determined to be approximately 2 cm/year. To analyse the driving forces of these elevation changes, the relationships between a measure of elevation change and the tested factor characteristics were evaluated. The strongest relationship amongst all tested factors was found with the distance to the edge of grassland/bare sand. Locations that were farther away from this edge experienced a four times larger decrease in elevation, compared to areas closer to the edge. The distance to the shoreline, which is related to the absolute altitude, was also an important factor. This relationship can be summarized as follows: the lowest areas, which were further from the lagoon, were inactive; while the highest locations, which were closer to the shoreline, had the highest intensity of elevation change (averaging 0.5–0.7 m for adjacent to the shoreline locations and -1.7 m for locations ~ 300 m away from the shoreline). The slope factor described a trend of how the steepest slopes were decreasing in height by 2 m on average, while gentler slopes were mostly stable.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The dynamics of Pilkosios Dunes relief during 2010–2022, based on the digital elevation model analysis

Tijūnaitytė,

Danielius,

Bevainis

et al. 2023

Baltica

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“…It was followed by the National ICZM Programme approved by the Ministry of Environment in 2003. In the last 10 years, ICM-relevant research in Lithuania mainly focused on the assessment of coastal processes under increasing human impact and global climate change [33][34][35][36], seaside resort management integration into the National ICM Programme [37][38][39][40], and integrated management of the Curonian Spit as a UNESCO World Heritage landscape [41][42][43].…”

Section: Lithuaniamentioning

confidence: 99%

Systems Approach to Eastern Baltic Coastal Zone Management

Baltranaitė

Povilanskas

Dučinskas

et al. 2020

Water

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Relying on the results of multivariate analysis of the re-analysis case studies from the BaltCoast project, specific features of integrated coastal management (ICM) approaches in Estonia, Latvia, Lithuania, and the Kaliningrad Oblast of the Russian Federation are highlighted in this paper. Eleven Eastern Baltic ICM case studies have been re-analyzed in-depth, which was the main focus of the present paper, covering a wide range of coastal landscapes, themes, policy issues, and ICM approaches. Five principal components explaining 84.86% of the total variance of ICM factor scores have been elicited by calculating rotation sums of squared loadings: (1) Stakeholder Involvement; (2) Research Base; (3) Planning Consistency; (4) Policy Environment, and (5) Development of Plans/Strategies. A truly dedicated involvement of a wide range of stakeholders throughout all process stages showed to be critical for further successful advance of ICM processes and principles based on the systems approach in the Baltic States and the Russian Federation.

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“…Until now, investigations of Lithuanian coastal dunes have mostly been based on the integration of visual interpretation (e.g., photointerpretation of aerial imagery), floristic and fieldwork data [4,9,[28][29][30][31][32][33][34][35][36][37], with some episodic attempts to analyze this unique area applying remote sensing techniques [38][39][40]. Therefore, the analysis of coastal dunes succession trends in different ecosystems represented by NDVI variation could provide valuable information for reconsideration of the existing nature protection and nature management tools applied in Curonian spit dunes.…”

Section: Introductionmentioning

confidence: 99%

Impact of Hydro-Climatic Changes on Coastal Dunes Landscape According to Normalized Difference Vegetation Index (The Case Study of Curonian Spit)

Taminskas

Šimanauskienė

Linkevičienė

et al. 2020

Water

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Coastal dunes are recognized as one of the most threatened ecosystems, the formation of which mainly depends on two opposite processes—sand dunes overgrowth and formation of open dunes. The application of cost-effective remote sensing methods permits monitoring the interaction of these two processes over a large area and long periods of time. Therefore in this study we assessed the links between hydro-meteorological parameters and the normalized difference vegetation index (NDVI) in Curonian spit coastal dunes landscape-a creation of human and nature integrity situated in the South eastern part of the Baltic Sea. Time series of NDVI (2000–2019) were obtained from the moderate resolution imaging spectro-radiometer and compared with hydro-meteorological parameters in three different ecosystems—forest, herbaceous and open sands. Moderate and strong positive correlation between NDVI and average wind speed was detected in non-forested ecosystems. Moderate positive correlation was detected between NDVI and the Baltic sea water level in all three analyzed ecosystems. Moderate positive correlation between NDVI and air temperature was found in forest ecosystem. This confirms that NDVI could be treated as an appropriate indicator, showing the interaction of coastal dunes overgrowth and formation of open dunes, and could be applied in its management that should be reconsidered under nowadays climate change.

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Changes in quantitative parameters of active wind dunes on the south-east Baltic Sea coast during the last decade (Curonian Spit, Lithuania)

Cited by 3 publications

References 18 publications

The dynamics of Pilkosios Dunes relief during 2010–2022, based on the digital elevation model analysis

The dynamics of Pilkosios Dunes relief during 2010–2022, based on the digital elevation model analysis

Systems Approach to Eastern Baltic Coastal Zone Management

Impact of Hydro-Climatic Changes on Coastal Dunes Landscape According to Normalized Difference Vegetation Index (The Case Study of Curonian Spit)

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