In 2015, the United Nations General Assembly identified 17 Sustainable Development Goals (SDGs) to be achieved by the year 2030. The study’s main objective is to identify the necessary conditions and potential for ensuring both the sustainability and competitiveness of tourism in seaside and marine resorts located in or at coastal and marine protected areas on the example of Karklė (Lithuania). Based on the results of a benchmarking study of five South Baltic resorts using the Delphi technique, the survey team identified the main deficiencies of Karklė as a seaside and marine resort of an international scale. We address the deficiencies by applying a geographical information system as a decision-support tool for the Littoral Regional Park where Karklė is located. We conclude that for ensuring both the sustainability and competitiveness of tourism in seaside and marine resorts, it is expedient to combine the Delphi-based tourism benchmarking with integrated coastal management and maritime spatial planning, for which GIS is an indispensable tool.

This paper demonstrates the possibilities of a Geographical Information System (GIS) for investigating and explicating the spatial variation of the short-range viewshed aesthetic appeal in a World Heritage coastal dune and forest area. The study pursues the following objectives: (1) develop and trial a GIS-based algorithm for computing the Aesthetic Appeal Index for a Short-Range Viewshed (ǣ); (2) deliver an output map showing the spatial variation of the computed ǣ values in the target territory and distribution of the zones with high scenic quality and potential aesthetic ecosystem services (PAES); and (3) assess management alternatives in zones with high PAES and high conservation value. This study combines two key innovative aspects. First, it integrates an objective digital map of habitats with subjective scenic preferences of coastal forest and dune landscapes based on psychophysical and cognitive perceptions of scenic beauty. Second, it applies a GIS-based algorithm to translate subjective scenic preferences to an output map of ǣ. The study’s main conclusion is that the combined aesthetic appraisal of the immediate and foreground viewshed of coastal forests and dunes, by applying a specially created GIS algorithm, allows an assessment of the scenic quality of this landscape reliably in statistical terms.

In the coastal zone, two types of habitats—linear and areal—are distinguished. The main differences between both types are their shape and structure and the hydro- and litho-dynamic, salinity, and ecological gradients. Studying linear littoral habitats is essential for interpreting the ’coastal squeeze’ effect. The study’s main objective was to assess short-term behavior of soft cliffs as littoral linear habitats during calm season storm events in the example of the Olandų Kepurė cliff, located on a peri-urban protected seashore (Baltic Sea, Lithuania). The approach combined the surveillance of the cliff using unmanned aerial vehicles (UAVs) with the data analysis using an ArcGIS algorithm specially adjusted for linear habitats. The authors discerned two short-term behavior forms—cliff base cavities and scarp slumps. The scarp slumps are more widely spread. It is particularly noticeable at the beginning of the spring–summer period when the difference between the occurrence of both forms is 3.5 times. In contrast, cliff base cavities proliferate in spring. This phenomenon might be related to a seasonal Baltic Sea level rise. The main conclusion is that 55 m long cliff cells are optimal for analyzing short-term cliff behavior using UAV and GIS.

The coastal zone consists of diverse littoral habitats, which we categorize into two primary types: linear and areal. Investigating linear littoral habitats is crucial for resolving the ‘coastal squeeze’ phenomenon in coastal and marine protected areas and in seaside resorts. Our research aims to identify the critical conditions for the conversion of defunct seaside military training areas as brownfields into coastal protected areas and small-scale seaside resorts and their sustainable planning and management. The development of seaside tourism facilities is taking place both on the coast and in the hinterland, but the coast is used for tourism much more intensively than the hinterland. It is challenging to ‘pull’ tourists away from the linear beach to the areal hinterland. We argue that the distinctiveness of the resource use conflicts in coastal and hinterland tourism lies in an essential difference between the system’s linear and areal littoral habitats, as 78% of summer visitors in Pajūris Regional Park in Lithuania come for active leisure in nature. The results of our study show that combining the GIS interpretation algorithms, supported by the innovative conjoining of DPSIR and Delphi analytical tools, ensures site-tailored integrated management of the linear waterfront and the areal hinterland.

Transitional waters play a vital role in the ecological health and sustainability of coastal areas. According to European Union legislation, transitional waters are coastal water bodies influenced by freshwater flows but are partly saline due to their proximity to the sea. This study focuses on agricultural and forestry regions adjacent to transboundary transitional waters—i.e., areas where two or more countries share an estuary, tidal inlet, delta, or lagoon and have a contiguous border in their territorial waters. The objective of the study is to determine the patterns of riparian agroforestry around the transboundary transitional waters in Europe and the dependence of the sustainability of these agro-silvo-pastoral systems under stress on the overall cross-border coherence of the countries sharing these waters. The innovative methodology uses GIS and geostatistical interpretation to quantitatively interpret multi-layered spatial data from remote sensing and other sources. The article’s main finding is that in the direct catchment areas of 12 transboundary transitional waters in three European bioregions—the Baltic Sea, the Adriatic and Black Seas, and the Northeast Atlantic—the Dissimilarity Index values vary from 1.5% to 8.2% in different agroforestry systems.