Presently both the theoretical and practical aspects of sustainable development are interpreted in identical terms of growth. The main focus of our research is a rural area of the Carpathian Basin turning to tourism and renewable energy in order to cope with economic, demographic, cultural, and community-related challenges via residential, communal, and tourism-oriented solutions in a sustainable manner. Relying on our sample of the Székely tenth settlement pattern we will discuss such basic features as situational geography, and historical background along with explaining the respective and relevant concepts, while highlighting the motivational push and pull factors rooted in the developmental genesis of this historical and autonomous settlement arrangement still existing and in effect even nowadays. We are convinced that a novel and higher level, or more sophisticated approach can increase the marketability of such features. Furthermore, we will point to a tourism-related trend implying a more stable, organic, and system-oriented sustainable spatial and social arrangement. We will conclude that in the next stage of sustainable tourism development producers of tourismrelated programs in the Székely (Sekler) region should diversify and increase their reliance on modern and renewable energy sources. Since renewable energy sources represent a valuable social capital for all stakeholders, their use in integrated rural development efforts is highly recommended.

ABSTRACT:Hiking can bring together different people with different fitness level. To not to depart too much from each other resting places should be introduced. In some cases it's important to know the optimal locations of these places as they can be arranged with benches and tables. Our research focuses on developing a parameterized algorithm which can predict the optimal places of these resting locations. The developed algorithm was implemented in Python and used in QGIS for analyzing five important tourist trails in Lacu-Rosu region. Combining all possible fitness level pairs an inverse weighted method was used to locate the most important places which are suitable for arranged resting locations.

The Eastern Carpathians depressions were always considered as the cold corner of Romania having the lowest temperatures. With all these in the past several years in these basis where the apples and potatoes were the most common cultures, now not only maize, cherry and tomatoes are cultivated but also grape and apricot is present. Our research wanted to investigate if it's about changing in seasons length as it's present in everyday talk (ex. there's no more spring) and if it's a possibly lasting situation or not. Based on daily minimum, maximum and mean temperature values, applying K-means clustering for automatic season detection and trend analysis we found that these depressions are affected by global climate change, but this not affects the presence of the four classic season for continental climate. The seasons are notable but there are changes in how they can be characterized. The most notable result in our current research is that there are significant trends in summers' minimum, maximum and mean temperatures for all these depressions. The year 2006 could be considered as breaking year for daily mean temperatures as the obtained two periods has a significant difference regarding the daily mean temperature value with an absolute difference between 1.1 -1.3 degree Celsius.

The Central Metaliferi Mountains, situated in south-central side of the Apuseni Mountains, have a variety of natural and anthropic touristic potential, but, unfortunately, less known and not enough exploited. After conducting a survey in Geoagiu Spa we specifically recommend the following: increased number of one day tours, which are the main tourist destination in the region, many tours for visiting the major centers of cultural-historical monuments related to our past history, granting economic incentives for organizer of youth groups to attract the youth, diversification of tourist routes with thematic actions: curiosities of nature, environment, organizing sports events with different timetable covering all seasons and all series, attracting local and foreign investors by providing tax incentives and financial programs introducing touristic resort in the international circuit.

Climate change is a fact that we face year after year. Although is a common syntagma its manifestation is different for various region of the planet producing not just global, but local anomalies and changes. In order to track these changes, we propose a network model with preferential attachment, vertices representing successive time periods. The test location for our research was Miercurea Ciuc, one of the coldest locations of Romania. We have developed a similarity index including different meteorological parameters such as air temperature, ground temperature, precipitation amount, snow depth and sunshine hours. Using this similarity index for preferential attachment and considering the appearance order of nodes representing periods on time scale we have created a network model which shows the similarities between these periods as they appear in time. Clustering the obtained graph model, we could observe that the created network model at monthly scale clearly shows up some of experienced characteristic at the study location.