Context: Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient characterization from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies both the shape and arrangement of fragments.Objectives: We present a fractal fragmentation and disorder index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and to efficiently report both the fragmentation of images and their spatial disorder.Methods: We validate the FFDI with 12,600 synthetic hierarchically structured random map (HRM) multiscale images, as well as several other categories of fractal and non-fractal test images (4880 images). We then apply the FFDI to satellite imagery of forest cover for 10 distinct regions of the Romanian Carpathian Mountains from 2000–2021.Results: The FFDI outperformed its two individual components (fractal fragmentation index and Rényi information dimension) in resolving spatial patterns of disorder and fragmentation when tested on HRM classes and other image types. The FFDI thus offers a clear advantage when compared to the individual use of fractal fragmentation index and the Information Dimension, and provided good classification performance in an application to real data.Conclusions: This work improves on previous characterizations of landscape patterns. With the FFDI, scientists will be able to better monitor and understand forest fragmentation from satellite imagery. The FFDI may also find wider applicability in biology wherever image analysis is used.

The paper explores the distribution of tree cover and deforested areas in the Central Carpathians in the central-east part of Romania, in the context of the anthropogenic forest disturbances and sustainable forest management. The study aims to evaluate the spatiotemporal changes in deforested areas due to human pressure in the Carpathian Mountains, a sensitive biodiverse European ecosystem. We used an analysis of satellite imagery with Landsat-7 Enhanced Thematic Mapper Plus (Landsat-7 ETM+) from the University of Maryland (UMD) Global Forest Change (GFC) dataset. The workflow started with the determination of tree cover and deforested areas from 2000–2017, with an overall accuracy of 97%. For the monitoring of forest dynamics, a Gray-Level Co-occurrence Matrix analysis (Entropy) and fractal analysis (Fractal Fragmentation-Compaction Index and Tug-of-War Lacunarity) were utilized. The increased fragmentation of tree cover (annually 2000–2017) was demonstrated by the highest values of the Fractal Fragmentation-Compaction Index, a measure of the degree of disorder (Entropy) and heterogeneity (Lacunarity). The principal outcome of the research reveals the dynamics of disturbance of tree cover and deforested areas expressed by the textural and fractal analysis. The results obtained can be used in the future development and adaptation of forestry management policies to ensure sustainable management of exploited forest areas.

The lack of sustainable development strategies of the tourist resorts from Romania caused the structural dynamics of their economy to record large fluctuations under the impact of determinants with unpredictable developments. The spectacular dynamics have led to developments difficult to predict, in many situations that generate environmental conflicts, where the economic pressure has exceeded the support capacity of the natural environment. In this study, we aim to analyze the dynamic relationship between tourism and the other components of the economy, from each resort from Romania. The significant growth of tourism in recent years requires new approaches, relevant for understanding the role of tourism in increasing the complexity of the local economy. Measuring the role of tourism in the development of local economy was achieved by building an economic database for all tourist resorts from Romania (according to Government Decision No. 107 of 2018), at the four-digit NACE code level (Classification of National Economy Activities), for the economic indicators considered relevant: number of companies, number of employees, and turnover and profit, for the period 2000–2016, as well as at territorial administrative unit level. Detailed analyses revealed very different structural dynamics, the spectacular dynamics, lacking a coherent strategic framework, led in all situations to the emergence of environmental conflicts. Tourist resorts in which tourism has become an essential component of economic development have based their development on capitalization of local resources, which led to multiplication effects, materialized in a spectacular evolution of the local economy, and an increasing pressure on the natural environment.

Economic pressure on agricultural land is generating major changes in affected territorial systems. The development of methodologies to analyze the pressure on agricultural land is one of the main concerns regarding food security and how to provide fresh produce to large cities. The methodology used uses the Corine Land Cover database, provided by Copernicus Land Monitoring Services (CLMS), from 1990–2018. Data processing and analysis was performed using the open-source software package QGIS, a process that started by reprojecting the data into the national coordinate reference system Pulkovo 1942(58)/Stereo 70, EPSG: 3844. The methodology used was able to highlight the transformations that have taken place in land use, highlighting when and how the land was transformed. Our results show that quantitative and land-use changes due to the socio-economic pressures generated by the transition to a different type of economy can be highlighted. Urban sprawl has led to dramatic changes in land use, with agricultural land being the category that has seen the largest reductions in area.

Winter sports are the main attraction for many tourist areas in Romania, contributing significantly to the development of local economies. Based on this, the study aims to analyze the ski areas in Romania, as well as the extent to which they contribute to the sustainable development of the local economy. This is particularly important as, in recent decades, climate change has significantly affected winter sports, especially skiing. Thus, an analysis of the physical characteristics of ski runs in Romania (number, length, width, level difference and slope) is accompanied with an analysis on the dynamics of the share of tourism in the local economy of winter sport locations, based on tourism turnover relative to total turnover in the local economy. Both graphic and cartographic methods were used in this study, based on an analysis of quantitative and qualitative data available for ski slopes in Romania and the host localities. We used ArcGIS 10.6 software for the preparation of graphical representations and other software to process large databases. The research results showed a great diversity regarding counties, localities and ski slopes depending on the characteristic features of ski slopes (number, length, width, level difference and slope). In our study, the evolution of the share of turnover in tourism in terms of total turnover presented several categories of localities based on their economic dependence on winter sports; the impact in this regard was found to be very differentiated between localities.

Nowadays, creative economies stand as a relevant indicator of the sustainable development of local and regional ones. The study aims to highlight the spatial behaviour of creative economies in the Bucharest‒Ilfov Development Region, the most dynamic and complex regional economy in Romania. In order to assess the spatial dynamics of creative economies in the region, an economic database was created, at the level of the territorial administrative unit, for the two economic indicators considered important for the study, number of employees and turnover, under the auspices of the Classification of National Economy Activities (NACE). The establishment of creative economies was made following the Government Decision no. 859 of 2014, with 66 codes for this sector. Annual cartographic models were developed for each indicator in QGIS (a free and open–source cross–platform desktop geographic information system application that supports viewing, editing, and analysis of geospatial data), for the period 2000–2016. For a relevant analysis of spatial behaviour, we used Sholl and Kolmogorov complexity, which highlighted specific patterns of spatial dynamics that help us to understand the role of creative economies in the sustainable development of regional economies. The results highlighted the role of accessibility corridors in the development of the regional economy.