Background and Objectives: The aim of this study was to determine the effects of different stand densities on wood density (WD), global modulus of elasticity (MOE), and bending strength (MOR) in 35-year-old Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) H. Karst) stands, representing the hemiboreal forest zone. Materials and Methods: Scots pine and Norway spruce sites, representing different stand densities of 3000–3100; 2000–2100 and 1000–1100 trees per hectare, were chosen. Visually healthy model pine and spruce trees were selected, and diameter at breast height (DBH) was measured for model trees; the competition index was calculated; the MOE and MOR were evaluated by the Standards EN 408:2006 and EN 384:2016, at 12% moisture content; WD and the knot diameter were measured; and the strength class of wood was determined by the Standard EN 338:2009. To predict wood quality characteristics based on stand and tree characteristics, linear regression models were developed. Results and Conclusions: Higher stand density led to a significant change in the main wood properties of both conifer species. The highest mean WD, MOE, and MOR were obtained at the sites with the highest stand density. The MOE and MOR were highly correlated, but relatively weak correlations were found between MOE and MOR with tree DBH and WD. Despite the lower quality of Scots pine wood, the Norway spruce wood from more dense sites corresponded to the strength class of C16, according the strength grading of softwoods. The linear regression models did not perform well in describing the relationship of wood properties with stand and tree characteristics. The models for MOR accounted for the highest variation of 62–65% for both Scots pine and Norway spruce. These relationships can be expected to change with increased stand age or with the inclusion of specific crown parameters.

The allure of urban green spaces has captured the attention of researchers, especially in regions abundant in botanical wonders worldwide. Surprisingly, the case of Morocco, a country with a strong botanical tradition, has received little attention from researchers. Here, we explore the unique case of the emblematic “Majorelle Garden” in Marrakech, southern Morocco, through the reviews of its many visitors posted on the TripAdvisor platform. This article looks at the question “to what extent can a garden—such as the Majorelle—be a major attraction in a cultural tourist destination?”. Methodologically, we adopted a quantitative approach, examining visitors’ sentiments using the VADER tool from 2006 to 2023, and classifying them into three categories: negative, neutral, and positive. Furthermore, by utilizing LDA (latent dirichlet allocation), we uncover key topics running through visitors’ experiences. Our findings show that positive sentiments prevail, given the culturo-historical and symbolic quality of the garden as a crucible and vector of creativity, with the emergence of sub-corpuses that highlight certain divergences and convergences around the “Majorelle” case. This insight supports sustainability efforts by empowering the managers of the garden studied and industry professionals to develop and implement relevant strategies for managing and marketing the garden tourism attraction experience. In addition, this case study shows how a private urban garden reveals its key role in preserving cultural and botanical heritage, essential for future generations. It shows the garden’s positive impact on sustainable tourism through its ability to attract cultural visitors who appreciate and respect the local environment.

This paper proposes a thematic literature review of advances in the literature on forest property rights over the first half of this decade. From a methodological point of view, we exploited a corpus of scientific articles published between 2019 and 2023, extracted from the Scopus and Web of Science databases. We then performed a co-word analysis using the Louvain algorithm to reveal thematic clusters. This approach enabled us to identify seven distinct trends over the past half-decade, each highlighting specific aspects and geographical diversity of forest property rights, which were then evaluated using a thematic map. The main findings revealed that (policies, livelihoods and agroforestry) and (institutions, sustainability and non-timber forest products) stand out as central and influential themes, which have a significant impact and present notable advances that have shaped recent discussions and practices. Furthermore, themes (forest policy and resource management) and (conservation and the rights of indigenous communities) are well developed, which have a solid research base, offering an in-depth understanding of the relevant research questions. Conversely, themes (institutional change and forest conservation) and (deforestation, indigenous rights and community management) represent emerging themes, which are receiving increasing attention and are likely to become major of focus. In contrast, (forest governance, community management and land conflict resolution) which indicates a waning influence in terms of miscellaneous implications. The findings of this thematic literature review will help guide policymakers, researchers, and practitioners based on recent developments in international forest property rights, during a half-decade marked by a break with previous trends, leading to legislative changes and strategic adaptations essential for the sustainable management of forest resources, bolstered by technological advancements and environmental efforts.

Artificial intelligence (AI) is becoming not only an auxiliary tool, but also one of the main factors helping to shape natural resource management models. The application of artificial intelligence in protected areas allows for a transition to more sustainable management of protected areas. By applying artificial intelligence technologies, it is possible not only to respond to changes or violations that have already occurred but also to more effectively predict potential threats, form long-term protection strategies, and make rational decisions based on accurate and timely data analysis. This study aims to determine the possibilities and importance of applying artificial intelligence technologies to the sustainable management of protected areas. The sample group of this study consists of a total of 135 experts from Turkey, Lithuania, and Morocco (45 from each country). The sample includes professionals with expertise in the relevant field, namely lawyers (9), academics (9), managers of protected areas (9), government officials responsible for protected areas (9), and representatives of non-governmental organizations (9). This study employed qualitative research methods, within which a case study design was adopted. For the analysis of the findings, thematic analysis and content analysis techniques were utilized to ensure a comprehensive and in-depth interpretation of the data. Analysis of the results of this study showed that integrating AI into the management of protected areas increases management efficiency and helps create long-term strategies, but successful application depends on cooperation between technology developers, scientists, and environmental specialists. Also, AI applications are expected to be a critical part of the process of environmental sustainability and fighting climate change.

Climate change and transition towards a bioeconomy are seen as both challenges and opportunities for the forest-based sector in Europe. Transition towards a bioeconomy will in most cases rely on intensified use of renewable resources and/or advancement in technology. However, how can the intensified use of renewable resources be combined with climate change mitigation measures to increase carbon sinks in the forest-based sector? Additionally, what are the possible socio-economic and environmental impacts of intensified wood use? In this study, we examined the impacts of increased wood utilisation in Lithuania. The objective of this study was to assess the effects of increased domestic wood utilisation on: (i) employment; (ii) the economic performance of the sector; (iii) carbon in forest biomass and soil; and (iv) carbon in harvested wood products (HWP). The system boundaries were set in accordance with international greenhouse gas reporting to include only domestic wood flows. We assessed alternative wood utilisation scenarios using a forest resource model and a tool to assess sustainability impacts of (wood) value chains, using country specific data on wood (carbon) flows. Our results indicate that increased wood use could lead to trade-offs between six selected indicators. Opportunities for employment and the economic performance of the forest-based sector improved in all scenarios due to increased wood utilisation. However, when forest fellings increased, the carbon stored in forests decreased, the carbon stored in HWP increased, but overall the total carbon stored in forests and HWP decreased. When considering also additional substitution effects until the year 2100, the scenario with reduced wood exports generated larger total climate change mitigation effects than the baseline. Our results suggest that increased wood utilisation might support Lithuania’s bioeconomy through increased socio-economic benefits. National positive climate change mitigation effects could be gained only if additional actions to utilise more domestic wood for long-life HWP will be taken.

Recent years have seen an increase in the popularity of exploring the correlation between groundwater and tourism as a research topic. Although previous studies have touched on certain aspects of this relationship, none has yet plunged to the heart of the matter. This Bibliometric study examines the literature on the relationship between tourism and groundwater in the overall context of economic development. The bibliometric tools VOS Viewer version 1.6.19 and R Bibliometrix were employed to analyze 104 publications selected via the Preferred Reporting Items for Systematic Reviews and Meta-Analyses diagram. The results suggest a growing interest in the subject and the need for broader and collaborative research, to fully understand these dynamics. Major contributions come from Spanish, American, Chinese, and Mexican authors, focusing on sustainability, anthropogenic impact, physical characteristics, and groundwater quality. In conclusion, this study provides an overview of the current research landscape, identifies trends and gaps, and encourages international collaboration for a better understanding of groundwater issues in the tourism context. Although our work provides very important knowledge, it should be recognized that the analysis is made only based on the Scopus-indexed literature. This restriction highlights the necessity for future research to do a more comprehensive and integrated bibliometric analysis. The array of research sources will thus definitely enhance the joint academic knowledge on that subject and lead to more inclusive and, therefore, higher-quality academic discourse.