Nature-based tourism constitutes a major segment of world tourism. Protected areas are considered a popular theme in the literature, which is characterised by a great heterogeneity in concepts, contents, and purposes. This study analyses many of the indicators of interest related to the research on the themes of protected areas and nature-based tourism. Consequently, we aim to offer a global and updated vision of the research produced regarding these themes over the last 30 years. With bibliometric tools (Bibliometrix and VOSviewer), 1033 scientific articles were analysed. The results indicate that the research in this area exponentially increased in the last decade. Using a co-occurrence network of keywords, five major themes in this study were identified: (1) ecotourism; (2) nature conservation, biodiversity, and sustainability; (3) national parks, recreation, and climate change; (4) sustainable management and development; and (5) with a lesser degree of representation, themes related to China and ecosystem services. A timespan analysis on this network enabled the identification of six trends in the research over the last years: (i) sustainable tourism; (ii) climate change; (iii) geotourism and rural tourism; (iv) ecosystem services and cultural ecosystem services; (v); visitor studies; and (vi) wildlife tourism. Nature-based tourism plays a significant and crucial role in sustainable development. Analysing research in protected areas and nature-based tourism provides insights into key themes and emerging trends, serving as a valuable resource for knowledge advancement.

The use of unmanned aerial vehicles (UAVs) in many fields of expertise has increased over recent years. As such, UAVs used for monitoring coastline changes are also becoming more frequent, more practical, and more effective, whether for conducting academic work or for business and administrative activities. This study thus addresses the use of unmanned aerial vehicles (UAVs) for monitoring changing coastlines, in particular morphological coastal changes caused by rising sea levels, reductions in sediment load, or changes produced by engineering infrastructure. For this objective, a bibliometric analysis was conducted on the basis of 160 research articles published in the last 20 years, using the Web of Science database. The analysis shows that the countries leading the way in researching coastline changes with UAVs are the United States, France, South Korea, and Spain. In addition, this study provides data on the most influential publications and authors on this topic and on research trends. It further highlights the value addition made by UAVs to monitoring coastline changes.

Wildfire are increasingly frequent events on a planet undergoing climate change. With more favourable climate conditions for their occurrence, like prolonged periods of drought, the frequency and intensity of these catastrophes continue to increase. Protected areas are important territories for conserving ecosystems and biodiversity around the world and serve as a key management tool in national environmental policies. Many studies have been developed around the world to assess the conditions, frequency, and intensity of fires, and, on the other hand, protected areas are intensively studied to understand whether conservation actions are effective in keeping the ecosystem balanced. However, there are few studies that contemplate these two themes together. Consequently, this study offers a bibliometric analysis of the wildfires and its occurrence in protected areas, aiming to understand the spatial and temporal relation between them, characteristics of the research studies, and trending issues to be worked on. We used the Bibliometrix package in R language, which provides the option of different methods for analysing bibliometric data to understand the temporal evolution of the published documents about wildfires and protected areas. In total, 1116 publications were analysed, ranging from 1970 to 2022. The findings show that the terms “fires” (185 occurrences), “fire” (117), “wildfire” (101), and “forest fire” (92) are more frequently used and associated with studies on topics including biodiversity (304), conservation (221), environmental protection (188), deforestation (148), ecosystems (138), forestry (133), and climate change (126) as well as protected areas (399). The highest growth of research has been registered since 2002. The majority of the publications were published by authors from universities in the USA (77), South Africa (72), the United Kingdom (22), and Brazil (19). The USA leads all other countries with 7 of the top 10 international collaborations, followed by Brazil, Australia, and South Africa. However, only the United Kingdom continues to maintain an increased number of external (inter-country) collaborations, whereas the other nine continue to maintain an increased number of internal (intra-country). Considering the top 10 authors in terms of production, only 1 was active from 1999 to 2019, and the other 9 only have been active since 2009. The topics that stand out were subjected to a coupling analysis, which revealed that environmental protection is a motor theme, endangered species, Australia, and savannah are niche themes, and protected area, biodiversity, and fire management are basic themes.

Most of the strategies developed to “save” rural territories in Europe have not been successful. One of their main problems has been the adoption of the top-down paradigm when approaching the development of those territories. Portugal is a good example of the difficulty in adopting a bottom-up paradigm. The main objective of this paper is to present the perceptions of the local (including the residents) and regional stakeholders acting at Boticas, regarding the set of resources available and the development of the tourism industry. Boticas is a northern Portuguese, rural low-density municipality. In capturing those perceptions, the research contributes to the establishment of a more integrated and innovative development strategy and thus, a more capable strategy for profiting from the potential associated with the growth of the tourism industry that has been experienced recently in Portugal. The adoption of a mixed-method was suggested for evaluating these resources and capturing the perceptions of the tourist potential by different stakeholders. Empirical data was collected through a survey of 373 of its residents and 25 interviews conducted with local and regional actors, further supported by an inventory of the cultural resources and their capacity for visits. We conclude here that, residents tend to have a very positive perception of tourism development, and indeed, their perceptions largely met those of other stakeholders.

Protected areas (PA) play an important role in minimizing the effects of soil erosion in watersheds. This study evaluated the performance of machine learning models, specifically support vector machine with linear kernel (SVMLinear), support vector machine with polynomial kernel (SVMPoly), and random forest (RF), on identifying indicators of soil erosion in 761 sub-watersheds and PA in northern Portugal, by using soil erosion by water in Europe, according to the revised universal soil loss equation (RUSLE2015), as target variable. The parameters analyzed were: soil erosion by water in Europe according to the revised universal soil loss equation (RUSLE2015), total burned area of the sub-watershed in the period of 1975-2020, fire recurrence, topographic wetness index (TWI), and the morphometric factors, namely area (A), perimeter (P), length (L), width (W), orientation (O), elongation ratio (Re), circularity ratio (Rc), compactness coefficient (Cc), form factor (Ff), shape factor (Sf), DEM, slope, and curvature. The median coefficient of determination (R²) for each model was RF (0.61), SVMpoly (0.68), and SVMLinear (0.54). Regarding the analyzed parameters, those that registered the greatest importance were A, P, L, W, curvature, and burned area, indicating that an analysis which considers morphometric factors, together with soil erosion data affected by water and soil moisture, is an important indicator in the analysis of soil erosion in watersheds.

Changes in land use and land cover (LULC) in protected areas can lead to an ecological imbalance in these territories. Temporal monitoring and predictive modeling are valuable tools for making decisions about conserving these areas and planning actions to reduce the pressure caused by activities such as agriculture. This study accordingly developed an LULC analysis framework based on open-source software (QGIS and R language) and predictive methodology using artificial neural networks in the Alvão Natural Park (PNA), a protected area in northern Portugal. The results show that in 2041, Agriculture and Open Space/Non-vegetation classes will evidence the greatest decrease, while Forest and Bushes will have expanded the most. Spatially, the areas to the west and northeast of the protected area will experience the most significant changes. The relationship of land use classes with data from the climate model HadGEM3-GC31-LL (CMIP6) utilizing scenarios RCP 4.5 and 8.5 demonstrates how through the period 2041–2060 there is a tendency for increased precipitation, which when combined with the dynamics of a retraction in classes such as agriculture, favors the advancement of natural classes such as bushes and forest; however, the subsequent climate data period (2061–2080) projects a decrease in precipitation volumes and an increase in the minimum and maximum temperatures, defining a new pattern with an extension of the period of drought and precipitation being concentrated in a short period of the year, which may result in a greater recurrence of extreme events, such as prolonged droughts that result in water shortages and fires.