Most studies on geodiversity and geoheritage have focused exclusively on analyzing and evaluating abiotic elements. Although some authors have emphasized the important links between abiotic and biotic elements, the focus has mostly been on abiotic elements alone and not on the interrelationship between the two. In this sense, our proposal is to analyze the potential of geodiversity in a broader sense. In other ...
This study carries out a comprehensive bibliometric analysis of scientific production on wildfires, soil erosion and land degradation, with the aim of understanding trends, critical gaps in scientific knowledge and research patterns. A total of 1400 articles published between 2001 and 2023 were analyzed with bibliometric tools (Bibliometrix and VOSviewer), revealing a steady growth in the number of publications...
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 p...
Portugal sempre esteve e sempre estará sujeito a eventos naturais extremos, potencialmente causadores de vítimas e de elevados prejuízos ambientais, económicos e sociais. Com efeito, “as características naturais, particular-mente a sua posição no quadro geológico global e regional, as condições climáticas mediterrânicas, as condições geomorfológicas e de cobertura vegetal, de acordo com o modo como ao longo dos...
With the effects of fire, weather and post-fire management on soil properties having been studied mostly individually, there is little understanding of the combined effects of wildfire, heavy storm and straw mulching. In this study, we evaluated the changes in soil properties following a high-severity fire, post-fire soil treatment using straw mulch, and a torrential storm in a forest stand in north-western Por...
Mapping large wildfires (LW) is essential for environmental applications and enhances the understanding of the dynamics of affected areas. Remote sensing techniques supported by machine learning and time series have been increasingly used in studies addressing this issue and have shown potential for this type of analysis. The main aim of this article is to develop a methodology for mapping LW in northwestern Po...
A indústria do turismo desempenha um papel de elevada relevância nas economias nacionais e regionais a nível global. Com o crescente interesse na visitação de áreas protegidas, muitas destas regiões, anteriormente intocadas, têm-se transformado em destinos turísticos de importância significativa e amplamente populares, atraindo um número elevado de visitantes anualmente. Ao mesmo tempo, várias áreas naturais e ...
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 usi...
We consider the problem of buying and locating equipment for covering a (discretized) region. We propose two approaches, based on mathematical programming modelling and the epsilon-constraint method, that allow obtaining the efficient frontier of a bi-objective optimization problem. In the first approach, the objectives are maximizing coverage and minimizing cost. In the second approach, lexicographic optimizat...
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 ...