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Optimisation of the geobiodiversity index for protected natural areas in northe...

Vieira, António; Steinke, Valdir; Bento-Gonçalves, António; Folharini, Saulo Oliveira; Novais, Jorge Leandro Ramalho; Silva, Sara

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 ...


Bibliometric analysis on wildfires and protected areas

Folharini, Saulo Oliveira; Vieira, António; Bento-Gonçalves, António; Silva, Sara; Marques, Tiago Ribeiro; Novais, Jorge Leandro Ramalho

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...


CLICTOUR - Roteiro para o turismo sustentável nas áreas protegidas do norte de ...

Sousa, Rita; Vieira, António; Silva, Luís; Ribeiro, Sara; Melo, Ana Duarte; Bento-Gonçalves, António; Viana, Artur; Gião, Cristiana Gomes

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 ...


Soil erosion quantification using Machine Learning in sub-watersheds of Norther...

Folharini, Saulo Oliveira; Vieira, António; Bento-Gonçalves, António; Silva, Sara; Marques, Tiago Ribeiro; Novais, Jorge Leandro Ramalho

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...


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