This study aims to assess the beekeeping potential in a Portuguese area with honey protected designation of origin (PDO) following a multi-criteria decision analysis (MCDA) for supporting beekeepers in the selection of the best locations for apiaries, thus maximizing honey production and reducing the risk of bee colony losses.
Simple Summary Beekeeping is an activity that supports agriculture and wildlife on earth, so it is very important to provide accurate information that is able to help in increasing the profitability of beekeeping and valorize pollination services. In this paper, a new methodology is proposed to assess beekeeping potential using Geographic Information Systems (GIS) and the Analytical Hierarchy Process. The propo...
The aim of this study was to design an approach for establishing a plausible relationship between FWI and the monthly average burned area (ABA) and the average number of ignitions (ANI) supported by geographic information systems (GIS). The application of these results will allow the projection of burned areas in forest fires in the future, making mitigation actions possible. This approach was applied to the re...
Beekeeping management is greatly influenced by spatial factors (e.g., land use/land cover, roads, or electrical energy networks), so GIS are a powerful tool to overlap and relate a variety of spa- tial data levels and, consequently, a very useful tool for beekeeping activity planning. This study was developed within the intervention area of three controlled zones managed by Portuguese Beekeepers Associations. T...
A reforma e Modernização das Ciências Agrárias - Modernização tecnológica e digital das ciências agrárias e veterinárias, apresenta-se como uma estratégia essencial para responder aos desafios de um mundo em constante transformação a nível tecnológico e ambiental. A implementação de um programa de modernização do ensino nestas áreas é, por isso, crucial para garantir que as próximas gerações de profissionais es...
Beekeeping management is greatly influenced by spatial factors (e.g., land use/land cover, roads, or electrical energy networks), so GIS are a powerful tool to overlap and relate a variety of spa- tial data levels and, consequently, a very useful tool for beekeeping activity planning. This study was developed within the intervention area of three controlled zones managed by Portuguese Beekeepers Associations. T...
Portuguese maritime pine forests are severely affected by forest fires. The study aimed at modelling: (1) species’ current distribution and productivity; and (2) species’ distribution for projected future climate change scenarios. The land cover, national forest inventory, and environmental data were used. A Bayesian Machine Learning (ML) analysis allowed exploring the most influential environmental variables. ...
A Geographic Information System (GIS) corresponds to an organization and communication structure that allows understanding relationships, patterns and trends in our world, through visualization, exploration, analysis and interpretation of geospatial data. This work aims to present the concepts, identify and characterize the open-source software (OSS) and proprietary software solutions, and comparatively analyze...
To date, a variety of species potential distribution mapping approaches have been used, and the agreement in maps produced with different methodological approaches should be assessed. The aims of this study were: (1) to model Maritime pine potential distributions for the present and for the future under two climate change scenarios using the machine learning Maximum Entropy algorithm (MaxEnt); (2) to update the...
: Climate change and land use and land cover (LULC) change are impacting the species’ geographic distribution, causing range shifts and reducing suitable habitats. Asphodelus bento-rainhae subsp. bento-rainhae (AbR) is an endangered endemic plant restricted to Serra da Gardunha (Portugal), and knowledge of those changes will help to design conservation measures. MaxEnt was used to model AbR’s current distributi...