Cold-water coral communities in the Azores : diversity, habitat and conservation

Tese de Doutoramento, Ciências do Mar (especialidade em Ecologia Marinha), 11 de Setembro de 2015, Universidade dos Açores.

Sistematics, population genetics, propagation and conservation of Picconia azorica (Tutin) Knobl. (Oleaceae)

Tese de Doutoramento, Biologia (Ecologia Vegetal), 24 de Junho de 2013, Universidade dos Açores.

Perspectives and progress of ecology and conservation science in the Azores: the possible contribution of Artificial Intelligence

EPIA 2013 - XVI Portuguese Conference on Artificial Intelligence Angra do Heroísmo, Azores, Portugal, 9 – 12 September.

Biology, ecology and conservation of mobulid rays in the Azores

Dissertação de Mestrado, Estudos Integrados dos Oceanos, 12 de Dezembro de 2013, Universidade dos Açores.

Sistematic, population genetics, propagation and conservation of Prunus azorica (Rosaceae)

Tese de Doutoramento, Biologia (Ecologia Vegetal), 25 de Junho de 2013, Universidade dos Açores.

Conservation of limpet populations: a heavily exploited resource in Azores, NE-Atlantic

10th International Temperate Reefs Symposium, The University of Western Australia, 12-17 de janeiro.

Mapping multi-species habitat use for marine conservation planning

Tese de Doutoramento, Ciências do Mar (Biologia Marinha)

Role of the wider Azores region as a nursery ground for North Atlantic blue shark (Prionace glauca)

Tese de Doutoramento, Ciências do Mar (Ecologia Marinha)

Cobble beaches in oceanic islands : how they react to hydrodynamics and location in the island?

1st Mares Conference on Marine Ecosystems Health and Conservation. Olhão, Portugal 17-21 November 2014.

Sei whale (Balaenoptera borealis) ecology and management in the North Atlantic

Tese de Doutoramento em Ciências do Mar, especialidade em Ecologia Marinha.

Modeling Movement of Tourists : Tools and Application in São Miguel Island, Portugal

Tourism contributes to the development of many regions. Different factors affect the movement of tourists within a destination. Those factors are related to the tourist characteristics, like the time budgets, preferences or destination knowledge, and to the destination features, like the attraction characteristics or accessibility level. Tourist decisions aren’t always done in a rational way. Emotions add further complexity to the human decision process. The use of footpaths can play an important role in the satisfaction of tourists, helping them discover the territory and giving them access to different types of attractions. The existence of a mathematical model that integrates the main factors related to the movement of independent tourists within a destination, in a dynamic way, will make possible the creation of an adaptable software tool. This tool will meet the specific needs of tourists, allowing the use of the network in an optimal way by the different tourist profiles, and the needs of the regional government and business, permitting better decisions and the offer of relevant tourism products. This article identifies the main tourists’ mobility criteria in the São Miguel island territory, Azores, Portugal, recognizes the necessary modelling process and identifies the basis for the construction of the mathematical model that explains the movement of tourists within the destination.