Browsing by Author "Oliveira, Anabela"
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- Chapter 12 - Modelling the effects of climate change in estuarine ecosystems with coupled hydrodynamic and biogeochemical modelsPublication . Rodrigues, Marta; Oliveira, Anabela; Queiroga, Henrique; Brotas, Vanda; Fortunato, André BustorffEstuaries are among the most productive ecosystems on Earth and provide multiple ecosystem services. They harbor ecologically important habitats for fish, shellfish, and birds and support diverse human activities (e.g., marine transportation, fishing, and tourism). However, climate change, together with the predicted increase of human activities, may increase the hazards in these systems and alter estuarine ecosystems dynamics. Coupled hydrodynamics and biogeochemical numerical models, which jointly simulate the physical, chemical, and biological processes at the relevant spatial and temporal scales, are useful tools to support climate change impact studies on estuarine ecosystems dynamics. A general overview of some well-established coupled hydrodynamic–biogeochemical models is presented and their use to support the study of climate change impacts on estuarine ecosystems is discussed. The use of coupled hydrodynamic–biogeochemical models to support the long-term, climate-adapt management of estuarine ecosystems and the definition of mitigation and adaptation strategies within a climate change context is demonstrated with a case study: the evaluation of climate change impacts in the lower trophic levels dynamics in the Aveiro lagoon using the model ECO-SELFE. Existing coupled hydrodynamic–biogeochemical models already have numerous benefits in climate change impact studies. Future research should improve these models’ capabilities to reduce limitations and uncertainties, in particular those related to the coupled representation of the physical and biological processes and their feedbacks over long time scales.
- Climatic and anthropogenic factors driving water quality variability in a shallow coastal lagoon (Aveiro lagoon, Portugal): 1985–2010 data analysisPublication . Rodrigues, Marta; Queiroga, Henrique; Oliveira, Anabela; Brotas, Vanda; D. Manso, MariaUnderstanding the natural variability of coastal ecosystems, and in particular distinguishing between the natural fluctuations and the ones that are caused by anthropogenic interventions and long-term climatic variability, is a major concern for establishing adequate management and adaptation strategies. The Aveiro lagoon, a shallow coastal lagoon (Portugal), holds one of the largest saltmarshes and saltpans in Europe and is a very important ecosystem from both economic and ecological viewpoints, making the protection of its water masses a requirement. To better understand the variability of its ecosystem, the factors controlling seasonal, inter-annual and long-term variability of the water quality in the Aveiro lagoon were thus analyzed. The statistical analysis was based on a set of climatic, hydrological and water quality observations undertaken between 1985 and 2010. Seasonal variations were mostly related with the seasonal variation of the main climatic and hydrological drivers, while long-term shifts were typically driven by the anthropogenic interventions in the lagoon. After the adoption of secondary treatment for industrial effluents on 1992, a recovery from hypoxia conditions occurred in the upstream area of the lagoon. After 2000 lower concentrations of silicates occurred downstream, and may also derive from some anthropogenic modifications (e.g., shunting of river water to the sewage system, deepening of the inlet) that may have affected the physical dynamics. In the downstream area of the lagoon, chlorophyll a presented a downward trend between 1985 and 2010 and lower concentrations after 2000, which were probably associated with the lower concentrations of silicates. Results from the data analysis showed that the seasonal, inter-annual and long-term trends observed in the Aveiro lagoon depend on the influence of both anthropogenic and climate drivers, putting in evidence the need to combine these different drivers when evaluating and developing management strategies for estuarine ecosystems.
- Multi-hazard WebGIS platform for coastal regionsPublication . Rocha, Miguel; Oliveira, Anabela; Freire, Paula; Fortunato, André B.; Nahon, Alphonse; Barros, José L.; Azevedo, Alberto; Oliveira, Filipa S. B. F.; Rogeiro, João; Jesus, Gonçalo; Martins, Ricardo J.; Santos, Pedro Pinto; Tavares, Alexandre O.; Oliveira, JoãoThe combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and extended to other coastal zones. The MOSAIC platform also provides access to a detailed database of past hazardous events, organized along several risk indicators, for the western coast of Portugal. The combination of features in the platform provides a unique repository of hazard information to support end-users for both emergency and long term risk planning actions.
- Type la glycogen storage disease complicated with diabetes mellitus: the role of flash continuous glucose monitoringPublication . Marcalo, Jose; Oliveira, Anabela; Nunes, Patricia Almeida; Vale, Sónia doA 22-year-old woman with type Ia glycogen storage disease was referred to the endocrinology department with new-onset diabetes mellitus-glycated haemoglobin (HbA1c) of 8.2%. She had suffered from repeated bouts of hypoglycaemia since the first days of her life. The diagnosis was made at 5 months old, after clinical investigations revealed mixed dyslipidaemia, lactic acidosis and hepatomegaly. Compound heterozygosity was documented at the age of 4. The basis of her initial treatment was starch and reinforced soy milk, ingested multiple times a day and night. The patient suffered from obesity since childhood. This case shows a rare association between glycogen storage disease type Ia and diabetes mellitus. A multidisciplinary approach was implemented. Through diet and use of flash continuous glucose monitoring, we were able to improve patient's adherence and metabolic profile. Hypoglycaemia and hyperglycaemia risk significantly decreased; 86% time in range (70-180 mg/dL), 6% hypoglycaemia and 6.3% HbA1c in recent evaluations.