6 resultados para ECOLOGICAL ANALYSIS
Resumo:
RESUMO - O início da crise económica global colocou Portugal num contexto de restrição orçamental que gerou repercussões em várias áreas, especificamente na saúde mental das pessoas, evidenciadas a partir de 2009. O objetivo deste trabalho foi analisar o impacto da crise económica no perfil de internamentos por Depressão Major na população em idade ativa nos hospitais do SNS em Portugal Continental. Tratou-se de um estudo epidemiológico, observacional, descritivo e transversal. Foi efetuada uma análise individual, concretizada através da análise dos episódios de internamento; e ecológica, ao nível de distritos; nos anos de 2008 e 2013. Foram analisados dados relativos aos episódios de internamento, à população em idade ativa e às camas de internamento de psiquiatria. Os resultados permitem afirmar que os distritos com menores índices de urbanização e de densidade populacional apresentaram taxas de internamento por Depressão Major, na população em idade ativa, mais elevadas, e os seus habitantes apresentaram um risco de internamento superior, em ambos os períodos. Observou-se um aumento da taxa de internamentos e do risco de internamento por Depressão Major, na maioria dos distritos, no período de crise económica. Adicionalmente, verificou-se que a taxa de internamentos foi influenciada positivamente pelo número de camas disponíveis e ocorreu um aumento do número de internamentos por Depressão Major por cama de internamento disponível, no período de crise económica. Este estudo, de carater exploratório e com limitações identificadas, permitiu observar a variação geográfica e temporal do internamento por Depressão Major fomentando a necessidade de investigação futura neste âmbito.
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Thesis submitted to the Faculty of Sciences and Technology, New University of Lisbon, for the degree of Doctor of Philosophy in Environmental Sciences
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Dissertação apresentada para obtenção do Grau de Doutor em Ambiente pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
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Based on the presentation and discussion at the 3rd Winter School on Technology Assessment, December 2012, Universidade Nova de Lisboa (Portugal), Caparica Campus, PhD programme on Technology Assessment
Resumo:
The forest has a crucial ecological role and the continuous forest loss can cause colossal effects on the environment. As Armenia is one of the low forest covered countries in the world, this problem is more critical. Continuous forest disturbances mainly caused by illegal logging started from the early 1990s had a huge damage on the forest ecosystem by decreasing the forest productivity and making more areas vulnerable to erosion. Another aspect of the Armenian forest is the lack of continuous monitoring and absence of accurate estimation of the level of cuts in some years. In order to have insight about the forest and the disturbances in the long period of time we used Landsat TM/ETM + images. Google Earth Engine JavaScript API was used, which is an online tool enabling the access and analysis of a great amount of satellite imagery. To overcome the data availability problem caused by the gap in the Landsat series in 1988- 1998, extensive cloud cover in the study area and the missing scan lines, we used pixel based compositing for the temporal window of leaf on vegetation (June-late September). Subsequently, pixel based linear regression analyses were performed. Vegetation indices derived from the 10 biannual composites for the years 1984-2014 were used for trend analysis. In order to derive the disturbances only in forests, forest cover layer was aggregated and the original composites were masked. It has been found, that around 23% of forests were disturbed during the study period.
Resumo:
This article argues that the study of literary representations of landscapes can be aided and enriched by the application of digital geographic technologies. As an example, the article focuses on the methods and preliminary findings of LITESCAPE.PT—Atlas of Literary Landscapes of Mainland Portugal, an on-going project that aims to study literary representations of mainland Portugal and to explore their connections with social and environmental realities both in the past and in the present. LITESCAPE.PT integrates traditional reading practices and ‘distant reading’ approaches, along with collaborative work, relational databases, and geographic information systems (GIS) in order to classify and analyse excerpts from 350 works of Portuguese literature according to a set of ecological, socioeconomic, temporal and cultural themes. As we argue herein this combination of qualitative and quantitative methods—itself a response to the difficulty of obtaining external funding—can lead to (a) increased productivity, (b) the pursuit of new research goals, and (c) the creation of new knowledge about natural and cultural history. As proof of concept, the article presents two initial outcomes of the LITESCAPE.PT project: a case study documenting the evolving literary geography of Lisbon and a case study exploring the representation of wolves in Portuguese literature.