Agriculture, settlement and society in Early Medieval Ireland

During the early medieval period, Ireland was politically organised into a large number of very small kingdoms. Unlike much of Western Europe, it had not been incorporated into the Roman Empire, and as a consequence, settlement remained exclusively rural in character until the Viking period. Extensive documentary, archaeological, zooarchaeological and macro-plant evidence provides a detailed reconstruction of the livestock and arable economy of the period. Cattle ownership formed the basis of wealth as well as being an indicator of status in society, and this is reflected in its clear dominance of the livestock economy during this period. From the eighth century onwards, however, cereal production appears to grow in importance as subsistence farming gave way to the production of agricultural surplus. This is reflected in cereal diversification and in the construction of watermills and more efficient grain-drying kilns. At the same time, settlement underwent significant changes and the relative importance of cattle in some areas began to decline.

Compositional data-driven alternatives to single geochemical component maps

Conventional practice in Regional Geochemistry includes as a final step of any geochemical campaign the generation of a series of maps, to show the spatial distribution of each of the components considered. Such maps, though necessary, do not comply with the compositional, relative nature of the data, which unfortunately make any conclusion based on them sensitive
to spurious correlation problems. This is one of the reasons why these maps are never interpreted isolated. This contribution aims at gathering a series of statistical methods to produce individual maps of multiplicative combinations of components (logcontrasts), much in the flavor of equilibrium constants, which are designed on purpose to capture certain aspects of the data.
We distinguish between supervised and unsupervised methods, where the first require an external, non-compositional variable (besides the compositional geochemical information) available in an analogous training set. This external variable can be a quantity (soil density, collocated magnetics, collocated ratio of Th/U spectral gamma counts, proportion of clay particle fraction, etc) or a category (rock type, land use type, etc). In the supervised methods, a regression-like model between the external variable and the geochemical composition is derived in the training set, and then this model is mapped on the whole region. This case is illustrated with the Tellus dataset, covering Northern Ireland at a density of 1 soil sample per 2 square km, where we map the presence of blanket peat and the underlying geology. The unsupervised methods considered include principal components and principal balances
(Pawlowsky-Glahn et al., CoDaWork2013), i.e. logcontrasts of the data that are devised to capture very large variability or else be quasi-constant. Using the Tellus dataset again, it is found that geological features are highlighted by the quasi-constant ratios Hf/Nb and their ratio against SiO2; Rb/K2O and Zr/Na2O and the balance between these two groups of two variables; the balance of Al2O3 and TiO2 vs. MgO; or the balance of Cr, Ni and Co vs. V and Fe2O3. The largest variability appears to be related to the presence/absence of peat.

Potential impacts of climate change on agriculture and food safety within the island of Ireland

Climate and other environmental change presents a number of challenges for effective food safety. Food production, distribution and consumption takes place within functioning ecosystems but this backdrop is often ignored or treated as static and unchanging. The risks presented by environmental change include novel pests and diseases, often caused by problem species expanding their spatial distributions as they track changing conditions, toxin generation in crops, direct effects on crop and animal production, consequences for trade networks driven by shifting economic viability of production methods in changing environments and finally, wholesale transformation of ecosystems as they respond to novel climatic regimes.

A decision support system for managing irrigation in agriculture

In this paper, an automatic Smart Irrigation Decision Support System, SIDSS, is proposed to manage irrigation in agriculture. Our system estimates the weekly irrigations needs of a plantation, on the basis of both soil measurements and climatic variables gathered by several autonomous nodes deployed in field. This enables a closed loop control scheme to adapt the decision support system to local perturbations and estimation errors. Two machine learning techniques, PLSR and ANFIS, are proposed as reasoning engine of our SIDSS. Our approach is validated on three commercial plantations of citrus trees located in the South-East of Spain. Performance is tested against decisions taken by a human expert.

Representaciones sociales de la depresión de los habitantes del barrio la legua de Santiago de Chile

Esta investigación tiene como objetivo aprehender y analizar las representaciones sociales sobre la depresión elaboradas por los habitantes del barrio La Legua en Santiago de Chile. Participaron en esta investigación 200 habitantes del barrio La Legua, de ambos sexos, mayores de 18 años. Los dispositivos de recogida de datos fueron el Cuestionario de Asociación Libre de Palabras y el Inventario de Depresión de Beck BDI-II. Los datos obtenidos por el cuestionario fueron tratados por medio de los software Evoc, Simi y Tri-Deux y analizados de acuerdo al abordaje estructural de las representaciones sociales y análisis factorial de correspondecia (AFC). Los datos obtenidos por medio del BDI-II fueron procesados a través del software SPSS. En las conclusiones se problematiza la relación entre los distintos factores asociados a la depresión en el contexto particular de La Legua y las representaciones sociales construidas por sus habitantes. Se observó que los elementos de mayor consensualidad fueron tristeza, angustia, problemas y enfermedad. Las divergencias fueron moderadas. Se percibe que para los habitantes del barrio La Legua la depresión está fuertemente asociada a la esfera afectiva, pero se infiere que también es el resultado de la complejidad del entorno social; RESUMO: Esta pesquisa teve como objectivo principal apreender e analisar as representações sociais da depressão desenvolvidas pelos habitantes do bairro La Legua no Santiago de Chile. Participaram na pesquisa 200 habitantes do bairro, de ambos os sexos, com mais de 18 anos. A recolha de dados foi feita através de questionário, utilizando a Técnica de Associação Livre de Palavras e Beck Depression Inventory BDI-II. Os dados obtidos por associação livre de palavras foram tratados usando software Evoc, Simi e Tri-Deux e analisados segundo a abordagem estrutural das representações sociais e análise fatorial de correspondência (AFC). Os dados obtidos pelo BDI-II foram processados através do software SPSS. As conclusões questionam a relação entre os diferentes factores associados à depressão no contexto particular do bairro La Legua e as representações sociais desenvolvidas pelos seus habitantes. Observou-se que os elementos de maior consensualidade foram a tristeza, a angústia, os problemas e a doença. As divergências encontradas foram moderadas. Percebe-se que para os habitantes do bairro La Legua a depressão está fortemente associada à esfera afectiva mas infere-se igualmente que também resulta da complexidade do meio social; ABSTRACT: This research aims to understand and analyze social representations of depression held by inhabitants of La Legua neighborhood in Santiago, Chile. A total of 200 inhabitants, of both genders older than 18 years of age participated in the study. The instruments used were: Free Technique of Word Association and Beck Depression Inventory BDI-II. The data obtained by the free technique of word association were processed using software Evoc, Simi and Tri-Deux and analyzed through the structural perspective of the social representations and the factorial analysis of correspondence (AFC). The data obtained by the BDI-II were processed using software SPSS. In conclusion, the discussion is about the association of the different factors of depression in this specific context and the social representations elaborated by the inhabitants of La Legua neighborhood. It was observed that the most consensuality elements were sadness, anxiety, problems and disease. The differences were moderate. It is perceived that for inhabitants of La Legua neighborhood depression is strongly associated with the affective sphere, but it appears that it is also the result of the complexity of the social environment.

Cartografia geoquímica da ilha de Santiago com uma densidade de amostragem média/baixa

A ilha de Santiago é a maior do arquipélago de Cabo Verde, apresenta uma área de 991 km2, com um comprimento e largura máximos de 54,9 km e 29 km, respectivamente, e 1392 m de maior altitude. As condições climáticas e a erosão são alguns dos problemas naturais do arquipélago de Cabo Verde. Além disso, a intervenção humana no ambiente superficial revela-se muitas vezes inadequada e com forte impacto. A construção em solos com aptidão agrícola ou florestal, as actividades industriais, a deposição de materiais sólidos ou líquidos de forma inadequada, as práticas agrícolas incorrectas e intensivas, o uso abusivo de pesticidas e fertilizantes, a rega com água contaminada, a sobreexploração de aquíferos que levam muitas vezes à salinização, etc. têm enorme impacto em termos de contaminação de solos, águas superficiais e subterrâneas nas áreas envolventes. Por conseguinte, o conhecimento da variabilidade geoquímica natural é fundamental para a resolução de questões de índole económica, ambiental e de ordenamento do território, médica, e jurídica. A necessidade de construir uma base de dados de geoquímica georeferenciada que caracterize o ambiente superficial da ilha de Santiago foi a principal motivação para a realização deste estudo. Realizou-se um levantamento geoquímico de 337 amostras de sedimentos de corrente e 249 amostras de solos na ilha de Santiago, tendo sido seguidas as recomendações do Projecto Internacional IGCP 259 não só na fase de amostragem, mas também nas fases seguintes de preparação, análise, tratamento dos dados e elaboração de mapas. Determinaram-se os teores, na fracção < 2 mm, para 36 elementos – 9 elementos maiores (Al, Ca, Fe, K, Mg, Mn, Na, P, Ti) e 27 elementos vestigiais (Ag, As, Au, B, Ba, Bi, Cd, Co, Cr, Cu, Ga, Hg, La, Mo, Ni, Pb, S, Sb, Sc, Se, Sr, Th, Tl, U, V, W, Zn). Efectuou-se ainda a análise textural e estudou-se a composição mineralógica de cerca de 25% das amostras. Analisaram-se, também, 103 amostras de rochas, colhidas nas várias formações da ilha de Santiago, tendo sido determinados os teores de K2O, Na2O, Fe2O3(T), MnO, Sc, Cr, Co, Zn, Ga, As, Br, Rb, Zr, Sb, Cs, Ba, Hf, Ta, W, Th e U e REE, a fim de se fazer uma comparação com os teores destes elementos encontrados nos solos e sedimentos de corrente, averiguando se a sua variação é ou não essencialmente condicionada pela geoquímica da rocha-mãe. Os padrões geoquímicos obtidos através dos mapas de distribuição espacial foram correlacionados com a natureza da rocha mãe, o tipo de solo, e ainda com algumas fontes de contaminação. A interpretação dos resultados foi realizada não só pela observação dos mapas geoquímicos, mas também após análise estatística dos conjuntos de dados obtidos, e apoiada em informação diversa disponível. A utilização da Análise de Componentes Principais permitiu distinguir associações entre elementos químicos, quer de origem geogénica quer antropogénica. Foram ainda elaborados mapas de distribuição espacial de vários índices multielementares de importância ambiental, como o Índice de Acidificação Al/(Ca+Mg+K), Índice de Combi, Índice de Avaliação de Risco Ambiental e Índices de Enriquecimento/Contaminação para vários grupos de elementos considerados como “primary pollutant metals”.

Valuing water in irrigated agriculture and fisheries in a reservoir of Sri Lanka

Dissertação de Mestrado, Gestão da Água e da Costa, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2007

Medium-term prospects for portuguese agriculture under health check Proposals: a quantitative analysis with the CAPRI modelling system

The challenges of Common Agricultural Policy are driven by internal and external factors, such as the budgetary constraints, the budget reform, the globalization and the world financial crisis. According to this work results, CAP will continue its evolution from a sectorial to a territorial approach, with a slow re-balance of its two pillars. The Portuguese agriculture will slowly adjust itself to the disappearance of prices and markets policy and the reinforcement of rural development policy. As in the past, agriculture will accommodate the reform effects and adjust to a new framework without sudden brakes or disclosers.

Assessing soil erosion due to land use change at the Alqueva reservoir surrounding area

Tese de doutoramento, Ciências do Mar, da Terra e do Ambiente, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Regional Knowledge Maps - Potential and Challenges

Regional knowledge map is a tool recently demanded by some actors in an institutional level to help regional policy and innovation in a territory. Besides, knowledge maps facilitate the interaction between the actors of a territory and the collective learning. This paper reports the work in progress of a research project which objective is to define a methodology to efficiently design territorial knowledge maps, by extracting information of big volumes of data contained in diverse sources of information related to a region. Knowledge maps facilitate management of the intellectual capital in organisations. This paper investigates the value to apply this tool to a territorial region to manage the structures, infrastructures and the resources to enable regional innovation and regional development. Their design involves the identification of information sources that are required to find which knowledge is located in a territory, which actors are involved in innovation, and which is the context to develop this innovation (structures, infrastructures, resources and social capital). This paper summarizes the theoretical background and framework for the design of a methodology for the construction of knowledge maps, and gives an overview of the main challenges for the design of regional knowledge maps.

Challenges and Potentials for Keyword Extraction from Company Websites for the Development of Regional Knowledge Maps

Regional Innovation Systems describe the relations between actors, structures and infrastructures in a region in order to stimulate innovation and regional development. For these systems the collection and organization of information is crucial. In the present paper we investigate the possibilities to extract information from websites of companies. First we describe regional innovation systems and the information types that are necessary to create them. Then we discuss the possibilities of text mining and keyword extraction techniques to extract this information from company websites. Finally, we describe a small scale experiment in which keywords related to economic sectors and commodities are extracted from the websites of over 200 companies. This experiment shows what the main challenges are for information extraction from websites for regional innovation systems.

A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.