Towards mitigation of greenhouse gases by small changes in farming practices: understanding local barriers in Spain.

Small changes in agricultural practices have a large potential for reducing greenhouse gas emissions. However, the implementation of such practices at the local level is often limited by a range of barriers. Understanding the barriers is essential for defining effective measures, the actual mitigation potential of the measures, and the policy needs to ensure implementation. Here we evaluate behavioural, cultural, and policy barriers for implementation of mitigation practices at the local level that imply small changes to farmers. The choice of potential mitigation practices relevant to the case study is based on a literature review of previous empirical studies. Two methods that include the stakeholders? involvement (experts and farmers) are undertaken for the prioritization of these potential practices: (a) Multi-criteria analysis (MCA) of the choices of an expert panel and (b) Analysis of barriers to implementation based on a survey of farmers. The MCA considers two future climate scenarios ? current climate and a drier and warmer climate scenario. Results suggest that all potential selected practices are suitable for mitigation considering multiple criteria in both scenarios. Nevertheless, if all the barriers for implementation had the same influence, the preferred mitigation practices in the case study would be changes in fertilization management and use of cover crops. The identification of barriers for the implementation of the practices is based on the econometric analysis of surveys given to farmers. Results show that farmers? environmental concerns, financial incentives and access to technical advice are the main factors that define their barriers to implementation. These results may contribute to develop effective mitigation policy to be included in the 2020 review of the European Union Common Agricultural Policy.

Subjective quality study of adaptive streaming of monoscopic and stereoscopic video

Nowadays, HTTP adaptive streaming (HAS) has become a reliable distribution technology offering significant advantages in terms of both user perceived Quality of Experience (QoE) and resource utilization for content and network service providers. By trading-off the video quality, HAS is able to adapt to the available bandwidth and display requirements so that it can deliver the video content to a variety of devices over the Internet. However, until now there is not enough knowledge of how the adaptation techniques affect the end user's visual experience. Therefore, this paper presents a comparative analysis of different bitrate adaptation strategies in adaptive streaming of monoscopic and stereoscopic video. This has been done through a subjective experiment of testing the end-user response to the video quality variations, considering the visual comfort issue. The experimental outcomes have made a good insight into the factors that can influence on the QoE of different adaptation strategies.

Effect of content characteristics on quality of experience of adaptive streaming

The growing popularity of adaptive streaming-based video delivery nowadays has raised the interest about the user's perception when experiencing quality adaptation. The impact of the video content characteristics on user's perceptual quality has already become evident. The aim of this study is to investigate the influence of this factor on the quality of experience of adaptive streaming scenarios. Our results show that the perceptual quality of adaptation strategies applied on videos with high spatial and low temporal amount of activity is significantly lower compared to the other content types.

Climate variability effects on field crops in Iberian Peninsula. Predictability

La presente Tesis constituye un avance en el conocimiento de los efectos de la variabilidad climática en los cultivos en la Península Ibérica (PI). Es bien conocido que la temperatura del océano, particularmente de la región tropical, es una de las variables más convenientes para ser utilizado como predictor climático. Los océanos son considerados como la principal fuente de almacenamiento de calor del planeta debido a la alta capacidad calorífica del agua. Cuando se libera esta energía, altera los regímenes globales de circulación atmosférica por mecanismos de teleconexión. Estos cambios en la circulación general de la atmósfera afectan a la temperatura, precipitación, humedad, viento, etc., a escala regional, los cuales afectan al crecimiento, desarrollo y rendimiento de los cultivos. Para el caso de Europa, esto implica que la variabilidad atmosférica en una región específica se asocia con la variabilidad de otras regiones adyacentes y/o remotas, como consecuencia Europa está siendo afectada por los patrones de circulaciones globales, que a su vez, se ven afectados por patrones oceánicos. El objetivo general de esta tesis es analizar la variabilidad del rendimiento de los cultivos y su relación con la variabilidad climática y teleconexiones, así como evaluar su predictibilidad. Además, esta Tesis tiene como objetivo establecer una metodología para estudiar la predictibilidad de las anomalías del rendimiento de los cultivos. El análisis se centra en trigo y maíz como referencia para otros cultivos de la PI, cultivos de invierno en secano y cultivos de verano en regadío respectivamente. Experimentos de simulación de cultivos utilizando una metodología en cadena de modelos (clima + cultivos) son diseñados para evaluar los impactos de los patrones de variabilidad climática en el rendimiento y su predictibilidad. La presente Tesis se estructura en dos partes: La primera se centra en el análisis de la variabilidad del clima y la segunda es una aplicación de predicción cuantitativa de cosechas. La primera parte está dividida en 3 capítulos y la segundo en un capitulo cubriendo los objetivos específicos del presente trabajo de investigación. Parte I. Análisis de variabilidad climática El primer capítulo muestra un análisis de la variabilidad del rendimiento potencial en una localidad como indicador bioclimático de las teleconexiones de El Niño con Europa, mostrando su importancia en la mejora de predictibilidad tanto en clima como en agricultura. Además, se presenta la metodología elegida para relacionar el rendimiento con las variables atmosféricas y oceánicas. El rendimiento de los cultivos es parcialmente determinado por la variabilidad climática atmosférica, que a su vez depende de los cambios en la temperatura de la superficie del mar (TSM). El Niño es el principal modo de variabilidad interanual de la TSM, y sus efectos se extienden en todo el mundo. Sin embargo, la predictibilidad de estos impactos es controversial, especialmente aquellos asociados con la variabilidad climática Europea, que se ha encontrado que es no estacionaria y no lineal. Este estudio mostró cómo el rendimiento potencial de los cultivos obtenidos a partir de datos de reanálisis y modelos de cultivos sirve como un índice alternativo y más eficaz de las teleconexiones de El Niño, ya que integra las no linealidades entre las variables climáticas en una única serie temporal. Las relaciones entre El Niño y las anomalías de rendimiento de los cultivos son más significativas que las contribuciones individuales de cada una de las variables atmosféricas utilizadas como entrada en el modelo de cultivo. Además, la no estacionariedad entre El Niño y la variabilidad climática europea se detectan con mayor claridad cuando se analiza la variabilidad de los rendimiento de los cultivos. La comprensión de esta relación permite una cierta predictibilidad hasta un año antes de la cosecha del cultivo. Esta predictibilidad no es constante, sino que depende tanto la modulación de la alta y baja frecuencia. En el segundo capítulo se identifica los patrones oceánicos y atmosféricos de variabilidad climática que afectan a los cultivos de verano en la PI. Además, se presentan hipótesis acerca del mecanismo eco-fisiológico a través del cual el cultivo responde. Este estudio se centra en el análisis de la variabilidad del rendimiento de maíz en la PI para todo el siglo veinte, usando un modelo de cultivo calibrado en 5 localidades españolas y datos climáticos de reanálisis para obtener series temporales largas de rendimiento potencial. Este estudio evalúa el uso de datos de reanálisis para obtener series de rendimiento de cultivos que dependen solo del clima, y utilizar estos rendimientos para analizar la influencia de los patrones oceánicos y atmosféricos. Los resultados muestran una gran fiabilidad de los datos de reanálisis. La distribución espacial asociada a la primera componente principal de la variabilidad del rendimiento muestra un comportamiento similar en todos los lugares estudiados de la PI. Se observa una alta correlación lineal entre el índice de El Niño y el rendimiento, pero no es estacionaria en el tiempo. Sin embargo, la relación entre la temperatura del aire y el rendimiento se mantiene constante a lo largo del tiempo, siendo los meses de mayor influencia durante el período de llenado del grano. En cuanto a los patrones atmosféricos, el patrón Escandinavia presentó una influencia significativa en el rendimiento en PI. En el tercer capítulo se identifica los patrones oceánicos y atmosféricos de variabilidad climática que afectan a los cultivos de invierno en la PI. Además, se presentan hipótesis acerca del mecanismo eco-fisiológico a través del cual el cultivo responde. Este estudio se centra en el análisis de la variabilidad del rendimiento de trigo en secano del Noreste (NE) de la PI. La variabilidad climática es el principal motor de los cambios en el crecimiento, desarrollo y rendimiento de los cultivos, especialmente en los sistemas de producción en secano. En la PI, los rendimientos de trigo son fuertemente dependientes de la cantidad de precipitación estacional y la distribución temporal de las mismas durante el periodo de crecimiento del cultivo. La principal fuente de variabilidad interanual de la precipitación en la PI es la Oscilación del Atlántico Norte (NAO), que se ha relacionado, en parte, con los cambios en la temperatura de la superficie del mar en el Pacífico Tropical (El Niño) y el Atlántico Tropical (TNA). La existencia de cierta predictibilidad nos ha animado a analizar la posible predicción de los rendimientos de trigo en la PI utilizando anomalías de TSM como predictor. Para ello, se ha utilizado un modelo de cultivo (calibrado en dos localidades del NE de la PI) y datos climáticos de reanálisis para obtener series temporales largas de rendimiento de trigo alcanzable y relacionar su variabilidad con anomalías de la TSM. Los resultados muestran que El Niño y la TNA influyen en el desarrollo y rendimiento del trigo en el NE de la PI, y estos impactos depende del estado concurrente de la NAO. Aunque la relación cultivo-TSM no es igual durante todo el periodo analizado, se puede explicar por un mecanismo eco-fisiológico estacionario. Durante la segunda mitad del siglo veinte, el calentamiento (enfriamiento) en la superficie del Atlántico tropical se asocia a una fase negativa (positiva) de la NAO, que ejerce una influencia positiva (negativa) en la temperatura mínima y precipitación durante el invierno y, por lo tanto, aumenta (disminuye) el rendimiento de trigo en la PI. En relación con El Niño, la correlación más alta se observó en el período 1981 -2001. En estas décadas, los altos (bajos) rendimientos se asocian con una transición El Niño - La Niña (La Niña - El Niño) o con eventos de El Niño (La Niña) que están finalizando. Para estos eventos, el patrón atmosférica asociada se asemeja a la NAO, que también influye directamente en la temperatura máxima y precipitación experimentadas por el cultivo durante la floración y llenado de grano. Los co- efectos de los dos patrones de teleconexión oceánicos ayudan a aumentar (disminuir) la precipitación y a disminuir (aumentar) la temperatura máxima en PI, por lo tanto el rendimiento de trigo aumenta (disminuye). Parte II. Predicción de cultivos. En el último capítulo se analiza los beneficios potenciales del uso de predicciones climáticas estacionales (por ejemplo de precipitación) en las predicciones de rendimientos de trigo y maíz, y explora métodos para aplicar dichos pronósticos climáticos en modelos de cultivo. Las predicciones climáticas estacionales tienen un gran potencial en las predicciones de cultivos, contribuyendo de esta manera a una mayor eficiencia de la gestión agrícola, seguridad alimentaria y de subsistencia. Los pronósticos climáticos se expresan en diferentes formas, sin embargo todos ellos son probabilísticos. Para ello, se evalúan y aplican dos métodos para desagregar las predicciones climáticas estacionales en datos diarios: 1) un generador climático estocástico condicionado (predictWTD) y 2) un simple re-muestreador basado en las probabilidades del pronóstico (FResampler1). Los dos métodos se evaluaron en un caso de estudio en el que se analizaron los impactos de tres escenarios de predicciones de precipitación estacional (predicción seco, medio y lluvioso) en el rendimiento de trigo en secano, sobre las necesidades de riego y rendimiento de maíz en la PI. Además, se estimó el margen bruto y los riesgos de la producción asociada con las predicciones de precipitación estacional extremas (seca y lluviosa). Los métodos predWTD y FResampler1 usados para desagregar los pronósticos de precipitación estacional en datos diarios, que serán usados como inputs en los modelos de cultivos, proporcionan una predicción comparable. Por lo tanto, ambos métodos parecen opciones factibles/viables para la vinculación de los pronósticos estacionales con modelos de simulación de cultivos para establecer predicciones de rendimiento o las necesidades de riego en el caso de maíz. El análisis del impacto en el margen bruto de los precios del grano de los dos cultivos (trigo y maíz) y el coste de riego (maíz) sugieren que la combinación de los precios de mercado previstos y la predicción climática estacional pueden ser una buena herramienta en la toma de decisiones de los agricultores, especialmente en predicciones secas y/o localidades con baja precipitación anual. Estos métodos permiten cuantificar los beneficios y riesgos de los agricultores ante una predicción climática estacional en la PI. Por lo tanto, seríamos capaces de establecer sistemas de alerta temprana y diseñar estrategias de adaptación del manejo del cultivo para aprovechar las condiciones favorables o reducir los efectos de condiciones adversas. La utilidad potencial de esta Tesis es la aplicación de las relaciones encontradas para predicción de cosechas de la próxima campaña agrícola. Una correcta predicción de los rendimientos podría ayudar a los agricultores a planear con antelación sus prácticas agronómicas y todos los demás aspectos relacionados con el manejo de los cultivos. Esta metodología se puede utilizar también para la predicción de las tendencias futuras de la variabilidad del rendimiento en la PI. Tanto los sectores públicos (mejora de la planificación agrícola) como privados (agricultores, compañías de seguros agrarios) pueden beneficiarse de esta mejora en la predicción de cosechas. ABSTRACT The present thesis constitutes a step forward in advancing of knowledge of the effects of climate variability on crops in the Iberian Peninsula (IP). It is well known that ocean temperature, particularly the tropical ocean, is one of the most convenient variables to be used as climate predictor. Oceans are considered as the principal heat storage of the planet due to the high heat capacity of water. When this energy is released, it alters the global atmospheric circulation regimes by teleconnection1 mechanisms. These changes in the general circulation of the atmosphere affect the regional temperature, precipitation, moisture, wind, etc., and those influence crop growth, development and yield. For the case of Europe, this implies that the atmospheric variability in a specific region is associated with the variability of others adjacent and/or remote regions as a consequence of Europe being affected by global circulations patterns which, in turn, are affected by oceanic patterns. The general objective of this Thesis is to analyze the variability of crop yields at climate time scales and its relation to the climate variability and teleconnections, as well as to evaluate their predictability. Moreover, this Thesis aims to establish a methodology to study the predictability of crop yield anomalies. The analysis focuses on wheat and maize as a reference crops for other field crops in the IP, for winter rainfed crops and summer irrigated crops respectively. Crop simulation experiments using a model chain methodology (climate + crop) are designed to evaluate the impacts of climate variability patterns on yield and its predictability. The present Thesis is structured in two parts. The first part is focused on the climate variability analyses, and the second part is an application of the quantitative crop forecasting for years that fulfill specific conditions identified in the first part. This Thesis is divided into 4 chapters, covering the specific objectives of the present research work. Part I. Climate variability analyses The first chapter shows an analysis of potential yield variability in one location, as a bioclimatic indicator of the El Niño teleconnections with Europe, putting forward its importance for improving predictability in both climate and agriculture. It also presents the chosen methodology to relate yield with atmospheric and oceanic variables. Crop yield is partially determined by atmospheric climate variability, which in turn depends on changes in the sea surface temperature (SST). El Niño is the leading mode of SST interannual variability, and its impacts extend worldwide. Nevertheless, the predictability of these impacts is controversial, especially those associated with European climate variability, which have been found to be non-stationary and non-linear. The study showed how potential2 crop yield obtained from reanalysis data and crop models serves as an alternative and more effective index of El Niño teleconnections because it integrates the nonlinearities between the climate variables in a unique time series. The relationships between El Niño and crop yield anomalies are more significant than the individual contributions of each of the atmospheric variables used as input in the crop model. Additionally, the non-stationarities between El Niño and European climate variability are more clearly detected when analyzing crop-yield variability. The understanding of this relationship allows for some predictability up to one year before the crop is harvested. This predictability is not constant, but depends on both high and low frequency modulation. The second chapter identifies the oceanic and atmospheric patterns of climate variability affecting summer cropping systems in the IP. Moreover, hypotheses about the eco-physiological mechanism behind crop response are presented. It is focused on an analysis of maize yield variability in IP for the whole twenty century, using a calibrated crop model at five contrasting Spanish locations and reanalyses climate datasets to obtain long time series of potential yield. The study tests the use of reanalysis data for obtaining only climate dependent time series of simulated crop yield for the whole region, and to use these yield to analyze the influences of oceanic and atmospheric patterns. The results show a good reliability of reanalysis data. The spatial distribution of the leading principal component of yield variability shows a similar behaviour over all the studied locations in the IP. The strong linear correlation between El Niño index and yield is remarkable, being this relation non-stationary on time, although the air temperature-yield relationship remains on time, being the highest influences during grain filling period. Regarding atmospheric patterns, the summer Scandinavian pattern has significant influence on yield in IP. The third chapter identifies the oceanic and atmospheric patterns of climate variability affecting winter cropping systems in the IP. Also, hypotheses about the eco-physiological mechanism behind crop response are presented. It is focused on an analysis of rainfed wheat yield variability in IP. Climate variability is the main driver of changes in crop growth, development and yield, especially for rainfed production systems. In IP, wheat yields are strongly dependent on seasonal rainfall amount and temporal distribution of rainfall during the growing season. The major source of precipitation interannual variability in IP is the North Atlantic Oscillation (NAO) which has been related in part with changes in the Tropical Pacific (El Niño) and Atlantic (TNA) sea surface temperature (SST). The existence of some predictability has encouraged us to analyze the possible predictability of the wheat yield in the IP using SSTs anomalies as predictor. For this purpose, a crop model with a site specific calibration for the Northeast of IP and reanalysis climate datasets have been used to obtain long time series of attainable wheat yield and relate their variability with SST anomalies. The results show that El Niño and TNA influence rainfed wheat development and yield in IP and these impacts depend on the concurrent state of the NAO. Although crop-SST relationships do not equally hold on during the whole analyzed period, they can be explained by an understood and stationary ecophysiological mechanism. During the second half of the twenty century, the positive (negative) TNA index is associated to a negative (positive) phase of NAO, which exerts a positive (negative) influence on minimum temperatures (Tmin) and precipitation (Prec) during winter and, thus, yield increases (decreases) in IP. In relation to El Niño, the highest correlation takes place in the period 1981-2001. For these decades, high (low) yields are associated with an El Niño to La Niña (La Niña to El Niño) transitions or to El Niño events finishing. For these events, the regional associated atmospheric pattern resembles the NAO, which also influences directly on the maximum temperatures (Tmax) and precipitation experienced by the crop during flowering and grain filling. The co-effects of the two teleconnection patterns help to increase (decrease) the rainfall and decrease (increase) Tmax in IP, thus on increase (decrease) wheat yield. Part II. Crop forecasting The last chapter analyses the potential benefits for wheat and maize yields prediction from using seasonal climate forecasts (precipitation), and explores methods to apply such a climate forecast to crop models. Seasonal climate prediction has significant potential to contribute to the efficiency of agricultural management, and to food and livelihood security. Climate forecasts come in different forms, but probabilistic. For this purpose, two methods were evaluated and applied for disaggregating seasonal climate forecast into daily weather realizations: 1) a conditioned stochastic weather generator (predictWTD) and 2) a simple forecast probability resampler (FResampler1). The two methods were evaluated in a case study where the impacts of three scenarios of seasonal rainfall forecasts on rainfed wheat yield, on irrigation requirements and yields of maize in IP were analyzed. In addition, we estimated the economic margins and production risks associated with extreme scenarios of seasonal rainfall forecasts (dry and wet). The predWTD and FResampler1 methods used for disaggregating seasonal rainfall forecast into daily data needed by the crop simulation models provided comparable predictability. Therefore both methods seem feasible options for linking seasonal forecasts with crop simulation models for establishing yield forecasts or irrigation water requirements. The analysis of the impact on gross margin of grain prices for both crops and maize irrigation costs suggests the combination of market prices expected and the seasonal climate forecast can be a good tool in farmer’s decision-making, especially on dry forecast and/or in locations with low annual precipitation. These methodologies would allow quantifying the benefits and risks of a seasonal weather forecast to farmers in IP. Therefore, we would be able to establish early warning systems and to design crop management adaptation strategies that take advantage of favorable conditions or reduce the effect of adverse conditions. The potential usefulness of this Thesis is to apply the relationships found to crop forecasting on the next cropping season, suggesting opportunity time windows for the prediction. The methodology can be used as well for the prediction of future trends of IP yield variability. Both public (improvement of agricultural planning) and private (decision support to farmers, insurance companies) sectors may benefit from such an improvement of crop forecasting.

La casa crecedera. El crecimiento programado de la vivienda con innovación europea y economía de medios latinoamericana

El concepto de casa crecedera, tal y como lo conocemos en la actualidad, se acuñó por primera vez en 1932 en el concurso Das Wachsende Haus organizado por Martin Wagner y Hans Poelzig dentro del marco de la Exposición Internacional Sonne, Luft und Haus für alle, promovida por la Oficina de Turismo de la ciudad de Berlín. En dicho concurso, se definía este tipo de vivienda como aquella célula básica o vivienda semilla que, dependiendo de las necesidades y posibilidades de los habitantes, podía crecer mediante otras estancias, conformando una vivienda completa en sí misma en cada fase de crecimiento. Numerosos arquitectos de primer orden, tales como Walter Gropius, Bruno Taut, Erich Mendelsohn o Hans Scharoun, participaron en este concurso, abriendo una nueva vía de exploración dentro de la vivienda flexible, la del crecimiento programado. A partir de ese momento, en Europa, y subsecuentemente en EEUU y otras regiones desarrolladas, se iniciaron numerosas investigaciones teóricas y prácticas en torno al fenómeno del crecimiento en la vivienda desde un enfoque vinculado a la innovación, tanto espacial como técnica. Por otro lado, aunque dentro del marco de la arquitectura popular de otros países, ya se ensayaban viviendas crecederas desde el siglo XVIII debido a que, por su tamaño, eran más asequibles dentro del mercado. Desde los años treinta, numerosos países en vías de desarrollo tuvieron que lidiar con migraciones masivas del campo a la ciudad, por lo que se construyeron grandes conjuntos habitacionales que, en numerosos casos, estaban conformados por viviendas crecederas. En todos ellos, la aproximación al crecimiento de la vivienda se daba desde una perspectiva diferente a la de los países desarrollados. Se primaba la economía de medios, el uso de sistemas constructivos de bajo costo y, en muchos casos, se fomentaba incluso la autoconstrucción guiada, frente a las construcciones prefabricadas ensambladas por técnicos especializados que se proponían, por ejemplo, en los casos europeos. Para realizar esta investigación, se recopiló información de estas y otras viviendas. A continuación, se identificaron distintas maneras de producir el crecimiento, atendiendo a su posición relativa respecto de la vivienda semilla, a las que se denominó mecanismos de ampliación, utilizados indistintamente sin tener en cuenta la ubicación geográfica de cada casa. La cuestión de porqué se prefiere un mecanismo en lugar de otro en un caso determinado, desencadenó el principal objetivo de esta Tesis: la elaboración de un sistema de análisis y diagnóstico de la vivienda crecedera que, de acuerdo a determinados parámetros, permitiera indicar cuál es la ampliación o sucesión de ampliaciones óptimas para una familia concreta, en una ubicación establecida. Se partió de la idea de que el crecimiento de la vivienda está estrechamente ligado a la evolución de la unidad de convivencia que reside en ella, de manera que la casa se transformó en un hábitat dinámico. Además se atendió a la complejidad y variabilidad del fenómeno, sujeto a numerosos factores socio-económicos difícilmente previsibles en el tiempo, pero fácilmente monitorizables según unos patrones determinados vinculados a la normatividad, el número de habitantes, el ahorro medio, etc. Como consecuencia, para el diseño del sistema de optimización de la vivienda crecedera, se utilizaron patrones evolutivos. Dichos patrones, alejados ya del concepto espacial y morfológico usualmente utilizado en arquitectura por figuras como C. Alexander o J. Habraken, pasaron a entenderse como una secuencia de eventos en el tiempo (espaciales, sociales, económicos, legales, etc.), que describen el proceso de transformación y que son peculiares de cada vivienda. De esta manera, el tiempo adquirió una especial importancia al convertirse en otro material más del proyecto arquitectónico. Fue en la construcción de los patrones donde se identificaron los mencionados mecanismos de ampliación, entendidos también como sistemas de compactación de la ciudad a través de la ocupación tridimensional del espacio. Al estudiar la densidad, mediante los conceptos de holgura y hacinamiento, se aceptó la congestión de las ciudades como un valor positivo. De esta forma, las posibles transformaciones realizadas por los habitantes (previstas desde un inicio) sobre el escenario del habitar (vivienda semilla), se convirtieron también en herramientas de proyecto urbano que responden a condicionantes del lugar y de los habitantes con distintas intensidades de crecimiento, ocupación y densidad. Igualmente, en el proceso de diseño del sistema de optimización, se detectaron las estrategias para la adaptabilidad y transformación de la casa crecedera, es decir, aquella serie de acciones encaminadas a la alteración de la vivienda para facilitar su ampliación, y que engloban desde sistemas constructivos en espera, que facilitan las costuras entre crecimiento y vivienda semilla, hasta sistemas espaciales que permiten que la casa altere su uso transformándose en un hábitat productivo o en un artefacto de renta. Así como los mecanismos de ampliación están asociados a la morfología, se descubrió que su uso es independiente de la localización, y que las estrategias de adaptabilidad de la vivienda se encuentran ligadas a sistemas constructivos o procesos de gestión vinculados a una región concreta. De esta manera, la combinación de los mecanismos con las estrategias caracterizan el proceso de evolución de la vivienda, vinculándola a unos determinados condicionantes sociales, geográficos y por tanto, constructivos. Finalmente, a través de la adecuada combinación de mecanismos de ampliación y estrategias de adaptabilidad en el proyecto de la vivienda con crecimiento programado es posible optimizar su desarrollo en términos económicos, constructivos, sociales y espaciales. Como resultado, esto ayudaría no sólo a mejorar la vida de los habitantes de la vivienda semilla en términos cualitativos y cuantitativos, sino también a compactar las ciudades mediante sistemas incluyentes, ya que las casas crecederas proporcionan una mayor complejidad de usos y diversidad de relaciones sociales. ABSTRACT The growing house concept -as we currently know it- was used for the first time back in 1932 in the competition Das Wachsende Haus organized by Martin Wagner and Hans Poelzig during the International Exhibition Sonne, Luft und Haus für alle, promoted by Berlin's Tourist Office. In that competition this type of housing was defined as a basic cell or a seed house unit, and depending on the needs and capabilities of the residents it could grow by adding rooms and defining itself as a complete house unit during each growing stage. Many world-top class architects such as Walter Gropius, Bruno Taut, Erich Mendelsohn or Hans Scharoun, were part of this competition exploring a new path in the flexible housing field, the scheduled grownth. From that moment and on, in Europe -and subsequently in the USA and other developed areas- many theorical and pragmatical researchs were directed towards the growing house phenomena, coming from an initial approach related to innovation, spacial and technical innovation. Furthermore -inside the traditional architecture frame in other countries, growing houses were already tested in the XVIII century- mainly due to the size were more affordable in the Real State Market. Since the 30's decade many developing countries had to deal with massive migration movements from the countryside to cities, building large housing developments were -in many cases- formed by growing housing units. In all of these developing countries the growing house approach was drawn from a different perspective than in the developed countries. An economy of means was prioritized, the utilization of low cost construction systems and -in many cases- a guided self-construction was prioritized versus the prefabricated constructions set by specialized technics that were proposed -for instance- in the European cases. To proceed with this research, information from these -and other- housing units was gathered. From then and on different ways to perform the growing actions were identified, according to its relative position from the seed house unit, these ways were named as addition or enlargement mechanisms indifferently utilized without adknowledging the geographic location for each house. The question of why one addition mechanism is preferred over another in any given case became the main target of this Thesis; the ellaboration of an analysis and diagnosis system for the growing house -according to certain parameters- would allow to point out which is the addition or addition process more efficient for a certain family in a particular location. As a starting point the grownth of the housing unit is directly linked to the evolution of the family unit that lives on it, so the house becomes a dynamic habitat. The complexity and the variability of the phenomena was taken into consideration related to a great number of socio-economic factors hardly able to be foreseen ahead on time but easy to be monitored according to certain patterns linked to regulation, population, average savings, etc As a consequence, to design the optimization system for the growing house, evolutionary patterns were utilized. Those patterns far away from the spatial and morphologic concept normally utilized in Architecture by characters like C. Alexander or J. Habraken, started to be understood like a sequence of events on time (spatial events, social events, economic events, legal events, etc) that describes the transformation process and that are particular for each housing unit. Therefore time became something important as another ingredient in the Architectural Project. The before mentioned addition or enlargement mechanisms were identified while building the patterns; these mechanisms were also understood as city's system of compactation through the tridimendional ocupation of space. Studying density, thorough the concepts of comfort and overcrowding, traffic congestion in the city was accepted as a positive value. This way, the possible transformations made by the residents (planned from the begining) about the residencial scenary (seed house), also became tools of the urban project that are a response to site's distinctive features and to the residents with different grownth intensities, activities and density Likewise, during the process of designing the optimization system, strategies for adaptations and transformation of the growing house were detected, in other words, the serial chain of actions directed to modify the house easing its enlargement or addition, and that comprehends from constructive systems on hold -that smooths the costures between grownth and housing seed- to spatial systems that allows that the house modify its utilization, becoming a productive habitat or a rental asset. Because the enlargement mechanisms are linked to the morphology, it was discovered that the use it's not related to the location, and that the adaptation strategies of the houses are linked to constructive systems or management processes linked to a particular area. This way the combination of mechanisms and strategies characterizes the process of housing evolution, linking it to certain social and geographic peculiarities and therefore constructives. At last, through the certain combination of enlargement mechanisms and adaptability strategies in the housing with scheduled grownth project is possible to optimize its development in economic, constructive, social and spatial terms. As a result, this would help not only to improve the life of the seed house residents in qualitative and quantitative terms but also to compact the cities through inclusive systems, given that the growing houses provide a larger complexity of uses and social relations.

Quality of experience of adaptive video streaming: investigation in service parameters and subjective quality assessment methodology

The usage of HTTP adaptive streaming (HAS) has become widely spread in multimedia services. Because it allows the service providers to improve the network resource utilization and user׳s Quality of Experience (QoE). Using this technology, the video playback interruption is reduced since the network and server status in addition to capability of user device, all are taken into account by HAS client to adapt the quality to the current condition. Adaptation can be done using different strategies. In order to provide optimal QoE, the perceptual impact of adaptation strategies from point of view of the user should be studied. However, the time-varying video quality due to the adaptation which usually takes place in a long interval introduces a new type of impairment making the subjective evaluation of adaptive streaming system challenging. The contribution of this paper is two-fold: first, it investigates the testing methodology to evaluate HAS QoE by comparing the subjective experimental outcomes obtained from ACR standardized method and a semi-continuous method developed to evaluate the long sequences. In addition, influence of using audiovisual stimuli to evaluate the video-related impairment is inquired. Second, impact of some of the adaptation technical factors including the quality switching amplitude and chunk size in combination with high range of commercial content type is investigated. The results of this study provide a good insight toward achieving appropriate testing method to evaluate HAS QoE, in addition to designing switching strategies with optimal visual quality.

What role does climate change play in agricultural market uncertainty? An integrated assessment taking into account market-driven adjustments

Recent studies point to climate change being one of the long-term drivers of agricultural market uncertainty. To advance in the understanding of the influence of climate change on future agricultural market developments, we compare a reference scenario for 2030 with alternative simulation scenarios that differ regarding: (1) emission scenarios; (2) climate projections; and (3) the consideration of carbon fertilization effects. For each simulation scenario, the CAPRI model provides global and EU-wide impacts of climate change on agricultural markets. Results show that climate change would considerably affect agrifood markets up to 2030. Nevertheless, market-driven adaptation strategies (production intensification, trade adjustments) would soften the impact of yield shocks on supply and demand. As a result, regional changes in production would be lower than foreseen by other studies focused on supply effects.

How Climate and Vegetation Influence the fire Regime of the Alaskan Boreal Biome: The Holocene Perspective

We synthesize recent results from lake-sediment studies of Holocene fire-climate-vegetation interactions in Alaskan boreal ecosystems. At the millennial time scale, the most robust feature of these records is an increase in fire occurrence with the establishment of boreal forests dominated by Picea mariana: estimated mean fire-return intervals decreased from ≥300 yrs to as low as ∼80 yrs. This fire-vegetation relationship occurred at all sites in interior Alaska with charcoal-based fire reconstructions, regardless of the specific time of P. mariana arrival during the Holocene. The establishment of P. mariana forests was associated with a regional climatic trend toward cooler/wetter conditions. Because such climatic change should not directly enhance fire occurrence, the increase in fire frequency most likely reflects the influence of highly flammable P. mariana forests, which are more conducive to fire ignition and spread than the preceding vegetation types (tundra, and woodlands/forests dominated by Populus or Picea glauca). Increased lightning associated with altered atmospheric circulation may have also played a role in certain areas where fire frequency increased around 4000 calibrated years before present (BP) without an apparent increase in the abundance of P. mariana. When viewed together, the paleo-fire records reveal that fire histories differed among sites in the same modern fire regime and that the fire regime and plant community similar to those of today became established at different times. Thus the spatial array of regional fire regimes was non-static through the Holocene. However, the patterns and causes of the spatial variation remain largely unknown. Advancing our understanding of climate-fire-vegetation interactions in the Alaskan boreal biome will require a network of charcoal records across various ecoregions, quantitative paleoclimate reconstructions, and improved knowledge of how sedimentary charcoal records fire events.

Conservation of freshwater thermal habitats for Pacific salmon in a changing climate

Thesis (Ph.D.)--University of Washington, 2016-06

Finding meaning in parenting a child with Asperger syndrome: correlates of sense making and benefit finding

This study explored the nature of two construals of meaning, benefit finding and sense making, in parents of a child with Asperger syndrome, and examined relations between both meaning constructs and the Double ABCX family stress model variables (initial stressor and pile-up of demands, appraisal, social support, coping strategies and adjustment) [H.I. McCubbin, J.M. Patterson, Social Stress and the Family: Advances and Developments in Family Stress Theory and Research, Haworth, New York, 1983, pp. 7-37]. A total of 59 parents completed questionnaires. Content analyses of parents' responses to questions inquiring about gains and sense making explanations revealed 8 benefit and 12 sense making themes. Results of correlations indicated that one or more of the meaning variables were related to each of the Double ABCX model predictors of parental adjustment. The meaning variables were positively related to adaptive coping processes: social support, self-efficacy, and problem-focused and emotional approach coping strategies. (C) 2004 Elsevier Ltd. All rights reserved.

Socio-ecological vulnerability to climate change in South Florida

Awareness of extreme high tide flooding in coastal communities has been increasing in recent years, reflecting growing concern over accelerated sea level rise. As a low-lying, urban coastal community with high value real estate, Miami often tops the rankings of cities worldwide in terms of vulnerability to sea level rise. Understanding perceptions of these changes and how communities are dealing with the impacts reveals much about vulnerability to climate change and the challenges of adaptation. ^ This empirical study uses an innovative mixed-methods approach that combines ethnographic observations of high tide flooding, qualitative interviews and analysis of tidal data to reveal coping strategies used by residents and businesses as well as perceptions of sea level rise and climate change, and to assess the relationship between measurable sea levels and perceptions of flooding. I conduct a case study of Miami Beach's storm water master planning process which included sea level rise projections, one of the first in the nation to do so, that reveals the different and sometimes competing logics of planners, public officials, activists, residents and business interests with regards to climate change adaptation. By taking a deeply contextual account of hazards and adaptation efforts in a local area I demonstrate how this approach can be effective at shedding light on some of the challenges posed by anthropogenic climate change and accelerated rates of sea level rise. ^ The findings highlight challenges for infrastructure planning in low-lying, urban coastal areas, and for individual risk assessment in the context of rapidly evolving discourse about the threat of sea level rise. Recognition of the trade-offs and limits of incremental adaptation strategies point to transformative approaches, at the same time highlighting equity concerns in adaptation governance and planning. This new impact assessment method contributes to the integration of social and physical science approaches to climate change, resulting in improved understanding of socio-ecological vulnerability to environmental change.^

Adaptación del sector turístico al cambio climático en España. La importancia de las acciones a escala local y en empresas turísticas

El 5º Informe del IPCC (Panel Intergubernamental de Cambio Climático, 2014) señala que el turismo será una de las actividades económicas que mayores efectos negativos experimentará en las próximas décadas debido al calentamiento térmico del planeta. En España, el turismo es una fuente principal de ingresos y de creación de puestos de trabajo en su economía. De ahí que sea necesaria la puesta en marcha de medidas de adaptación a la nueva realidad climática que, en nuestro país, va a suponer cambios en el confort climático de los destinos e incremento de extremos atmosféricos. Frente a los planes de adaptación al cambio climático en la actividad turística, elaborados por los gobiernos estatal y regional, que apenas se han desarrollado en España, la escala local muestra interesantes ejemplos de acciones de adaptación al cambio climático, desarrolladas tanto por los municipios (energía, transporte, vivienda, planificación urbanística) como por la propia empresa turística (hoteles, campings, apartamentos). Medidas de ahorro de agua y luz, fomento del transporte público y de las energías limpias, creación de zonas verdes urbanas y adaptación a los extremos atmosféricos destacan como acciones de mitigación del cambio climático en los destinos turísticos principales de nuestro país.

A Casa na Mala do Carro: flexibilidade e mobilidade geográfica como condição de trabalho da equipa de divulgação do Dia da Defesa Nacional

A flexibilidade é o conceito mais apropriado para descrever as práticas de gestão das organizações num contexto extremamente incerto e cambiante como o atual; emerge como um conceito heterogéneo, frequentemente, associado às noções de polivalência, disponibilidade, adaptabilidade, insegurança, mobilidade e instabilidade profissional. Robert Boyer (1986) foi quem denunciou, logo na década de 1980, o lado precário da flexibilidade, falando em “flexibilidade danosa”. Charles Tilly (1976) avançou o conceito de career migration, indagando o facto de os trabalhadores poderem ser deslocados de locais de trabalho para servirem os interesses da organização, subordinando-lhe os seus interesses privados. Este estudo analisou uma equipa de trabalho que está vinculada à organização militar através de um contrato por tempo determinado e que se encontra em constantes deslocações (mobilidade geográfica) no desempenho das suas funções. Trata-se da equipa do Projeto do Dia da Defesa Nacional (PDDN), constituída por 42 oficiais. Tendo em conta esta realidade, perspetivou-se conhecer a especificidade das condições de trabalho deste grupo de profissionais, problematizando especificamente as consequências positivas e negativas deste tipo de funções e a maneira como avaliam a sua situação, procurando conhecer os impactos desta forma de flexibilidade laboral. Questionou-se, em particular, os impactos da mobilidade geográfica permanente a nível da conciliação entre as várias esferas de vida, das estratégias de adaptação a cada equipa, a cada centro, às diferentes realidades militares, às diferentes cidades; questionaram-se os impactos do tipo de vínculo em termos de expetativas e estratégias profissionais, de acesso a formação e outros mecanismos de desenvolvimento profissional, do sentimento de pertença à organização, do ambiente de trabalho e das relações interpessoais, do apoio prestado pela supervisão; e também se procurou compreender as diferenças entre estes oficiais (contratados) e o pessoal do quadro permanente (QP) das Forças Armadas. Através de um inquérito por questionário e da realização de 9 entrevistas em profundidade foi possível conhecer a forma como refletem e avaliam as suas condições de trabalho, os efeitos da precariedade do seu vínculo quer na própria organização militar quer em termos de expetativas e projetos socioprofissionais, explorando-se os impactos da mobilidade geográfica permanente (mensal) nas várias esferas de vida das pessoas da equipa. / Flexibility is the concept most appropriated to describe the management practices in a highly uncertain and changing context like the present; it appears as a heterogeneous concept often associated with concepts of versatility, availability, adaptability, insecurity, professional mobility and instability. Robert Boyer (1986) denounced, then in the 1980s, the poor side of flexibility, talking of "harmful flexibility." Charles Tilly (1976) advanced the concept of “career migration”, questioning the fact that workers can be displaced from the workplace to serve the organization's interests, subordinating their own private interests. This work studied a working team that is tied to the military organization through a fixed-term contract and is in constant movement (geographical mobility) in the performance of their duties. That’s the team of Projeto do Dia da Defesa Nacional (PDDN) consisting of 42 officers. Given this reality, it sought to know the specific working conditions of this group of professionals, specifically questioning the positive and negative consequences of this kind of functions and the way they evaluate their situation, trying to understand the impacts of this form of labor flexibility. It was questioned, in particular, the impact of geographical mobility at the level of permanent reconciliation between the various spheres of life, adaptation strategies, to different cities teams, centers and military realities; questioned the impacts in terms of expectations and professional strategies, access to training and other forms of professional development, the sense of belonging to the organization, the work environment and interpersonal relationships, the support provided by supervision; and also it sought to understand the differences between these officers (hired) and the staff of the permanent (QP) of the Armed Forces. Through a survey and nine in-depth interviews we were able to understand how professionals reflect and evaluate their working conditions, the effects of the precarity either in military organization and also in terms of their expectations and socioprofessional projects, exploring the impacts of geographical mobility (monthly) in the different spheres of life.

Long-term community responses to droughts in the early modern period: the case study of Terrassa, Spain

New challenges posed by global environmental change have motivated scholars to pay growing attention to historical long-term strategies to deal with climate extremes. We aim to understand long-term trends in community responses to cope with droughts, to explain how many preindustrial societies coevolved with local hydro-climatic dynamics and coped with climate extremes over time. The specific goals of this work are: (1) to analyze how local communities experienced droughts over long periods of time and (2) to document the spectrum of recorded community responses to drought. Our research covers over one century (1605-1710) of responses to drought in the community of Terrassa, Barcelona, Spain. Data were collected through archival research. We reviewed and coded 2076 village council minutes. Our results show that the local community adopted a mixture of symbolic, institutional, and infrastructural responses to drought and that drought-related decisions varied through time. We discuss adaptation strategies on the basis of the distinct physical signals of drought propagation and the role of nonclimatic historical factors, such as warfare and public debt, in shaping responses. We conclude that long-term perspectives on premodern history and comparable empirical studies are fundamental to advance our understanding of past social responses to hydro-climatic extremes.

Changing times, changing stories: generational differences in climate change perspectives from four remote indigenous communities in Subarctic Alaska

Indigenous Arctic and Subarctic communities currently are facing a myriad of social and environmental changes. In response to these changes, studies concerning indigenous knowledge (IK) and climate change vulnerability, resiliency, and adaptation have increased dramatically in recent years. Risks to lives and livelihoods are often the focus of adaptation research; however, the cultural dimensions of climate change are equally important because cultural dimensions inform perceptions of risk. Furthermore, many Arctic and Subarctic IK climate change studies document observations of change and knowledge of the elders and older generations in a community, but few include the perspectives of the younger population. These observations by elders and older generations form a historical baseline record of weather and climate observations in these regions. However, many indigenous Arctic and Subarctic communities are composed of primarily younger residents. We focused on the differences in the cultural dimensions of climate change found between young adults and elders. We outlined the findings from interviews conducted in four indigenous communities in Subarctic Alaska. The findings revealed that (1) intergenerational observations of change were common among interview participants in all four communities, (2) older generations observed more overall change than younger generations interviewed by us, and (3) how change was perceived varied between generations. We defined “observations” as the specific examples of environmental and weather change that were described, whereas “perceptions” referred to the manner in which these observations of change were understood and contextualized by the interview participants. Understanding the differences in generational observations and perceptions of change are key issues in the development of climate change adaptation strategies.