Estudio del empleo de cubiertas vegetales temporales para la regulación del régimen hídrico, crecimiento y manejo sostenible del viñedo

RESUMEN El ensayo se llevo a acabo en un viñedo de Syrah durante 8 años y en un viñedo de Merlot durante 3 años. Ambos viñedos regados y situados en Colmenar de Oreja (Madrid) (40º 8’N, 3º 23’W) con clima típicamente Mediterráneo. Siete tratamientos con cubiertas vegetales se han comparado con dos tratamientos con suelo desnudo usados como control. Las cubiertas vegetales fueron seis tratamientos de cereales (Centeno) y un tratamiento de enyerbado autosembrado (Bromus spp) y los tratamientos de suelo desnudo fueron uno manejado con laboreo y otro manejado con herbicida. Los seis tratamientos de centeno se han manejado de seis formas distintas. La primera sembrada todos los años y eliminada en brotación mediante herbicida de post-emergencia. La segunda sembrada todos los años y eliminada un mes después de la brotación mediante siega. La tercera sembrada todos los años y eliminada en floración mediante siega. La cuarta sembrada todos los años y eliminada en brotación mediante herbicida de post-emergencia. La quinta sembrada todos los años y eliminada un mes después de la brotación mediante siega. La sexta sembrada todos los años y eliminada en floración mediante siega. La utilización de cubiertas vegetales ha tenido efectos beneficiosos sobre el contenido en materia orgánica, la compactación y la infiltración del suelo, mejorando las condiciones para el desarrollo de las raíces. Estas mejoras y la escasa competencia de la competencia durante el crecimiento del sistema radical de la vid han producido un incremento del sistema radical en las plantas mantenidos con cubierta vegetal. La competencia de las cubiertas vegetales ha reducido la disponibilidad hídrica de la vid, incrementándose la absorción en zonas con mayor disponibilidad hídrica (como la línea) antes de floración. El mayor desarrollo radical de las vides con cubierta autosembrada ha permitido agotar más intensamente las reservas de agua en el suelo. La competencia de las cubiertas ha reducido en mayor medida el desarrollo vegetativo que el productivo. Lo que ha disminuido, en algunas cubiertas vegetales, el consumo hídrico de la vid, aumentando el potencial hídrico foliar y la fotosíntesis durante la maduración. Sin embargo, el incremento en la fotosíntesis no ha compensado el mayor desarrollo foliar de los tratamientos con suelo desnudo, lo que ha provocado que estos tratamientos presenten la producción de materia seca más elevada. El empleo de cubiertas vegetales ha reducido la producción principalmente limitando el número de bayas por racimo, ya que el aporte de riego ha minimizado los efectos del manejo del suelo sobre el tamaño de baya. La utilización de cubiertas vegetales temporales ha mejorado la iluminación de los racimos, lo que ha producido un aumento de la síntesis de antocianos durante las primeras fases de la maduración, pero un incremento de la degradación de los mismos al final de la maduración. Esto ha provocado que durante la vendimia los tratamientos de suelo desnudo presenten un mayor contenido de antocianos por baya que los tratamientos mantenidos con cubierta temporal. Estos resultados muestran que el efecto del manejo del suelo depende en gran medida de las condiciones del medio, y que sus efectos en climas calidos y secos son muy distintos a los observados en climas frescos y húmedos. ABSTRACT The trial was conducted over a period of 8 years in a Syrah vineyard and over a period of 3 years in a Merlot vineyard. Both vineyards were irrigated and situated near Colmenar de Oreja (Madrid) (40º 8’N, 3º 23’W) a typical Mediterranean climate. Seven Annual cover crops treatments were compared to two bare soil treatments, used as control. Cover crops were six cereals treatments (Rye) and one auto-sowing treatment (Bromus spp) and the treatments of bare soil were one tilled management treatment and another with herbicide treatment. The six Cereal treatments were managed in different manners. First sowing every year and were eliminated in bud breaking with post-emergency herbicide. The second sowing annually and were eliminated one month after bud breaking through harvesting. The third sowing annually and were eliminated in flowering by mowing. The fourth sowing annually and were eliminated with post-emergency herbicide in bud breaking. The fifth sowing annually and were eliminated by mowing one month after bud breaking. . The third sowing annually was eliminated by mowing in flowering. The use of annual cover crop have improved soil organic matter, soil infiltration rate and soil solidity, resulting in a more favourable environment for roots growth. These improvements and low competitive ability during root growing have increases grapevine root density in plant management with cover crop. The Cover crop ability reduced plant available water, increasing root water uptake in the soil with more available water (such us line) before flowering. More growth of grapevine root density with auto-sowed cover crops has allowed using the water under soil more rapidly. The cover crop ability has reduced vegetative growth more than yield. What has been reduced in some vegetative cover crop has been the consumption of water, and increasing the leaf water potential and foliar and photosynthesis during growth activity. Moreover, the increased in photosynthesis activity could not “Compensate” higher leaf growth of treatment of bare soil, where these treatments had resulted in the greatest amount of dry material. The use of cover crops has reduced the crop mainly reducing the fruit set, because the irrigation had reduced the cover crop effect in the berry growth. The use of temporary cover crop increased berry sunlight exposure and skin anthocyanin synthesis during early rippenig, but excessively high temperature increased anthocyanin degradation during last part of ripenning. So, at the vineyard harvest period the treatments with bare soil plant had a more anthocyanin content per grape than the temporary cover crop plant treatments. These results suggest that the effects of soil handling mainly depends on the environmental condition, and their effects in hot and dry climate are so different from the effects in cold and moist climates.

Phenotypic plasticity facilitates resistance to climate change in a highly variable environment

Increased summer drought will exacerbate the regeneration of many tree species at their lower latitudinal and altitudinal distribution limits. In vulnerable habitats, introduction of more drought-tolerant provenances or species is currently considered to accelerate tree species migration and facilitate forest persistence. Trade-offs between drought adaptation and growth plasticity might, however, limit the effectiveness of assisted migration, especially if introductions focus on provenances or species from different climatic regions. We tested in a common garden experiment the performance of Pinus sylvestris seedlings from the continental Central Alps under increased temperatures and extended spring and/or summer drought, and compared seedling emergence, survival and biomass allocation to that of P. sylvestris and closely related Pinus nigra from a Mediterranean seed source. Soil heating had only minor effects on seedling performance but high spring precipitation doubled the number of continental P. sylvestris seedlings present after the summer drought. At the same time, twice as many seedlings of the Mediterranean than the continental P. sylvestris provenance were present, which was due to both higher emergence and lower mortality under dry conditions. Both P. sylvestris provenances allocated similar amounts of biomass to roots when grown under low summer precipitation. Mediterranean seedlings, however, revealed lower phenotypic plasticity than continental seedlings under high precipitation, which might limit their competitive ability in continental Alpine forests in non-drought years. By contrast, high variability in the response of individual seedlings to summer drought indicates the potential of continental P. sylvestris provenances to adapt to changing environmental conditions.

Improving runoff estimates from regional climate models: a performance analysis in Spain

An important step to assess water availability is to have monthly time series representative of the current situation. In this context, a simple methodology is presented for application in large-scale studies in regions where a properly calibrated hydrologic model is not available, using the output variables simulated by regional climate models (RCMs) of the European project PRUDENCE under current climate conditions (period 1961–1990). The methodology compares different interpolation methods and alternatives to generate annual times series that minimise the bias with respect to observed values. The objective is to identify the best alternative to obtain bias-corrected, monthly runoff time series from the output of RCM simulations. This study uses information from 338 basins in Spain that cover the entire mainland territory and whose observed values of natural runoff have been estimated by the distributed hydrological model SIMPA. Four interpolation methods for downscaling runoff to the basin scale from 10 RCMs are compared with emphasis on the ability of each method to reproduce the observed behaviour of this variable. The alternatives consider the use of the direct runoff of the RCMs and the mean annual runoff calculated using five functional forms of the aridity index, defined as the ratio between potential evapotranspiration and precipitation. In addition, the comparison with respect to the global runoff reference of the UNH/GRDC dataset is evaluated, as a contrast of the “best estimator” of current runoff on a large scale. Results show that the bias is minimised using the direct original interpolation method and the best alternative for bias correction of the monthly direct runoff time series of RCMs is the UNH/GRDC dataset, although the formula proposed by Schreiber (1904) also gives good results

Virtualización de dispositivos para servicios en la Ciudad del Futuro

El aumento de las capacidades de interconexión de dispositivos de todo tipo está suponiendo una revolución en el campo de la prestación de servicios, tanto en la cantidad como en la variedad. Esta evolución ha puesto de manifiesto la necesidad de abordar un desarrollo tecnológico sin precedentes, donde la previsión de dispositivos interconectados e interoperando entre sí y con las personas alcanza cifras del orden de los millardos. Esta idea de un mundo de cosas interconectadas ha dado lugar a una visión que se ha dado en llamar Internet de las Cosas. Un mundo donde las cosas de cualquier tipo pueden interactuar con otras cosas, incluyendo las que forman parte de redes con recurso limitados. Y esto además conduce a la creación de servicios compuestos que superan a la suma de las partes. Además de la relevancia tecnológica, esta nueva visión enlaza con la de la Ciudad del Futuro. Un concepto que recurre a la convergencia de la energía, el transporte y las tecnologías de la información y las comunicaciones para definir una forma mediante la que lograr el crecimiento sostenible y competitivo, mejorando así la calidad de vida y abriendo el gobierno de las ciudades a la participación ciudadana. En la línea de desarrollo que permite avanzar hacia la consecución de tales objetivos, este Proyecto Fin de Carrera propone una forma de virtualizar los servicios ofrecidos por la diversidad de dispositivos que van adquiriendo la capacidad de interoperar en una red. Para ello se apoya en el uso de una capa de intermediación orientada a servicios, nSOM, desarrollada en la EUITT. Sobre esta arquitectura se proponen como objetivos el diseño y desarrollo de una pasarela de servicios que haga accesibles desde la web los recursos ofrecidos en una red de sensores; el diseño y desarrollo de un registro de dispositivos y servicios en concordancia a la propuesta de arquitectura de referencia para Internet de las Cosas; y el estudio y diseño de un marco para la composición de servicios orquestados en redes de recursos limitados. Para alcanzar estos objetivos primero se abordará un estudio del estado del arte donde se profundizará en el conocimiento de la las tecnologías para la interoperatividad entre cosas, abordando los principios de las redes inalámbricas de sensores y actuadores, las arquitecturas para las comunicaciones Máquina a Máquina e Internet de las Cosas, y la visión de la Web de las Cosas. Seguidamente se tratarán las tecnologías de red y de servicios de interés, para finalizar con un breve repaso a las tecnologías para la composición de servicios. Le seguirá una descripción detallada de la arquitectura nSOM y del diseño propuesto para este proyecto. Finalmente se propondrá un escenario sobre el que se llevarán a cabo diferentes pruebas de validación. ABSTRACT. The increasing of the capabilities of all kind of devices is causing a revolution in the field of the provision of services, both in quantity and in diversity. This situation has highlighted the need to address unprecedented technological development, where the forecast of interconnected and interoperable devices between them and human beings reaches the order of billions. And these numbers go further when the connectivity of constrained networks is taken into account. This idea of an interconnected world of things has led to a vision that has been called "The Internet of Things". It’s a vision of a world where things of any kind can interact with other things, even those in the domain of a constrained network. This also leads to the creation of new composed services that exceed the sum of the parts. Besides the technological interest, this new vision relates with the one from the Smart City. A concept that uses the convergence of the energy, the transport, and the information and communication technologies to define a way to achieve sustainable and competitive growth, improving the quality of life, and opening the governance of the cities to the participation. In the development pathway to reach these goals, this Final Degree Dissertation proposes a way for the virtualization of the services offered by the variety of devices that are reaching the ability to interoperate in a network. For this it is supported by a service oriented middleware called nSOM that has been developed at EUITT. Using this architecture the goals proposed for this project are the design and development of a service gateway that makes available the resources of a sensor network through a web interface; the design and development of a Device & Service Registry according to the reference architecture proposal for the Internet of Things; and the study and design of a composition framework for orchestrated services in constrained networks. To achieve these goals this dissertation begins with a State of the Art study where the background knowledge about the technologies in use for the interoperation of things will be settled. At first it starts talking about Wireless Sensor and Actuator Networks, the architectures for Machine-to-Machine communication and Internet of Things, and also the concepts for the Web of Things vision. Next the related network and services technologies are explored, ending with a brief review of service composition technologies. Then will follow a detailed description of the nSOM architecture, and also of the proposed design for this project. Finally a scenario will be proposed where a series of validation tests will be conducted.

CAS: A tool for improving autonomous work

The EHEA proposes a student-centered teaching model. Therefore, it seems necessary to actively involve the students in the teaching-learning process. Increasing the active participation of the students is not always easy in mathematical topics, since, when the students just enter the University, their ability to carry out autonomous mathematical work is scarce. In this paper we present some experiences related with the use of Computer Algebra Systems (CAS). All the experiences are designed in order to develop some mathematical competencies and mainly self-learning, the use of technology and team-work. The experiences include some teachers? proposals including: small projects to be executed in small groups, participation in competitions, the design of different CAS-Toolboxes, etc. The results obtained in the experiences, carried out with different groups of students from different engineering studies at different universities, makes us slightly optimistic about the educational value of the model.

Estimación eficiente de atributos demográficos del rostro humano en imágenes

Sin duda, el rostro humano ofrece mucha más información de la que pensamos. La cara transmite sin nuestro consentimiento señales no verbales, a partir de las interacciones faciales, que dejan al descubierto nuestro estado afectivo, actividad cognitiva, personalidad y enfermedades. Estudios recientes [OFT14, TODMS15] demuestran que muchas de nuestras decisiones sociales e interpersonales derivan de un previo análisis facial de la cara que nos permite establecer si esa persona es confiable, trabajadora, inteligente, etc. Esta interpretación, propensa a errores, deriva de la capacidad innata de los seres humanas de encontrar estas señales e interpretarlas. Esta capacidad es motivo de estudio, con un especial interés en desarrollar métodos que tengan la habilidad de calcular de manera automática estas señales o atributos asociados a la cara. Así, el interés por la estimación de atributos faciales ha crecido rápidamente en los últimos años por las diversas aplicaciones en que estos métodos pueden ser utilizados: marketing dirigido, sistemas de seguridad, interacción hombre-máquina, etc. Sin embargo, éstos están lejos de ser perfectos y robustos en cualquier dominio de problemas. La principal dificultad encontrada es causada por la alta variabilidad intra-clase debida a los cambios en la condición de la imagen: cambios de iluminación, oclusiones, expresiones faciales, edad, género, etnia, etc.; encontradas frecuentemente en imágenes adquiridas en entornos no controlados. Este de trabajo de investigación estudia técnicas de análisis de imágenes para estimar atributos faciales como el género, la edad y la postura, empleando métodos lineales y explotando las dependencias estadísticas entre estos atributos. Adicionalmente, nuestra propuesta se centrará en la construcción de estimadores que tengan una fuerte relación entre rendimiento y coste computacional. Con respecto a éste último punto, estudiamos un conjunto de estrategias para la clasificación de género y las comparamos con una propuesta basada en un clasificador Bayesiano y una adecuada extracción de características. Analizamos en profundidad el motivo de porqué las técnicas lineales no han logrado resultados competitivos hasta la fecha y mostramos cómo obtener rendimientos similares a las mejores técnicas no-lineales. Se propone un segundo algoritmo para la estimación de edad, basado en un regresor K-NN y una adecuada selección de características tal como se propuso para la clasificación de género. A partir de los experimentos desarrollados, observamos que el rendimiento de los clasificadores se reduce significativamente si los ´estos han sido entrenados y probados sobre diferentes bases de datos. Hemos encontrado que una de las causas es la existencia de dependencias entre atributos faciales que no han sido consideradas en la construcción de los clasificadores. Nuestro resultados demuestran que la variabilidad intra-clase puede ser reducida cuando se consideran las dependencias estadísticas entre los atributos faciales de el género, la edad y la pose; mejorando el rendimiento de nuestros clasificadores de atributos faciales con un coste computacional pequeño. Abstract Surely the human face provides much more information than we think. The face provides without our consent nonverbal cues from facial interactions that reveal our emotional state, cognitive activity, personality and disease. Recent studies [OFT14, TODMS15] show that many of our social and interpersonal decisions derive from a previous facial analysis that allows us to establish whether that person is trustworthy, hardworking, intelligent, etc. This error-prone interpretation derives from the innate ability of human beings to find and interpret these signals. This capability is being studied, with a special interest in developing methods that have the ability to automatically calculate these signs or attributes associated with the face. Thus, the interest in the estimation of facial attributes has grown rapidly in recent years by the various applications in which these methods can be used: targeted marketing, security systems, human-computer interaction, etc. However, these are far from being perfect and robust in any domain of problems. The main difficulty encountered is caused by the high intra-class variability due to changes in the condition of the image: lighting changes, occlusions, facial expressions, age, gender, ethnicity, etc.; often found in images acquired in uncontrolled environments. This research work studies image analysis techniques to estimate facial attributes such as gender, age and pose, using linear methods, and exploiting the statistical dependencies between these attributes. In addition, our proposal will focus on the construction of classifiers that have a good balance between performance and computational cost. We studied a set of strategies for gender classification and we compare them with a proposal based on a Bayesian classifier and a suitable feature extraction based on Linear Discriminant Analysis. We study in depth why linear techniques have failed to provide competitive results to date and show how to obtain similar performances to the best non-linear techniques. A second algorithm is proposed for estimating age, which is based on a K-NN regressor and proper selection of features such as those proposed for the classification of gender. From our experiments we note that performance estimates are significantly reduced if they have been trained and tested on different databases. We have found that one of the causes is the existence of dependencies between facial features that have not been considered in the construction of classifiers. Our results demonstrate that intra-class variability can be reduced when considering the statistical dependencies between facial attributes gender, age and pose, thus improving the performance of our classifiers with a reduced computational cost.