Estudio del estado de la vegetación de ribera en la España peninsular. Implicaciones de la alteración hidrológica y herramientas para su manejo y gestión

El objetivo general de este trabajo es explorar las potenciales interacciones entre la alteración hidrológica y el estado de la vegetación de ribera en diversas cuencas hidrográficas españolas. La mayor parte del área de estudio está dentro de la región Mediterránea, una región caracterizada por un particular comportamiento climatológico, ecológico y socio-económico. Las cuencas estudiadas son: Guadiana, Guadalquivir, Tajo, y Duero. Para complementar el estudio y comparar resultados con otras regiones climáticas españolas se estudiaron dos Demarcaciones atlánticas: Cantábrico y Miño-Sil. El funcionamiento fluvial, en las áreas mediterráneas, presenta grandes variaciones en el régimen hídrico, siendo uno de los principales controladores de la estructura, composición y distribución de la vegetación de ribera. Para investigar las interacciones mencionadas previamente, se presenta un nuevo índice, Riparian Forest Evaluation (RFV). El objetivo de este índice es valorar el estado de la vegetación de ribera en base a los principales controladores hidro-morfológicos responsables de la dinámica fluvial, y por tanto, relacionados con el desarrollo del corredor ribereño. RFV divide la evaluación del bosque de ribera en cuatro componentes: continuidad longitudinal, transversal, y vertical (dimensiones espaciales), y condiciones del regenerado (dimensión temporal). La clasificación final está basada en las mismas cinco clases fijadas por la Directiva europea Marco del Agua (DMA) (2000/60/CE) para valorar el estado ecológico de las masas de agua. La aplicación de este índice en 187 masas de agua ha mostrado su facilidad de aplicación y su consistencia desde un punto de vista legislativo y técnicocientífico. En paralelo al diseño del índice RFV, se ha desarrollado una nueva herramienta para dar apoyo a la evaluación del bosque de ribera (RFV) y la extracción de variables hidromorfológicas a escala de masa de agua en lugar de a escala local (muestreo de campo local). Se trata de Riparian Characterisation by LiDAR (RiC-DAR), que permite valorar el estado del bosque de ribera de una manera semiautomática, en un modo cuasi-continuo, usando LiDAR de alta resolución. Esto hecho permite mejorar significativamente la calidad y cantidad de información comparado con la toma de datos en campo, lo que permite reducir los recursos, particularmente cuando se trabaja a escala de masas de agua. Una de las potenciales causas de la degradación del bosque de ribera es la alteración hidrológica; así una vez se ha realizado la evaluación del bosque de ribera basada en elementos hidro-morfológicos ligados al régimen hídrico (RFV), se han identificado las potenciales relaciones entre la alteración hidrológica y la degradación de la vegetación riparia. Para ello, se requiere contar con series de aforos fiables y de una duración apropiada. Para satisfacer este requerimiento, se ha creado una nueva herramienta: el Servidor de Datos para el Estudio de la Alteración Hidrológica (SEDAH). Esta herramienta genera datos diarios y mensuales completados para más años, construyendo así bases de datos más aptas para el estudio de la alteración hidrológica. (http://ambiental.cedex.es/Sedah) Haciendo uso de las herramientas y métodos desarrollados previamente, se han calculado diferentes indicadores de alteración hidrológica en 87 masas de agua que han sido analizados conjuntamente con el estado de la vegetación de ribera. Los resultados estadísticos han mostrado relaciones significativas entre ellos: la degradación de la vegetación podría estar fuertemente ligada a la alteración del régimen hídrico en años secos y a las sequías en el entorno mediterráneo. A su vez se ha analizado la relación del estado del bosque de ribera con el estado ecológico basado en la DMA, mostrando una relación no significativa. Esta y otras potenciales relaciones son discutidas a lo largo del documento. Los resultados permiten proponer recomendaciones de gestión de la vegetación de ribera y de manejo del régimen de caudales para masas de agua reguladas. ABSTRACT The general objective of this work is to explore the potential interactions between hydrologic alteration and degradation of the riparian vegetation, mainly focused in the Mediterranean Environment. The majority of the study area is part of the Spanish Mediterranean region, a geographical environment characterized by a singular climatologic, ecological and socio-economical behavior. The basins analysed in this work are: Guadiana, Guadalquivir, Tagus, Douro. In order to complete the results and compare those to other climatic regions in Spain, two Atlantic Districts where selected: Cantábrico and Miño-Sil. The river functioning, in the Mediterranean areas, presents great variations in the flow regimes being one of the main drivers of the riparian vegetation development. To explore the interactions stated above, a new index is presented, Riparian Forest Evaluation (RFV). This index is aimed to assess the status of the riparian vegetation based on the main hydromorphological drivers responsible of the river dynamic, and so, related to the development of the riparian corridor. RFV split the evaluation of the riparian forest into four components: longitudinal continuity, transversal continuity, vertical (structure) continuity and regeneration (temporal) continuity. The final classification is based in the same five classes to those stated in the European Water Frame Work directive to assess the ecological status. The application of this index over 187 water bodies has shown to be easily applicable and consistent from a regulatory perspective. In parallel to the design of RFV, a new tool has been developed to enhance the evaluation of the riparian forest and river morphology (RFV and morphological parameters) at water body scale rather than at local scale, i.e. when field surveyed at different sites. The Riparian Characterisation by LiDAR, RiC-DAR allows to assess the status of the riparian vegetation semi-automatically in a quasi-continuous way using high resolution LiDAR. This improves significantly the quantity and quality of information gathered through field sampling methods, reducing resources when working at larger scales. One of the potential major causes of degradation of the riparian forest is the hydrologic alteration; hence, once the evaluation of the riparian forest is done consistently based on hydro-morphological features linked to the hydrological regime (RVF), this work has identified potential relationships between hydrologic alteration and degradation of riparian vegetation. In order to do this, it is required to count with reliable series of flow records describing both reference and altered regimes. To satisfy this need, a new tool has been created, SEDAH, data server for assessing hydrologic alteration. This tool has completed daily and monthly gaps in the flow series to build up an improved database to assess the hydrologic alteration. This application is available on line (http://ambiental.cedex.es). Making use of the tools and methods developed previously, this work uses these data to work out indicators of hydrologic alteration through 87 water bodies to be analysed against the riparian status. These indicators are statistically analysed exploring significant relationships with the status of riparian vegetation and ecological status, showing some potential significant relationships; hence it seems that the degradation of riparian vegetation, particularly the regeneration, is associated with the alteration of the hydrologic regimen in dry years and draughts in Mediterranean environments. Furthermore, the analysis of the status of the ecological status and the status of the riparian vegetation has shown the lack of significant influence of the riparian vegetation in the final ecological status using the WFD approach applied in Spain. This and other potential relationships are discussed in this work. The results allow giving guidance on the management of both riparian vegetation and environmental flows of water bodies affected by flow regulation.

On the geometry of solutions of the quasi-geostrophic and Euler equations

We study solutions of the two-dimensional quasi-geostrophic thermal active scalar equation involving simple hyperbolic saddles. There is a naturally associated notion of simple hyperbolic saddle breakdown. It is proved that such breakdown cannot occur in finite time. At large time, these solutions may grow at most at a quadruple-exponential rate. Analogous results hold for the incompressible three-dimensional Euler equation.

Specific therapy regimes could lead to long-term immunological control of HIV

We use mathematical models to study the relationship between HIV and the immune system during the natural course of infection and in the context of different antiviral treatment regimes. The models suggest that an efficient cytotoxic T lymphocyte (CTL) memory response is required to control the virus. We define CTL memory as long-term persistence of CTL precursors in the absence of antigen. Infection and depletion of CD4+ T helper cells interfere with CTL memory generation, resulting in persistent viral replication and disease progression. We find that antiviral drug therapy during primary infection can enable the development of CTL memory. In chronically infected patients, specific treatment schedules, either including deliberate drug holidays or antigenic boosts of the immune system, can lead to a re-establishment of CTL memory. Whether such treatment regimes would lead to long-term immunologic control deserves investigation under carefully controlled conditions.

Regimes de concorrência e políticas de concorrência na América Latina : o caso do Mercosul / José Matias Pereira. --

Inclui bibliografia.

Previdência dos servidores públicos : situação e perspectivas dos regimes próprios da previdência

Inclui notas explicativas e bibliografia

Experimentally determined chaotic phase synchronization in a neuronal system

Mathematical analysis of the subthreshold oscillatory properties of inferior olivary neurons in vitro indicates that the oscillation is nonlinear and supports low dimensional chaotic dynamics. This property leads to the generation of complex functional states that can be attained rapidly via phase coherence that conform to the category of “generalized synchronization.” Functionally, this translates into neuronal ensemble properties that can support maximum functional permissiveness and that rapidly can transform into robustly determined multicellular coherence.

Effects of the Heartbeat Wales programme over five years on behavioural risks for cardiovascular disease: quasi-experimental comparison of results from Wales and a matched reference area

Objective: To assess the net 5 year effects of intervention of a community based demonstration project, the Heartbeat Wales programme, on modifiable behavioural risks for prevention of cardiovascular disease.

Dynamical hierarchy in transition states: Why and how does a system climb over the mountain?

How a reacting system climbs through a transition state during the course of a reaction has been an intriguing subject for decades. Here we present and quantify a technique to identify and characterize local invariances about the transition state of an N-particle Hamiltonian system, using Lie canonical perturbation theory combined with microcanonical molecular dynamics simulation. We show that at least three distinct energy regimes of dynamical behavior occur in the region of the transition state, distinguished by the extent of their local dynamical invariance and regularity. Isomerization of a six-atom Lennard–Jones cluster illustrates this: up to energies high enough to make the system manifestly chaotic, approximate invariants of motion associated with a reaction coordinate in phase space imply a many-body dividing hypersurface in phase space that is free of recrossings even in a sea of chaos. The method makes it possible to visualize the stable and unstable invariant manifolds leading to and from the transition state, i.e., the reaction path in phase space, and how this regularity turns to chaos with increasing total energy of the system. This, in turn, illuminates a new type of phase space bottleneck in the region of a transition state that emerges as the total energy and mode coupling increase, which keeps a reacting system increasingly trapped in that region.

Slip complexity in earthquake fault models.

We summarize studies of earthquake fault models that give rise to slip complexities like those in natural earthquakes. For models of smooth faults between elastically deformable continua, it is critical that the friction laws involve a characteristic distance for slip weakening or evolution of surface state. That results in a finite nucleation size, or coherent slip patch size, h*. Models of smooth faults, using numerical cell size properly small compared to h*, show periodic response or complex and apparently chaotic histories of large events but have not been found to show small event complexity like the self-similar (power law) Gutenberg-Richter frequency-size statistics. This conclusion is supported in the present paper by fully inertial elastodynamic modeling of earthquake sequences. In contrast, some models of locally heterogeneous faults with quasi-independent fault segments, represented approximately by simulations with cell size larger than h* so that the model becomes "inherently discrete," do show small event complexity of the Gutenberg-Richter type. Models based on classical friction laws without a weakening length scale or for which the numerical procedure imposes an abrupt strength drop at the onset of slip have h* = 0 and hence always fall into the inherently discrete class. We suggest that the small-event complexity that some such models show will not survive regularization of the constitutive description, by inclusion of an appropriate length scale leading to a finite h*, and a corresponding reduction of numerical grid size.

Optical evidence for the unification of active galactic nuclei and quasi-stellar objects.

There is a variety of optical evidence for some unification of different types of active galactic nuclei and quasi-stellar objects (QSOs). The case is very strong for the unification of at least some Seyfert galaxies, where polarization data show that the type assigned to the Seyfert galaxy must depend on viewing direction. It has been proposed that Fanaroff-Riley type 2 (FR2) radio galaxies are quasars seen in a direction from which the quasar is obscured, and there is some limited direct evidence for this picture. The broad absorption line QSOs may be normal QSOs seen from a special direction. Some of the sources observed to have high luminosities in the far infrared could be obscured QSOs and active nuclei. Mergers and interactions are likely to play an important role in nuclear activity, and active galaxies and QSOs could change their apparent types through these encounters followed by subsequent evolution.

Cortical activity flips among quasi-stationary states.

Parallel recordings of spike trains of several single cortical neurons in behaving monkeys were analyzed as a hidden Markov process. The parallel spike trains were considered as a multivariate Poisson process whose vector firing rates change with time. As a consequence of this approach, the complete recording can be segmented into a sequence of a few statistically discriminated hidden states, whose dynamics are modeled as a first-order Markov chain. The biological validity and benefits of this approach were examined in several independent ways: (i) the statistical consistency of the segmentation and its correspondence to the behavior of the animals; (ii) direct measurement of the collective flips of activity, obtained by the model; and (iii) the relation between the segmentation and the pair-wise short-term cross-correlations between the recorded spike trains. Comparison with surrogate data was also carried out for each of the above examinations to assure their significance. Our results indicated the existence of well-separated states of activity, within which the firing rates were approximately stationary. With our present data we could reliably discriminate six to eight such states. The transitions between states were fast and were associated with concomitant changes of firing rates of several neurons. Different behavioral modes and stimuli were consistently reflected by different states of neural activity. Moreover, the pair-wise correlations between neurons varied considerably between the different states, supporting the hypothesis that these distinct states were brought about by the cooperative action of many neurons.

A divisão dos regimes políticos em Aristóteles

Trata-se de um estudo sobre a filosofia política de Aristóteles, sobretudo no que toca à divisão dos regimes políticos. Como se sabe, segundo Aristóteles seis são os regimes políticos, três justos (realeza, aristocracia e república) e três corruptos (tirania, oligarquia e democracia). O autor se propõe a demonstrar que a distinção entre essas seis formas de constituição, no pensamento político aristotélico, não é primeiramente pelo número dos que exercem o mando ou pela finalidade com que governam, mas resulta da aplicação de certos princípios à distribuição do poder pelas diversas partes da comunidade política. Assim, a distribuição do poder segundo o estado de liberdade constituiria a democracia; a distribuição segundo o critério da riqueza, a oligarquia; a distribuição segundo o critério da virtude, a aristocracia e a realeza; a exacerbação dos princípios da democracia e da oligarquia culminaria na tirania; e a república ou governo constitucional seria constituída pela combinação harmônica de instituições democráticas, oligárquicas e aristocráticas, resultando no regime mais apropriado à maioria das comunidades políticas.

Real exchange rate volatility, financial crises and nominal exchange regimes

This paper examines the sources of real exchange rate (RER) volatility in eighty countries around the world, during the period 1970 to 2011. Our main goal is to explore the role of nominal exchange rate regimes and financial crises in explaining the RER volatility. To that end, we employ two complementary procedures that consist in detecting structural breaks in the RER series and decomposing volatility into its permanent and transitory components. The results confirm that exchange rate volatility does increase with the global financial crises and detect the existence of an inverse relationship between the degree of flexibility in the exchange rate regime and RER volatility using a de facto exchange rate classification.