Estudio preliminar sobre la abundancia y distribución de la perdiz roja (Alectoris rufa Linnaeus, 1758) en el Parque Natural Sierra de Mariola (Alicante-Valencia)

El presente estudio tiene como objeto analizar la abundancia y distribución de la perdiz roja en función de las diferentes matrices de usos del suelo. Parte del trabajo se ha centrado en la Finca Buixcarró, finca forestal de 652 has. de superficie, cuya propiedad y gestión pertenecen a la Fundación de la Comunidad Valenciana C.V. Victoria Laporta Carbonell. La zona de estudio se encuentra en la Sierra de Mariola es un Parque Natural de 17.500 ha situado entre las provincias de Alicante y Valencia que cuenta con una vegetación climática de carrascal de termotipo mesomediterráneo y ombrotipo subhúmedo. Entre marzo y junio del 2011 se han realizado un total de 12 itinerarios de censo de 500 m de longitud, distribuidos en las diferentes matrices de usos del suelo (matorral, bosque, cultivo y zona de regeneración). El análisis de los resultados, muestra una mayor abundancia de los individuos de la población en zonas de matorral denso y bajo (IKA=1,33), siendo visibles a primeras horas de la mañana en sendas y/o bordes de caminos; y así mismo, un mayor contacto visual en días parcialmente despejados y sin viento. También se han hecho escuchas puntuales en la zona de regeneración arbolado post-incendio.

Effectiveness of influenza vaccination programme in preventing hospital admissions, Valencia, 2014/15 early results

Preliminary results for the 2014/15 season indicate low to null effect of vaccination against influenza A(H3N2)-related disease. As of week 5 2015, there have been 1,136 hospital admissions, 210 were due to influenza and 98% of subtype A strains were H3. Adjusted influenza vaccine effectiveness was 33% (range: 6–53%) overall and 40% (range: 13% to 59%) in those 65 years and older. Vaccination reduced by 44% (28–68%) the probability of admission with influenza.

New methodology for describing the equilibrium beach profile applied to the Valencia's beaches

Mathematical models used for the understanding of coastal seabed morphology play a key role in beach nourishment projects. These projects have become the fundamental strategy for coastal maintenance during the last few years. Accordingly, the accuracy of these models is vital to optimize the costs of coastal regeneration projects. Planning of such interventions requires methodologies that do not generate uncertainties in their interpretation. A study and comparison of mathematical simulation models of the coastline is carried out in this paper, as well as elements that are part of the model that are a source of uncertainty. The equilibrium profile (EP) and the offshore limit corresponding to the depth of closure (DoC) have been analyzed taking into account different timescale ranges. The results have thus been compared using data sets from three different periods which are identified as present, past and future. Accuracy in data collection for the beach profiles and the definition of the median grain size calculation using collected samples are the two main factors that have been taken into account in this paper. These data can generate high uncertainties and can produce a lack of accuracy in nourishment projects. Together they can generate excessive costs due to possible excess or shortage of sand used for the nourishment. The main goal of this paper is the development of a new methodology to increase the accuracy of the existing equilibrium beach profile models, providing an improvement to the inputs used in such models and in the fitting of the formulae used to obtain seabed shape. This new methodology has been applied and tested on Valencia's beaches.

Fine-scale estimations of bioclimatic change in the Valencia region, Spain

Recent advances in statistical downscaling have allowed the reconstruction of temperatures for the complete 1948–2011 period in a spatial resolution of 90 m and without gaps for the Valencian Community (Spain) and bordering areas. It presently enables analyses in this region, which allows the determination of recent temperature changes at subregional and local scales. The present work focuses on obtaining the thermicity index according to Rivas-Martínez, a well-known indicator of different thermotypes associated with bioclimatic horizons. The change in this index, which has happened in the region between 1948 and 2011, was calculated by generating fine-scale maps of the potential extension of different thermotypes. The results show a greater regression for the thermotypes in a finicolous position, e.g. Orotemperate, Supratemperate and Supramediterranean horizons, which herein indicate greater potential vulnerability in climate change. In the absence of, and given the need for, such fine-scale information, this work should be useful for specialized researchers to spatially limit the potentially most vulnerable biotopes to climate change.