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Santiago Beguería  - - - 
Top co-authors See all
Christine Alewell

131 shared publications

Environmental Geosciences, University of Basel, Basel, Switzerland

Ana Navas

105 shared publications

Estacion Experimental de Aula Dei, Zaragoza, Aragón, SPAIN

Silas Chr. Michaelides

103 shared publications

The Cyprus Institute, Nicosia 2121, Cyprus

Panos Panagos

87 shared publications

European Commission, Joint Research Centre, Sustainable Resources Directorate, Via E. Fermi 2749, I-21027 Ispra (VA), Italy

Diego G. Miralles

80 shared publications

Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Gent, Belgium

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Publication Record
Distribution of Articles published per year 
(2003 - 2018)
Total number of journals
published in
 
32
 
Publications See all
Article 0 Reads 0 Citations STEAD: A high-resolution daily gridded temperature dataset for Spain Roberto Serrano-Notivoli, Santiago Beguería, Martín De Luis Published: 16 April 2019
Earth System Science Data Discussions, doi: 10.5194/essd-2019-52
DOI See at publisher website ABS Show/hide abstract
Using the full total of available 5520 observatories covering the whole territory of Spain, a daily gridded maximum and minimum temperature was built covering a period from 1901 to 2014 in peninsular Spain and 1971–2014 in Balearic and Canary Islands. A comprehensive quality control was applied to the original data and the gaps were filled on each day and location independently. Using the filled data series, a grid of 5 × 5 km spatial resolution was created by estimating daily temperatures and their corresponding uncertainties at each grid point. Four daily temperature indices were calculated to describe the spatial distribution of absolute maximum and minimum temperature, number of frost days and number of summer days in Spain. The southern plateau showed the maximum values of maximum absolute temperature and summer days, while the minimum absolute temperature and frost days reached their maximums at northern plateau. The use of all the available information, the complete quality control and the high spatial resolution of the grid allowed for an accurate estimate of temperature that represents a precise spatial and temporal distribution of daily temperatures in Spain. STEAD dataset is publicly available at http://dx.doi.org/10.20350/digitalCSIC/8622.
Article 1 Read 0 Citations Genetic association with high‐resolution climate data reveals selection footprints in the genomes of barley landraces ac... Bruno Contreras-Moreira, Roberto Serrano-Notivoli, Naheif E.... Published: 02 April 2019
Molecular Ecology, doi: 10.1111/mec.15009
DOI See at publisher website ABS Show/hide abstract
Landraces are local populations of crop plants adapted to a particular environment. Extant landraces are surviving genetic archives, keeping signatures of the selection processes experienced by them until settling in their current niches. This study intends to establish relationships between genetic diversity of barley (Hordeum vulgare L.) landraces collected in Spain and the climate of their collection sites. A high‐resolution climatic dataset (5x5 km spatial, 1‐day temporal grid) was computed from over 2,000 temperature and 7,000 precipitation stations across peninsular Spain. This dataset, spanning the period 1981‐2010, was used to derive agroclimatic variables meaningful for cereal production at the collection sites of 135 barley landraces. Variables summarize temperature, precipitation, evapotranspiration, potential vernalization and frost probability at different times of the year and time scales (season and month). SNP genotyping of the landraces was carried out combining Illumina Infinium assays and genotyping‐by‐sequencing, yielding 9,920 biallelic markers (7,479 with position on the barley reference genome). The association of these SNPs with agroclimatic variables was analysed at two levels of genetic diversity, with and without taking into account population structure. The whole datasets and analysis pipelines are documented and available at http eead‐csic‐compbio github io/barley‐agroclimatic‐association. We found differential adaptation of the germplasm groups identified to be dominated by reactions to cold temperature and late‐season frost occurrence, as well as to water availability. Several significant associations pointing at specific adaptations to agroclimatic features related to temperature and water availability were observed, and candidate genes underlying some of the main regions are proposed. This article is protected by copyright. All rights reserved.
Article 0 Reads 0 Citations High-spatial-resolution probability maps of drought duration and magnitude across Spain Fernando Domínguez-Castro, Sergio M. Vicente-Serrano, Miquel... Published: 21 March 2019
Natural Hazards and Earth System Sciences, doi: 10.5194/nhess-19-611-2019
DOI See at publisher website ABS Show/hide abstract
Assessing the probability of occurrence of drought is important for improving current drought assessment, management and mitigation measures, and strategies across Spain. This study employed two well-established drought indices, the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI), to characterize drought duration and magnitude at different timescales over Spain. In order to map the drought hazard probability, we applied the extreme value theory and tested different thresholds to generate peak-over-threshold (POT) drought duration and magnitude series. Our results demonstrate that the generalized Pareto (GP) distribution performs well in estimating the frequencies of drought magnitude and duration. Specifically, we found a good agreement between the observed and modelled data when using upper percentiles to generate the POT series. Spatially, our estimations suggest a higher probability of extreme drought events in southern and central Spain compared to the northern and eastern regions. Also, our study found spatial differences in drought probability estimations as a function of the selected drought index (i.e. SPI vs. SPEI) and timescale (i.e. 1, 3, 6, and 12 months). Drought hazard probability maps can contribute to the better management of different sectors (e.g. agriculture, water resources management, urban water supply, and tourism) at national, regional, and even local scale in Spain.
Article 0 Reads 0 Citations The impact of drought on the productivity of two rainfed crops in Spain Marina Peña-Gallardo, Sergio Martín Vicente-Serrano, Fernand... Published: 09 January 2019
Natural Hazards and Earth System Sciences Discussions, doi: 10.5194/nhess-2019-1
DOI See at publisher website ABS Show/hide abstract
Drought events are of great importance in most Mediterranean climate regions because of the diverse and costly impacts they have in various economic sectors and on the environment. The effects of this natural hazard on rainfed crops are particularly evident. In this study the impacts of drought on two representative rainfed crops in Spain (wheat and barley) were assessed. As the agriculture sector is vulnerable to climate, it is especially important to identify the most appropriate tools for monitoring the impact of the weather on crops, and particularly the impact of drought. Drought indices are the most effective tool for that purpose. Various drought indices have been used to assess the influence of drought on crop yields in Spain, including the standardized precipitation and evapotranspiration index (SPEI), the standardized precipitation index (SPI), the Palmer drought indices (PDSI, Z-Index, PHDI, PMDI), and the standardized Palmer drought index (SPDI). Two sets of crop yield data at different spatial scales and temporal periods were used in the analysis. The results showed that drought indices calculated at different time scales (SPI, SPEI) most closely correlated with crop yield. The results also suggested that different patterns of yield response to drought occurred depending on the region, period of the year, and the drought time scale. The differing responses across the country were related to season and the magnitude of various climate variables.
Article 0 Reads 0 Citations A high-resolution spatial ass essment of the impacts of drought variability on vegetation activity in Spain from 1981 to... Sergio M. Vicente-Serrano, Cesar Azorin-Molina, Marina Peña-... Published: 27 November 2018
Natural Hazards and Earth System Sciences Discussions, doi: 10.5194/nhess-2018-356
DOI See at publisher website ABS Show/hide abstract
Drought is a major driver of vegetation activity in Spain, with significant impacts on crop yield, forest growth, and the occurrence of forest fires. Nonetheless, the sensitivity of vegetation to drought conditions differs largely amongst vegetation types and climates. We used a high-resolution (1.1km) spatial dataset of the Normalized Difference Vegetation Index (NDVI) for the whole Spain spanning the period from 1981 to 2015, combined with a another newly developed dataset of the Standardized Precipitation Evapotranspiration Index (SPEI) to assess the sensitivity of vegetation types to drought across Spain. In specific, this study explores the drought time scales at which vegetation activity shows its highest response to drought severity at different moments of the year. Results demonstrate that − over large areas of Spain − vegetation activity is controlled largely by the interannual variability of drought. More than 90% of the land areas exhibited statistically significant positive correlations between the NDVI and the SPEI during dry summers (JJA). Nevertheless, there are some considerable spatio-temporal variations, which can be linked to differences in land cover and aridity conditions. In comparison to other climatic regions across Spain, results indicate that vegetation types located in arid regions showed the strongest response to drought. Importantly, this study stresses that the time scale at which drought is assessed is a dominant factor in understanding the different responses of vegetation activity to drought.
Article 0 Reads 0 Citations High-spatial resolution probability maps of drought duration and magnitude across Spain Fernando Domínguez-Castro, Sergio M. Vicente-Serrano, Miquel... Published: 01 November 2018
Natural Hazards and Earth System Sciences Discussions, doi: 10.5194/nhess-2018-289
DOI See at publisher website ABS Show/hide abstract
We mapped – for the first time – the probability of occurrence of drought over Spain, with the overriding aim of improving current drought assessment, management and mitigation measures and strategies across the region. We employed two well-established drought indices: the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). Drought characteristics (i.e. duration and severity) were characterised at 1-, 3-, 6- and 12-month, implying that drought event is attained only when the index values are lower than zero. We applied the extreme value theory to map drought hazard probability. Following this procedure, we tested different thresholds to generate the peak-over-threshold drought severity and magnitude series, besides evaluating different three-parametric distributions and thresholds to fit these series. Our results demonstrate that the Generalized Pareto distribution performs well in estimating the frequencies of drought magnitude and duration, with good agreement between the observed and modelled data when using upper percentiles to generate the peak-over-threshold series. Spatially, our estimations suggest a higher probability of extreme drought events in southern and central areas of Spain, compared to northern and eastern regions. Nevertheless, there are strong differences in drought probability estimations between drought indices (i.e. SPI and SPEI), as well as among drought timescales.
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