Who, where and what
Dendroteam research group consists of professors and researchers from the Department of Geography and Regional Planning at the University of Zaragoza with contributions from the Department of Ecology at the University of Alicante, the Biotechnical Faculty at the University of Ljubljana, and the University of Barcelona.
The research group 'Climate, water, global change and natural systems' belongs to the Environmental Sciences Institute of Aragon (IUCA), Government of Aragon.
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Here you can find latest studies published
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Chasing traces from the past is a project co-financed by the Spanish Foundation for Science and Technology (FECYT)(FCT-16-11318 'El pasado del clima'), and the Spanish Ministry of Economy, Industry and Competitiveness under the framework of the project 'Variability, trends and extremes of the climate in the Mediterranean side of the Iberian Peninsula since the sixteenth century. Multiproxy and instrumental analysis' (CGL2015-69985-R.
The main goal is to reveal the tools used by different research teams in the reconstruction of past climate conditions, as well as highlighting the importance and relevance of understanding the climate variability, trends and extremes from the past to our days.
The project is carried out by scientists of the Department of Geography and Regional Planning of the University of Zaragoza, with experience in science promotion and outreach.
Spatially based reconstruction of daily precipitation instrumental data series
Serrano-Notivoli, de Luis, Saz et al. 2017 (CR)
This work presents a method for the reconstruction of fragmentary daily precipitation datasets. The method aims to preserve the local and temporal variability characteristic of high-frequency precipitation data, and does not use the time-structure of the data. Based on the precipitation values recorded at closest neighbours during a target day, two reference values (RV) are computed: a binomial prediction (BP) expressing the probability of occurrence of a wet day; and a magnitude prediction (MP), referring to the amount of precipitation. Generalised linear models (GLM) are used to compute the RV using the precipitation data (occurrence and magnitude) of the 10 nearest neighbours as the dependent variable, and the geographic information of each station (latitude, longitude, and altitude) as the independent variables. The RV are then used to: (1) apply quality control to the data, flagging suspect records according to five predefined criteria; (2) obtain serially complete time series by imputing RV to missing observations in the original dataset; (3) create new time series at locations where there were no observations or gridded datasets with even spatial coverage over the study area. The routines used were compiled into an R-package called reddPrec (reconstruction of daily data - Precipitation) available to any user. We applied the methods described to the complete daily precipitation dataset of the island of Majorca in Spain, spanning the period from 1971 to 2014.
SPREAD: A high-resolution daily gridded precipitation dataset for Spain - An extreme events frequency and intensity overview,
Serrano-Notivoli, Saz, Longares, de Luis et al. 2017 (ESSD)
A high-resolution daily gridded precipitation dataset was built from raw data of 12 858 observatories covering a period from 1950 to 2012 in peninsular Spain and 1971 to 2012 in Balearic and Canary islands. The original data were quality-controlled and gaps were filled on each day and location independently. Using the serially complete dataset, a grid with a 5 × 5 km spatial resolution was constructed by estimating daily precipitation amounts and their corresponding uncertainty at each grid node. Daily precipitation estimations were compared to original observations to assess the quality of the gridded dataset. Four daily precipitation indices were computed to characterise the spatial distribution of daily precipitation and nine extreme precipitation indices were used to describe the frequency and intensity of extreme precipitation events. The Mediterranean coast and the Central Range showed the highest frequency and intensity of extreme events, while the number of wet days and dry and wet spells followed a north-west to south-east gradient in peninsular Spain, from high to low values in the number of wet days and wet spells and reverse in dry spells. The use of the total available data in Spain, the independent estimation of precipitation for each day and the high spatial resolution of the grid allowed for a precise spatial and temporal assessment of daily precipitation that is difficult to achieve when using other methods, pre-selected long-term stations or global gridded datasets. SPREAD dataset is publicly available at https://doi.org/10.20350/digitalCSIC/7393.
Summer drought reconstruction in Northeastern Spain inferred from a tree-ring latewood network since 1734
Tejedor, Saz, de Luis, Cuadrat et al. 2017 (GRL)
Drought recurrence in the Mediterranean is regarded as a fundamental factor for socioeconomic development and the resilience of natural systems in context of global change. However, knowledge of past droughts has been hampered by the absence of high-resolution proxies. We present a drought reconstruction for the northeast of the Iberian Peninsula based on a new dendrochronology network considering the Standardized Evapotranspiration Precipitation Index (SPEI). A total of 774 latewood width series from 387 trees of P. sylvestris and P. uncinata was combined in an interregional chronology. The new chronology, calibrated against gridded climate data, reveals a robust relationship with the SPEI representing drought conditions of July and August. We developed a summer drought reconstruction for the period 1734–2013 representative for the northeastern and central Iberian Peninsula. We identified 16 extremely dry and 17 extremely wet summers and four decadal scale dry and wet periods, including 2003–2013 as the driest episode of the reconstruction.
An R package for daily precipitation climate series reconstruction
Serrano-Notivoli, de Luis, et al. 2017 (EM&S)
Daily precipitation datasets are usually large, bulky and hard to handle, but they are of key importance in many environmental studies. We developed a tool to create custom datasets from observed daily precipitation records. Reference values (RV) are computed for each day and location using multivariate logistic regression with altitude, latitude and longitude as covariates. The operations were compiled in an Open Source R package called reddPrec. The reddPrec package consists of a set of functions used to: i) apply a comprehensive quality control over original daily precipitation datasets, flagging suspect data based on five predefined criteria; ii) fill missing values in original data series by estimating precipitation values using the 10 nearest observations for each day; and iii) create new series and gridded datasets in locations where no data were recorded.
Temperature variability in the Iberian Range since 1602 inferred from tree-ring records
Tejedor, Saz , Cuadrat, de Luis, et al. 2017 (CP)
Tree rings are an important proxy to understand the natural drivers of climate variability in the Mediterranean Basin and hence to improve future climate scenarios in a vulnerable region. Here, we compile 316 tree-ring width series from 11 conifer sites in the western Iberian Range. We apply a new standardization method based on the trunk basal area instead of the tree cambial age to develop a regional chronology which preserves high- to low-frequency variability. A new reconstruction for the 1602–2012 period correlates at −0.78 with observational September temperatures with a cumulative mean of the 21 previous months over the 1945–2012 calibration period. The new IR2Tmax reconstruction is spatially representative for the Iberian Peninsula and captures the full range of past Iberian Range temperature variability. Reconstructed long-term temperature variations match reasonably well with solar irradiance changes since warm and cold phases correspond with high and low solar activity, respectively. In addition, some annual temperature downturns coincide with volcanic eruptions with a 3-year lag.
Soil moisture and its role in growth-climate relationships across an aridity gradient in semiarid Pinus halepensis forests
Manrique- Alba A, Novak K, de Luis M, et al., 2016 (STOTEN)
In Mediterranean areas with limited availability of water, an accurate knowledge of growth response to hydrological variables could contribute to improving management and stability of forest resources. The main goal of this study is to assess the temporal dynamic of soil moisture to better understand the water-growth relationship of Pinus halepensis forests in semiarid areas. Firstly, dendrochronological samples were extracted and the widths of annual tree rings were measured to compute basal area increments (BAI). Secondly, soil moisture was estimated over 20 hydrological years (1992–2012) by means of the HYDROBAL ecohydrological model. Finally, the tree growth was linked, to mean monthly and seasonal temperature, precipitation and soil moisture. Results depict the effect of soil moisture on growth (BAI) and explain 69–73% of the variance in semiarid forests, but only 51% in the subhumid forests. This highlights the fact that that soil moisture is a suitable and promising variable to explain growth variations of afforested Pinus halepensis in semiarid conditions and useful for guiding adaptation plans to respond pro-actively to water-related global challenges.
Missing rings in Pinus halepensis – the missing link to relate the tree-ring record to extreme climatic events
Novak et al. 2016 (Frontiers in Plant Science)
Climate predictions for the Mediterranean Basin include increased temperatures, decreased precipitation, and increased frequency of extreme climatic events (ECE). These conditions are associated with decreased growth of trees and their increased vulnerability to pests and diseases. The anatomy of tree rings is responsive to these environmental conditions. Quantitatively, the width of a tree ring is largely determined by the rate and duration of cell division by the vascular cambium. In the Mediterranean climate, cambial cell division may occur throughout almost the entire year. Alternatively, cell division may stop during relatively cool and dry winters, only to resume in the same year with milder temperatures and increased availability of water...
De Micco, V., Campelo, F., De Luis, M., Bräuning, A., Grabner, M., Battipaglia, G., Cherubini, P. (2016). Intra-annual density fluctuations in tree rings: How, when, where, and why? IAWA Journal, 37 (2), pp. 232-259. DOI: 10.1163/22941932-20160132.[PDF]
Cuadrat J.M., Serrano-Notivoli R., Saz-Sánchez M.A., Tejedor E., Prohom M., Cunillera J., Soubeyroux J.M., Deaux N., Esteban P. (2014). El Clima de los Pirineos: Base de datos y primeros resultados. Boletín de la Asociación Meteorológica. Española, 46, pp. 36-39. ISSN 1696-764X. Madrid.
Deaux N., Soubeyroux J.M., Cuadrat J.M., Cunillera J., Esteban P., Prohom M. & Serrano-Notivoli R. 2014. Homogénéisation transfrontalière des températures sur le massif des Pyrénées. XXVIIe Colloque de l’Association Internationale de Climatologie. 2-5 juillet 2014, Dijon, France. [PDF]
Cogălniceanu D., Castilla A.M., Valdeon A., Gosa A., Al-Jaidah N., Alkuwary A., Saifelnasr E.O.H., Mas-Peinado P., Richer R. & Al-Hemaidi A.A.M. (2014). A preliminary report on the distribution of lizards in Qatar. ZooKeys 373: 67–91. doi: 10.3897/zookeys.373.5994. [PDF]
Spanish Climatology. Past, present and future
SPREAD (Spanish PREcipitation At Daily scale)
Spanish PREcipitation At Daily scale (SPREAD) is a new daily gridded precipitation dataset for Spain. It covers the whole territory of peninsular Spain and Balearic and Canary Islands at a 5x5 kilometre spatial resolution. Daily precipitation was estimated for each point of the grid from 1950-01-01 to 2012-12-31 in peninsular Spain and from 1971-01-01 to 2012-12-31 in the Balearic and Canary Islands. The grid was built using a previously reconstructed station-based dataset using reddPrec package (https://cran.r-project.org/web/packages/reddPrec). The observed precipitation information comprised 12,858 stations provided by Spanish Meteorological Agency (AEMET); Ministry of Agriculture and Environment (MAGRAMA); Meteorologic Service of Catalonia (METEOCAT); Navarra Government and several hydrological confederations.
HERE YOU CAN DOWNLOAD RING WIDTH (RW), LATEWOOD WIDTH (LW) and EARLYWOOD WIDTH (EW) RAW DATA FROM PINUS SYLVESTRIS AND PINUS UNCINATA OF THE NORTH EAST OF SPAIN. A catalogue with information regarding the existing dendro sites can be consulted here.
When using data please use the following reference:
Tejedor, Ernesto; Saz, Miguel Ángel; De Luis, Martin; Knovak, Klemen; Martínez del Castillo, Edurne; Longares, Luis Alberto; Serrano-Notivoli, Roberto; Cuadrat, José María (2017): Tree-ring width dataset of the Northeastern Iberian Peninsula since 1593. PANGAEA, https://doi.org/10.1594/PANGAEA.878136,
Retrieved: 11 25, Feb 06, 2017 (GMT)