Home > Articles > Rain in the desert; A precipitation reconstruction of the last 156 years inferred from Aleppo Pine in the Bardenas Natural Park, Spain
Resumen: Understanding the regional hydroclimatic variability beyond the instrumental period is essential to contextualize the current climatic period within a longer record. Dendrochronology has been used as a powerful tool for estimating the temperature and precipitation variability of the last centuries on an annual and even seasonal scale. However, most of the centenary trees in Spain are located in high-elevation mountain environments, so the reconstructed signal is not representative of the climate variability of the lowlands, where the main cities and most of the population and human activities are located. Here we present a precipitation reconstruction of the Bardenas Natural Park, a semi-arid environment within the Ebro Valley, based on 61 new tree-ring width series of Pinus halepensis Mill. The new chronology, calibrated against high-resolution instrumental precipitation data, uncovers a high and robust relationship with the annual precipitation (from previous June to current May) (1951-2012 CE; r = 0.78;), representing the precipitation totals of the hydrological year. Our reconstruction explains 61 % of the annual precipitation for the period 1951-2012 and is representative of the lowlands of the Northeast of Spain. We identified 12 extremely dry and 11 extremely wet years, finding the first half of the 20th century to be the period with most extreme episodes of the reconstruction. Additionally, we found a strong agreement between our tree-ring based reconstruction and the lowlands documentary-based drought estimators (rogation ceremonies). These findings contribute to improving our understanding of past hydroclimatic variability in semi-arid lowland areas where available proxy records are rare. Idioma: Inglés DOI: 10.1016/j.dendro.2020.125759 Año: 2020 Publicado en: DENDROCHRONOLOGIA 64 (2020), 125759 1-9 ISSN: 1125-7865 Factor impacto JCR: 2.691 (2020) Categ. JCR: FORESTRY rank: 11 / 67 = 0.164 (2020) - Q1 - T1 Categ. JCR: GEOGRAPHY, PHYSICAL rank: 30 / 50 = 0.6 (2020) - Q3 - T2 Factor impacto SCIMAGO: 0.856 - Plant Science (Q1) - Ecology (Q1)