STEP UP project: the Lecciona dataset 2021 [* Cross-Reference *]

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Fabiani, Ginevra; Verdone, Matteo; Manca di Villahermosa, Francesca Sofia; Pfister, Laurent; Klaus, Julian; Penna, Daniele, 2025, "STEP UP project: the Lecciona dataset 2021 [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.FXYK7M, LIST Open Repository, V1
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Understanding the interaction between topography and vegetation across different environments is important to assess how hydrological and climatic conditions affect tree physiological activity. This becomes especially important given the expected reduction in water availability and increase in water demand driven by climate change. These extremes could enhance the thermal and hydrologic gradients along slopes. Multiple studies that investigated the effect of water limitations on forest vulnerability have neglected landscape heterogeneity at fine spatial resolutions, even though soil properties and topography are important abiotic factors for forest health (Schwantes et al., 2018). STEP-UP (Space-time patterns of tree water uptake at hillslopes with contrasting climate and geology) project aimed to investigate the spatio-temporal dynamics of water sources for beech trees (Fagus sylvatica L.). This species is abundant in many temperate European forest ecosystems, which could be strongly impacted by the predicted intensification of dry and wet spells (IPCC, 2023). The aim of the project is to get a better understanding of how climate, geology, and topography shape beech tree water uptake patterns along the catena by using a combination of hydro-meteorological observations, sap velocity measurements, and δ2H and δ18O measurements sampled in groundwater, soil water, and xylem water. For this purpose, we conducted a comparative study on a gentle (10 degrees) hillslope in the Weierbach catchment in Luxembourg (oceanic climate) (see Fabiani et al., 2022) and a steep (30 degrees) hillslope in the Lecciona catchment in Italy (Mediterranean climate). In this dataset, we present the data collected over 2021 in the Lecciona catchment only. This dataset encompasses the following files: conceptual figure named “Conceptual_figure_Weierbach_Lecciona” daily sap velocity averaged among trees located at the same hillslope location named “Lecciona_sapvelocity_2021” isotopic database (d18O and d2H) of xylem water, soil, groundwater, stream and precipitation named "Lecciona_isotopes_dataset_2021" Sapflow sensors installation, maintenance and data cleaning were performed by Ginevra Fabiani in the framework STEP UP project (AFR/STEP-UP ID 12546983). Xylem, soil and water samples in 2021 were collected, treated and analyzed by Ginevra Fabiani. Water samples in 2019 and 2020 were collected by Francesca Manca di Villa Hermosa and Matteo Verdone and treated and analyzed by Ginevra Fabiani. Daniele Penna, Julian Klaus and Laurent Pfister were responsible for founding acquisition and project management. (2023-09-08)
***This entry has been automatically imported from Zenodo by LIST harvest script. Please refer to the DOI for the original and latest version of the dataset.*** (2024-07-17)
Subject Earth and Environmental Sciences
Keyword sap velocity, isotopic composition, database, ecohydrology
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