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5 results for “Weierbach”
Data Repository: Land surface modelling activities at Weierbach catchment.
<p>The data in this repository comes from the modelling activities with the Community Land Model version 5.0 (CLM5) carried out at the Weierbach catchment, Luxembourg. The repository contains:</p> <ol> <li>A list of matric potentials of <em>Fagus sylvatica </em>at which it experiences a specific loss of conductivity (i.e., 12%, 50%, 88%) obtained from published data [File: additional_PHT_Fagus_sylvatica_Europe.csv].</li> <li>The hourly atmospheric forcing used during the simulations with CLM 5.0 in a NetCDF format [File: atmospheric_forcing.zip].</li> <li>All model results per experiment [model_results.zip].</li> <li>The R scripts for processing the model results for obtaining the information required for each figure [Files: manuscript_figure_#.R].</li> <li>A daily summary of the tree water deficit calculated per PFT, individual tree species, and the whole ecosystem [File: twd.csv].</li> <li>A daily summary of tree transpiration scaled at the catchment level per PFT, individual tree species, and the whole ecosystem [File: et_mm_wei.csv]. This daily summary is based on the hourly data available on: Klaus, J., Fabiani, G., Schoppach, R., Chun, K. P., Iffly, J. F., Penna, D., & Juilleret, J. (2024). Detailed sap flow monitoring data at Weierbach catchment, Luxembourg (Version v01) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.11381618" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.11381618</a></li> </ol>
Detailed sap flow monitoring data at Weierbach catchment, Luxembourg
<p>The current repository contains the dasometric data of monitored trees, hourly sap flow data, and tree surveys carried out at the Weierbach catchment during 2019 and 2020. The monitored trees include the following species:</p> <p>- Beech (<em>Fagus sylvatica </em>L.)</p> <p>- Douglas Fir (<em>Pseudotsuga menziesii</em> (Mirbel) Franco)</p> <p>- Spruce (<em>Picea abies </em>L.)</p> <p>- Oak (hybrids of <em>Quercus petraea</em> (Matt.) Liebl. and <em>Quercus robur </em>L.)</p> <p>The sap flow data for all the trees is presented in cm/hr.</p> <p>The bark data presented in the "dasometry_individual_trees.csv" was obtained from the literature.</p>
One year of high frequency monitoring of groundwater physico-chemical parameters in the Weierbach Experimental Catchment, Luxembourg.
<p><span>We present a novel dataset from the Weierbach Experimental Catchment in Luxembourg, derived from a year-long high-frequency monitoring campaign focused on groundwater physico-chemical parameters. Through meticulous data collection and rigorous quality control, parameters such as electrical conductivity, dissolved oxygen, oxidation-reduction potential, pH and cations/anion concentrations were measured, offering new insights into the CZ's hydrological and biogeochemical dynamics. The dataset highlights the intricate interplay between redox reactions, pH, and ion exchange processes, as well as the influence of seasonal variability and flowline interactions on solute transport.</span></p> <p><span>By providing a detailed view of the catchment's response to hydrological changes, this dataset fills a significant gap in CZ research, offering a valuable resource for advancing our understanding of hydro-biogeochemical catchment processes. This contribution is not only a step forward in CZ science but also serves as a critical tool for researchers and practitioners aiming to refine models, inform land management practices, and foster a more holistic understanding of catchment biogeochemistry.</span></p>
Hydraulic mixing cell simulation of sources of surface water in the Weierbach catchment
<p>The dataset contains the meteorological forcing data and results of the hydraulic mixing cell (HMC) simulation presented and discussed in the research article: </p> <p><em>Sources of surface water in space and time: Identification of delivery processes and geographical sources with hydraulic mixing-cell modeling</em> (DOI:10.1029/2021WR030332)</p> <p>The simulation was performed with the model HydroGeoSphere and the HMC modelling was used to identify the delivery processes and geographical sources of surface water at specific points of interest (POI) within the riparian-stream continuum of the Weierbach catchment (Luxembourg). Detailed information on the model setup, the location of the POIs, the considered source types and source areas, and the processing we applied to the raw simulation output is given in the research article.</p>
STEP UP project: the Weierbach dataset 2019-2020
<p>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 (<a href="https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.15274">Schwantes et al., 2018</a>).</p> <p>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 (<em>Fagus sylvatica </em>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.</p> <p>For this purpose, we conducted a comparative study on a gentle (10 degrees) hillslope in the Weierbach catchment in Luxembourg (oceanic climate) (see <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eco.2382">Fabiani et al., 2022)</a> and a steep (30 degrees) hillslope in the Lecciona catchment in Italy (Mediterranean climate).</p> <p>In this dataset, we present the data collected over 2019 and 2020 in the Weierbach catchment only. This dataset encompasses the following files:</p> <p>- conceptual figure named “Conceptual_figure_Weierbach_Lecciona”</p> <p>- daily sap velocity from three beech trees named “Weierbach_sapvelocity_2019-2020”</p> <p>- isotopic database (d<sup>18</sup>O and d<sup>2</sup>H) of xylem water, soil, groundwater, stream and precipitation named "Weierbach_isotopes_dataset_2019-2020"</p> <p>Sapflow sensors installation, maintenance and data cleaning were performed by Ginevra Fabiani and Remy Schoppach in the framework of EFFECT and STEP UP projects (AFR/STEP-UP ID 12546983 and FNR/CORE/C17/SR/11702136/EFFECT). Xylem, soil and water samples were collected, treated and analyzed by Ginevra Fabiani. Soil samples of 2020 were analyzed by Adnan Moussa. Julian Klaus, Daniele Penna and Laurent Pfister were responsible for founding acquisition and project management.</p>
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