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27 results for “Transpiration”
Saddle catchment Distributed Hydrology Soil Vegetation Model Simulation (DHSVM) precipitation and transpiration variable outputs (precipitation, total, potential and actual evapotranspiration), 2 meter, 2000-2019.
The Saddle Catchment of the Niwot Ridge LTER is a densely observed, high elevation site that is ideal for hydrological model simulation and calibration. The files produced are the result of a calibration of the Distributed Hydrology Soil Vegetation model (DHSVM) using observationally based states and forcings. Input state files of vegetation, soil properties, shading, and elevation were generated using ground and satellite observations, which, in the case of coarse-resolution or point scale observations, were then interpolated to match the high resolution of the model (2-meter grid cells). Temporally continuous meteorological forcings at the hourly time-step were used to force the model to produce an hourly simulation of the surface and subsurface hydrology within the Saddle catchment. DHSVM was calibrated to effectively reproduce the annual cycle (r^2) and total volume (percent bias) of observed runoff using observations of streamflow at the outflow pour point of the Saddle Catchment from 2001-2019. Calibrated parameters include the lateral conductivity of soil types, exponential decrease of soil conductivity, snow roughness, the snow melting temperature threshold, and the vertical conductivity of the soils. The resulting simulation generated spatially distributed time series of the snow water equivalent, snow melt, precipitation, total evapotranspiration, potential evapotranspiration, and a time-series of the total runoff generated at the outflow pour-point of the Saddle catchment. This data package contains the spatially distributed time series of precipitation, total evapotranspiration and actual evapotranspiration Outputs of snow water equivalent, snow melt, and runoff, as well as the model configuration file, as well as model inputs are archived separately on the Environmental Data Initiative.
CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia: Dataset
<p>This repository is linked to the paper "CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia" submitted to Annals of Forest Science and written by Louis DE WERGIFOSSE (corresponding author), Frédéric ANDRE, Hugues GOOSSE, Steven CALUWAERTS, Lesley DE CRUZ, Rozemien DE TROCH, Bert VAN SCHAEYBROECK and Mathieu JONARD.</p> <p>The files stored in the repository are the input files that should be used in the model HETEROFOR to retrieve the results displayed in the study and the corresponding results themselves. The source code of the model HETEROFOR can be freely accessed and downloaded (https://doi.org/10.5281/zenodo.3591348). Additional information on the model can be found in the following description papers: Jonard et al., 2020 (https://doi.org/10.5194/gmd-13-905-2020) and de Wergifosse et al., 2020 (https://doi.org/10.5194/gmd-13-1459-2020).</p> <p>The repository contains three directories. The first (HETEROFOR_input_files) comprises the additional files to those in the model repository presented in the previous paragraph needed to run the model for the purpose of this study. The second directory (Simulation_outputs_raw) contains the data directly provided by the model without any processing. The third directory (Simulation_outputs_raw) includes the model outputs after processing.</p> <p>The directory "HETEROFOR_input_files" is constituted of two directories called "Climate_files" and "Stand_files". "Climate_files" is subdivided in three sub-directories. Sub-directory "Original_downscaled_CORDEX_timeseries" contains the climate projections of the four sites and scenarios described in the study. These downscaled timeseries have been produced by the Royal Meteorological Institute of Belgium under the program CORDEX.be, which is part of EURO-CORDEX. A bias correction has been further applied to these climate timeseries that are stored in the "Bias_corrected_timeseries" sub-directory. The files of these two sub-directories should be used in HETEROFOR as "Meteorological data" input files. The "CO2_concentrations" sub-directory includes the yearly averaged projected concentrations for the three RCP scenarios described in the paper. In HETEROFOR, they should be put as input in the "Atmospheric CO2 concentration" part after selecting the option "Variable over time". The second directory called "Stand files" contain the six inventory files described in the study for which a thinning has been applied. They should be used in HETEROFOR as "Inventory data" input files.</p> <p>The directory "Simulation_outputs_raw" is divided similarly to the study into two simulation experiments. The "First simulation experiment" directory is further subdivided into constant and time-dependent CO2 concentrations like in the study and contains one file for the regular modality and one for the thinning modality. All the files are constructed the same way with, for each tree and site (or stand, soil and climate), annual values of Net Primary Production (NPP) in kg of carbon, transpiration and potential transpiration in L under the different climate scenarios. In addition, the "Phenology" directory contains, for each day and under all climate scenarios, the green proportion (proportion of green leaves comprised between 0 and 1) for the two tree species considered in the study (Common oak and European beech).</p> <p>Finally, the directory "Simulation_outputs_processed" is constructed similarly to "Simulation_outputs_raw" but all the data are integrated in one file at the yearly time step. However, the units change with the NPP expressed in gC/m2 and transpiration and potential transpiration in mm (or L/m2) while the vegetation period is averaged according to the percentage of species occurrence<br> in the different stands.</p> <p><br> For more information concerning this repository or the study, please do not hesitate to contact Louis DE WERGIFOSSE (louis.dewergifosse@uclouvain.be) or Mathieu JONARD (mathieu.jonard@uclouvain.be).</p>
Transpiration response under drought conditions of sedlings exposed to EMF
<p>Supplementary information of the manuscript: 10.1093/treephys/tpae029</p> <p>Dataset of seedlings exposed to ectomycorrhizal fungi (EMF) containing: transpiration rate and needle water potential time-series, fluorescence, dry biomass, and root morphology traits.</p> <p>Pine seedlings were exposed to EMF and then subject to drought stress for 10 days followed by 14 days of recovery. </p> <p>Transpiration was measured by weight loss, and needle water potential using a pressure chamber</p> <p>Fluorescence measurements were done at the National Plant Phenotyping Infrastructure (NaPPI) facilities at the University of Helsinki</p>
Estimating global transpiration from TROPOMI SIF with angular normalization and separation for sunlit and shaded leaves
<p>All three types of SIF-driven T models integrate canopy conductance (gc) with the Penman-Monteith model, differing in how gc is derived: from a SIFobs driven semi-mechanistic equation, a SIFsunlit and SIFshaded driven semi-mechanistic equation, and a SIFsunlit and SIFshaded driven machine learning model. </p> <p>The difference between a simplified SIF-gc equation and a SIF-gc equation is the treatment of some parameters and is shown in <a href="https://doi.org/10.1016/j.rse.2024.114586" rel="noreferrer">https://doi.org/10.1016/j.rse.2024.114586</a>.</p> <p>In this dataset, the temporal resolution is 1 day, and the spatial resolution is 0.2 degree.</p> <p>BL: SIFobs driven semi-mechanistic model</p> <p>TL: SIFsunlit and SIFshaded driven semi-mechanistic model</p> <p>hybrid models: SIFsunlit and SIFshaded driven machine learning model.</p>
Supplementary Materials of "Elementary mathematics helps to shed light on the transpiration budget under water stress"
<p>This directory contains the Jupyter notebook used to do complete analysis from our paper "Elementary mathematics sheds light on the transpiration budget under water stress" submitted to the Ecohydrology Journal at the Special Issues "ECOHYDROLOGY OF INLAND AND COASTAL WATERS in honor of Ignacio Rodriguez-Iturbe".</p> <p>These materials are referenced in the main text and supplemental text of the publication. The purpose of this repository is to facilitate replication of our analysis by any interested parties. </p> <p>Specifically, this directory contains ten files:</p> <ul> <li>From 0 to 5, Jupyter Notebook prepared and used for the analysis (please execute the notebooks in numerical sequence). </li> <li>"Table_S1.xlsx" Data From: Kröber, W., H. Heklau, and H. Bruelheide. 2015. “Leaf Morphology of 40 Evergreen and Deciduous Broadleaved Subtropical Tree Species and Relationships to Functional Ecophysiological Traits.” Plant Biology 17 (2): 373–83. <a href="https://doi.org/10.1111/plb.12250"><span>https://doi.org/10.1111/plb.12250</span></a>.</li> <li>"Richards_VG.csv" contains Van Genuchten Parameters for various soils.</li> <li>"The_Rosetta_Stone_of_the_Darcy_Buckingham_law.pdf" addresses the challenge of converting water flux units between Darcy-like soil and plant descriptions, where hydrologists use "head" units (meters) and plant physiologists use pressure potential (MPa). The aim is to clarify and perform the necessary unit conversions, with detailed explanations available in the relevant section on <a href="https://abouthydrology.blogspot.com/2022/10/my-water-management-in-agricolture.html"><span>this webpage</span></a>.</li> </ul>
Model configuration files and forcing data for Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration
<p>This repository includes the model configuration files, input data, and forcing data used for simulations in Bieri et al. (2025) - <em>Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration.</em></p> <ul> <li>forcing.tar.gz - Compressed folder containing HRLDAS Noah-MP model forcing NetCDF files <ul> <li>These forcing files were derived from the NASA Global Land Data Assimilation System (GLDAS; Beaudoing et al. 2020)</li> <li>The compressed file contains 3-hourly forcing files for the entire simulation period (01 Jun 2000 to 31 Dec 2019)</li> </ul> </li> <li>wrfinput_d01 - NetCDF file used as HRLDAS input file in HRLDAS Noah-MP simulations <ul> <li>Generated from WRF WPS (https://github.com/wrf-model/WPS)</li> </ul> </li> <li>Namelist files <ul> <li>namelist.hrldas.ROOT - Model namelist settings used for ROOT experiment</li> <li>namelist.hrldas.SOIL - Model namelist settings used for SOIL experiment</li> <li>namelist.hrldas.GW - Model namelist settings used for GW experiment</li> <li>namelist.hrldas.CONTROL - Model namelist settings used for FD (CONTROL) experiment</li> </ul> </li> </ul>
Data for: Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes
<p>This dataset contains measurements of evapotranspiration and other meteorological variables (net radiation, air temperature, vapor pressure deficit, etc) from nine eddy covariance towers located in different ecosystems in the Amazon (natural Amazon forest, cropland and pastureland), Cerrado (natural savannah, irrigated and rainfed croplands) and Pantanal (natural forest, pastureland) biomes. It also contains estimates of transpiration that were calculated using two different approaches, the transpiration estimation algorithm (TEA) and the underlying water use efficiency method (uWUE).</p>
CWFETB-China: Gridded dataset of consumptive water footprints, evaporation, transpiration, and associate benchmarks of crop production in China (2000-2018)
<p>The CWFETB-China is a 5-arcmin gridded dataset of monthly green and blue water footprint of crop production (WFCP), evaporation (E), transpiration (Tr), and associated unit WFCP benchmarks for 21 crops grown in China during 2000-2018. As compared to the existing gridded WFCP datasets, the CWFETB-China has four improvements: (i) It evaluated the effects of different water supply modes (irrigated or rain-fed) and irrigation practices (furrow, sprinkler, and micro-irrigation) on water consumption throughout the crop growth period. (ii) It distinguished between monthly blue and green water consumption via soil evaporation and crop transpiration. (iii) The dataset encompassed both the WFCP in m<sup>3 </sup>yr<sup>-1</sup> and the uWFCP in m<sup>3 </sup>ton<sup>-1</sup>. (iv) It identified uWFCP benchmarks that differentiated between various climatic zones and irrigation practices. The dataset is able to support for precise crop water productivity assessments, agricultural water-saving evaluations, the development of sustainable irrigation techniques, cropping structure optimisation, and crop-related interregional virtual water trade analysis.</p> <p> </p> <p>Format: NetCDF-4 (5 arcmin) or .xlsx files (benchmark data).</p> <p>Projected coordinate system: WGS 84</p>
Data from: Stronger cooling effects of transpiration and morphology of the plants from a hot dry habitat than from a hot wet habitat
1. Leaf temperature exerts an important impact on the microenvironment and physiological processes of leaves. Plants from different habitats have different strategies to regulate leaf temperature. The relative importance of morphology and transpiration for leaf temperature regulation in the hot habitat is still unclear. 2. We investigated 22 leaf morphological traits, transpiration, and thermal properties of 38 canopy species of seedlings in a greenhouse, including 18 dominant species from a hot wet habitat (HW) and 20 dominant species from a hot dry habitat (HD). To separate the impact of transpiration and morphology on leaf temperature, we measured the diurnal courses of leaf temperatures with and without transpiration. The temperature of a reference leaf beside each individual was measured simultaneously to render temperatures comparable. 3. Generally, the species from HD showed lower leaf temperatures than the species from HW under the same conditions. Both transpiration capacity and cooling effect of leaf morphology were stronger for the plants from HD. Active transpiration provides a suitable thermal environment for photosynthesis, while xeromorphic leaves can dampen heat stress when transpiration is suppressed. Higher vein density and stomatal pore area index (SPI) facilitated higher transpiration capacity of the plants from HD. Meanwhile, shorter leaves and thinner lower epidermis of the plants from HD were more efficient in heat transfer, although relationships were much weaker than the synergic effect of all the morphologic traits. 4. Our results confirmed that transpiration and leaf morphology provided double insurance for avoiding overheating, particularly for plant from HD. We emphasize that transpiration is a more effective way to cool leaves than morphology when water is sufficient, which may be an important adaptation for plant from HD where rainfall is sporadic. Our results provide further insight into the relationship between morphology and transpiration for the regulation of leaf temperature, and the co-evolution of gas exchange and thermal regulation of leaves.
Additional data for Insights for the Partitioning of Ecosystem Evaporation and Transpiration in Short-Statured Croplands
<p>Data includes LAI and SPA-Crop model outputs for the 2018-2019 winter wheat and for the 2019-2020 winter barley crop seasons.<br> Eddy covariance and meteorological data from Oensingen (CH-Oe2) are available at http://www.europe-fluxdata.eu/home/site-details?id=CH-Oe2</p>
Short-term effect of thinning on red maple transpiration in a temperate mixed forest
<p>Under climate change, forests are expected to experience drier conditions that may increase tree mortality. Silvicultural treatments, such as thinning, have been proposed to reduce moisture competition and to improve forest resistance to drought events. Most studies have investigated the effectiveness of thinning under semi-arid conditions, while little information is available regarding temperate forest responses, together with the residual basal area (BA) that is required to reap the benefits of these treatments. This research aims to understand how the residual BA influences transpiration in mixed temperate forest stands that are dominated by red maple (<em>Acer rubrum</em>) in southeastern Canada. We monitored the sap flux density (Fd) with thermal dissipation-type sensors for 18 red maples spread across nine experimental plots that were thinned to obtain a gradient of residual BA (20, 12.5, 6 m<sup>2</sup> ha<sup>-1</sup>). The study was conducted during the first growing season following treatment. Low residual BA plots (6 m<sup>2</sup> ha<sup>-1</sup>) incurred drier atmospheric conditions as shown by a greater vapor pressure deficit (VPD) compared to high residual BA plots (20 m<sup>2</sup> ha<sup>-1</sup>). At the tree scale, Fd increased with residual BA, with the most pronounced differences under dry atmospheric conditions: when daily VPD exceeded 1.1 kPa, mean Fd in high residual BA plots was respectively 20% and 75% greater than in medium (12.5 m<sup>2</sup> ha<sup>-1</sup>) and low residual BA plots. At the stand level, we simulated total transpiration considering the stand as only made of red maples. The transpiration in medium and low residual BA plots amounted to 41% and 79% of transpiration simulated in the high residual BA plot. Overall, this work highlighted broad variation in response to residual BA treatments, emphasizing the need to better model forest water budgets, and partitioning overstory and understory evapotranspiration to make more adequate residual BA prescriptions in temperate forests.</p>
Tree transpiration rates near forest edges
<b>Description: </b><p>Sapflow and microclimate measurements across a gradient of distance to forest edge</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/80"><b>Tree transpiration rates near forest edges</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=104">here</a></p><p><b>Files: </b>This consists of 1 file: template_HardwickTranspiration.xlsx</p><p><b>template_HardwickTranspiration.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Tree transpiration measurements</b> (described in worksheet SapFlow)</p><p>Description: Tree transpiration measurements</p><p>Number of fields: 4</p><p>Number of data rows: 144232</p><p>Fields: </p><ul><li><b>Tree</b>: Identifier for the tree being measured; maps onto 'Tree' field in 'TreesGuide' worksheet (Field type: Location)</li><li><b>datetime</b>: Time and date of measurement (Field type: Datetime)</li><li><b>TDP_mv_Avg(1)</b>: The half-hour mean voltage across the thermal dissipation probe (Field type: Numeric)</li><li><b>SapFlow</b>: Sap Flow – kg per hour per metre squared (Field type: Numeric)</li></ul></li><li><p><b>Tree information</b> (described in worksheet TreesGuide)</p><p>Description: Size and distance to nearest forest edge of trees monitored for transpiration rates</p><p>Number of fields: 3</p><p>Number of data rows: 8</p><p>Fields: </p><ul><li><b>Tree</b>: Identifier for the individual trees (Field type: Location)</li><li><b>DBH</b>: DBH of the tree (Field type: Numeric)</li><li><b>Distance to Edge</b>: Distance of site from nearest edge (Field type: Numeric)</li></ul></li></ol><p><b>Date range: </b>2013-05-17 to 2014-12-10</p><p><b>Latitudinal extent: </b>4.6837 to 4.6863</p><p><b>Longitudinal extent: </b>117.5859 to 117.5862</p>
Estimating transpiration globally by integrating the Priestley-Taylor model with neural networks
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Enhanced isohydric behavior decoupled the whole-tree sap flux response to leaf transpiration under nitrogen addition in a subtropical forest
<p><span>Anthropogenic nitrogen deposition has the potential to change the leaf water-use strategy in the subtropical region of China. Nevertheless, the whole-tree level response crucial for ecosystem functions has not been well addressed over the past decades. In this study, the stem sap flux density (J<sub>S</sub>) was monitored for the whole-tree water transport capacity in two dominant species (<em>Schima</em> <em>superba</em> and <em>Castanopsis</em> <em>chinensis</em>) in a subtropical forest. To simulate the increased nitrogen deposition, the NH<sub>4</sub>NO<sub>3</sub> solutions were sprayed onto the forest canopy at 25 kg </span><span>ha<sup>-1</sup> year<sup>-1</sup></span><span> (CAN25) and 50 kg ha<sup>-1</sup> year<sup>-1</sup> (CAN50), respectively, since April 2013. The </span><span>J<sub>S</sub></span><span> and microclimate (monitored since January 2014) derived from the whole-tree level </span><span>stomatal conductance </span><span>(G<sub>S</sub>) were used to quantify the stomatal behavior </span><span>(G<sub>S</sub> sensitive to</span><span> vapor pressure deficit</span><span>, G<sub>S-VPD</sub>)</span><span> in response to the added nitrogen. </span><span>The maximum shoot hydraulic conductance (Kshoot-max) was also measured for both species. After one year of monitoring</span><span> in January 2015, the </span><span>mid-day (J<sub>S-mid</sub>) and daily mean (J<sub>S-mean</sub>) sap flux rates did not change under all the nitrogen addition treatments (p > 0.05). A consistent</span><span> decline in the </span><span>G<sub>S-VPD</sub></span><span> indicated an enhanced isohydric behavior for both species. In addition, the G<sub>S-VPD</sub></span><span> in the wet season was much lower than that in the dry season. </span><span><em>S</em>. <em>superba</em> </span><span>had a lower </span><span>G<sub>S-VPD</sub></span><span> and decreased J<sub>S-mid</sub>/J<sub>S-mean</sub>, implying a stronger stomatal control under the fertilization, which might be attributed to the low efficient diffuse-porous conduits and a higher JS. In addition, the G<sub>S</sub> for </span><span><em>S</em>. <em>superba</em></span><span> decreased and the </span><span>G<sub>S-VPD</sub></span><span> increased more under CAN50 than that under CAN25, indicating that the high nitrogen dose restrains the extra nitrogen benefits. Our results indicate</span><span>d</span><span> that the J<sub>S</sub> for both species was decoupled from the leaf transpiration for both species due to an enhanced isohydric behavior, and a xylem anatomy difference and fertilization dose would affect the extent of this decoupling relation.</span></p>
Data from: Stronger cooling effects of transpiration and morphology of the plants from a hot dry habitat than from a hot wet habitat
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Enhanced isohydric behavior decoupled the whole-tree sap flux response to leaf transpiration under nitrogen addition in a subtropical forest
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Transpiration from subarctic deciduous woodlands: environmental controls and contribution to ecosystem evapotranspiration
<p><strong>Data from the paper: </strong></p> <p>Sabater, AM, Ward, HC, Hill, TC, et al. Transpiration from subarctic deciduous woodlands: Environmental controls and contribution to ecosystem evapotranspiration. <em>Ecohydrology</em>. 2020; 13:e2190. <span><span><span><u><span><span>https://doi.org/10.1002/eco.2190</span></span></u></span></span></span></p> <p><br><br></p>
Ecosystem Transpiration from FLUXNET
<p>Estimates of transpiration for eddy covariance sites associated with <a href="https://fluxnet.org">FLUXNET</a>. A tutorial explaining how this data was produced can be found in <a href="https://github.com/jnelson18/ecosystem-transpiration">the associated repository</a>. Questions and comments can be directed to the author: jnelson@bgc-jena.mpg.de</p>
TRANSPIRE: Lung Injury in a Longitudinal Cohort of Pediatric HSCT Patients
ClinicalTrials.gov study NCT04098445. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Contribution of lianas to community-level canopy transpiration in a warm-temperate forest
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