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21 results for “ecohydrology”
WEE01 Impacts of riparian and non-riparian woody encroachment on tallgrass prairie ecohydrology
Plant xylem water samples were collected from Cornus drummondii (rough-leaf dogwood), Andropogon gerardii (big bluestem), Quercus macrocarpa (bur oak), and Quercus muehlenbergii (chinquapin oak) during the summer of 2016. Soil cores were also collected during the summer of 2016 to collect soil water from the surface to 200 cm depth. Isotope values (δ18O and δ2H) were analyzed for each water sample to determine depth of plant water uptake.
Exploring the critical zone heterogeneity and the hydrological diversity using an integrated ecohydrological model in three contrasted long-term observatories
<p>These files provide useful data and supplementary material associated with the publication 'Exploring the critical zone heterogeneity and the hydrological diversity using an integrated ecohydrological model in three contrasted long-term observatories' (MNT information, atmospheric forcings, R scripts used to process and draw the graphs from the EcH2O-iso simulations, and observed water discharges).</p>
Datasets for Ecohydrological Model for Grassland Lacking Historical Measurements
<p>We proposed the distributed dynamic process model (DDPM) and here are the example datasets of our model.</p> <p>Datasets I : Eva_module_datasets.zip: Here are the datasets for running the DDPM Eva module.</p> <p>Datasets II: RP&FLC_module_datasets.zip: Here are the datasets for running the DDPM RP & FLC module.</p> <p> </p> <p>Also, you can find our model at https://github/myli1993/DDPM_ver1.0.</p> <p>You can watch my report on MODSIM 2021 at https://www.bilibili.com/video/BV1vR4y1s7vc.</p> <p>-----------------------------------------------------------------------------------------</p> <p>When using this dataset, please cite:</p> <p>[1] <strong>Li, MY.</strong>; Liu, TX.; Duan, LM.; et al. Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements. <em><strong>Journal of Hydrology</strong></em>, 2023, Volume 627, 130425. <a href="https://doi.org/10.1016/j.jhydrol.2023.130425">https://doi.org/10.1016/j.jhydrol.2023.130425</a></p> <p>[2] <strong>Li, MY.</strong>; Liu, TX.; Duan, LM.; et al. A novel evapotranspiration downscaling approach based on dynamic sensitive parameters and deep learning in the grassland lacking historical measurements. <em><strong>Ecological Indicators</strong></em>, 2025, Volume 178, 113839. https://doi.org/10.1016/j.ecolind.2025.113839</p> <p>-----------------------------------------------------------------------------------------</p> <p>What's new:</p> <p>Version 1.01:</p> <p>Here, we added the datasets for Eva module, and renamed the datasets for RP & FLC module. If you have downloaded the datasets in Version 1.0, you don't have to download the RP&FLC_module_datasets.zip for another time.</p> <p> </p>
Ecohydrology of interannual changes in watershed storage
<p>Supplemental file Table S1 accompanying article DOI:10.1029/2019WR025164 published in Water Resources Research. Fields include mean absolute deviation in watershed storage (mean_ds) and other hydrologic fluxes for 2002-2011 period for each US Geological Survey station listed in first column. Header contains specific information about variables and units. Access the main article at <a href="https://doi.org/10.1029/2019WR025164">https://doi.org/10.1029/2019WR025164</a>.</p>
Ecohydrology and Ecophysiology intensively measured plots in Watershed 1, Andrews Experimental Forest, 2005-2011
This database was developed to store data for ecophysiology and ecohydrology studies in Watershed 01 (WS01) at the H.J. Andrews Experimental Forest. The data include a combination of continuous sensor measurements (e.g. for soil moisture, soil temperature, air temperature, and relative humidity data) and repeated sampling (e.g., litterfall, dissolved organic carbon (DOC), rock content of soils). WS01 was clear cut between 1962 and 1966, burned, and replanted to varying degrees of success with Pseudotsuga menziesii, and a set of long-term plots that lie on transects normal to the main stream system was installed in 1962 to monitor plant succession and biomass development (TP073). The plots for these ecohydrological studies were co-located with a subset of TP073 plots to facilitate cross-referencing and cross-analysis of information. The boundaries of the TW006 plots are all at least 5 meters outside of the boundaries of the plant succession and biomass plots so as not to interfere with the long term integrity of those plots. An initial set of eight plots were installed for TW006 in 2004. All of these plots were located near transect #1 of the TP073 plots; i.e. the transect closest to the mouth of the watershed (see http://oregonstate.edu/feel/mapsVideos/transect_diagram.jpg, http://oregonstate.edu/feel/mapsVideos/airshed_base.pdf, and for a “virtual tour” of the watershed that illustrates the plot locations see http://oregonstate.edu/feel/mapsVideos/WS01_3d_spinningWheel2.AVI.MOV). Each of the eight plots (also known as “telemetry plots”) is associated with a bank of solar collectors and batteries that provide power for a network of sensors, and data is transmitted by telemetry via a relay station to the Andrews Headquarters. An additional set of 16 plots was established in 2009 to extend data collection through a broader area of the watershed and to represent the full range of vegetation cover classes. The locations of these was based on a stratified random sampling
Ecohydrological monitoring of urban ecological infrastructure at the Arizona State University Tempe Campus (Tempe, Arizona)
Urban Ecological Infrastructure (UEI) are urban ecological structures whose ecological functions are increasingly being used to deliver key urban services and address urban sustainability challenges. The growing use of UEI to address urban sustainability challenges can bring together teams of urban researchers and practitioners to co-produce UEI design, monitoring and maintenance. However, this co-production process received little attention in the literature, and has not been studied in the Phoenix Metro Area. This study examined several components of a co-produced design process and related project outcomes associated with a small-scale UEI project – bioretention basins installed at the Arizona State University (ASU) Orange Mall and Student Pavilion in Tempe, AZ. We explored the design process associated with the collaborative development of an ecohydrological monitoring protocol for assessment of post-construction performance of this UEI system. This co-production process involved both CAP LTER researchers and practitioners, designers, and managers at ASU and associated third-party consultants involved in site design and management. Together, these researchers and practitioners co-produced a suite of ecohydrological metrics to monitor the performance of the bioretention basins at Orange Mall. Specifically, this protocol evaluated the performance of the UEI system with regards to two of it’s key design goals: storm water capture and storm water quality improvement. The ecohydrological data produced by the implementation of this monitoring protocol are presented here. Monitoring equipment were installed throughout the site in June and July 2018. Site monitoring and data collection began in August 2018, and continued through Feb 2019.
Photochemical Reflectance Index (PRI) captures the ecohydrological sensitivity of a semi-arid mixed conifer forest
The Photochemical Reflectance Index (PRI) corresponds to the de-epoxidation state of the xanthophyll cycle and is one of the few pigment-based vegetation indices sensitive to rapid plant physiological responses. As such, new remotely-sensed PRI products present opportunities to study diurnal and seasonal processes in evergreen conifer forests, where complex vegetation dynamics are not well reflected by the small annual changes in chlorophyll content or leaf structure. Because PRI is tied explicitly to short and long term changes in xanthophyll pigments which are responsible for regulatig stress, this study characterized PRI in a semi-arid, sub-alpine mixed conifer forest, in order to assess its potential as a proxy for water stress by extension of its association with photoprotection. To determine the sensitivity of PRI to seasonal changes in ecohydrological variability and gross primary productivity, canopy spectral measurements were combined with eddy covariance flux and sap flow methods. Seasonally, there was a significant relationship between PRI and sap flow velocity (R2=0.56), and multiple linear regression analysis demonstrated the PRI response to dynamic water and energy limitations in this system. Although PRI was an effective indicator of stomatal response to ecohydrological constraints on a seasonal time scale, top-of-canopy leaf-level gas exchange, chlorophyll fluorescence, and hyperspectral reflectance measurements suggest that diurnal PRI saturates under conditions of severe light stress. This research indicates that remotely-sensed PRI has potential to fill spatial and temporal gaps in the ability to distinguish how water availability influences carbon dynamics of forested ecosystems.
Ecohydrological simulation using GEOSPACE-1D model
<p>This folder contains the setup and outputs for two simulations designed to demonstrate the capabilities and functionality of the GEOSPACE-1D model:</p> <ol> <li><strong>Baseline Simulation (BSL):</strong> Showcases the potential applications of the coupled GEOSPACE-1D system and verifies its correct functioning.</li> <li><strong>Infiltration-Only Simulation (INF):</strong> Replicates the baseline setup but excludes the evapotranspiration process, focusing solely on the infiltration dynamics within the soil column.</li> </ol> <p>The code in this repository is distributed under the GPLv3 License, as specified in the included <code>LICENSE.txt</code> file, ensuring clarity on usage and redistribution rights in line with open-source principles.</p> <p> </p> <p>This folder also includes a concise <strong>presentation </strong><code>(The_Sim_File.pdf)</code> that illustrates the structure and interpretation of a <code>.sim</code> file, providing a clear overview of how simulation parameters are defined and utilized within the GEOSPACE-1D framework. The recorded video of this presentation is avilable at https://vimeo.com/showcase/11593737/video/1087641833. </p>
Divergent climate change effects on widespread dryland plant communities driven by climatic and ecohydrological gradients
<p><span>Plant community response to climate change will be influenced by individual plant responses that emerge from competition for limiting resources that fluctuate through time and vary across space. Projecting these responses requires an approach that integrates </span><span>environmental conditions and species interactions that result from future climatic variability. Dryland plant communities are being substantially affected by climate change because their structure and function are closely tied to precipitation and temperature, yet impacts vary substantially due to environmental heterogeneity, especially in topographically complex regions. Here, we quantified the effects of climate change on big sagebrush (<em>Artemisia tridentata </em>Nutt.) plant communities that span </span><span>76 million ha </span><span>in the western United States. We used an individual-based plant simulation model that represents intra- and inter-specific competition for water availability, which is represented by a process-based soil water balance model. For dominant plant functional types, we quantified changes in biomass and characterized agreement among 52 future climate scenarios. We then used a multivariate matching algorithm to generate fine-scale interpolated surfaces of functional type biomass for our study area. </span>Results suggest geographically divergent responses of big sagebrush to climate change (changes in biomass of -20% to +27%), declines in perennial C<sub>3</sub> grass and perennial forb biomass in most sites, and widespread, consistent, and sometimes large increases in perennial C<sub>4</sub> grasses. The largest declines in big sagebrush, perennial C<sub>3</sub> grass and perennial forb biomass were simulated in warm, dry sites. In contrast, we simulated no change or increases in functional type biomass in cold, moist sites. There was high agreement among climate scenarios on climate change impacts to functional type biomass, except for big sagebrush. Collectively, these results suggest divergent responses to warming in moisture-limited vs. temperature-limited sites and potential shifts in the relative importance of some of the dominant functional types that result from competition for limiting resources.</p>
Upscaling tracer-aided ecohydrological EcH2O-iso model in larger catchments: model setup and model simulations in the Selke catchment, central Germany
<p>This data repository is associated with the scientific article "Upscaling Tracer-aided Ecohydrological Modeling to Larger Catchments: Implications for Process Representation and Heterogeneity in Landscape Organization" by Yang et al. (submitted to Water Resources Research).</p> <p>This dataset includes the model setup information of the EcH2O-iso model in the Selke catchment, central Germany (./model_setup_Selke), and all model simulations and data analyses that are necessary to rebuilt the work (./model_sim_data).</p> <p>Please also refer to https://github.com/XYang-EcoHydroWQ/EcH2O-iso_largescale for corresponding model source code of the EcH2O-iso model, including modifications for larger-scale modeling.</p>
Divergent climate change effects on widespread dryland plant communities driven by climatic and ecohydrological gradients
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Photochemical Reflectance Index (PRI) captures the ecohydrological sensitivity of a semi-arid mixed conifer forest
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Global Dataset of Ecohydrological Parameters Inferred from Satellite Observations
<p>This dataset contains global maps of</p> <p>(1) ecohydrological parameters for a theoretical model of the probability distribution of soil saturation;<br> (2) convergence, uncertainty and goodness-of-fit diagnostics; and<br> (3) soil water stress and uptake indexes,</p> <p>associated with analysis in: Bassiouni, M., S.P. Good, C.J. Still, and C.W. Higgins (2020), Plant water uptake thresholds inferred from satellite soil moisture. Geophysical Research Letters. <a href="https://doi.org/10.1029/2020GL087077">https://doi.org/10.1029/2020GL087077 </a></p> <p>All variable descriptions and units are included in the .nc metadata.</p> <p>Code associated with this dataset are publicly available:<br> Probabilistic Inference of Ecohydrological Parameters (PIEP): <a href="http://doi.org/10.5281/zenodo.1257718">http://doi.org/10.5281/zenodo.1257718</a>.<br> Data Management for Global PIEP: <a href="http://doi.org/10.5281/zenodo.3235820">http://doi.org/10.5281/zenodo.3235820</a></p> <p><strong>Abstract</strong><br> Empirical functions are widely used in hydrological, agricultural, and earth system models to parameterize plant water uptake. We infer soil water potentials at which uptake is downregulated from its maximum rate and at which uptake is zero, in biomes with < 60% woody vegetation at 36-km grid resolution. We estimate thresholds through Bayesian inference using a stochastic water balance framework to construct theoretical soil moisture probability distributions consistent with satellite surface soil moisture. The global median Nash–Sutcliffe efficiency between empirical soil moisture distributions derived from satellite soil moisture observations and best-fit theoretical distributions using inferred parameters is 0.8. Spatially variable thresholds capture location-specific vegetation and climate characteristics and can be connected to biome-level water uptake strategies.</p>
Data from: Does water shortage generate water stress? An ecohydrological approach across Mediterranean plant communities
The interactions between hydrological and ecological processes are key issues to improve our predictions of ecosystem responses to increasing droughts. However, predicting the dynamics and the impacts of vegetation water stress remains challenging because of complex ecohydrological feedbacks. The ecohydrological optimality approach proposes that functional adjustments within plant communities may buffer the increase in vegetation water stress despite local water shortage. This study aimed to test whether vegetation water stress may be invariant across contrasting plant communities, reflecting possible optimality processes. We addressed the following question: does a lower soil water storage capacity under the same climate generate greater vegetation water stress over time? We hypothesized that vegetation water stress would be buffered around a low and constant level through the adjustment of vegetation biomass productivity net primary productivity (NPP), evapotranspiration (ET) and/or water-use efficiency (WUE) in relation with local soil water storage capacity. We monitored 12 native plant communities distributed along a gradient of soil water storage capacity (ranging from 20 mm to 120 mm) during five successive years. Net primary productivity, ET, WUE as well as soil water dynamics were assessed and modelled for each plant community throughout the 5 years of study. Vegetation water stress was determined for each plant community as the deviation of between actual ET and their maximum ETm rate achieved under non-limiting conditions. We found that NPP and ET were together proportionally related to local soil water storage capacity across the 5 years of study while WUE did not differ between plant communities. Vegetation water stress was found quite similar for all plant communities whatever the soil water storage capacity. These results suggested that vegetation water stress was strongly buffered by the community-level plant growth rates and total water use along the soil gradient, but not by WUE. Our results suggest that stressful environments rarely exist for plant communities. A dynamic scaling relationship between NPP and ET may underpin the control of vegetation water stress over seasonal and pluriannual time-scales. Such results could contribute to better understanding processes associated with ecohydrological optimality and improve the predictions of vegetation dynamics under increasing droughts.
Ecohydrological response of a tropical peatland to rainfall changes driven by intertropical convergence zone variability
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Data from: Does water shortage generate water stress? An ecohydrological approach across Mediterranean plant communities
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Ecohydrology of urban trees under passive and active irrigation in a semiarid city
<p>The infiltration of stormwater runoff for use by urban trees is a major co-benefit of green infrastructure for desert cities with limited water resources. However, the effects of this passive irrigation versus regular, controlled moisture inputs, or active irrigation, is largely unquantified. We monitored the ecohydrology of urban mesquite trees (<i>Prosopis spp.</i>) under these contrasting irrigation regimes in semiarid Tucson, AZ. Measurements included soil moisture, sap velocity, canopy greenness, and leaf-area index. We expected both irrigation types to provide additional deep (>20 cm) soil moisture compared to natural conditions, and that trees would depend on this deep moisture for transpiration and phenological activity. Results show that active irrigation supported higher soil moisture throughout the study than passive irrigation. Passive irrigation only provided additional deep moisture when green infrastructure features received impervious runoff from a city street. Sap velocity and greenness were similar under both irrigation types, outside of isolated periods of time. These differences occurred during the extremely wet summer 2017 when passively irrigated trees exhibited a greenness peak, and the dry conditions of spring when actively irrigated trees had higher sap flow and relative greenness. Finally, it was not determined that deep soil moisture had a stronger relationship with mesquite productivity than shallow moisture, but both relationships were stronger in the spring, before summer rains. This study aims to contribute empirical observations of green infrastructure performance for urban watershed management.</p>
Data from: Microform-scale variations in peatland permeability and their ecohydrological implications
1. The acrotelm-catotelm model of peatland hydrological and biogeochemical processes posits that the permeability of raised bogs is largely homogenous laterally but varies strongly with depth through the soil profile; uppermost peat layers are highly permeable while deeper layers are, effectively, impermeable. 2. We measured down-core changes in peat permeability, plant macrofossil assemblages, dry bulk density and degree of humification beneath two types of characteristic peatland microform – ridges and hollows – at a raised bog in Wales. Six 14C dates were also collected for one hollow and an adjacent ridge. 3. Contrary to the acrotelm-catotelm model, we found that deeper peat can be as highly permeable as near-surface peat and that its permeability can vary by more than an order of magnitude between microforms over horizontal distances of 1-5 metres. 4. Our palaeo-ecological data paint a complicated picture of microform persistence. Some microforms can remain in the same position on a bog for millennia, growing vertically upwards as the bog grows. However, adjacent areas on the bog (< 10 m distant) show switches between microform type over time, indicating a lack of persistence. 5. Synthesis. We suggest that the acrotelm-catotelm model should be used cautiously; spatial variations in peatland permeability do not fit the simple patterns suggested by the model. To understand how peatlands as a whole function both hydrologically and ecologically it is necessary to understand how patterns of peat physical properties and peatland vegetation develop and persist.
Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site
<p>The data have been used in a published article in the Journal of Geophysical Research: Biogeosciences, titled "Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site". Please check out the published article for more information about the data.<br> <br> Javadian, M., Smith, W. K., Lee, K., Knowles, J. F., Scott, R. L., Fisher, J. B., et al. (2022). Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site. <em>Journal of Geophysical Research: Biogeosciences</em>, 127, e2021JG006617. <a href="https://doi.org/10.1029/2021JG006617">https://doi.org/10.1029/2021JG006617</a><br> <br> There are 5 folders in the main folder as follows:<br> <br> 1."EC_Tower" : The flux tower data over US-MtB eddy covariance site from Jan 2020 to May 2021.<br> 2. "FLIR_Thermometer": The vertical temperature profiles on Nov, 14, 2020.<br> 3."PRI": The photochemical reflectance index (PRI) from Jan 2020 to Feb 2021.<br> 4. "Tree_Sap_Flow": Tree sap flow data from Jan 2020 to May 2021.<br> 5. "UAS": Unmanned Aircraft Systems (UAS) images</p>
Ecohydrology of urban trees under passive and active irrigation in a semiarid city
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.