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11 results for “stemflow”
tree architectural traits in adult trees subjected to stemflow
<p>Dataset containing key tree architectural traits from tree individuals of Maple and Ash subjected to stemflow and stemflow-supression conditions</p>
Stemflow fitting equations at OAL-UK
<p>Dataset containing fitting equations from linear regression models for predicting stemflow from gross rainfall for multiple woody plant species -i.e. sycamore, ash, goat willow and basket willow. The equations were fitted per tree species and individual. </p> <p>Stemflow is a relevant eco-hydrological mechanism related to rainfall partitioning at the tree's canopy. Stemflow consists in the funnelling of rainfall around the tree stem, concentrating water and nutrients on its way to the root zone. More information on stemflow can be found here: <a href="https://doi.org/10.1016/j.jhydrol.2019.124448">https://doi.org/10.1016/j.jhydrol.2019.124448</a> </p>
Full Tree QSMs: LIDAR Driven Stemflow Mapping
<p>Quantitative structural models (QSM) of two trees derived using terrestrial lidar scanning in the winter (leafless season) at Secrest Arboretum, Wooster OH, USA (40°46'41.9"N 81°55'06.2"W, 311 m a.s.l.). Trimmed point clouds were imported into CompuTree 5.0 (http://computree.onf.fr/) and analyzed using the SimpleForest plugin (https://gitlab.com/SimpleForest/computree) in order to produce the attached files.</p> <p>File 32-06 represents a specimen of Celtis occidentalis L. (common hackberry) and 27-05 a specimen of Ulmus americana L. (American elm). </p>
Testing Data: LIDAR Driven Stemflow Mapping
<p>Data in this upload was and continues to be used for the validation of the model discussed in the paper with the following doi: <a href="http://dx.doi.org/10.2139/ssrn.4600550" target="_blank" rel="noopener">10.2139/ssrn.4600550</a>. These files are sub sections of QSMs generated using SimpleTree and constitue use cases that 1. cover then necessary functionality of the model and 2. assist in the discovery and identification of errors when the model is changed.<br><br>The git repository at the below link leverages GitHub Actions CI/CD to run a suite of 65 tests whenever a pull request is made to the main branch. Model outputs (given these files as inputs) were hand validated and are used to ensure consistent/expected model results. These outputs are stored in the below repository under 'canopyHydrodynamics/test/expected_results'.</p> <p>Repository: https://github.com/wischmcj/canopyHydrodynamics</p>
Bulk stemflow at Coweeta Hardwoods, Watershed Two from 1985 to 1988 (Coweeta Hydrologic Laboratory)
Data was collected from six collectors. Statistical means were volume weighted.
Bulk stemflow at Coweeta White Pines, Watershed One (Coweeta Hydrologic Laboratory) from 1985 to 1988
Data was collected from six collectors. Statistical means were volume weighted.
Global quantitative synthesis of effects of biotic and abiotic factors on stemflow production in woody ecosystems
<p><span><b>Aim: </b>Stemflow has been increasingly recognized as an indispensable component in water and nutrient budgets within vegetated ecosystems. Here we aim to quantify the stemflow percentage (St, %) of incident precipitation (i.e., stemflow production) at a global scale, and to provide a systematic evaluation on how biotic and abiotic factors affect St.</span></p> <p><span><b>Location: </b>Global</span></p> <p><span><b>Time period: </b>1970 – 2019</span></p> <p><span><b>Major taxa studied: </b>Woody plants (trees and shrubs)</span></p> <p><span><b>Methods: </b>We compiled a global stemflow dataset from 234 peer-reviewed papers, which included 488 observations of St and the related biotic (stand characteristics) and abiotic factors (climate variables) at 283 sites within terrestrial woody plant ecosystems. We explored the global pattern of St and performed a machine learning method (boosted regression trees) to model the effects of biotic and abiotic variables on St.</span></p> <p><span><b>Results: </b>Globally, the median (interquartile range, IQR) St was 2.7 % (1.0 – 6.3 %). We found that St in arid zones (type B in Köppen-Geiger climate classification) was significant higher (<i>P</i> < 0.01) than in other climate types, and we also detected a significant difference (<i>P</i> < 0.01) in St between trees (median: 2.4 %; IQR: 1.0 – 5.3 %) and shrubs (median: 7.2 %; IQR: 5.2 – 11.9 %). Predictor variables that substantially accounted for the explained deviance of the final model included vegetation height (27.0 %), mean annual precipitation (16.1 %), mean annual temperature (14.4 %), stand density (10.8 %), stand age (8.9 %), and bark type (5.5 %). In contrast, leaf area index, diameter at breast height, basal area, phenology type, life form, and leaf type were classified as low importance.</span></p> <p><span><b>Main conclusions: </b>Our synthesis provides a cross-site comparison of St, and gives a holistic view on how climate variables and stand characteristics contribute to and affect global stemflow production.</span></p>
Unveiling the Role of Acrocomia aculeata Palms in Savanna Hydrology: Insights from Bark Morphology and Stemflow Dynamics
<p>In this study, we investigated stemflow in <em>Acrocomia aculeata</em> trees in an Amapá savanna, in an Amapá savanna, focusing on the influence of structural traits on stemflow volumes. Diameter at breast height, crown area and height of trees were determined. Bark hydrophobicity and texture were also investigated. During the sampling period, total precipitation was 1,744.3 mm, with stemflow accounting for 0.71% of this total. This value is lower than previously reported, highlighting the variability of stemflow across different environments and study conditions. We found significant diversity in stemflow volumes among the studied individuals, which were categorized into three classes: high (more than 0.18mm), medium (between 0.10-0.18mm) and low (less than 0.10mm). . Our analysis revealed a strong correlation between bark contact angle and stemflow volumes, indicating that surfaces with higher hydrophobicity favor greater water flow to the soil. This emphasizes the relevance of bark physical properties in regulating stemflow. Principal component analysis indicated that the combination of stemflow and bark contact angle, along with characteristics such as crown geometry and height, explains most of the variability in stemflow volumes. However, other morphological characteristics such as diameter at breast height and projected crown area showed no significant correlation with stemflow, suggesting bark morphology might play a more determining role in stemflow than initially thought. Significant structural differences in bark surfaces were observed through scanning electron microscopy and optical microscopy, indicating that bark texture, including the presence or absence of grooves and furrows, influences stemflow capacity. This study enhances our understanding of the complex interactions between palm tree morphological and dendrometric characteristics and stemflow, highlighting the importance of considering bark hydrophobicity and structural properties in forest hydrology studies. The results suggest the need to explore bark characteristics beyond its morphology to understand stemflow dynamics in savanna ecosystems.</p>
Global quantitative synthesis of effects of biotic and abiotic factors on stemflow production in woody ecosystems
Open the record for dataset details and reuse information.
soil hydro-dynamics under mature trees subjected to stemflow
<p>Time series containing information related to the soil hydro-dynamics (i.e. soil moisture, matric suction, and soil temperature) under mature trees subjected to stemflow and to stemflow suppression conditions</p>
soil-water dynamics under high-density tree plantation under stemlfow and stemflow-suppression conditions
<p>daily dataset for matric suction, soil volumetric moisture content and soil temperature under a high-density, sycamore stand in which stemflow was suppressed in half of the investigated tree individuals were</p>
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