Sap Flow Analyzer: A tool to standardize sap flow estimation and scaling to whole-tree water use using the HFD method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F24%3A43925496" target="_blank" >RIV/62156489:43410/24:43925496 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1111/2041-210X.14392" target="_blank" >https://doi.org/10.1111/2041-210X.14392</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/2041-210X.14392" target="_blank" >10.1111/2041-210X.14392</a>
Alternative languages
Result language
angličtina
Original language name
Sap Flow Analyzer: A tool to standardize sap flow estimation and scaling to whole-tree water use using the HFD method
Original language description
Sap flow measurements are fundamental to understanding water use in trees and could aid in predicting climate change effects on forest function. Deriving knowledge from such measurements requires empirical calibrations and upscaling methods to translate thermometric recordings to tree water use. Here, we developed a user-friendly open-source application, the Sap Flow Analyzer (SFA), which estimates sap flow rates and tree water use from the heat field deformation (HFD) instruments. The SFA incorporates four key features to ensure maximum accuracy and reproducibility of sap flow estimates: diagnosis diagrams to assess data patterns visually, regression models implemented to increase accuracy when estimating K (the main HFD parameter), three approaches to upscale sap flow rates to whole-tree water use and visualization of the input parameters' uncertainty. Thirteen participants were given three raw datasets and assigned data processing tasks using the SFA user guide, from estimating sapwood depth to scaling sap flow rates to whole-tree water use to assess the reproducibility and applicability of the SFA. Participants' results were reasonably consistent and independent of their background in using the SFA, R, or HFD method. The results showed lower variability for high flow rates (SD: mean 1% vs. 10%). K estimates and sapwood depth differentiation were the primary sources of variability, which in turn was mainly caused by the user's chosen scaling method. The SFA provides an easy way to visualize and process sap flow and tree water use data from HFD measurements. It is the first free and open software tool for HFD users. The ability to trace analysis steps ensures reproducibility, increasing transparency and consistency in data processing. Developing tools such as the SFA and masked trials are essential for more precise workflows and improved quality and comparability of HFD sap flow datasets.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Methods in Ecology and Evolution
ISSN
2041-210X
e-ISSN
2041-2096
Volume of the periodical
15
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
1532-1539
UT code for WoS article
001285107600001
EID of the result in the Scopus database
2-s2.0-85200487611