Hydraulic conductivity‐induced systematic parameter variation in a widely used thermal dissipation sap‐flow technique

The Granier-type thermal-dissipation method (TDM) is the most widely used sap-flow technique. However, its original calibration coefficients often underestimate high flow rates, limiting their generality. We derived TDM coefficients (scaling factors and exponents) for 31 species, including 18 diffuse-porous, two ring-porous, six palms, and five lianas, representing a broad range of wood properties. Factors influencing the coefficients and their accuracy were also investigated. Furthermore, we compiled 119 published coefficients for 88 additional species covering seven major xylem types. Most recalibrated and published coefficient values were substantially different from the original values, particularly in ring-porous and liana species with high hydraulic conductivity. The coefficient values depend on the statistical models and the applied maximum pressure during the calibration process. Vessel-lumen area fraction and hydraulic conductivity explained the interspecific variation in two coefficients at both segment and species levels. We applied recalibrated and original coefficients to a rubber plantation and found that the original coefficients produced unreasonably low transpiration estimates, while recalibrated coefficients yielded reasonable values. Uncertainties in scaling processes, including sapwood-area and radial and azimuth effects, also contributed significantly to the overall estimates. Our study demonstrates that accurate transpiration estimation must also address scaling-related sources of variation, as they contribute equally to uncertainty as poor calibration.

Authors

Institutions

Publication Details

Journal
New Phytologist
Published
2025-08-25
DOI
https://doi.org/10.1111/nph.70488
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydraulic conductivity‐induced systematic parameter variation in a widely used thermal dissipation sap‐flow technique

Masatoshi Katabuchi, Pantana Tor‐ngern, Phisamai Maenpuen, Ram Oren et al.
New Phytologist
Plant Water Relations and Carbon Dynamics
article

Hydraulic conductivity‐induced systematic parameter variation in a widely used thermal dissipation sap‐flow technique

Masatoshi Katabuchi, Pantana Tor‐ngern, Phisamai Maenpuen, Ram Oren, Shubin Zhang, Yunxue Xiao, Sari Palmroth, Meng Liu, Yajun Chen
article en

Abstract

The Granier-type thermal-dissipation method (TDM) is the most widely used sap-flow technique. However, its original calibration coefficients often underestimate high flow rates, limiting their generality. We derived TDM coefficients (scaling factors and exponents) for 31 species, including 18 diffuse-porous, two ring-porous, six palms, and five lianas, representing a broad range of wood properties. Factors influencing the coefficients and their accuracy were also investigated. Furthermore, we compiled 119 published coefficients for 88 additional species covering seven major xylem types. Most recalibrated and published coefficient values were substantially different from the original values, particularly in ring-porous and liana species with high hydraulic conductivity. The coefficient values depend on the statistical models and the applied maximum pressure during the calibration process. Vessel-lumen area fraction and hydraulic conductivity explained the interspecific variation in two coefficients at both segment and species levels. We applied recalibrated and original coefficients to a rubber plantation and found that the original coefficients produced unreasonably low transpiration estimates, while recalibrated coefficients yielded reasonable values. Uncertainties in scaling processes, including sapwood-area and radial and azimuth effects, also contributed significantly to the overall estimates. Our study demonstrates that accurate transpiration estimation must also address scaling-related sources of variation, as they contribute equally to uncertainty as poor calibration.

New PhytologistVol. 248(2)
University of Helsinki (FI), Chulalongkorn University (TH), Duke University (US), Xishuangbanna Tropical Botanical Garden (CN), Ministry of Agriculture and Forestry (FI), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 79%
Plant Water Relations and Carbon Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.