Work

fluxfixer: An R package for producing thermal dissipation sap flow data with high quality control

Year: 2026

Type: software-paper

Abstract: The thermal dissipation method is crucial for estimating tree transpiration, a major component of terrestrial water cycling. However, this method requires careful quality control (QC), and no post-processing software exists for automatic QC that can apply to raw time series with various artifacts. Hence, we developed a novel R package to conduct sophisticated QC combined with statistical methods and machine learning. We further provided selective methods for calibrating the zero-flow conditions. We demonstrate the package’s effectiveness by post-processing raw data observed in a Bornean tropical rainforest. This package will help establish a standardized protocol for processing low-quality sap flow data.

Source: SoftwareX

DOI: 10.1016/j.softx.2026.102740

Authors: Yoshiaki Hata, Tomo’omi Kumagai

Institutions: The University of Tokyo, University of Hawaiʻi at Mānoa

Language: English

Topic: Plant Water Relations and Carbon Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funders: Ministry of Education, Culture, Sports, Science and Technology, Kyushu University