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Quantification of uncertainties in conifer sap flow measured with the thermal dissipation method

Peters, Richard L. and Fonti, Patrick and Frank, David C. and Poyatos, Rafael and Pappas, Christoforos and Kahmen, Ansgar and Carraro, Vinicio and Prendin, Angela Luisa and Schneider, Loïc and Baltzer, Jennifer L. and Baron-Gafford, Greg A. and Dietrich, Lars and Heinrich, Ingo and Minor, Rebecca L. and Sonnentag, Oliver and Matheny, Ashley M. and Wightman, Maxwell G. and Steppe, Kathy. (2018) Quantification of uncertainties in conifer sap flow measured with the thermal dissipation method. The New phytologist. p. 17.

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Official URL: https://edoc.unibas.ch/64633/

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Abstract

Trees play a key role in the global hydrological cycle and measurements performed with the thermal dissipation method (TDM) have been crucial in providing whole-tree water-use estimates. Yet, different data processing to calculate whole-tree water use encapsulates uncertainties that have not been systematically assessed. We quantified uncertainties in conifer sap flux density (F; d; ) and stand water use caused by commonly applied methods for deriving zero-flow conditions, dampening and sensor calibration. Their contribution has been assessed using a stem segment calibration experiment and 4 yr of TDM measurements in Picea abies and Larix decidua growing in contrasting environments. Uncertainties were then projected on TDM data from different conifers across the northern hemisphere. Commonly applied methods mostly underestimated absolute F; d; . Lacking a site- and species-specific calibrations reduced our stand water-use measurements by 37% and induced uncertainty in northern hemisphere F; d; . Additionally, although the interdaily variability was maintained, disregarding dampening and/or applying zero-flow conditions that ignored night-time water use reduced the correlation between environment and F; d; . The presented ensemble of calibration curves and proposed dampening correction, together with the systematic quantification of data-processing uncertainties, provide crucial steps in improving whole-tree water-use estimates across spatial and temporal scales.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Integrative Biologie > Physiological Plant Ecology (Kahmen)
UniBasel Contributors:Kahmen, Ansgar and Peters, Richard Louis
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1469-8137
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:27 Apr 2020 10:16
Deposited On:27 Apr 2020 10:16

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