TY - JOUR
T1 - Optimal sap flux sensor allocation for stand transpiration estimates
T2 - a non-dimensional analysis
AU - Komatsu, Hikaru
AU - Kume, Tomonori
AU - Shinohara, Yoshinori
N1 - Publisher Copyright:
© 2017, INRA and Springer-Verlag France.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - Key message: Measuring between-tree variations in sap flux density rather than azimuthal variations should be prioritized for reliable stand transpiration estimates based on sap flux methods. Context: Stand transpiration (E) estimated using sap flux methods includes uncertainty induced by azimuthal variations and between-tree variations in sap flux density (F). Aims: This study examines whether or not measuring F for two or more azimuthal directions to cover azimuthal variations in F leads to more reliable E estimates. This examination was done under the assumption that azimuthal and between-tree variations in F are not systematic and when a limited number of sensors are available. Methods: We first non-dimensionalized the theoretical framework established by a previous study and developed a general hypothesis. We then validated the hypothesis quantitatively by numerical experiments. Results: The non-dimensionalized theory allowed us to hypothesize that measuring F for one azimuthal direction would reduce uncertainty in E estimates more effectively than measuring F for two or more azimuthal directions. Results of the numerical experiments were found to support this hypothesis. Conclusion: When the aforementioned assumptions are satisfied, allocating sensors to measure F for one azimuthal direction to cover between-tree variations in F always leads to more reliable E estimates.
AB - Key message: Measuring between-tree variations in sap flux density rather than azimuthal variations should be prioritized for reliable stand transpiration estimates based on sap flux methods. Context: Stand transpiration (E) estimated using sap flux methods includes uncertainty induced by azimuthal variations and between-tree variations in sap flux density (F). Aims: This study examines whether or not measuring F for two or more azimuthal directions to cover azimuthal variations in F leads to more reliable E estimates. This examination was done under the assumption that azimuthal and between-tree variations in F are not systematic and when a limited number of sensors are available. Methods: We first non-dimensionalized the theoretical framework established by a previous study and developed a general hypothesis. We then validated the hypothesis quantitatively by numerical experiments. Results: The non-dimensionalized theory allowed us to hypothesize that measuring F for one azimuthal direction would reduce uncertainty in E estimates more effectively than measuring F for two or more azimuthal directions. Results of the numerical experiments were found to support this hypothesis. Conclusion: When the aforementioned assumptions are satisfied, allocating sensors to measure F for one azimuthal direction to cover between-tree variations in F always leads to more reliable E estimates.
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U2 - 10.1007/s13595-017-0638-x
DO - 10.1007/s13595-017-0638-x
M3 - Article
AN - SCOPUS:85018864756
SN - 1286-4560
VL - 74
JO - Annals of Forest Science
JF - Annals of Forest Science
IS - 2
M1 - 38
ER -