Authors
Jacob A Nelson, Oscar Pérez‐Priego, Sha Zhou, Rafael Poyatos, Yao Zhang, Peter D Blanken, Teresa E Gimeno, Georg Wohlfahrt, Ankur R Desai, Beniamino Gioli, Jean‐Marc Limousin, Damien Bonal, Eugénie Paul‐Limoges, Russell L Scott, Andrej Varlagin, Kathrin Fuchs, Leonardo Montagnani, Sebastian Wolf, Nicolas Delpierre, Daniel Berveiller, Mana Gharun, Luca Belelli Marchesini, Damiano Gianelle, Ladislav Šigut, Ivan Mammarella, Lukas Siebicke, T Andrew Black, Alexander Knohl, Lukas Hörtnagl, Vincenzo Magliulo, Simon Besnard, Ulrich Weber, Nuno Carvalhais, Mirco Migliavacca, Markus Reichstein, Martin Jung
Publication date
2020/12
Journal
Global change biology
Volume
26
Issue
12
Pages
6916-6930
Description
We apply and compare three widely applicable methods for estimating ecosystem transpiration (T) from eddy covariance (EC) data across 251 FLUXNET sites globally. All three methods are based on the coupled water and carbon relationship, but they differ in assumptions and parameterizations. Intercomparison of the three daily T estimates shows high correlation among methods (R between .89 and .94), but a spread in magnitudes of T/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based T estimates show higher correlation to sap flow‐based T than EC‐based ET. The partitioning methods show expected tendencies of T/ET increasing with dryness (vapor pressure deficit and days since rain) and with leaf area index (LAI). Analysis of 140 sites with high‐quality estimates for at least two continuous years shows that T/ET …
Scholar articles
JA Nelson, O Pérez‐Priego, S Zhou, R Poyatos… - Global change biology, 2020