Location: Southwest Watershed Research Center
Title: Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sitesAuthor
NELSON, J. - Max Planck Institute For Biogeochemistry | |
PEREZ-PRIEGO, O. - Macquarie University | |
ZHOU, S. - Columbia University | |
POYATOS, R. - Centre For Ecological Research And Forestry Applications (CREAF) | |
ZHANG, Y. - Columbia University | |
BLANKEN, P.D. - Colorado State University | |
GIMENO, T.E. - University Of Basque Country | |
WOHLFAHRT, G. - University Of Innsbruck | |
DESAI, A.R. - University Of Wisconsin | |
GIOLI, B. - National Research Council - Italy | |
LIMOUSIN, J. - University Of Montpellier | |
BONAL, D. - Université De Lorraine | |
PAUL-LIMOGES, E. - University Of Zurich | |
Scott, Russell - Russ | |
VARLAGIN, A. - Russian Academy Of Sciences | |
FUCHS, K. - Karlsruhe Institute Of Technology | |
MONTAGNANI, L. - Forest Service (FS) | |
WOLF, S. - Eth Zurich | |
DELPIERRE, N. - Université Paris-Saclay | |
BERVEILLER, D. - Université Paris-Saclay | |
GHARUN, M. - Eth Zurich | |
MARCHESINI, L.B. - Fondazione Edmund Mach | |
GIANELLE, D. - Fondazione Edmund Mach | |
SIGUT, L. - Czech Academy Of Sciences | |
MAMMARELLA, I. - University Of Helsinki | |
SIEBICKE, L. - University Of Gottingen | |
BLACK, T.A. - University Of British Columbia | |
KNOHL, A. - University Of Gottingen | |
HORTNAGL, L. - Eth Zurich | |
MAGLIULO, V. - National Research Council - Italy | |
CARVALHAIS, N. - Max Planck Institute For Biogeochemistry | |
MIGLIAVACCA, M. - Max Planck Institute For Biogeochemistry | |
REICHSTEIN, M. - Max Planck Institute For Biogeochemistry | |
JUNG, M. - Max Planck Institute For Biogeochemistry |
Submitted to: Global Change Biology
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 6/24/2020 Publication Date: 12/1/2020 Citation: Nelson, J., Perez-Priego, O., Zhou, S., Poyatos, R., Zhang, Y., Blanken, P., Gimeno, T., Wohlfahrt, G., Desai, A., Gioli, B., Limousin, J., Bonal, D., Paul-Limoges, E., Scott, R.L., Varlagin, A., Fuchs, K., Montagnani, L., Wolf, S., Delpierre, N., Berveiller, D., Gharun, M., Marchesini, L., Gianelle, D., Sigut, L., Mammarella, I., Siebicke, L., Black, T., Knohl, A., Hortnagl, L., Magliulo, V., Carvalhais, N., Migliavacca, M., Reichstein, M., Jung, M. 2020. Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites. Global Change Biology. 26:6916-6930. https://doi.org/10.1111/gcb.15314. DOI: https://doi.org/10.1111/gcb.15314 Interpretive Summary: Transpiration is the movement of water from plant leaves to the atmosphere by plants, and it is a key part of the hydrological cycle. Though it has been studied extensively in laboratories, plant growth chambers, and greenhouses, estimating transpiration over natural surfaces is extremely challenging. We apply and compare three new methods for estimating T using existing water and carbon flux measurements from 251 sites globally. The three different T estimates track each other well but a considerable spread in their average values is found. Overall, the global patterns of transpiration are plausible and qualitatively consistent among the different methods implying a significant advance made for estimating and understanding transpiration globally, while the magnitudes remain uncertain. These results represent the first extensive estimates of ecosystem T from EC data permitting a data driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate. Technical Abstract: 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 parameterization. Intercomparison of the three daily T estimates shows high correlation among methods (R² between 0.80 and 0.87), 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 recover expected tendencies of T/ET increasing with dryness (vapor pressure deficit and days since rain) and with leaf area index. Analysis of 140 complete site-years shows that T/ET variability was 1.6 times higher across sites than across years. Spatial variability of T/ET was primarily driven by vegetation and soil characteristics (e.g. crop or grass designation, minimum annual leaf area index, soil coarse fragment volume) rather than climatic variables. Overall, T and T/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding transpiration globally, while the magnitudes remain uncertain. Our results represent the first extensive estimates of ecosystem T from EC data permitting a data driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate. |