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Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites
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| Zeitschriftentitel: | Global Change Biology |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| In: | Global Change Biology, 26, 2020, 12, S. 6916-6930 |
| Medientyp: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Nelson, Jacob A. Pérez‐Priego, Oscar Zhou, Sha Poyatos, Rafael Zhang, Yao Blanken, Peter D. Gimeno, Teresa E. Wohlfahrt, Georg Desai, Ankur R. Gioli, Beniamino Limousin, Jean‐Marc Bonal, Damien Paul‐Limoges, Eugénie Scott, Russell L. Varlagin, Andrej Fuchs, Kathrin Montagnani, Leonardo Wolf, Sebastian Delpierre, Nicolas Berveiller, Daniel Gharun, Mana Belelli Marchesini, Luca Gianelle, Damiano Šigut, Ladislav Mammarella, Ivan Siebicke, Lukas Andrew Black, T. Knohl, Alexander Hörtnagl, Lukas Magliulo, Vincenzo Besnard, Simon Weber, Ulrich Carvalhais, Nuno Migliavacca, Mirco Reichstein, Markus Jung, Martin Nelson, Jacob A. Pérez‐Priego, Oscar Zhou, Sha Poyatos, Rafael Zhang, Yao Blanken, Peter D. Gimeno, Teresa E. Wohlfahrt, Georg Desai, Ankur R. Gioli, Beniamino Limousin, Jean‐Marc Bonal, Damien Paul‐Limoges, Eugénie Scott, Russell L. Varlagin, Andrej Fuchs, Kathrin Montagnani, Leonardo Wolf, Sebastian Delpierre, Nicolas Berveiller, Daniel Gharun, Mana Belelli Marchesini, Luca Gianelle, Damiano Šigut, Ladislav Mammarella, Ivan Siebicke, Lukas Andrew Black, T. Knohl, Alexander Hörtnagl, Lukas Magliulo, Vincenzo Besnard, Simon Weber, Ulrich Carvalhais, Nuno Migliavacca, Mirco Reichstein, Markus Jung, Martin |
|---|---|
| author |
Nelson, Jacob A. Pérez‐Priego, Oscar Zhou, Sha Poyatos, Rafael Zhang, Yao Blanken, Peter D. Gimeno, Teresa E. Wohlfahrt, Georg Desai, Ankur R. Gioli, Beniamino Limousin, Jean‐Marc Bonal, Damien Paul‐Limoges, Eugénie Scott, Russell L. Varlagin, Andrej Fuchs, Kathrin Montagnani, Leonardo Wolf, Sebastian Delpierre, Nicolas Berveiller, Daniel Gharun, Mana Belelli Marchesini, Luca Gianelle, Damiano Šigut, Ladislav Mammarella, Ivan Siebicke, Lukas Andrew Black, T. Knohl, Alexander Hörtnagl, Lukas Magliulo, Vincenzo Besnard, Simon Weber, Ulrich Carvalhais, Nuno Migliavacca, Mirco Reichstein, Markus Jung, Martin |
| spellingShingle |
Nelson, Jacob A. Pérez‐Priego, Oscar Zhou, Sha Poyatos, Rafael Zhang, Yao Blanken, Peter D. Gimeno, Teresa E. Wohlfahrt, Georg Desai, Ankur R. Gioli, Beniamino Limousin, Jean‐Marc Bonal, Damien Paul‐Limoges, Eugénie Scott, Russell L. Varlagin, Andrej Fuchs, Kathrin Montagnani, Leonardo Wolf, Sebastian Delpierre, Nicolas Berveiller, Daniel Gharun, Mana Belelli Marchesini, Luca Gianelle, Damiano Šigut, Ladislav Mammarella, Ivan Siebicke, Lukas Andrew Black, T. Knohl, Alexander Hörtnagl, Lukas Magliulo, Vincenzo Besnard, Simon Weber, Ulrich Carvalhais, Nuno Migliavacca, Mirco Reichstein, Markus Jung, Martin Global Change Biology Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites General Environmental Science Ecology Environmental Chemistry Global and Planetary Change |
| author_sort |
nelson, jacob a. |
| spelling |
Nelson, Jacob A. Pérez‐Priego, Oscar Zhou, Sha Poyatos, Rafael Zhang, Yao Blanken, Peter D. Gimeno, Teresa E. Wohlfahrt, Georg Desai, Ankur R. Gioli, Beniamino Limousin, Jean‐Marc Bonal, Damien Paul‐Limoges, Eugénie Scott, Russell L. Varlagin, Andrej Fuchs, Kathrin Montagnani, Leonardo Wolf, Sebastian Delpierre, Nicolas Berveiller, Daniel Gharun, Mana Belelli Marchesini, Luca Gianelle, Damiano Šigut, Ladislav Mammarella, Ivan Siebicke, Lukas Andrew Black, T. Knohl, Alexander Hörtnagl, Lukas Magliulo, Vincenzo Besnard, Simon Weber, Ulrich Carvalhais, Nuno Migliavacca, Mirco Reichstein, Markus Jung, Martin 1354-1013 1365-2486 Wiley General Environmental Science Ecology Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1111/gcb.15314 <jats:title>Abstract</jats:title><jats:p>We apply and compare three widely applicable methods for estimating ecosystem transpiration (<jats:italic>T</jats:italic>) 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 <jats:italic>T</jats:italic> estimates shows high correlation among methods (<jats:italic>R</jats:italic> between .89 and .94), but a spread in magnitudes of <jats:italic>T</jats:italic>/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based <jats:italic>T</jats:italic> estimates show higher correlation to sap flow‐based <jats:italic>T</jats:italic> than EC‐based ET. The partitioning methods show expected tendencies of <jats:italic>T</jats:italic>/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 <jats:italic>T</jats:italic>/ET variability was 1.6 times higher across sites than across years. Spatial variability of <jats:italic>T</jats:italic>/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, <jats:italic>T</jats:italic> and <jats:italic>T</jats:italic>/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding <jats:italic>T</jats:italic> globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data‐based estimates of ecosystem <jats:italic>T</jats:italic> permitting a data‐driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate.</jats:p> Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites Global Change Biology |
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Global Change Biology |
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49 |
| title |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_unstemmed |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_full |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_fullStr |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_full_unstemmed |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_short |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_sort |
ecosystem transpiration and evaporation: insights from three water flux partitioning methods across fluxnet sites |
| topic |
General Environmental Science Ecology Environmental Chemistry Global and Planetary Change |
| url |
http://dx.doi.org/10.1111/gcb.15314 |
| publishDate |
2020 |
| physical |
6916-6930 |
| description |
<jats:title>Abstract</jats:title><jats:p>We apply and compare three widely applicable methods for estimating ecosystem transpiration (<jats:italic>T</jats:italic>) 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 <jats:italic>T</jats:italic> estimates shows high correlation among methods (<jats:italic>R</jats:italic> between .89 and .94), but a spread in magnitudes of <jats:italic>T</jats:italic>/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based <jats:italic>T</jats:italic> estimates show higher correlation to sap flow‐based <jats:italic>T</jats:italic> than EC‐based ET. The partitioning methods show expected tendencies of <jats:italic>T</jats:italic>/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 <jats:italic>T</jats:italic>/ET variability was 1.6 times higher across sites than across years. Spatial variability of <jats:italic>T</jats:italic>/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, <jats:italic>T</jats:italic> and <jats:italic>T</jats:italic>/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding <jats:italic>T</jats:italic> globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data‐based estimates of ecosystem <jats:italic>T</jats:italic> permitting a data‐driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate.</jats:p> |
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| author | Nelson, Jacob A., Pérez‐Priego, Oscar, Zhou, Sha, Poyatos, Rafael, Zhang, Yao, Blanken, Peter D., Gimeno, Teresa E., Wohlfahrt, Georg, Desai, Ankur R., Gioli, Beniamino, Limousin, Jean‐Marc, Bonal, Damien, Paul‐Limoges, Eugénie, Scott, Russell L., Varlagin, Andrej, Fuchs, Kathrin, Montagnani, Leonardo, Wolf, Sebastian, Delpierre, Nicolas, Berveiller, Daniel, Gharun, Mana, Belelli Marchesini, Luca, Gianelle, Damiano, Šigut, Ladislav, Mammarella, Ivan, Siebicke, Lukas, Andrew Black, T., Knohl, Alexander, Hörtnagl, Lukas, Magliulo, Vincenzo, Besnard, Simon, Weber, Ulrich, Carvalhais, Nuno, Migliavacca, Mirco, Reichstein, Markus, Jung, Martin |
| author_facet | Nelson, Jacob A., Pérez‐Priego, Oscar, Zhou, Sha, Poyatos, Rafael, Zhang, Yao, Blanken, Peter D., Gimeno, Teresa E., Wohlfahrt, Georg, Desai, Ankur R., Gioli, Beniamino, Limousin, Jean‐Marc, Bonal, Damien, Paul‐Limoges, Eugénie, Scott, Russell L., Varlagin, Andrej, Fuchs, Kathrin, Montagnani, Leonardo, Wolf, Sebastian, Delpierre, Nicolas, Berveiller, Daniel, Gharun, Mana, Belelli Marchesini, Luca, Gianelle, Damiano, Šigut, Ladislav, Mammarella, Ivan, Siebicke, Lukas, Andrew Black, T., Knohl, Alexander, Hörtnagl, Lukas, Magliulo, Vincenzo, Besnard, Simon, Weber, Ulrich, Carvalhais, Nuno, Migliavacca, Mirco, Reichstein, Markus, Jung, Martin, Nelson, Jacob A., Pérez‐Priego, Oscar, Zhou, Sha, Poyatos, Rafael, Zhang, Yao, Blanken, Peter D., Gimeno, Teresa E., Wohlfahrt, Georg, Desai, Ankur R., Gioli, Beniamino, Limousin, Jean‐Marc, Bonal, Damien, Paul‐Limoges, Eugénie, Scott, Russell L., Varlagin, Andrej, Fuchs, Kathrin, Montagnani, Leonardo, Wolf, Sebastian, Delpierre, Nicolas, Berveiller, Daniel, Gharun, Mana, Belelli Marchesini, Luca, Gianelle, Damiano, Šigut, Ladislav, Mammarella, Ivan, Siebicke, Lukas, Andrew Black, T., Knohl, Alexander, Hörtnagl, Lukas, Magliulo, Vincenzo, Besnard, Simon, Weber, Ulrich, Carvalhais, Nuno, Migliavacca, Mirco, Reichstein, Markus, Jung, Martin |
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| description | <jats:title>Abstract</jats:title><jats:p>We apply and compare three widely applicable methods for estimating ecosystem transpiration (<jats:italic>T</jats:italic>) 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 <jats:italic>T</jats:italic> estimates shows high correlation among methods (<jats:italic>R</jats:italic> between .89 and .94), but a spread in magnitudes of <jats:italic>T</jats:italic>/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based <jats:italic>T</jats:italic> estimates show higher correlation to sap flow‐based <jats:italic>T</jats:italic> than EC‐based ET. The partitioning methods show expected tendencies of <jats:italic>T</jats:italic>/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 <jats:italic>T</jats:italic>/ET variability was 1.6 times higher across sites than across years. Spatial variability of <jats:italic>T</jats:italic>/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, <jats:italic>T</jats:italic> and <jats:italic>T</jats:italic>/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding <jats:italic>T</jats:italic> globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data‐based estimates of ecosystem <jats:italic>T</jats:italic> permitting a data‐driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate.</jats:p> |
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| spelling | Nelson, Jacob A. Pérez‐Priego, Oscar Zhou, Sha Poyatos, Rafael Zhang, Yao Blanken, Peter D. Gimeno, Teresa E. Wohlfahrt, Georg Desai, Ankur R. Gioli, Beniamino Limousin, Jean‐Marc Bonal, Damien Paul‐Limoges, Eugénie Scott, Russell L. Varlagin, Andrej Fuchs, Kathrin Montagnani, Leonardo Wolf, Sebastian Delpierre, Nicolas Berveiller, Daniel Gharun, Mana Belelli Marchesini, Luca Gianelle, Damiano Šigut, Ladislav Mammarella, Ivan Siebicke, Lukas Andrew Black, T. Knohl, Alexander Hörtnagl, Lukas Magliulo, Vincenzo Besnard, Simon Weber, Ulrich Carvalhais, Nuno Migliavacca, Mirco Reichstein, Markus Jung, Martin 1354-1013 1365-2486 Wiley General Environmental Science Ecology Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1111/gcb.15314 <jats:title>Abstract</jats:title><jats:p>We apply and compare three widely applicable methods for estimating ecosystem transpiration (<jats:italic>T</jats:italic>) 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 <jats:italic>T</jats:italic> estimates shows high correlation among methods (<jats:italic>R</jats:italic> between .89 and .94), but a spread in magnitudes of <jats:italic>T</jats:italic>/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based <jats:italic>T</jats:italic> estimates show higher correlation to sap flow‐based <jats:italic>T</jats:italic> than EC‐based ET. The partitioning methods show expected tendencies of <jats:italic>T</jats:italic>/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 <jats:italic>T</jats:italic>/ET variability was 1.6 times higher across sites than across years. Spatial variability of <jats:italic>T</jats:italic>/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, <jats:italic>T</jats:italic> and <jats:italic>T</jats:italic>/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding <jats:italic>T</jats:italic> globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data‐based estimates of ecosystem <jats:italic>T</jats:italic> permitting a data‐driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate.</jats:p> Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites Global Change Biology |
| spellingShingle | Nelson, Jacob A., Pérez‐Priego, Oscar, Zhou, Sha, Poyatos, Rafael, Zhang, Yao, Blanken, Peter D., Gimeno, Teresa E., Wohlfahrt, Georg, Desai, Ankur R., Gioli, Beniamino, Limousin, Jean‐Marc, Bonal, Damien, Paul‐Limoges, Eugénie, Scott, Russell L., Varlagin, Andrej, Fuchs, Kathrin, Montagnani, Leonardo, Wolf, Sebastian, Delpierre, Nicolas, Berveiller, Daniel, Gharun, Mana, Belelli Marchesini, Luca, Gianelle, Damiano, Šigut, Ladislav, Mammarella, Ivan, Siebicke, Lukas, Andrew Black, T., Knohl, Alexander, Hörtnagl, Lukas, Magliulo, Vincenzo, Besnard, Simon, Weber, Ulrich, Carvalhais, Nuno, Migliavacca, Mirco, Reichstein, Markus, Jung, Martin, Global Change Biology, Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites, General Environmental Science, Ecology, Environmental Chemistry, Global and Planetary Change |
| title | Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_full | Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_fullStr | Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_full_unstemmed | Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_short | Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| title_sort | ecosystem transpiration and evaporation: insights from three water flux partitioning methods across fluxnet sites |
| title_unstemmed | Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites |
| topic | General Environmental Science, Ecology, Environmental Chemistry, Global and Planetary Change |
| url | http://dx.doi.org/10.1111/gcb.15314 |