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The three major axes of terrestrial ecosystem function

The leaf economics spectrum(1,2) and the global spectrum of plant forms and functions(3) revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species(2). Ecosystem functions depend on environm...

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Autores principales: Migliavacca, Mirco, Musavi, Talie, Mahecha, Miguel D., Nelson, Jacob A., Knauer, Jürgen, Baldocchi, Dennis D., Perez-Priego, Oscar, Christiansen, Rune, Peters, Jonas, Anderson, Karen, Bahn, Michael, Black, T. Andrew, Blanken, Peter D., Bonal, Damien, Buchmann, Nina, Caldararu, Silvia, Carrara, Arnaud, Carvalhais, Nuno, Cescatti, Alessandro, Chen, Jiquan, Cleverly, Jamie, Cremonese, Edoardo, Desai, Ankur R., El-Madany, Tarek S., Farella, Martha M., Fernández-Martínez, Marcos, Filippa, Gianluca, Forkel, Matthias, Galvagno, Marta, Gomarasca, Ulisse, Gough, Christopher M., Göckede, Mathias, Ibrom, Andreas, Ikawa, Hiroki, Janssens, Ivan A., Jung, Martin, Kattge, Jens, Keenan, Trevor F., Knohl, Alexander, Kobayashi, Hideki, Kraemer, Guido, Law, Beverly E., Liddell, Michael J., Ma, Xuanlong, Mammarella, Ivan, Martini, David, Macfarlane, Craig, Matteucci, Giorgio, Montagnani, Leonardo, Pabon-Moreno, Daniel E., Panigada, Cinzia, Papale, Dario, Pendall, Elise, Penuelas, Josep, Phillips, Richard P., Reich, Peter B., Rossini, Micol, Rotenberg, Eyal, Scott, Russell L., Stahl, Clement, Weber, Ulrich, Wohlfahrt, Georg, Wolf, Sebastian, Wright, Ian J., Yakir, Dan, Zaehle, Sönke, Reichstein, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528706/
https://www.ncbi.nlm.nih.gov/pubmed/34552242
http://dx.doi.org/10.1038/s41586-021-03939-9
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author Migliavacca, Mirco
Musavi, Talie
Mahecha, Miguel D.
Nelson, Jacob A.
Knauer, Jürgen
Baldocchi, Dennis D.
Perez-Priego, Oscar
Christiansen, Rune
Peters, Jonas
Anderson, Karen
Bahn, Michael
Black, T. Andrew
Blanken, Peter D.
Bonal, Damien
Buchmann, Nina
Caldararu, Silvia
Carrara, Arnaud
Carvalhais, Nuno
Cescatti, Alessandro
Chen, Jiquan
Cleverly, Jamie
Cremonese, Edoardo
Desai, Ankur R.
El-Madany, Tarek S.
Farella, Martha M.
Fernández-Martínez, Marcos
Filippa, Gianluca
Forkel, Matthias
Galvagno, Marta
Gomarasca, Ulisse
Gough, Christopher M.
Göckede, Mathias
Ibrom, Andreas
Ikawa, Hiroki
Janssens, Ivan A.
Jung, Martin
Kattge, Jens
Keenan, Trevor F.
Knohl, Alexander
Kobayashi, Hideki
Kraemer, Guido
Law, Beverly E.
Liddell, Michael J.
Ma, Xuanlong
Mammarella, Ivan
Martini, David
Macfarlane, Craig
Matteucci, Giorgio
Montagnani, Leonardo
Pabon-Moreno, Daniel E.
Panigada, Cinzia
Papale, Dario
Pendall, Elise
Penuelas, Josep
Phillips, Richard P.
Reich, Peter B.
Rossini, Micol
Rotenberg, Eyal
Scott, Russell L.
Stahl, Clement
Weber, Ulrich
Wohlfahrt, Georg
Wolf, Sebastian
Wright, Ian J.
Yakir, Dan
Zaehle, Sönke
Reichstein, Markus
author_facet Migliavacca, Mirco
Musavi, Talie
Mahecha, Miguel D.
Nelson, Jacob A.
Knauer, Jürgen
Baldocchi, Dennis D.
Perez-Priego, Oscar
Christiansen, Rune
Peters, Jonas
Anderson, Karen
Bahn, Michael
Black, T. Andrew
Blanken, Peter D.
Bonal, Damien
Buchmann, Nina
Caldararu, Silvia
Carrara, Arnaud
Carvalhais, Nuno
Cescatti, Alessandro
Chen, Jiquan
Cleverly, Jamie
Cremonese, Edoardo
Desai, Ankur R.
El-Madany, Tarek S.
Farella, Martha M.
Fernández-Martínez, Marcos
Filippa, Gianluca
Forkel, Matthias
Galvagno, Marta
Gomarasca, Ulisse
Gough, Christopher M.
Göckede, Mathias
Ibrom, Andreas
Ikawa, Hiroki
Janssens, Ivan A.
Jung, Martin
Kattge, Jens
Keenan, Trevor F.
Knohl, Alexander
Kobayashi, Hideki
Kraemer, Guido
Law, Beverly E.
Liddell, Michael J.
Ma, Xuanlong
Mammarella, Ivan
Martini, David
Macfarlane, Craig
Matteucci, Giorgio
Montagnani, Leonardo
Pabon-Moreno, Daniel E.
Panigada, Cinzia
Papale, Dario
Pendall, Elise
Penuelas, Josep
Phillips, Richard P.
Reich, Peter B.
Rossini, Micol
Rotenberg, Eyal
Scott, Russell L.
Stahl, Clement
Weber, Ulrich
Wohlfahrt, Georg
Wolf, Sebastian
Wright, Ian J.
Yakir, Dan
Zaehle, Sönke
Reichstein, Markus
author_sort Migliavacca, Mirco
collection PubMed
description The leaf economics spectrum(1,2) and the global spectrum of plant forms and functions(3) revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species(2). Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities(4). However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability(4,5). Here we derive a set of ecosystem functions(6) from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems(7,8).
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spelling pubmed-85287062021-11-04 The three major axes of terrestrial ecosystem function Migliavacca, Mirco Musavi, Talie Mahecha, Miguel D. Nelson, Jacob A. Knauer, Jürgen Baldocchi, Dennis D. Perez-Priego, Oscar Christiansen, Rune Peters, Jonas Anderson, Karen Bahn, Michael Black, T. Andrew Blanken, Peter D. Bonal, Damien Buchmann, Nina Caldararu, Silvia Carrara, Arnaud Carvalhais, Nuno Cescatti, Alessandro Chen, Jiquan Cleverly, Jamie Cremonese, Edoardo Desai, Ankur R. El-Madany, Tarek S. Farella, Martha M. Fernández-Martínez, Marcos Filippa, Gianluca Forkel, Matthias Galvagno, Marta Gomarasca, Ulisse Gough, Christopher M. Göckede, Mathias Ibrom, Andreas Ikawa, Hiroki Janssens, Ivan A. Jung, Martin Kattge, Jens Keenan, Trevor F. Knohl, Alexander Kobayashi, Hideki Kraemer, Guido Law, Beverly E. Liddell, Michael J. Ma, Xuanlong Mammarella, Ivan Martini, David Macfarlane, Craig Matteucci, Giorgio Montagnani, Leonardo Pabon-Moreno, Daniel E. Panigada, Cinzia Papale, Dario Pendall, Elise Penuelas, Josep Phillips, Richard P. Reich, Peter B. Rossini, Micol Rotenberg, Eyal Scott, Russell L. Stahl, Clement Weber, Ulrich Wohlfahrt, Georg Wolf, Sebastian Wright, Ian J. Yakir, Dan Zaehle, Sönke Reichstein, Markus Nature Article The leaf economics spectrum(1,2) and the global spectrum of plant forms and functions(3) revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species(2). Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities(4). However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability(4,5). Here we derive a set of ecosystem functions(6) from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems(7,8). Nature Publishing Group UK 2021-09-22 2021 /pmc/articles/PMC8528706/ /pubmed/34552242 http://dx.doi.org/10.1038/s41586-021-03939-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Migliavacca, Mirco
Musavi, Talie
Mahecha, Miguel D.
Nelson, Jacob A.
Knauer, Jürgen
Baldocchi, Dennis D.
Perez-Priego, Oscar
Christiansen, Rune
Peters, Jonas
Anderson, Karen
Bahn, Michael
Black, T. Andrew
Blanken, Peter D.
Bonal, Damien
Buchmann, Nina
Caldararu, Silvia
Carrara, Arnaud
Carvalhais, Nuno
Cescatti, Alessandro
Chen, Jiquan
Cleverly, Jamie
Cremonese, Edoardo
Desai, Ankur R.
El-Madany, Tarek S.
Farella, Martha M.
Fernández-Martínez, Marcos
Filippa, Gianluca
Forkel, Matthias
Galvagno, Marta
Gomarasca, Ulisse
Gough, Christopher M.
Göckede, Mathias
Ibrom, Andreas
Ikawa, Hiroki
Janssens, Ivan A.
Jung, Martin
Kattge, Jens
Keenan, Trevor F.
Knohl, Alexander
Kobayashi, Hideki
Kraemer, Guido
Law, Beverly E.
Liddell, Michael J.
Ma, Xuanlong
Mammarella, Ivan
Martini, David
Macfarlane, Craig
Matteucci, Giorgio
Montagnani, Leonardo
Pabon-Moreno, Daniel E.
Panigada, Cinzia
Papale, Dario
Pendall, Elise
Penuelas, Josep
Phillips, Richard P.
Reich, Peter B.
Rossini, Micol
Rotenberg, Eyal
Scott, Russell L.
Stahl, Clement
Weber, Ulrich
Wohlfahrt, Georg
Wolf, Sebastian
Wright, Ian J.
Yakir, Dan
Zaehle, Sönke
Reichstein, Markus
The three major axes of terrestrial ecosystem function
title The three major axes of terrestrial ecosystem function
title_full The three major axes of terrestrial ecosystem function
title_fullStr The three major axes of terrestrial ecosystem function
title_full_unstemmed The three major axes of terrestrial ecosystem function
title_short The three major axes of terrestrial ecosystem function
title_sort three major axes of terrestrial ecosystem function
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528706/
https://www.ncbi.nlm.nih.gov/pubmed/34552242
http://dx.doi.org/10.1038/s41586-021-03939-9
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