The three major axes of terrestrial ecosystem function
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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.
I: Nature, Bind 598, Nr. 7881, 2021, s. 468-472.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - The three major axes of terrestrial ecosystem function
AU - Migliavacca, Mirco
AU - Musavi, Talie
AU - Mahecha, Miguel D.
AU - Nelson, Jacob A.
AU - Knauer, Jürgen
AU - Baldocchi, Dennis D.
AU - Perez-Priego, Oscar
AU - Christiansen, Rune
AU - Peters, Jonas
AU - Anderson, Karen
AU - Bahn, Michael
AU - Black, T. Andrew
AU - Blanken, Peter D.
AU - Bonal, Damien
AU - Buchmann, Nina
AU - Caldararu, Silvia
AU - Carrara, Arnaud
AU - Carvalhais, Nuno
AU - Cescatti, Alessandro
AU - Chen, Jiquan
AU - Cleverly, Jamie
AU - Cremonese, Edoardo
AU - Desai, Ankur R.
AU - El-Madany, Tarek S.
AU - Farella, Martha M.
AU - Fernández-Martínez, Marcos
AU - Filippa, Gianluca
AU - Forkel, Matthias
AU - Galvagno, Marta
AU - Gomarasca, Ulisse
AU - Gough, Christopher M.
AU - Göckede, Mathias
AU - Ibrom, Andreas
AU - Ikawa, Hiroki
AU - Janssens, Ivan A.
AU - Jung, Martin
AU - Kattge, Jens
AU - Keenan, Trevor F.
AU - Knohl, Alexander
AU - Kobayashi, Hideki
AU - Kraemer, Guido
AU - Law, Beverly E.
AU - Liddell, Michael J.
AU - Ma, Xuanlong
AU - Mammarella, Ivan
AU - Martini, David
AU - Macfarlane, Craig
AU - Matteucci, Giorgio
AU - Montagnani, Leonardo
AU - Pabon-Moreno, Daniel E.
AU - Panigada, Cinzia
AU - Papale, Dario
AU - Pendall, Elise
AU - Penuelas, Josep
AU - Phillips, Richard P.
AU - Reich, Peter B.
AU - Rossini, Micol
AU - Rotenberg, Eyal
AU - Scott, Russell L.
AU - Stahl, Clement
AU - Weber, Ulrich
AU - Wohlfahrt, Georg
AU - Wolf, Sebastian
AU - Wright, Ian J.
AU - Yakir, Dan
AU - Zaehle, Sönke
AU - Reichstein, Markus
PY - 2021
Y1 - 2021
N2 - The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. 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 variability4,5. Here we derive a set of ecosystem functions6 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 ecosystems7,8.
AB - The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. 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 variability4,5. Here we derive a set of ecosystem functions6 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 ecosystems7,8.
UR - http://www.scopus.com/inward/record.url?scp=85115297278&partnerID=8YFLogxK
U2 - 10.1038/s41586-021-03939-9
DO - 10.1038/s41586-021-03939-9
M3 - Journal article
C2 - 34552242
AN - SCOPUS:85115297278
VL - 598
SP - 468
EP - 472
JO - Nature
JF - Nature
SN - 0028-0836
IS - 7881
ER -
ID: 284175833