Leaf-level coordination principles propagate to the ecosystem scale
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Originalsprog | Engelsk |
---|---|
Artikelnummer | 3948 |
Tidsskrift | Nature Communications |
Vol/bind | 14 |
Udgave nummer | 1 |
Antal sider | 11 |
ISSN | 2041-1723 |
DOI | |
Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, Swiss FluxNet, TCOS-Siberia, and USCCC. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux, and AsiaFlux offices. We thank Weber U., Holst J., Meyer W., Hughes H., Nave L., Kosugi Y., Stuart-Haëntjens E., Arndt S., Battles J., Desai A., Moore T., Vogel C., Munger W. J., and York R. for contributing data used in this study. U. Gomarasca and M. Migliavacca thank the International Max Planck Research School (IMPRS). M. Reichstein and G. Duveiller acknowledge funding by the European Research Council (ERC) Synergy Grant “Understanding and Modeling the Earth System with Machine Learning (USMILE)” under the Horizon 2020 research and innovation program (Grant agreement No. 855187). This work was also supported by the Swiss National Science Foundation (40FA40_154245; 20FI21_148992; 20FI20_173691; 20FI20_198227) to N. Buchmann, the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2022R1A2C1003504) to C. Byun, the German Research Foundation DFG (INST 186/1118-1 FUGG) and the Ministry of Lower-Saxony for Science and Culture (DigitalForst: Niedersächsisches Vorab, ZN 3679) to A. Knohl, the Estonian Research Council team grant PRG537 to Ü. Niinemets, the Organismo Autónomo de Parques Nacionales (project 2822/2021) to O. Perez-Priego, the Spanish Government grant PID2019-110521GB-I00 to J. Peñuelas; the U.S. National Science Foundation, Biological Integration Institutes grant NSF‐DBI‐2021898 to P. B. Reich, the CzeCOS program (grant number LM2018123) and SustES—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16019/0000797) to L. Šigut, and European Space Agency Living Planet Fellowship ‘Vad3e mecum’ to S. Walther.
Funding Information:
This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, Swiss FluxNet, TCOS-Siberia, and USCCC. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux, and AsiaFlux offices. We thank Weber U., Holst J., Meyer W., Hughes H., Nave L., Kosugi Y., Stuart-Haëntjens E., Arndt S., Battles J., Desai A., Moore T., Vogel C., Munger W. J., and York R. for contributing data used in this study. U. Gomarasca and M. Migliavacca thank the International Max Planck Research School (IMPRS). M. Reichstein and G. Duveiller acknowledge funding by the European Research Council (ERC) Synergy Grant “Understanding and Modeling the Earth System with Machine Learning (USMILE)” under the Horizon 2020 research and innovation program (Grant agreement No. 855187). This work was also supported by the Swiss National Science Foundation (40FA40_154245; 20FI21_148992; 20FI20_173691; 20FI20_198227) to N. Buchmann, the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2022R1A2C1003504) to C. Byun, the German Research Foundation DFG (INST 186/1118-1 FUGG) and the Ministry of Lower-Saxony for Science and Culture (DigitalForst: Niedersächsisches Vorab, ZN 3679) to A. Knohl, the Estonian Research Council team grant PRG537 to Ü. Niinemets, the Organismo Autónomo de Parques Nacionales (project 2822/2021) to O. Perez-Priego, the Spanish Government grant PID2019-110521GB-I00 to J. Peñuelas; the U.S. National Science Foundation, Biological Integration Institutes grant NSF‐DBI‐2021898 to P. B. Reich, the CzeCOS program (grant number LM2018123) and SustES—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16019/0000797) to L. Šigut, and European Space Agency Living Planet Fellowship ‘Vad3e mecum’ to S. Walther.
Publisher Copyright:
© 2023, The Author(s).
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