The three major axes of terrestrial ecosystem function.

Carbon Cycle Carbon Dioxide / metabolism Climate Datasets as Topic Ecosystem Humidity Plants / classification Principal Component Analysis Water Cycle

Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
10 2021
Historique:
received: 30 10 2019
accepted: 20 08 2021
pubmed: 24 9 2021
medline: 7 1 2022
entrez: 23 9 2021
Statut: ppublish

Résumé

The leaf economics spectrum

Identifiants

DOI: 10.1038/s41586-021-03939-9 PMID: 34552242 PMC: PMC8528706
pubmed: 34552242
doi: 10.1038/s41586-021-03939-9
pii: 10.1038/s41586-021-03939-9
pmc: PMC8528706
doi:

Substances chimiques

Carbon Dioxide 142M471B3J

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

468-472

Informations de copyright

© 2021. The Author(s).

Références

Wright, I. J. et al. The worldwide leaf economics spectrum. Nature 428, 821–827 (2004).
pubmed: 15103368 doi: 10.1038/nature02403
Reich, P. B., Walters, M. B. & Ellsworth, D. S. From tropics to tundra: global convergence in plant functioning. Proc. Natl Acad. Sci. USA 94, 13730–13734 (1997).
pubmed: 9391094 pmcid: 28374 doi: 10.1073/pnas.94.25.13730
Díaz, S. et al. The global spectrum of plant form and function. Nature 529, 167–171 (2016).
pubmed: 26700811 doi: 10.1038/nature16489
Bruelheide, H. et al. Global trait–environment relationships of plant communities. Nat. Ecol. Evol. 2, 1906–1917 (2018).
pubmed: 30455437 doi: 10.1038/s41559-018-0699-8
Manning, P. et al. Redefining ecosystem multifunctionality. Nat. Ecol. Evol. 2, 427–436 (2018).
pubmed: 29453352 doi: 10.1038/s41559-017-0461-7
Reichstein, M., Bahn, M., Mahecha, M. D., Kattge, J. & Baldocchi, D. D. Linking plant and ecosystem functional biogeography. Proc. Natl Acad. Sci. USA 111, 13697–13702 (2014).
pubmed: 25225392 pmcid: 4183334 doi: 10.1073/pnas.1216065111
Anderegg, W. R. L. et al. Climate-driven risks to the climate mitigation potential of forests. Science 368, eaaz7005 (2020).
pubmed: 32554569 doi: 10.1126/science.aaz7005
Bonan, G. B. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science 320, 1444–1449 (2008).
pubmed: 18556546 doi: 10.1126/science.1155121
Baldocchi, D. ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems. Aust. J. Bot. 56, 1–26 (2008).
doi: 10.1071/BT07151
Pastorello, G. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci. Data 7, 225 (2020).
pubmed: 32647314 pmcid: 7347557 doi: 10.1038/s41597-020-0534-3
Nelson, J. A. et al. Ecosystem transpiration and evaporation: insights from three water flux partitioning methods across FLUXNET sites. Global Change Biol. 26, 6916–6930 (2020).
doi: 10.1111/gcb.15314
Janssens, I. A. et al. Productivity overshadows temperature in determining soil and ecosystem respiration across European forests. Global Change Biol. 7, 269–278 (2001).
doi: 10.1046/j.1365-2486.2001.00412.x
Pearl, J. Causality (Cambridge University Press, 2009).
Krich, C. et al. Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions. Biogeosciences 18, 2379–2404 (2021).
doi: 10.5194/bg-18-2379-2021
Musavi, T. et al. Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity. Nat. Ecol. Evol. 1, 0048 (2017).
doi: 10.1038/s41559-016-0048
Ryan, M. G., Phillips, N. & Bond, B. J. The hydraulic limitation hypothesis revisited. Plant Cell Environ. 29, 367–381 (2006).
pubmed: 17080592 doi: 10.1111/j.1365-3040.2005.01478.x
De Kauwe, M. G., Medlyn, B. E., Knauer, J. & Williams, C. A. Ideas and perspectives: how coupled is the vegetation to the boundary layer? Biogeosciences 14, 4435–4453 (2017).
doi: 10.5194/bg-14-4435-2017
Skubel, R. et al. Age effects on the water-use efficiency and water-use dynamics of temperate pine plantation forests. Hydrol. Processes 29, 4100–4113 (2015).
doi: 10.1002/hyp.10549
Law, B. E., Thornton, P. E., Irvine, J., Anthoni, P. M. & Van Tuyl, S. Carbon storage and fluxes in ponderosa pine forests at different developmental stages. Global Change Biol. 7, 755–777 (2001).
doi: 10.1046/j.1354-1013.2001.00439.x
Collalti, A. et al. Forest production efficiency increases with growth temperature. Nat. Commun. 11, 5322 (2020).
pubmed: 33087724 pmcid: 7578801 doi: 10.1038/s41467-020-19187-w
DeLucia, E. H., Drake, J. E., Thomas, R. B. & Gonzalez-Meler, M. Forest carbon use efficiency: is respiration a constant fraction of gross primary production? Global Change Biol. 13, 1157–1167 (2007).
doi: 10.1111/j.1365-2486.2007.01365.x
Fernández-Martínez, M. et al. Nutrient availability as the key regulator of global forest carbon balance. Nat. Clim. Change 4, 471–476 (2014).
doi: 10.1038/nclimate2177
Kennedy, D. et al. Implementing plant hydraulics in the community land model, version 5. J. Adv. Model. Earth Syst. 11, 485–513 (2019).
doi: 10.1029/2018MS001500
Manzoni, S. et al. Reviews and syntheses: carbon use efficiency from organisms to ecosystems – definitions, theories, and empirical evidence. Biogeosciences 15, 5929–5949 (2018).
doi: 10.5194/bg-15-5929-2018
Eyring, V. et al. Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geosci. Model Dev. 13, 3383–3438 (2020).
doi: 10.5194/gmd-13-3383-2020
Reichstein, M. et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biol. 11, 1424–1439 (2005).
doi: 10.1111/j.1365-2486.2005.001002.x
Nelson, J. A., Carvalhais, N., Migliavacca, M., Reichstein, M. & Jung, M. Water-stress-induced breakdown of carbon–water relations: indicators from diurnal FLUXNET patterns. Biogeosciences 15, 2433–2447 (2018).
doi: 10.5194/bg-15-2433-2018
Nelson, J. et al. Coupling water and carbon fluxes to constrain estimates of transpiration: the TEA algorithm. J. Geophys. Res. Biogeosci. 123, 3617–3632 (2018).
doi: 10.1029/2018JG004727
Musavi, T. et al. The imprint of plants on ecosystem functioning: a data-driven approach. Int. J. Appl. Earth Obs. Geoinf. 43, 119–131 (2015).
Musavi, T. et al. Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits. Ecol. Evol. 6, 7352–7366 (2016).
pubmed: 28725403 pmcid: 5513259 doi: 10.1002/ece3.2479
Fleischer, K. et al. Low historical nitrogen deposition effect on carbon sequestration in the boreal zone. J. Geophys. Res. Biogeosci.120, 2542–2561 (2015).
doi: 10.1002/2015JG002988
Flechard, C. R. et al. Carbon–nitrogen interactions in European forests and semi-natural vegetation. Part I: Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling. Biogeosciences 17, 1583–1620 (2020).
doi: 10.5194/bg-17-1583-2020
Migliavacca, M. et al. Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites. Global Change Biol. 17, 390–409 (2011).
doi: 10.1111/j.1365-2486.2010.02243.x
Santoro, M. et al. The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations. Earth Syst. Sci. Data 13, 3927–3950 (2021).
doi: 10.5194/essd-13-3927-2021
Besnard, S. et al. Quantifying the effect of forest age in annual net forest carbon balance. Environ. Res. Lett. 13, 124018 (2018).
doi: 10.1088/1748-9326/aaeaeb
Migliavacca, M. et al. Seasonal and interannual patterns of carbon and water fluxes of a poplar plantation under peculiar eco-climatic conditions. Agric. For. Meteorol. 149, 1460–1476 (2009).
doi: 10.1016/j.agrformet.2009.04.003
Gilmanov, T. G. et al. Productivity, respiration, and light-response parameters of world grassland and agroecosystems derived from flux-tower measurements. Rangel. Ecol. Manag. 63, 16–39 (2010).
doi: 10.2111/REM-D-09-00072.1
Wutzler, T. et al. Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences 15, 5015–5030 (2018).
doi: 10.5194/bg-15-5015-2018
Mahecha, M. D. et al. Global convergence in the temperature sensitivity of respiration at ecosystem level. Science 329, 838–840 (2010).
pubmed: 20603495 doi: 10.1126/science.1189587
Migliavacca, M. et al. Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests. Global Change Biol. 21, 363–376 (2015).
doi: 10.1111/gcb.12671
Reichstein, M. et al. Modeling temporal and large-scale spatial variability of soil respiration from soil water availability, temperature and vegetation productivity indices. Global Biogeochem. Cycles 17, 1104 (2003).
doi: 10.1029/2003GB002035
Knauer, J. et al. Towards physiologically meaningful water-use efficiency estimates from eddy covariance data. Global Change Biol. 24, 694–710 (2018).
doi: 10.1111/gcb.13893
Medlyn, B. E. et al. Reconciling the optimal and empirical approaches to modelling stomatal conductance. Global Change Biol. 17, 2134–2144 (2011).
doi: 10.1111/j.1365-2486.2010.02375.x
Knauer, J., El-Madany, T. S., Zaehle, S. & Migliavacca, M. bigleaf—an R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PloS ONE 13, e0201114 (2018).
pubmed: 30106974 pmcid: 6091920 doi: 10.1371/journal.pone.0201114
Knohl, A. & Buchmann, N. Partitioning the net CO
doi: 10.1029/2004GB002301
Zhou, S., Yu, B., Huang, Y. & Wang, G. The effect of vapor pressure deficit on water use efficiency at the subdaily time scale. Geophys. Res. Lett. 41, 5005–5013 (2014).
doi: 10.1002/2014GL060741
Verhoef, A., De Bruin, H. A. R. & Van Den Hurk, B. J. J. M. Some practical notes on the parameter kB
doi: 10.1175/1520-0450(1997)036<0560:SPNOTP>2.0.CO;2
Thom, A. S. in Vegetation and the Atmosphere (ed. Monteith, J. L.) 57–109 (Academic Press, 1975).
Thom, A. S. Momentum, mass and heat exchange of vegetation. Q. J. R. Meteorolog. Soc. 98, 124–134 (1972).
doi: 10.1002/qj.49709841510
Gentine, P., Entekhabi, D., Chehbouni, A., Boulet, G. & Duchemin, B. Analysis of evaporative fraction diurnal behaviour. Agric. For. Meteorol. 143, 13–29 (2007).
doi: 10.1016/j.agrformet.2006.11.002
Husson, F., Le, S. & Pages, J. Exploratory Multivariate Analysis by Example Using R (CRC Press, 2010).
Kraemer, G., Camps-Valls, G., Reichstein, M. & Mahecha, M. D. Summarizing the state of the terrestrial biosphere in few dimensions. Biogeosciences 17, 2397–2424 (2020).
doi: 10.5194/bg-17-2397-2020
Dray, S. On the number of principal components: a test of dimensionality based on measurements of similarity between matrices. Comput. Stat. Data Anal. 52, 2228–2237 (2008).
doi: 10.1016/j.csda.2007.07.015
Dray, S. & Dufour, A.-B. The ade4 package: implementing the duality diagram for ecologists. J. Stat. Softw. 22, 20 (2007).
doi: 10.18637/jss.v022.i04
Peres-Neto, P. R., Jackson, D. A. & Somers, K. M. Giving meaningful interpretation to ordination axes: assessing loading significance in principal component analysis. Ecology 84, 2347–2363 (2003).
doi: 10.1890/00-0634
Richman, M. B. A cautionary note concerning a commonly applied eigenanalysis procedure. Tellus B 40B, 50–58 (1988).
doi: 10.1111/j.1600-0889.1988.tb00212.x
Friedman, J. H. Greedy function approximation: a gradient boosting machine. Ann. Statist. 29, 1189–1232 (2001).
doi: 10.1214/aos/1013203451
Peters, J., Bühlmann, P. & Meinshausen, N. Causal inference by using invariant prediction: identification and confidence intervals. J. R. Stat. Soc. B 78, 947–1012 (2016).
doi: 10.1111/rssb.12167
Haavelmo, T. The probability approach in econometrics. Econometrica 12, 1–115 (1944).
doi: 10.2307/1906935
Breiman, L. Random Forests. Mach. Learn. 45, 5–32 (2001).
doi: 10.1023/A:1010933404324
Hastie, T. J. & Tibshirani, R. J. Generalized Additive Models Vol. 43 (CRC Press, 1990).
Wood, S. N. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. R. Stat. Soc. B 73, 3–36 (2011).
doi: 10.1111/j.1467-9868.2010.00749.x
Zaehle, S. & Friend, A. D. Carbon and nitrogen cycle dynamics in the O-CN land surface model: 1. Model description, site-scale evaluation, and sensitivity to parameter estimates. Global Biogeochem. Cycles 24, GB1005 (2010).
Zaehle, S. et al. Carbon and nitrogen cycle dynamics in the O-CN land surface model: 2. Role of the nitrogen cycle in the historical terrestrial carbon balance. Global Biogeochem. Cycles 24, GB1006 (2010).
doi: 10.1029/2009GB003522
Zaehle, S., Friedlingstein, P. & Friend, A. D. Terrestrial nitrogen feedbacks may accelerate future climate change. Geophys. Res. Lett. 37, L01401 (2010).
doi: 10.1029/2009GL041345
Raddatz, T. J. et al. Will the tropical land biosphere dominate the climate–carbon cycle feedback during the twenty-first century? Clim. Dyn. 29, 565–574 (2007).
doi: 10.1007/s00382-007-0247-8
Mauritsen, T. et al. Developments in the MPI-M Earth system model version 1.2 (MPI-ESM1.2) and its response to increasing CO
pubmed: 32742553 pmcid: 7386935 doi: 10.1029/2018MS001400
Krinner, G. et al. A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochem. Cycles 19, GB1015 (2005).
doi: 10.1029/2003GB002199
Friedlingstein, P. et al. Global carbon budget 2019. Earth Syst. Sci. Data 11, 1783–1838 (2019).
doi: 10.5194/essd-11-1783-2019
Fleischer, K. et al. Amazon forest response to CO
doi: 10.1038/s41561-019-0404-9
Meyerholt, J. & Zaehle, S. Controls of terrestrial ecosystem nitrogen loss on simulated productivity responses to elevated CO
doi: 10.5194/bg-15-5677-2018
Zaehle, S. et al. Evaluation of 11 terrestrial carbon-nitrogen cycle models against observations from two temperate free-air CO
pubmed: 24467623 pmcid: 4288990 doi: 10.1111/nph.12697
Zaehle, S., Ciais, P., Friend, A. D. & Prieur, V. Carbon benefits of anthropogenic reactive nitrogen offset by nitrous oxide emissions. Nat. Geosci. 4, 601–605 (2011).
doi: 10.1038/ngeo1207
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag, 2016).
Whittaker, R. H. Communities and Ecosystems 2nd edn (MacMillan Publishing Co., 1975).
Ricklefs, R. E. The Economy of Nature 6th ed. Ch. 5 (W. H. Freeman, 2008).
Liu, Y., Schwalm, C. R., Samuels-Crow, K. E. & Ogle, K. Ecological memory of daily carbon exchange across the globe and its importance in drylands. Ecol. Lett. 22, 1806–1816 (2019).
pubmed: 31397053 doi: 10.1111/ele.13363

Auteurs

Mirco Migliavacca (M)

Max Planck Institute for Biogeochemistry, Jena, Germany. mmiglia@bgc-jena.mpg.de.
German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany. mmiglia@bgc-jena.mpg.de.
European Commission, Joint Research Centre (JRC), Ispra, Italy. mmiglia@bgc-jena.mpg.de.
ORCID: 0000-0003-3546-8407

Talie Musavi (T)

Max Planck Institute for Biogeochemistry, Jena, Germany.

Miguel D Mahecha (MD)

Max Planck Institute for Biogeochemistry, Jena, Germany.
German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany.
Remote Sensing Center for Earth System Research, Leipzig University, Leipzig, Germany.
Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
ORCID: 0000-0003-3031-613X

Jacob A Nelson (JA)

Max Planck Institute for Biogeochemistry, Jena, Germany.

Jürgen Knauer (J)

CSIRO Oceans and Atmosphere, Canberra, Australian Capital Territory, Australia.
Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia.

Dennis D Baldocchi (DD)

Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA.

Oscar Perez-Priego (O)

Department of Forest Engineering, ERSAF Research Group, University of Cordoba, Cordoba, Spain.

Rune Christiansen (R)

Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.

Jonas Peters (J)

Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.

Karen Anderson (K)

Environment and Sustainability Institute, University of Exeter, Penryn, UK.
ORCID: 0000-0002-3289-2598

Michael Bahn (M)

Department of Ecology, University of Innsbruck, Innsbruck, Austria.
ORCID: 0000-0001-7482-9776

T Andrew Black (TA)

Faculty of Land and Food Systems, Vancouver, British Columbia, Canada.

Peter D Blanken (PD)

Department of Geography, University of Colorado, Boulder, CO, USA.
ORCID: 0000-0002-7405-2220

Damien Bonal (D)

Université de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, France.
ORCID: 0000-0001-9602-8603

Nina Buchmann (N)

Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.
ORCID: 0000-0003-0826-2980

Silvia Caldararu (S)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0001-5839-6480

Arnaud Carrara (A)

Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), Paterna, Spain.

Nuno Carvalhais (N)

Max Planck Institute for Biogeochemistry, Jena, Germany.
Departamento de Ciências e Engenharia do Ambiente, Universidade Nova de Lisboa, Caparica, Portugal.

Alessandro Cescatti (A)

European Commission, Joint Research Centre (JRC), Ispra, Italy.

Jiquan Chen (J)

Landscape Ecology & Ecosystem Science (LEES) Lab, Center for Global Change and Earth Observations, and Department of Geography, Environmental and Spatial Science, Michigan State University, East Lansing, MI, USA.
ORCID: 0000-0003-0761-9458

Jamie Cleverly (J)

School of Life Sciences, University of Technology Sydney, Ultimo, New South Wales, Australia.
Terrestrial Ecosystem Research Network, College of Science and Engineering, James Cook University, Cairns, Queensland, Australia.
ORCID: 0000-0002-2731-7150

Edoardo Cremonese (E)

Climate Change Unit, Environmental Protection Agency of Aosta Valley, Aosta, Italy.
ORCID: 0000-0002-6708-8532

Ankur R Desai (AR)

Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA.
ORCID: 0000-0002-5226-6041

Tarek S El-Madany (TS)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0002-0726-7141

Martha M Farella (MM)

O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA.
ORCID: 0000-0002-2925-4093

Marcos Fernández-Martínez (M)

Research Group Plant and Ecosystems (PLECO), Department of Biology, University of Antwerp, Wilrijk, Belgium.
ORCID: 0000-0002-5661-3610

Gianluca Filippa (G)

Climate Change Unit, Environmental Protection Agency of Aosta Valley, Aosta, Italy.

Matthias Forkel (M)

Institute of Photogrammetry and Remote Sensing, TU Dresden, Dresden, Germany.

Marta Galvagno (M)

Climate Change Unit, Environmental Protection Agency of Aosta Valley, Aosta, Italy.

Ulisse Gomarasca (U)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0001-7389-7793

Christopher M Gough (CM)

Department of Biology, Virginia Commonwealth University, Richmond, VA, USA.
ORCID: 0000-0002-1227-7731

Mathias Göckede (M)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0003-2833-8401

Andreas Ibrom (A)

Department of Environmental Engineering, Technical University of Denmark (DTU), Kongens Lyngby, Denmark.
ORCID: 0000-0002-1341-921X

Hiroki Ikawa (H)

Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Japan.

Ivan A Janssens (IA)

Research Group Plant and Ecosystems (PLECO), Department of Biology, University of Antwerp, Wilrijk, Belgium.
ORCID: 0000-0002-5705-1787

Martin Jung (M)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0002-7588-1004

Jens Kattge (J)

Max Planck Institute for Biogeochemistry, Jena, Germany.
German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany.
ORCID: 0000-0002-1022-8469

Trevor F Keenan (TF)

Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA.
Earth and Environmental Science Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
ORCID: 0000-0002-3347-0258

Alexander Knohl (A)

Bioclimatology, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Goettingen, Germany.
Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Goettingen, Germany.
ORCID: 0000-0002-7615-8870

Hideki Kobayashi (H)

Research Institute for Global Change, Institute of Arctic Climate and Environment Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan.
ORCID: 0000-0001-9319-0621

Guido Kraemer (G)

Remote Sensing Center for Earth System Research, Leipzig University, Leipzig, Germany.
Image Processing Laboratory (IPL), Universitat de València, València, Spain.
ORCID: 0000-0003-4865-5041

Beverly E Law (BE)

Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA.
ORCID: 0000-0002-1605-1203

Michael J Liddell (MJ)

Centre for Tropical, Environmental, and Sustainability Sciences, James Cook University, Cairns, Queensland, Australia.

Xuanlong Ma (X)

College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China.

Ivan Mammarella (I)

Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland.
ORCID: 0000-0002-8516-3356

David Martini (D)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0003-2180-5126

Craig Macfarlane (C)

CSIRO Land and Water, Floreat, Western Australia, Australia.

Giorgio Matteucci (G)

Consiglio Nazionale delle Ricerche, Istituto per la BioEconomia (CNR - IBE), Sesto Fiorentino, Italy.

Leonardo Montagnani (L)

Facoltà di Scienze e Tecnologie, Libera Universita' di Bolzano, Bolzano, Italy.
Forest Services of the Autonomous Province of Bozen-Bolzano, Bolzano, Italy.
ORCID: 0000-0003-2957-9071

Daniel E Pabon-Moreno (DE)

Max Planck Institute for Biogeochemistry, Jena, Germany.

Cinzia Panigada (C)

Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Milan, Italy.

Dario Papale (D)

Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
ORCID: 0000-0001-5170-8648

Elise Pendall (E)

Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia.
ORCID: 0000-0002-1651-8969

Josep Penuelas (J)

CSIC, Global Ecology Unit CREAF-CSIC-UAB, Barcelona, Spain.
CREAF, Barcelona, Spain.
ORCID: 0000-0002-7215-0150

Richard P Phillips (RP)

Department of Biology, Indiana University, Bloomington, IN, USA.
ORCID: 0000-0002-1345-4138

Peter B Reich (PB)

Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia.
Department of Forest Resources, University of Minnesota, Saint Paul, MN, USA.
Institute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA.
ORCID: 0000-0003-4424-662X

Micol Rossini (M)

Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Milan, Italy.
ORCID: 0000-0002-6052-3140

Eyal Rotenberg (E)

Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel.

Russell L Scott (RL)

Southwest Watershed Research Center, USDA Agricultural Research Service, Tucson, AZ, USA.
ORCID: 0000-0003-2987-5380

Clement Stahl (C)

INRAE, UMR EcoFoG, CNRS, Cirad, AgroParisTech, Université des Antilles, Université de Guyane, Kourou, France.

Ulrich Weber (U)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0001-7116-035X

Georg Wohlfahrt (G)

Department of Ecology, University of Innsbruck, Innsbruck, Austria.
ORCID: 0000-0003-3080-6702

Sebastian Wolf (S)

Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.
ORCID: 0000-0001-7717-6993

Ian J Wright (IJ)

Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia.
Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia.
ORCID: 0000-0001-8338-9143

Dan Yakir (D)

Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel.
ORCID: 0000-0003-3381-1398

Sönke Zaehle (S)

Max Planck Institute for Biogeochemistry, Jena, Germany.
ORCID: 0000-0001-5602-7956

Markus Reichstein (M)

Max Planck Institute for Biogeochemistry, Jena, Germany. mreichstein@bgc-jena.mpg.de.
German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany. mreichstein@bgc-jena.mpg.de.
Michael-Stifel-Center Jena for Data-driven and Simulation Science, Friedrich-Schiller-Universität Jena, Jena, Germany. mreichstein@bgc-jena.mpg.de.
ORCID: 0000-0001-5736-1112

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Classifications MeSH

questionsmedicales.fr › Phénomènes biologiques › Phénomènes écologiques et environnementaux › Cycle du carbone › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Produits chimiques inorganiques › Composés de l'oxygène › Oxydes › Dioxyde de carbone › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Environnement et santé publique › Environnement › Concepts météorologiques › Atmosphère › Climat › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Jeux de données comme sujet › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Environnement et santé publique › Environnement › Concepts météorologiques › Atmosphère › Temps (météorologie) › Humidité › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Eucaryotes › Plantes › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Techniques d'investigation › Analyse en composantes principales › The three major axes of terrestrial ecosystem function.
questionsmedicales.fr › Phénomènes biologiques › Phénomènes écologiques et environnementaux › Cycle de l'eau › The three major axes of terrestrial ecosystem function.