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  Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient- and water-limited native Eucalypt woodland

Medlyn, B. E., De Kauwe, M. G., Zaehle, S., Walker, A. P., Duursma, R. A., Luus, K., et al. (2016). Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient- and water-limited native Eucalypt woodland. Global Change Biology, 22(8), 2834-2851. doi:10.1111/gcb.13268.

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Medlyn, B. E., Autor
De Kauwe, M. G., Autor
Zaehle, Sönke1, 2, Autor           
Walker, A. P., Autor
Duursma, R. A., Autor
Luus, Kristina3, Autor           
Mishurov, M., Autor
Pak, B., Autor
Smith, B., Autor
Wang, Y. P., Autor
Yang, X., Autor
Crous, K. Y., Autor
Drake, J. E., Autor
Gimeno, T. E., Autor
Macdonald, C. A., Autor
Norby, R. J., Autor
Power, S. A., Autor
Tjoelker, M. G., Autor
Ellsworth, D. S., Autor
Affiliations:
1Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
2Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              
3Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Zusammenfassung: The response of terrestrial ecosystems to rising atmospheric CO2 concentration (Ca), particularly under nutrient-limited conditions, is a major uncertainty in Earth System models. The Eucalyptus Free-Air CO2 Enrichment (EucFACE) experiment, recently established in a nutrient- and water-limited woodland presents a unique opportunity to address this uncertainty, but can best do so if key model uncertainties have been identified in advance. We applied seven vegetation models, which have previously been comprehensively assessed against earlier forest FACE experiments, to simulate a priori possible outcomes from EucFACE. Our goals were to provide quantitative projections against which to evaluate data as they are collected, and to identify key measurements that should be made in the experiment to allow discrimination among alternative model assumptions in a postexperiment model intercomparison. Simulated responses of annual net primary productivity (NPP) to elevated Ca ranged from 0.5 to 25% across models. The simulated reduction of NPP during a low-rainfall year also varied widely, from 24 to 70%. Key processes where assumptions caused disagreement among models included nutrient limitations to growth; feedbacks to nutrient uptake; autotrophic respiration; and the impact of low soil moisture availability on plant processes. Knowledge of the causes of variation among models is now guiding data collection in the experiment, with the expectation that the experimental data can optimally inform future model improvements.

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 Datum: 2016-02-092016-05-092016
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: BGC2459
DOI: 10.1111/gcb.13268
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Titel: Global Change Biology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Oxford, UK : Blackwell Science
Seiten: - Band / Heft: 22 (8) Artikelnummer: - Start- / Endseite: 2834 - 2851 Identifikator: ISSN: 1354-1013
CoNE: https://pure.mpg.de/cone/journals/resource/954925618107