globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13268
论文题名:
Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient- and water-limited native Eucalypt woodland
作者: Medlyn B.E.; De Kauwe M.G.; Zaehle S.; Walker A.P.; Duursma R.A.; Luus K.; Mishurov M.; Pak B.; Smith B.; Wang Y.-P.; Yang X.; Crous K.Y.; Drake J.E.; Gimeno T.E.; Macdonald C.A.; Norby R.J.; Power S.A.; Tjoelker M.G.; Ellsworth D.S.
刊名: Global change biology
ISSN: 13652486
出版年: 2016
卷: 22, 期:8
起始页码: 2834
结束页码: 2851
语种: 英语
英文关键词: carbon dioxide ; drought ; ecosystem model ; Eucalyptus tereticornis ; phosphorus
Scopus关键词: carbon dioxide ; water ; carbon dioxide ; carbon emission ; drought ; ecosystem management ; experimental study ; nutrient uptake ; phosphorus ; primary production ; woodland ; carbon cycle ; climate change ; ecosystem ; Eucalyptus ; forest ; metabolism ; photosynthesis ; Carbon Cycle ; Carbon Dioxide ; Climate Change ; Ecosystem ; Eucalyptus ; Forests ; Photosynthesis ; Water ; Eucalyptus ; Eucalyptus tereticornis
英文摘要: 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. © 2016 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61336
Appears in Collections:影响、适应和脆弱性

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作者单位: Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia; Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia; Biogeochemical Integration Department, Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, D-07745, Jena, Germany; Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, 1 Bethel Valley Road, Oak Ridge, TN, USA; Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 22362, Lund, Sweden; CSIRO Oceans and Atmosphere Flagship, Private Bag 1, Aspendale, Vic., 3195, Australia; ISPA, Bordeaux Science Agro, INRA, 33140, Villenave d'Ornon, France

Recommended Citation:
Medlyn B.E.,De Kauwe M.G.,Zaehle S.,et al. Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient- and water-limited native Eucalypt woodland[J]. Global change biology,2016-01-01,22(8)
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