globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13643
论文题名:
Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment
作者: De Kauwe M.G.; Medlyn B.E.; Walker A.P.; Zaehle S.; Asao S.; Guenet B.; Harper A.B.; Hickler T.; Jain A.K.; Luo Y.; Lu X.; Luus K.; Parton W.J.; Shu S.; Wang Y.-P.; Werner C.; Xia J.; Pendall E.; Morgan J.A.; Ryan E.M.; Carrillo Y.; Dijkstra F.A.; Zelikova T.J.; Norby R.J.
刊名: Global Change Biology
出版年: 2017
卷: 23, 期:9
起始页码: 3623
结束页码: 3645
语种: 英语
英文关键词: allocation ; carbon dioxide ; FACE ; grassland ; models ; PHACE ; phenology ; soil moisture ; temperature
英文摘要: Multifactor experiments are often advocated as important for advancing terrestrial biosphere models (TBMs), yet to date, such models have only been tested against single-factor experiments. We applied 10 TBMs to the multifactor Prairie Heating and CO2 Enrichment (PHACE) experiment in Wyoming, USA. Our goals were to investigate how multifactor experiments can be used to constrain models and to identify a road map for model improvement. We found models performed poorly in ambient conditions; there was a wide spread in simulated above-ground net primary productivity (range: 31–390 g C m−2 yr−1). Comparison with data highlighted model failures particularly with respect to carbon allocation, phenology, and the impact of water stress on phenology. Performance against the observations from single-factors treatments was also relatively poor. In addition, similar responses were predicted for different reasons across models: there were large differences among models in sensitivity to water stress and, among the N cycle models, N availability during the experiment. Models were also unable to capture observed treatment effects on phenology: they overestimated the effect of warming on leaf onset and did not allow CO2-induced water savings to extend the growing season length. Observed interactive (CO2 × warming) treatment effects were subtle and contingent on water stress, phenology, and species composition. As the models did not correctly represent these processes under ambient and single-factor conditions, little extra information was gained by comparing model predictions against interactive responses. We outline a series of key areas in which this and future experiments could be used to improve model predictions of grassland responses to global change. © 2017 John Wiley & Sons Ltd
资助项目: De Kauwe, M.G. ; Department of Biological Science, Macquarie UniversityAustralia ; 电子邮件: mdekauwe@gmail.com
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60851
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Biological Science, Macquarie University, North Ryde, NSW, Australia; Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, Australia; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, TN, United States; Biogeochemical Integration Department, Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, Jena, Germany; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, United States; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France; College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, United Kingdom; Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, Frankfurt, Germany; Department of Physical Geography, Geosciences, Goethe-University, Altenhöferallee 1, Frankfurt, Germany; Department of Atmospheric Sciences, University of Illinois, 105 South Gregory Street, Urbana, IL, United States; Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; CSIRO Oceans and Atmosphere, Private Bag #1, Aspendale, VIC, Australia; Tiantong National Forest Ecosystem Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China; Rangeland Resources Research Unit, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO, United States; Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom; Centre for Carbon, Water and Food, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia; Department of Botany, University of Wyoming, Laramie, WY, United States

Recommended Citation:
De Kauwe M.G.,Medlyn B.E.,Walker A.P.,et al. Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment[J]. Global Change Biology,2017-01-01,23(9)
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