Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment

Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment

© 2017 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 23(2017), 9 vom: 11. Sept., Seite 3623-3645
1. Verfasser: De Kauwe, Martin G (VerfasserIn)
Weitere Verfasser: Medlyn, Belinda E, Walker, Anthony P, Zaehle, Sönke, Asao, Shinichi, Guenet, Bertrand, Harper, Anna B, Hickler, Thomas, Jain, Atul K, Luo, Yiqi, Lu, Xingjie, Luus, Kristina, Parton, William J, Shu, Shijie, Wang, Ying-Ping, Werner, Christian, Xia, Jianyang, Pendall, Elise, Morgan, Jack A, Ryan, Edmund M, Carrillo, Yolima, Dijkstra, Feike A, Zelikova, Tamara J, Norby, Richard J
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article FACE PHACE allocation carbon dioxide grassland models phenology soil moisture temperature mehr... Soil Carbon Dioxide 142M471B3J
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100 1 |a De Kauwe, Martin G  |e verfasserin  |4 aut 
245 1 0 |a Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment 
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500 |a Date Revised 02.12.2018 
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500 |a Citation Status MEDLINE 
520 |a © 2017 John Wiley & Sons Ltd. 
520 |a 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 
650 4 |a Journal Article 
650 4 |a FACE 
650 4 |a PHACE 
650 4 |a allocation 
650 4 |a carbon dioxide 
650 4 |a grassland 
650 4 |a models 
650 4 |a phenology 
650 4 |a soil moisture 
650 4 |a temperature 
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650 7 |a Carbon Dioxide  |2 NLM 
650 7 |a 142M471B3J  |2 NLM 
700 1 |a Medlyn, Belinda E  |e verfasserin  |4 aut 
700 1 |a Walker, Anthony P  |e verfasserin  |4 aut 
700 1 |a Zaehle, Sönke  |e verfasserin  |4 aut 
700 1 |a Asao, Shinichi  |e verfasserin  |4 aut 
700 1 |a Guenet, Bertrand  |e verfasserin  |4 aut 
700 1 |a Harper, Anna B  |e verfasserin  |4 aut 
700 1 |a Hickler, Thomas  |e verfasserin  |4 aut 
700 1 |a Jain, Atul K  |e verfasserin  |4 aut 
700 1 |a Luo, Yiqi  |e verfasserin  |4 aut 
700 1 |a Lu, Xingjie  |e verfasserin  |4 aut 
700 1 |a Luus, Kristina  |e verfasserin  |4 aut 
700 1 |a Parton, William J  |e verfasserin  |4 aut 
700 1 |a Shu, Shijie  |e verfasserin  |4 aut 
700 1 |a Wang, Ying-Ping  |e verfasserin  |4 aut 
700 1 |a Werner, Christian  |e verfasserin  |4 aut 
700 1 |a Xia, Jianyang  |e verfasserin  |4 aut 
700 1 |a Pendall, Elise  |e verfasserin  |4 aut 
700 1 |a Morgan, Jack A  |e verfasserin  |4 aut 
700 1 |a Ryan, Edmund M  |e verfasserin  |4 aut 
700 1 |a Carrillo, Yolima  |e verfasserin  |4 aut 
700 1 |a Dijkstra, Feike A  |e verfasserin  |4 aut 
700 1 |a Zelikova, Tamara J  |e verfasserin  |4 aut 
700 1 |a Norby, Richard J  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Global change biology  |d 1999  |g 23(2017), 9 vom: 11. Sept., Seite 3623-3645  |w (DE-627)NLM098239996  |x 1365-2486  |7 nnns 
773 1 8 |g volume:23  |g year:2017  |g number:9  |g day:11  |g month:09  |g pages:3623-3645 
856 4 0 |u http://dx.doi.org/10.1111/gcb.13643  |3 Volltext 
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