GSTDTAP  > 气候变化
DOI10.1111/gcb.13643
Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment
De Kauwe, Martin G.1; Medlyn, Belinda E.2; Walker, Anthony P.3,4; Zaehle, Soenke5; Asao, Shinichi6; Guenet, Bertrand7; Harper, Anna B.8; Hickler, Thomas9,10; Jain, Atul K.11; Luo, Yiqi12; Lu, Xingjie13; Luus, Kristina5; Parton, William J.6; Shu, Shijie11; Wang, Ying-Ping13; Werner, Christian9; Xia, Jianyang14; Pendall, Elise2; Morgan, Jack A.15; Ryan, Edmund M.16; Carrillo, Yolima2; Dijkstra, Feike A.17; Zelikova, Tamara J.18; Norby, Richard J.3,4
2017-09-01
发表期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2017
卷号23期号:9
文章类型Article
语种英语
国家Australia; USA; Germany; France; England; Peoples R China
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 x 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.


英文关键词allocation carbon dioxide FACE grassland models PHACE phenology soil moisture temperature
领域气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000406812100018
WOS关键词ELEVATED CO2 ; CLIMATE-CHANGE ; SOIL-MOISTURE ; CARBON FLUXES ; GRASSLAND RESPONSES ; SHORTGRASS STEPPE ; ECOSYSTEM CARBON ; ATMOSPHERIC CO2 ; NITROGEN ; WATER
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/16622
专题气候变化
资源环境科学
作者单位1.Macquarie Univ, Dept Biol Sci, N Ryde, NSW 2109, Australia;
2.Western Sydney Univ, Hawkesbury Inst Environm, Locked Bag 1797, Penrith, NSW 2751, Australia;
3.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA;
4.Oak Ridge Natl Lab, Climate Change Sci Inst, POB 2008, Oak Ridge, TN 37831 USA;
5.Max Planck Inst Biogeochem, Biogeochem Integrat Dept, Hans Knoll Str 10, D-07745 Jena, Germany;
6.Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA;
7.Univ Paris Saclay, CEA CNRS UVSQ, LSCE IPSL, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France;
8.Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England;
9.Senckenberg Biodivers & Climate Res Ctr BiK F, Senckenberganlage 25, D-60325 Frankfurt, Germany;
10.Goethe Univ, Dept Phys Geog, Geosci, Altenhoferallee 1, D-60438 Frankfurt, Germany;
11.Univ Illinois, Dept Atmospher Sci, 105 South Gregory St, Urbana, IL 61801 USA;
12.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA;
13.CSIRO Oceans & Atmosphere, Private Bag 1, Aspendale, Vic 3195, Australia;
14.East China Normal Univ, Sch Ecol & Environm Sci, Tiantong Natl Forest Ecosyst Observat & Res Stn, Shanghai 200062, Peoples R China;
15.ARS, USDA, Rangeland Resources Res Unit, Ft Collins, CO 80526 USA;
16.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YW, England;
17.Univ Sydney, Ctr Carbon Water & Food, Sch Life & Environm Sci, Sydney, NSW 2006, Australia;
18.Univ Wyoming, Dept Bot, Laramie, WY 82071 USA
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GB/T 7714
De Kauwe, Martin G.,Medlyn, Belinda E.,Walker, Anthony P.,et al. Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment[J]. GLOBAL CHANGE BIOLOGY,2017,23(9).
APA De Kauwe, Martin G..,Medlyn, Belinda E..,Walker, Anthony P..,Zaehle, Soenke.,Asao, Shinichi.,...&Norby, Richard J..(2017).Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment.GLOBAL CHANGE BIOLOGY,23(9).
MLA De Kauwe, Martin G.,et al."Challenging terrestrial biosphere models with data from the long-term multifactor Prairie Heating and CO2 Enrichment experiment".GLOBAL CHANGE BIOLOGY 23.9(2017).
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