DOI: 10.1111/gcb.12270
论文题名: Impacts of elevated CO2 concentration on the productivity and surface energy budget of the soybean and maize agroecosystem in the Midwest USA
作者: Twine T.E. ; Bryant J.J. ; T. Richter K. ; Bernacchi C.J. ; Mcconnaughay K.D. ; Morris S.J. ; Leakey A.D.B.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期: 9 起始页码: 2838
结束页码: 2852
语种: 英语
英文关键词: Agro-IBIS
; Agroecosystems
; Carbon dioxide
; Evapotranspiration
; Latent heat flux
; Maize
; Sensible heat flux
; Soybean
Scopus关键词: agricultural ecosystem
; carbon dioxide
; concentration (composition)
; crop yield
; energy budget
; evapotranspiration
; global climate
; latent heat flux
; leaf area
; maize
; photosynthesis
; physiological response
; sensible heat flux
; soybean
; surface energy
; vegetation
; Midwest
; United States
; Glycine max
; Zea mays
; carbon dioxide
; Agro-IBIS
; agroecosystems
; article
; crop
; ecosystem
; energy metabolism
; evapotranspiration
; latent heat flux
; maize
; metabolism
; sensible heat flux
; soybean
; United States
; Agro-IBIS
; agroecosystems
; carbon dioxide
; evapotranspiration
; latent heat flux
; maize
; sensible heat flux
; soybean
; Carbon Dioxide
; Crops, Agricultural
; Ecosystem
; Energy Metabolism
; Midwestern United States
; Soybeans
; Zea mays
英文摘要: The physiological response of vegetation to increasing atmospheric carbon dioxide concentration ([CO2]) modifies productivity and surface energy and water fluxes. Quantifying this response is required for assessments of future climate change. Many global climate models account for this response; however, significant uncertainty remains in model simulations of this vegetation response and its impacts. Data from in situ field experiments provide evidence that previous modeling studies may have overestimated the increase in productivity at elevated [CO2], and the impact on large-scale water cycling is largely unknown. We parameterized the Agro-IBIS dynamic global vegetation model with observations from the SoyFACE experiment to simulate the response of soybean and maize to an increase in [CO2] from 375 ppm to 550 ppm. The two key model parameters that were found to vary with [CO2] were the maximum carboxylation rate of photosynthesis and specific leaf area. Tests of the model that used SoyFACE parameter values showed a good fit to site-level data for all variables except latent heat flux over soybean and sensible heat flux over both crops. Simulations driven with historic climate data over the central USA showed that increased [CO2] resulted in decreased latent heat flux and increased sensible heat flux from both crops when averaged over 30 years. Thirty-year average soybean yield increased everywhere (ca. 10%); however, there was no increase in maize yield except during dry years. Without accounting for CO2 effects on the maximum carboxylation rate of photosynthesis and specific leaf area, soybean simulations at 550 ppm overestimated leaf area and yield. Our results highlight important model parameter values that, if not modified in other models, could result in biases when projecting future crop-climate-water relationships. © 2013 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62357
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Soil, Water, and Climate, University of Minnesota, 439 Borlaug Hall, 1991 Upper Buford Circle, Saint Paul, MN 55108, United States; Department of Plant Biology, University of Illinois at Urbana-Champaign, 1402 Institute for Genomic Biology, 1206 W Gregory Dr, Urbana, IL 61801, United States; USDA-ARS Global Change and Photosynthesis Research Unit, Edward R. Madigan Laboratory MC-051, Urbana, IL 61801, United States; Biology Department, Bradley University, 1501 W. Bradley Avenue, Peoria, IL 61625, United States; WindLogics, Saint Paul, MN 55108, United States
Recommended Citation:
Twine T.E.,Bryant J.J.,T. Richter K.,et al. Impacts of elevated CO2 concentration on the productivity and surface energy budget of the soybean and maize agroecosystem in the Midwest USA[J]. Global Change Biology,2013-01-01,19(9)