Importance of crop varieties and management practices: evaluation of a process-based model for simulating CO2 and H2O fluxes at five European maize (Zea mays L.) sites

This paper is a modelling study of crop management impacts on carbon and water fluxes at a range of European sites. The model is a crop growth model (STICS) coupled with a process-based land surface model (ORCHIDEE). The data are online eddy-covariance observations of CO2 and H2O fluxes at five European maize cultivation sites. The results show that the ORCHIDEE-STICS model explains up to 75% of the observed daily net CO2 ecosystem exchange (NEE) variance, and up to 79% of the latent heat flux (LE) variance at five sites. The model is better able to reproduce gross primary production (GPP) variations than terrestrial ecosystem respiration (TER) variations. We conclude that structural deficiencies in the model parameterizations of leaf area index (LAI) and TER are the main sources of error in simulating CO2 and H2O fluxes. A number of sensitivity tests, with variable crop variety, nitrogen fertilization, irrigation, and planting date, indicate that any of these management factors is able to change NEE by more than 15%, but that the response of NEE to management parameters is highly site-dependent. Changes in management parameters are found to impact not only the daily values of NEE and LE, but also the cumulative yearly values. In addition, LE is shown to be less sensitive to management parameters than NEE. Multi-site model evaluations, coupled with sensitivity analysis to management parameters, thus provide important information about model errors, which helps to improve the simulation of CO2 and H2O fluxes across European croplands.

[1]  L. M. Vleeshouwers,et al.  Carbon emission and sequestration by agricultural land use: a model study for Europe , 2002 .

[2]  Riccardo Valentini,et al.  Fluxes of Carbon, Water and Energy of European Forests , 2003, Ecological Studies.

[3]  Beniamino Gioli,et al.  The CarboEurope regional experiment strategy , 2006 .

[4]  M. Claussen,et al.  Effects of anthropogenic land cover change on the carbon cycle of the last millennium , 2009 .

[5]  G. Collatz,et al.  Coupled Photosynthesis-Stomatal Conductance Model for Leaves of C4 Plants , 1992 .

[6]  P. Ciais,et al.  Including Croplands in a Global Biosphere Model: Methodology and Evaluation at Specific Sites , 2004 .

[7]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[8]  Li Zhang,et al.  Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models. , 2009, Ecological applications : a publication of the Ecological Society of America.

[9]  T. Arkebauer,et al.  Gross primary production and ecosystem respiration of irrigated maize and irrigated soybean during a growing season , 2005 .

[10]  H. R. Duke,et al.  Remote Sensing of Plant Nitrogen Status in Corn , 1996 .

[11]  Philippe Bousquet,et al.  Daily CO2 flux estimates over Europe from continuous atmospheric measurements: 1, inverse methodology , 2005 .

[12]  A. Bondeau,et al.  Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model , 2009 .

[13]  P. Ciais,et al.  European-wide simulations of croplands using an improved terrestrial biosphere model: Phenology and productivity , 2010 .

[14]  G. Lemaire,et al.  Nitrogen uptake capacities of maize and sorghum crops in different nitrogen and water supply conditions , 1996 .

[15]  Pete Smith,et al.  Carbon sequestration in the agricultural soils of Europe , 2004 .

[16]  Philippe Ciais,et al.  Coupling the Soil-Vegetation-Atmosphere-Transfer Scheme ORCHIDEE to the agronomy model STICS to study the influence of croplands on the European carbon and water budgets , 2004 .

[17]  D. Timlin,et al.  Temperature dependence of growth, development, and photosynthesis in maize under elevated CO2 , 2007 .

[18]  P. Ciais,et al.  Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.

[19]  S. Idso,et al.  Canopy temperature as a crop water stress indicator , 1981 .

[20]  Qiang Yu,et al.  Quantifying the effects of advection on canopy energy budgets and water use efficiency in an irrigated wheat field in the North China Plain , 2007 .

[21]  T. Vesala,et al.  Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation , 2006 .

[22]  Mingkui Cao,et al.  Potential and sustainability for carbon sequestration with improved soil management in agricultural soils of China , 2007 .

[23]  S. Trumbore.  Carbon respired by terrestrial ecosystems – recent progress and challenges , 2006 .

[24]  P. Béziat,et al.  Carbon balance of a three crop succession over two cropland sites in South West France , 2009 .

[25]  H. Sinoquet,et al.  An overview of the crop model STICS , 2003 .

[26]  M. Aubinet,et al.  Carbon sequestration by a crop over a 4-year sugar beet/winter wheat/seed potato/winter wheat rotation cycle , 2009 .

[27]  I. C. Prentice,et al.  A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system , 2005 .

[28]  Steven W. Running,et al.  Usefulness and limits of MODIS GPP for estimating wheat yield , 2005 .

[29]  John M. Antle,et al.  Research Needs for Understanding and Predicting the Behavior of Managed Ecosystems: Lessons from the Study of Agroecosystems , 2001, Ecosystems.

[30]  Andrew E. Suyker,et al.  Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems , 2005 .

[31]  Pete Falloon,et al.  Climate impacts on European agriculture and water management in the context of adaptation and mitigation--the importance of an integrated approach. , 2010, The Science of the total environment.

[32]  Philippe Ciais,et al.  Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades , 2007 .

[33]  N. Viovy.  Interannuality and CO2 sensitivity of the SECHIBA-BGC coupled SVAT-BGC model , 1996 .

[34]  C. Jones,et al.  Direct soil moisture controls of future global soil carbon changes: An important source of uncertainty , 2011 .

[35]  Eric Justes,et al.  STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize , 2002 .

[36]  S. Recous,et al.  STICS : a generic model for the simulation of crops and their water and nitrogen balances. I. Theory, and parameterization applied to wheat and corn , 1998 .

[37]  C. Kucharik,et al.  Residue, respiration, and residuals: Evaluation of a dynamic agroecosystem model using eddy flux measurements and biometric data , 2007 .

[38]  T. Andrew Black,et al.  The simulation of energy, water vapor and carbon dioxide fluxes over common crops by the Canadian Land Surface Scheme (CLASS) , 2005 .

[39]  M. S. Moran,et al.  Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index , 1994 .

[40]  Anatoly A. Gitelson,et al.  Monitoring Maize (Zea mays L.) Phenology with Remote Sensing , 2004 .

[41]  N. Vuichard,et al.  The European carbon balance. Part 2: croplands , 2010 .

[42]  M. Heimann,et al.  Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes , 2007 .

[43]  T. Vesala,et al.  Towards a more harmonized processing of eddy covariance CO 2 fluxes: algorithms and uncertainty estimation , 2006 .

[44]  P. Ciais,et al.  Net carbon dioxide losses of northern ecosystems in response to autumn warming , 2008, Nature.

[45]  Nuno Carvalhais,et al.  Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval , 2008 .

[46]  Andrew E. Suyker,et al.  Growing season carbon dioxide exchange in irrigated and rainfed maize , 2004 .

[47]  P. Ciais,et al.  Carbon and water balance of European croplands throughout the 20th century , 2008 .

[48]  David S. Powlson,et al.  Meeting Europe's climate change commitments: quantitative estimates of the potential for carbon mitigation by agriculture , 2000 .

[49]  T. Vesala,et al.  On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .

[50]  W. Oechel,et al.  Energy balance closure at FLUXNET sites , 2002 .

[51]  F. Woodward,et al.  Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate , 2010, Science.

[52]  Dennis D. Baldocchi,et al.  Seasonal variation in carbon dioxide exchange over a Mediterranean annual grassland in California , 2004 .

[53]  Gérard Dedieu,et al.  TURC: A diagnostic model of continental gross primary productivity and net primary productivity , 1996 .

[54]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

[55]  D. Baldocchi.  Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future , 2003 .

[56]  Pete Smith,et al.  Europe's Terrestrial Biosphere Absorbs 7 to 12% of European Anthropogenic CO2 Emissions , 2003, Science.

[57]  J. Goudriaan,et al.  Productivity of agro-ecosystems , 2001 .

[58]  Markus Reichstein,et al.  On the assignment of prior errors in Bayesian inversions of CO2 surface fluxes , 2006 .