Using models to guide field experiments: a priori predictions for the CO2 response of a nutrient‐ and water‐limited native Eucalypt woodland

The response of terrestrial ecosystems to rising atmospheric CO2 concentration (Ca), particularly under nutrient‐limited conditions, is a major uncertainty in Earth System models. The Eucalyptus Free‐Air CO2 Enrichment (EucFACE) experiment, recently established in a nutrient‐ and water‐limited woodland presents a unique opportunity to address this uncertainty, but can best do so if key model uncertainties have been identified in advance. We applied seven vegetation models, which have previously been comprehensively assessed against earlier forest FACE experiments, to simulate a priori possible outcomes from EucFACE. Our goals were to provide quantitative projections against which to evaluate data as they are collected, and to identify key measurements that should be made in the experiment to allow discrimination among alternative model assumptions in a postexperiment model intercomparison. Simulated responses of annual net primary productivity (NPP) to elevated Ca ranged from 0.5 to 25% across models. The simulated reduction of NPP during a low‐rainfall year also varied widely, from 24 to 70%. Key processes where assumptions caused disagreement among models included nutrient limitations to growth; feedbacks to nutrient uptake; autotrophic respiration; and the impact of low soil moisture availability on plant processes. Knowledge of the causes of variation among models is now guiding data collection in the experiment, with the expectation that the experimental data can optimally inform future model improvements.

[1]  D. Ellsworth,et al.  Conserved stomatal behaviour under elevated CO2 and varying water availability in a mature woodland , 2016 .

[2]  D. Ellsworth,et al.  Canopy leaf area of a mature evergreen Eucalyptus woodland does not respond to elevated atmospheric [CO2] but tracks water availability , 2016, Global change biology.

[3]  P. Reich,et al.  Short‐term carbon cycling responses of a mature eucalypt woodland to gradual stepwise enrichment of atmospheric CO2 concentration , 2016, Global change biology.

[4]  Anja Rammig,et al.  Model-data synthesis for the next generation of forest free-air CO2 enrichment (FACE) experiments. , 2016, The New phytologist.

[5]  A. Pitman,et al.  Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe , 2015 .

[6]  D. Ellsworth,et al.  Phosphorus recycling in photorespiration maintains high photosynthetic capacity in woody species. , 2015, Plant, cell & environment.

[7]  Atul K. Jain,et al.  Using ecosystem experiments to improve vegetation models , 2015 .

[8]  Daniel M. Ricciuto,et al.  Predicting long‐term carbon sequestration in response to CO2 enrichment: How and why do current ecosystem models differ? , 2015 .

[9]  D. Ellsworth,et al.  Is phosphorus limiting in a mature Eucalyptus woodland? Phosphorus fertilisation stimulates stem growth , 2015, Plant and Soil.

[10]  M. G. De Kauwe,et al.  Do land surface models need to include di ff erential plant species responses to drought ? Examining model predictions across a latitudinal gradient in Europe , 2015 .

[11]  A. Classen,et al.  Using results from global change experiments to inform land model development and calibration. , 2014, The New phytologist.

[12]  P. Reich,et al.  Plant growth enhancement by elevated CO2 eliminated by joint water and nitrogen limitation , 2014 .

[13]  Meghan L. Avolio,et al.  Toward a better integration of biological data from precipitation manipulation experiments into Earth system models , 2014 .

[14]  Atul K. Jain,et al.  Where does the carbon go? A model–data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites , 2014, The New phytologist.

[15]  Atul K. Jain,et al.  Comprehensive ecosystem model‐data synthesis using multiple data sets at two temperate forest free‐air CO2 enrichment experiments: Model performance at ambient CO2 concentration , 2014 .

[16]  Kenton McHenry,et al.  A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes , 2014 .

[17]  Atul K. Jain,et al.  Evaluation of 11 terrestrial carbon–nitrogen cycle models against observations from two temperate Free-Air CO2 Enrichment studies , 2014, The New phytologist.

[18]  Pierre Friedlingstein,et al.  Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks , 2014 .

[19]  Benjamin Smith,et al.  Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model , 2013 .

[20]  E. Pendall,et al.  Altered root traits due to elevated CO2: a meta‐analysis , 2013 .

[21]  W. Post,et al.  The role of phosphorus dynamics in tropical forests – a modeling study using CLM-CNP , 2013 .

[22]  H. Lambers,et al.  Do arbuscular mycorrhizas or heterotrophic soil microbes contribute toward plant acquisition of a pulse of mineral phosphate? , 2013, Plant and Soil.

[23]  M. Lomas,et al.  Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends , 2013, Global change biology.

[24]  Atul K. Jain,et al.  Forest water use and water use efficiency at elevated CO2: a model‐data intercomparison at two contrasting temperate forest FACE sites , 2013, Global change biology.

[25]  K.,et al.  Carbon–Concentration and Carbon–Climate Feedbacks in CMIP5 Earth System Models , 2012 .

[26]  J. Canadell,et al.  The Australian terrestrial carbon budget , 2012 .

[27]  H. Lambers,et al.  Phosphorus-mobilization ecosystem engineering: the roles of cluster roots and carboxylate exudation in young P-limited ecosystems. , 2012, Annals of botany.

[28]  Peter B Reich,et al.  Key canopy traits drive forest productivity , 2012, Proceedings of the Royal Society B: Biological Sciences.

[29]  Charles T. Garten,et al.  Soil carbon and nitrogen cycling and storage throughout the soil profile in a sweetgum plantation after 11 years of CO2‐enrichment , 2012 .

[30]  P. Fransson.  Elevated CO2 impacts ectomycorrhiza-mediated forest soil carbon flow: fungal biomass production, respiration and exudation , 2012 .

[31]  Charles T. Garten,et al.  Soil carbon and nitrogen cycling and storage throughout the soil profile in a sweetgum plantation after 11 years of CO 2-enrichment , 2012 .

[32]  Donald R. Zak,et al.  Ecological Lessons from Free-Air CO2 Enrichment (FACE) Experiments , 2011 .

[33]  Stephen Porder,et al.  Relationships among net primary productivity, nutrients and climate in tropical rain forest: a pan-tropical analysis. , 2011, Ecology letters.

[34]  K. Calvin,et al.  The RCP greenhouse gas concentrations and their extensions from 1765 to 2300 , 2011 .

[35]  J. Jastrow,et al.  Changes in forest soil organic matter pools after a decade of elevated CO2 and O3 , 2011 .

[36]  A. Millar,et al.  Organization and regulation of mitochondrial respiration in plants. , 2011, Annual review of plant biology.

[37]  Ray Leuning,et al.  Diagnosing errors in a land surface model (CABLE) in the time and frequency domains , 2011 .

[38]  J. Cairney.  Ectomycorrhizal fungi: the symbiotic route to the root for phosphorus in forest soils , 2011, Plant and Soil.

[39]  Jeffrey M. Warren,et al.  CO2 enhancement of forest productivity constrained by limited nitrogen availability , 2010, Proceedings of the National Academy of Sciences.

[40]  James D. Lewis,et al.  Phosphorus supply drives nonlinear responses of cottonwood (Populus deltoides) to increases in CO2 concentration from glacial to future concentrations. , 2010, The New phytologist.

[41]  Y. Carrillo,et al.  Contrasting effects of elevated CO2 and warming on nitrogen cycling in a semiarid grassland. , 2010, The New phytologist.

[42]  Andrew D. Friend,et al.  Carbon and nitrogen cycle dynamics in the O‐CN land surface model: 1. Model description, site‐scale evaluation, and sensitivity to parameter estimates , 2010 .

[43]  J. Randerson,et al.  Technical Description of version 4.0 of the Community Land Model (CLM) , 2010 .

[44]  James S. Clark,et al.  Coordinated approaches to quantify long‐term ecosystem dynamics in response to global change , 2011 .

[45]  Charles W. Cook,et al.  Re-assessment of plant carbon dynamics at the Duke free-air CO(2) enrichment site: interactions of atmospheric [CO(2)] with nitrogen and water availability over stand development. , 2010, The New phytologist.

[46]  Rachel M. Law,et al.  A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere , 2009 .

[47]  Ian J. Wright,et al.  Leaf phosphorus influences the photosynthesis–nitrogen relation: a cross-biome analysis of 314 species , 2009, Oecologia.

[48]  Peter B Reich,et al.  Scaling of respiration to nitrogen in leaves, stems and roots of higher land plants. , 2008, Ecology letters.

[49]  C. Field,et al.  A unifying framework for dinitrogen fixation in the terrestrial biosphere , 2008, Nature.

[50]  H. Lambers,et al.  Plant nutrient-acquisition strategies change with soil age. , 2008, Trends in ecology & evolution.

[51]  W. Parton,et al.  Projected ecosystem impact of the Prairie Heating and CO2 Enrichment experiment. , 2007, The New phytologist.

[52]  Markus Reichstein,et al.  Analyzing the causes and spatial pattern of the European 2003 carbon flux anomaly using seven models , 2007 .

[53]  P. Ciais,et al.  Analyzing the causes and spatial pattern of the European 2003 carbon flux anomaly in Europe using seven models , 2007 .

[54]  J. Lamarque,et al.  Nitrogen and sulfur deposition on regional and global scales: A multimodel evaluation , 2006 .

[55]  Erik J Veneklaas,et al.  Root structure and functioning for efficient acquisition of phosphorus: Matching morphological and physiological traits. , 2006, Annals of botany.

[56]  E. Wood,et al.  Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .

[57]  J. R. Evans,et al.  Phosphorus status determines biomass response to elevated CO2 in a legume : C4 grass community , 2005 .

[58]  Christopher B Field,et al.  Responses of Grassland Production to Single and Multiple Global Environmental Changes , 2005, PLoS biology.

[59]  K. Treseder.  A meta-analysis of mycorrhizal responses to nitrogen, phosphorus, and atmospheric CO2 in field studies. , 2004, The New phytologist.

[60]  T. Daufresne,et al.  SCALING OF C:N:P STOICHIOMETRY IN FORESTS WORLDWIDE: IMPLICATIONS OF TERRESTRIAL REDFIELD‐TYPE RATIOS , 2004 .

[61]  F. Woodward,et al.  Vegetation dynamics – simulating responses to climatic change , 2004, Biological reviews of the Cambridge Philosophical Society.

[62]  M. R. Shaw,et al.  Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2 , 2004, Oecologia.

[63]  D. Ellsworth,et al.  Functional responses of plants to elevated atmospheric CO2– do photosynthetic and productivity data from FACE experiments support early predictions? , 2004 .

[64]  H. Lambers,et al.  Growth and carbon economy of a fast-growing and a slow-growing grass species as dependent on nitrate supply , 1995, Plant and Soil.

[65]  N. Bolan.  A critical review on the role of mycorrhizal fungi in the uptake of phosphorus by plants , 1991, Plant and Soil.

[66]  Yiqi Luo,et al.  Transient ecosystem responses to free-air CO2 enrichment (FACE): experimental evidence and methods of analysis. , 2001, The New phytologist.

[67]  J. Amthor.  The McCree-de Wit-Penning de Vries-Thornley Respiration Paradigms: 30 Years Later , 2000 .

[68]  P. Reich,et al.  Acclimation of respiration to temperature and CO2 in seedlings of boreal tree species in relation to plant size and relative growth rate , 1999 .

[69]  P. Reich,et al.  Changes in leaf nitrogen and carbohydrates underlie temperature and CO2 acclimation of dark respiration in five boreal tree species , 1999 .

[70]  D. A. King,et al.  Modelling forest‐growth response to increasing CO2 concentration in relation to various factors affecting nutrient supply , 1998 .

[71]  R. Waring,et al.  A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning , 1997 .

[72]  I. Prentice,et al.  A general model for the light-use efficiency of primary production , 1996 .

[73]  Ross E. McMurtrie,et al.  The temporal response of forest ecosystems to doubled atmospheric CO2 concentration , 1996 .

[74]  Thomas M. Smith,et al.  A global land primary productivity and phytogeography model , 1995 .

[75]  R. McMurtrie,et al.  Long-Term Response of Nutrient-Limited Forests to CO"2 Enrichment; Equilibrium Behavior of Plant-Soil Models. , 1993, Ecological applications : a publication of the Ecological Society of America.

[76]  J. Conroy,et al.  Effect of nitrogen and phosphorus availability on the growth response of Eucalyptus grandis to high CO2 , 1992 .

[77]  Ulrich Schurr,et al.  Stomatal response to drying soil in relation to changes in the xylem sap composition of Helianthus annuus. I. The concentration of cations, anions, amino acids in, and pH of, the xylem sap , 1992 .

[78]  Michael G. Ryan,et al.  A simple method for estimating gross carbon budgets for vegetation in forest ecosystems. , 1991, Tree physiology.

[79]  J. Conroy,et al.  Influence of phosphorus deficiency on the growth response of four families of Pinus radiata seedlings to CO2-enriched atmospheres , 1990 .

[80]  C. Rosenzweig,et al.  Improved Ground Hydrology Calculations for Global Climate Models (GCMs): Soil Water Movement and Evapotranspiration , 1988 .

[81]  R. Munns,et al.  Soil water status affects the stomatal conductance of fully turgid wheat and sunflower leaves , 1986 .

[82]  H. Lambers,et al.  Respiration for growth, maintenance and ion uptake. An evaluation of concepts, methods, values and their significance , 1983 .

[83]  G. Cimasoni.  [Toward a better integration of biochemistry in the practice of dentistry]. , 1969, Schweizerische Monatsschrift fur Zahnheilkunde = Revue mensuelle suisse d'odonto-stomatologie.

[84]  R. H. Shaw,et al.  Availability of Soil Water to Plants as Affected by Soil Moisture Content and Meteorological Conditions1 , 1962 .

[85]  S S I T C H,et al.  Evaluation of Ecosystem Dynamics, Plant Geography and Terrestrial Carbon Cycling in the Lpj Dynamic Global Vegetation Model , 2022 .