Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data

This article develops a new carbon exchange diagnostic model [i.e. Southampton CARbon Flux (SCARF) model] for estimating daily gross primary productivity (GPP). The model exploits the maximum quantum yields of two key photosynthetic pathways (i.e. C3 and C4 ) to estimate the conversion of absorbed photosynthetically active radiation into GPP. Furthermore, this is the first model to use only the fraction of photosynthetically active radiation absorbed by photosynthetic elements of the canopy (i.e. FAPARps ) rather than total canopy, to predict GPP. The GPP predicted by the SCARF model was comparable to in situ GPP measurements (R(2)  > 0.7) in most of the evaluated biomes. Overall, the SCARF model predicted high GPP in regions dominated by forests and croplands, and low GPP in shrublands and dry-grasslands across USA and Europe. The spatial distribution of GPP from the SCARF model over Europe and conterminous USA was comparable to those from the MOD17 GPP product except in regions dominated by croplands. The SCARF model GPP predictions were positively correlated (R(2)  > 0.5) to climatic and biophysical input variables indicating its sensitivity to factors controlling vegetation productivity. The new model has three advantages, first, it prescribes only two quantum yield terms rather than species specific light use efficiency terms; second, it uses only the fraction of PAR absorbed by photosynthetic elements of the canopy (FAPARps ) hence capturing the actual PAR used in photosynthesis; and third, it does not need a detailed land cover map that is a major source of uncertainty in most remote sensing based GPP models. The Sentinel satellites planned for launch in 2014 by the European Space Agency have adequate spectral channels to derive FAPARps at relatively high spatial resolution (20 m). This provides a unique opportunity to produce global GPP operationally using the Southampton CARbon Flux (SCARF) model at high spatial resolution.

[1]  Annette Freibauer,et al.  Winter wheat carbon exchange in Thuringia, Germany , 2004 .

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

[3]  S. Running,et al.  Global Terrestrial Gross and Net Primary Productivity from the Earth Observing System , 2000 .

[4]  E. Schulze,et al.  The influence of climate and fructification on the inter-annual variability of stem growth and net primary productivity in an old-growth, mixed beech forest. , 2010, Tree physiology.

[5]  Philippe Ciais,et al.  Estimating the greenhouse gas fluxes of European grasslands with a process‐based model: 1. Model evaluation from in situ measurements , 2007 .

[6]  K. Schulz,et al.  Identification of a general light use efficiency model for gross primary production , 2010 .

[7]  Jadunandan Dash,et al.  An algorithm to derive the fraction of photosynthetically active radiation absorbed by photosynthetic elements of the canopy (FAPAR(ps)) from eddy covariance flux tower data. , 2013, The New phytologist.

[8]  Andrew E. Suyker,et al.  Year‐round observations of the net ecosystem exchange of carbon dioxide in a native tallgrass prairie , 2001 .

[9]  G. Collatz,et al.  Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer , 1991 .

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

[11]  F. Baret,et al.  Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model , 2005 .

[12]  T. Hiyama,et al.  Seasonality of ecosystem respiration in a double-cropping paddy field in Bangladesh , 2011 .

[13]  S. Verma,et al.  Inversion of net ecosystem CO2 flux measurements for estimation of canopy PAR absorption , 2002 .

[14]  David Y. Hollinger,et al.  Carbon dioxide exchange between an undisturbed old-growth temperate forest and the atmosphere , 1994 .

[15]  F. Veroustraete,et al.  Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data , 2002 .

[16]  Achim Grelle,et al.  Long‐term measurements of boreal forest carbon balance reveal large temperature sensitivity , 1998 .

[17]  W. Cohen,et al.  Evaluation of MODIS NPP and GPP products across multiple biomes. , 2006 .

[18]  Jennifer L. Dungan,et al.  Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 1. Primary production , 2011 .

[19]  T. A. Black,et al.  Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest? , 2009 .

[20]  R. Monson,et al.  Carbon sequestration in a high‐elevation, subalpine forest , 2001 .

[21]  C. D. Keeling,et al.  Increased activity of northern vegetation inferred from atmospheric CO2 measurements , 1996, Nature.

[22]  J. Dash,et al.  The MERIS terrestrial chlorophyll index , 2004 .

[23]  W. Oechel,et al.  On the use of MODIS EVI to assess gross primary productivity of North American ecosystems , 2006 .

[24]  U. Pathre,et al.  Influence of leaf-to-air vapour pressure deficit (VPD) on the biochemistry and physiology of photosynthesis in Prosopis juliflora. , 2004, Journal of experimental botany.

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

[26]  Jadunandan Dash,et al.  The potential of the MERIS Terrestrial Chlorophyll Index for carbon flux estimation , 2010 .

[27]  S. T. Gower,et al.  Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems , 1999 .

[28]  Henry L. Gholz,et al.  Energy exchange across a chronosequence of slash pine forests in Florida , 2002 .

[29]  Gérard Dedieu,et al.  Methodology for the estimation of terrestrial net primary production from remotely sensed data , 1994 .

[30]  Markus Reichstein,et al.  Uncertainties of modeling gross primary productivity over Europe: A systematic study on the effects of using different drivers and terrestrial biosphere models , 2007 .

[31]  Jadunandan Dash,et al.  A new approach for estimating northern peatland gross primary productivity using a satellite‐sensor‐derived chlorophyll index , 2011 .

[32]  Maosheng Zhao,et al.  Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.

[33]  J. Monteith.  SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMS , 1972 .

[34]  R. Leuning.  A critical appraisal of a combined stomatal‐photosynthesis model for C3 plants , 1995 .

[35]  W. Oechel,et al.  Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements , 2001 .

[36]  B. Wylie,et al.  NDVI, C3 AND C4 PRODUCTION, AND DISTRIBUTIONS IN GREAT PLAINS GRASSLAND LAND COVER CLASSES , 1997 .

[37]  Andrew E. Suyker,et al.  Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations , 2011 .

[38]  Ramakrishna R. Nemani,et al.  Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[39]  David P. Turner,et al.  Parameterization of a diagnostic carbon cycle model for continental scale application , 2011 .

[40]  Daniel G. Milchunas,et al.  CO2 ENHANCES PRODUCTIVITY, ALTERS SPECIES COMPOSITION, AND REDUCES DIGESTIBILITY OF SHORTGRASS STEPPE VEGETATION , 2004 .

[41]  T. A. Black,et al.  Reduction in carbon uptake during turn of the century drought in western North America , 2012 .

[42]  J. Dash,et al.  Evaluation of the MERIS terrestrial chlorophyll index , 2004 .

[43]  R. Wheeler,et al.  Leaf senescence of Quercus myrtifolia as affected by long‐term CO2 enrichment in its native environment , 2000 .

[44]  Hans Lambers,et al.  Plant Physiological Ecology , 2000, Springer New York.

[45]  James S. Clark,et al.  Effects of climate and atmospheric CO2 partial pressure on the global distribution of C4 grasses: present, past, and future , 1998, Oecologia.

[46]  Nina Buchmann,et al.  The Carbon Balance of Two Contrasting Mountain Forest Ecosystems in Switzerland: Similar Annual Trends, but Seasonal Differences , 2011, Ecosystems.

[47]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[48]  A. Bondeau,et al.  Comparing global models of terrestrial net primary productivity (NPP): overview and key results , 1999 .

[49]  S. Wofsy,et al.  Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest , 2007 .

[50]  Arnaud Carrara,et al.  Net ecosystem CO2 exchange of mixed forest in Belgium over 5 years , 2003 .

[51]  Eero Nikinmaa,et al.  Developing an empirical model of stand GPP with the LUE approach: analysis of eddy covariance data at five contrasting conifer sites in Europe , 2007 .

[52]  James R. Ehleringer,et al.  Quantum Yields for CO2 Uptake in C3 and C4 Plants: Dependence on Temperature, CO2, and O2 Concentration , 1977 .

[53]  R. Coulter,et al.  Climatology of the Low-Level Jet at the Southern Great Plains Atmospheric Boundary Layer Experiments Site , 2005 .

[54]  H. Schmid,et al.  Respiratory carbon losses and the carbon-use efficiency of a northern hardwood forest, 1999-2003. , 2005, The New phytologist.

[55]  Philippe Ciais,et al.  Estimating the greenhouse gas fluxes of European grasslands with a process‐based model: 2. Simulations at the continental level , 2007 .

[56]  J. Aber,et al.  A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems , 1992, Oecologia.

[57]  F. Miglietta,et al.  Future atmospheric CO2 leads to delayed autumnal senescence , 2007 .

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

[59]  T. Meyers,et al.  An assessment of storage terms in the surface energy balance of maize and soybean , 2004 .

[60]  D. Lawlor,et al.  Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants. , 2002, Plant, cell & environment.

[61]  Yann Kerr,et al.  SMOS: The Mission and the System , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[62]  N. Gobron,et al.  Diagnostic assessment of European gross primary production , 2008 .

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

[64]  Maosheng Zhao,et al.  Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .

[65]  Patrick Gross,et al.  Ten years of fluxes and stand growth in a young beech forest at Hesse, North-eastern France , 2008, Annals of Forest Science.

[66]  Nicholas C. Coops,et al.  Comparison of MODIS gross primary production estimates for forests across the U.S.A. with those generated by a simple process model, 3-PGS , 2007 .

[67]  Ü. Rannik,et al.  Respiration as the main determinant of carbon balance in European forests , 2000, Nature.

[68]  Mark A. Sutton,et al.  Partitioning European grassland net ecosystem CO2 exchange into gross primary productivity and ecosystem respiration using light response function analysis , 2007 .

[69]  J. Ehleringer,et al.  C4 photosynthesis, atmospheric CO2, and climate , 1997, Oecologia.

[70]  Tiexi Chen,et al.  Evaluation of cropland maximum light use efficiency using eddy flux measurements in North America and Europe , 2011 .

[71]  Nuno Carvalhais,et al.  Comparative analysis of MODIS-FAPAR and MERIS-MGVI datasets: potential impacts on ecosystem modeling. , 2009 .

[72]  Atul K. Jain,et al.  A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis , 2012 .

[73]  Gregory P. Asner,et al.  SCALE DEPENDENCE OF ABSORPTION OF PHOTOSYNTHETICALLY ACTIVE RADIATION IN TERRESTRIAL ECOSYSTEMS , 1998 .

[74]  A. Viña,et al.  Remote estimation of canopy chlorophyll content in crops , 2005 .

[75]  J. Monteith.  Climate and the efficiency of crop production in Britain , 1977 .

[76]  Philippe Ciais,et al.  Terrestrial biosphere model performance for inter‐annual variability of land‐atmosphere CO2 exchange , 2012 .

[77]  Jonas Ardö,et al.  Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems , 2010 .

[78]  Maosheng Zhao,et al.  A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production , 2004 .

[79]  Wenjiang Huang,et al.  Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices , 2009 .

[80]  T. Vesala,et al.  Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes , 2007 .

[81]  K. Davis,et al.  Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper Midwest, USA , 2005 .

[82]  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 .

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