Impact of satellite based PAR on estimates of terrestrial net primary productivity

Biospheric productivity regulates the supply of food for mankind and therefore, there is a need to estimate its magnitude. The productivity is controlled by the process of photosynthesis driven by solar radiation, primarily in the visible part of the spectrum (0.4–0.7 μm), known as the photosynthetically active radiation (PAR). Current methods to estimate terrestrial net primary production (NPP) use remotely sensed information on vegetation dynamics. Satellite based estimates of PAR are available at a global scale but have seldom been used for estimating NPP. In this study we show that the use of PAR information from satellites does have an impact on estimates of NPP and that there are detectable differences when compared to similar estimates based on conventional PAR information. Net primary production tends to be higher when compared to estimates based on total shortwave (SW) radiation with PAR assumed to be a constant fraction of SW. We focus on the United States during 2004. Net primary production is generally underestimated in regions with mesic environment while overestimated in areas with xeric environment. The most pronounced underestimated region is the southeast United States. The study demonstrates the usefulness of the satellite-based estimates of PAR for modelling terrestrial primary productivity.

[1]  D. Hodáňová An introduction to environmental biophysics , 1979, Biologia Plantarum.

[2]  C. Long,et al.  SURFRAD—A National Surface Radiation Budget Network for Atmospheric Research , 2000 .

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

[4]  Houghton,et al.  The U.S. Carbon budget: contributions from land-Use change , 1999, Science.

[5]  Scott J. Goetz,et al.  Remotely Sensed Interannual Variations and Trends in Terrestrial Net Primary Productivity 1981–2000 , 2004, Ecosystems.

[6]  B. McArthur,et al.  Baseline surface radiation network (BSRN/WCRP) New precision radiometry for climate research , 1998 .

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

[8]  Rachel T. Pinker,et al.  Shortwave radiative fluxes from MODIS: Model development and implementation , 2009 .

[9]  Dennis D. Baldocchi,et al.  On using eco-physiological, micrometeorological and biogeochemical theory to evaluate carbon dioxide, water vapor and trace gas fluxes over vegetation: a perspective , 1998 .

[10]  Shunlin Liang,et al.  Estimation of daily-integrated PAR from sparse satellite observations: comparison of temporal scaling methods , 2010 .

[11]  Maosheng Zhao,et al.  Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .

[12]  Trevor Platt,et al.  Primary production of the ocean water column as a function of surface light intensity: algorithms for remote sensing , 1986 .

[13]  I. C. Prentice,et al.  Carbon balance of the terrestrial biosphere in the Twentieth Century: Analyses of CO2, climate and land use effects with four process‐based ecosystem models , 2001 .

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

[15]  Michael G. Bosilovich,et al.  Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System, Version 4 , 2005 .

[16]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[17]  H. Tian,et al.  Contribution of increasing CO2 and climate change to the carbon cycle in China's ecosystems , 2008 .

[18]  J. H. M. Thornley,et al.  Modelling the Components of Plant Respiration: Some Guiding Principles , 2000 .

[19]  W. Cramer,et al.  A global biome model based on plant physiology and dominance, soil properties and climate , 1992 .

[20]  S. Running,et al.  Contrasting Climatic Controls on the Estimated Productivity of Global Terrestrial Biomes , 1998, Ecosystems.

[21]  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.

[22]  F. X. Kneizys,et al.  Atmospheric transmittance/radiance: Computer code LOWTRAN 5 , 1978 .

[23]  M. G. Ryan,et al.  Effects of Climate Change on Plant Respiration. , 1991, Ecological applications : a publication of the Ecological Society of America.

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

[25]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[26]  J. Randerson,et al.  Trends in North American net primary productivity derived from satellite observations, 1982–1998 , 2002 .

[27]  J. Wiscombe,et al.  The Delta-Eddington Approximation for a Vertically Inhomogeneous Atmosphere , 1977 .

[28]  Jeffrey A. Hicke,et al.  NCEP and GISS solar radiation data sets available for ecosystem modeling: Description, differences, and impacts on net primary production , 2005 .

[29]  Patrick E. Van Laake,et al.  Simplified atmospheric radiative transfer modelling for estimating incident PAR using MODIS atmosphere products , 2004 .

[30]  David A. Siegel,et al.  Climate-driven trends in contemporary ocean productivity , 2006, Nature.

[31]  Pang-Ning Tan,et al.  Continental-scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982–1998 , 2003 .

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

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

[34]  S. Running,et al.  Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .

[35]  Steven W. Running,et al.  Evaluating water stress controls on primary production in biogeochemical and remote sensing based models , 2007 .

[36]  Joseph J. Michalsky,et al.  An Update on SURFRAD—The GCOS Surface Radiation Budget Network for the Continental United States , 2005 .