Journal article Open Access

Estimating net primary productivity from grassland biomass dynamics measurements

Scurlock, J. M. O.; Johnson, K.; Olson, R. J.

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Scurlock, J. M. O.</dc:creator>
  <dc:creator>Johnson, K.</dc:creator>
  <dc:creator>Olson, R. J.</dc:creator>
  <dc:description>To address the need for a high quality data set based upon field observations suitable for parameterization, calibration, and validation of terrestrial biosphere models, we have developed a comprehensive global database on net primary productivity (NPP). We have compiled field measurements of biomass and associated environmental data for multiple study sites in major grassland types worldwide. Where sufficient data were available, we compared aboveground and total NPP estimated by six computational methods (algorithms) for 31 grassland sites. As has been found previously, NPP estimates were 2–5 times higher using methods which accounted for the dynamics of dead matter, compared with what is still the most commonly applied estimate of NPP (maximum peak live biomass). It is suggested that assumptions such as the use of peak biomass as an indicator of NPP in grasslands may apply only within certain subbiomes, e.g. temperate steppe grasslands. Additional data on belowground dynamics, or other reliable estimates of belowground productivity, are required if grasslands are to be fully appreciated for their role in the global carbon cycle.</dc:description>
  <dc:title>Estimating net primary productivity from grassland biomass dynamics measurements</dc:title>
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