Satellite Remote Sensing of Terrestrial Net Primary Production for the Pan-Arctic Basin and Alaska

  • J. S. Kimball
  • M. Zhao
  • K. C. McDonald
  • S. W. Running
Article

Abstract

We applied a terrestrial net primary production (NPP) model driven by satellite remote sensing observations of vegetation properties and daily surface meteorology from a regional weather forecast model to assess NPP spatial and temporal variability for the pan-Arctic basin and Alaska from 1982 to 2000. Our results show a general decadal trend of increasing NPP for the region of approximately 2.7%, with respective higher (3.4%) and lower (2.2%) rates for North America and Eurasia. NPP is both spatially and temporally dynamic for the region, driven largely by differences in productivity rates among major biomes and temporal changes in photosynthetic canopy structure and spring and summer air temperatures. Mean annual NPP for boreal forests was approximately 3 times greater than for Arctic tundra on a unit area basis and accounted for approximately 55% of total annual carbon sequestration for the region. The timing of growing season onset inferred from regional network measurements of atmospheric CO2 drawdown in spring was inversely proportional to annual NPP calculations. Our findings indicate that recent regional warming trends in spring and summer and associated advances in the growing season are stimulating net photosynthesis and annual carbon sequestration by vegetation at high latitudes, partially mitigating anthropogenic increases in atmospheric CO2. These results also imply that regional sequestration and storage of atmospheric CO2 is being altered, with potentially greater instability and acceleration of the carbon cycle at high latitudes.

Keywords

AVHRR arctic tundra boreal forest carbon cycle climate change NPP 

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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • J. S. Kimball
    • 1
    • 2
  • M. Zhao
    • 2
  • K. C. McDonald
    • 3
  • S. W. Running
    • 2
  1. 1.Flathead Lake Biological Station, Division of Biological SciencesThe University of MontanaPolsonUSA
  2. 2.Numerical Terradynamic Simulation Group, Department of Ecosystem and Conservation SciencesThe University of MontanaMissoulaUSA
  3. 3.Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaUSA

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