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Climate Dynamics

, Volume 31, Issue 6, pp 691–712 | Cite as

Statistical and dynamical assessment of vegetation feedbacks on climate over the boreal forest

  • Michael NotaroEmail author
  • Zhengyu Liu
Article

Abstract

Vegetation feedbacks over Asiatic Russia are assessed through a combined statistical and dynamical approach in a fully coupled atmosphere–ocean–land model, FOAM-LPJ. The dynamical assessment is comprised of initial value ensemble experiments in which the forest cover fraction is initially reduced over Asiatic Russia, replaced by grass cover, and then the climatic response is determined. The statistical feedback approach, adopted from previous studies of ocean–atmosphere interactions, is applied to compute the feedback of forest cover on subsequent temperature and precipitation in the control simulation. Both methodologies indicate a year-round positive feedback on temperature and precipitation, strongest in spring and moderately substantial in summer. Reduced boreal forest cover enhances the surface albedo, leading to an extended snow season, lower air temperatures, increased atmospheric stability, and enhanced low cloud cover. Changes in the hydrological cycle include diminished transpiration and moisture recycling, supporting a reduction in precipitation. The close agreement in sign and magnitude between the statistical and dynamical feedback assessments testifies to the reliability of the statistical approach. An additional statistical analysis of monthly vegetation feedbacks over Asiatic Russia reveals a robust positive feedback on air temperature of similar quantitative strength in two coupled models, FOAM-LPJ and CAM3–CLM3, and the observational record.

Keywords

Boreal forest Vegetation feedback Temperature Albedo Climate 

Notes

Acknowledgments

This study was funded by the National Science Foundation, National Oceanic and Atmospheric Administration, and Department of Energy and used computer resources from the National Center for Atmospheric Research. The authors are thankful for the CAM3–CLM3 data provided by Dr. Samuel Levis at NCAR, helpful discussions with Dr. Robert Gallimore at UW Madison, and the insightful comments from two anonymous reviewers.

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Center for Climatic ResearchUW MadisonMadisonUSA

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