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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 12
Biogeosciences, 8, 3677–3686, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 8, 3677–3686, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Dec 2011

Research article | 15 Dec 2011

A model investigation of vegetation-atmosphere interactions on a millennial timescale

N. Devaraju1, L. Cao2, G. Bala1, K. Caldeira2, and R. Nemani3 N. Devaraju et al.
  • 1Divecha Center for Climate Change and Center for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore-560012, India
  • 2Department of Global Ecology, Carnegie Institution, 260 Panama Street, Stanford, CA 94305, USA
  • 3NASA Ames Research Center, Moffett Field, CA 94035, USA

Abstract. A terrestrial biosphere model with dynamic vegetation capability, Integrated Biosphere Simulator (IBIS2), coupled to the NCAR Community Atmosphere Model (CAM2) is used to investigate the multiple climate-forest equilibrium states of the climate system. A 1000-year control simulation and another 1000-year land cover change simulation that consisted of global deforestation for 100 years followed by re-growth of forests for the subsequent 900 years were performed. After several centuries of interactive climate-vegetation dynamics, the land cover change simulation converged to essentially the same climate state as the control simulation. However, the climate system takes about a millennium to reach the control forest state. In the absence of deep ocean feedbacks in our model, the millennial time scale for converging to the original climate state is dictated by long time scales of the vegetation dynamics in the northern high latitudes. Our idealized modeling study suggests that the equilibrium state reached after complete global deforestation followed by re-growth of forests is unlikely to be distinguishable from the control climate. The real world, however, could have multiple climate-forest states since our modeling study is unlikely to have represented all the essential ecological processes (e.g. altered fire regimes, seed sources and seedling establishment dynamics) for the re-establishment of major biomes.

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