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A size-distribution-based model of forest dynamics along a latitudinal environmental gradient

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Global change and terrestrial ecosystems in monsoon Asia

Part of the book series: Tasks for Vegetation Science ((TAVS,volume 33))

Abstract

A geographically extended model of the dynamics of tree size structure of forests is proposed to simulate the change of forest zonation along latitude in response to global environmental change. To predict the response of forests to global change, it is necessary to construct functional models of forest tree populations. The size-structurebased model requires far less memory and steps of calculation compared with individual-based models, and it is easy to incorporate the dimension of geographic locations into the model to describe large-scale dynamics of forest-type distributions. The effect of increasing size growth rate, expected from increasing atmospheric carbon dioxide, was diminished at the stand-level basal area density, because of regulation by one-sided competition. Model simulations of a century-long global warming at around 3 0C predicted that (1) biomass changed in resident forests rather simultaneously in response to warming, and that (2) there was a considerable time lag in movement at the boundaries of different forest types, particularly under the existence of resident forest types that would be finally replaced. It required several thousand years after a century-long warming spell for forest types to attain new steady-state distributions after shifting. As a consequence, global warming created a zigzag pattern of biomass distribution along a latitudinal gradient, i.e., an increase in the cooler-side boundary of forest types and a decrease in the warmer-side boundary.

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T. Hirose B. H. Walker

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© 1995 Springer Science+Business Media Dordrecht

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Kohyama, T., Shigesada, N. (1995). A size-distribution-based model of forest dynamics along a latitudinal environmental gradient. In: Hirose, T., Walker, B.H. (eds) Global change and terrestrial ecosystems in monsoon Asia. Tasks for Vegetation Science, vol 33. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0343-5_11

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  • DOI: https://doi.org/10.1007/978-94-011-0343-5_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4152-2

  • Online ISBN: 978-94-011-0343-5

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