A coupled carbon and water flux model to predict vegetation structure

A coupled carbon and water flux model to predict vegetation structure Abstract. A coupled carbon and water flux model (BIOME2) captures the broad‐scale environmental controls on the natural distribution of vegetation structural and phenological types in Australia. Model input consists of latitude, soil type, and mean monthly climate (temperature, precipitation, and sunshine hours) data on a 1/10° grid. Model output consists of foliage projective cover (FPC) for the quantitative combination of plant types that maximizes net primary production (NPP). The model realistically simulates changes in FPC along moisture gradients as a consequence of the trade‐off between light capture and water stress. A two‐layer soil hydrology model also allows simulation of the competitive balance between grass and woody vegetation including the strong effects of soil texture. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Vegetation Science Wiley

A coupled carbon and water flux model to predict vegetation structure

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Publisher
Wiley
Copyright
1996 IAVS ‐ the International Association of Vegetation Science
ISSN
1100-9233
eISSN
1654-1103
DOI
10.2307/3236377
Publisher site
See Article on Publisher Site

Abstract

Abstract. A coupled carbon and water flux model (BIOME2) captures the broad‐scale environmental controls on the natural distribution of vegetation structural and phenological types in Australia. Model input consists of latitude, soil type, and mean monthly climate (temperature, precipitation, and sunshine hours) data on a 1/10° grid. Model output consists of foliage projective cover (FPC) for the quantitative combination of plant types that maximizes net primary production (NPP). The model realistically simulates changes in FPC along moisture gradients as a consequence of the trade‐off between light capture and water stress. A two‐layer soil hydrology model also allows simulation of the competitive balance between grass and woody vegetation including the strong effects of soil texture.

Journal

Journal of Vegetation ScienceWiley

Published: Oct 1, 1996

References

  • A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils
    Cosby, Cosby; Hornberger, Hornberger; Clapp, Clapp; Ginn, Ginn
  • Water‐limited equilibrium of savanna vegetation systems
    Eagleson, Eagleson; Segarra, Segarra
  • Implications of quantum yield differences on the distribution of C 3 and C 4 grasses
    Ehleringer, Ehleringer
  • Evolutionary and ecological aspects of photosynthetic pathway variation
    Ehleringer, Ehleringer; Monson, Monson
  • Transpirational supply and demand: Plant soil and atmospheric effects evaluated by simulation
    Federer, Federer
  • The distribution of C 3 and C 4 grasses in Australia in relation to climate
    Hattersley, Hattersley
  • A global perspective of regional vegetation and hydrologic sensitivities from climate change
    Neilson, Neilson; Marks, Marks

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