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A coupled carbon and water flux model to predict vegetation structure

Haxeltine, Axel; Colin, Prentice I. and Creswell, Ian David (1996) In Journal of Vegetation Science 7(5). p.651-666
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 degrees 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... (More)
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 degrees 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. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
potential vegetation, plant type, net primary productivity, map comparison, foliage projective cover, Australia, climate change, soil texture
in
Journal of Vegetation Science
volume
7
issue
5
pages
651 - 666
publisher
International Association of Vegetation Science
external identifiers
  • scopus:0030403480
ISSN
1654-1103
language
English
LU publication?
no
id
869c75de-3b7e-49fa-a740-53f1245d1795 (old id 30798)
date added to LUP
2007-06-19 14:33:08
date last changed
2017-07-30 03:42:06
@article{869c75de-3b7e-49fa-a740-53f1245d1795,
  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 degrees 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.},
  author       = {Haxeltine, Axel and Colin, Prentice I. and Creswell, Ian David},
  issn         = {1654-1103},
  keyword      = {potential vegetation,plant type,net primary productivity,map comparison,foliage projective cover,Australia,climate change,soil texture},
  language     = {eng},
  number       = {5},
  pages        = {651--666},
  publisher    = {International Association of Vegetation Science},
  series       = {Journal of Vegetation Science},
  title        = {A coupled carbon and water flux model to predict vegetation structure},
  volume       = {7},
  year         = {1996},
}