A coupled carbon and water flux model to predict vegetation structure
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/30798
- author
- Haxeltine, Axel ; Colin, Prentice I. and Creswell, Ian David
- publishing date
- 1996
- 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
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Department of Ecology (Closed 2011) (011006010)
- id
- 869c75de-3b7e-49fa-a740-53f1245d1795 (old id 30798)
- date added to LUP
- 2016-04-01 12:04:20
- date last changed
- 2022-02-18 17:33:16
@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}},
keywords = {{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}},
}