A coupled carbon and water flux model to predict vegetation structure

Axel Haxeltine; Prentice I. Colin; Ian David Creswell

A coupled carbon and water flux model to predict vegetation structure

Axel Haxeltine, Prentice I. Colin, Ian David Creswell

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Sammanfattning

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.

Originalspråk	engelska
Sidor (från-till)	651-666
Tidskrift	Journal of Vegetation Science
Volym	7
Nummer	5
Status	Published - 1996
Externt publicerad	Ja

Bibliografisk information

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)

Ämnesklassifikation (UKÄ)

Ekologi

FN:s Globala mål

Denna forskningsoutput relaterar till följande Globala mål

1 Doktorsavhandling (sammanläggning)

Modelling the vegetation of the Earth
Haxeltine, A., 1996, Plant Ecology and Systematics, Lund University. 22 s.
Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

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@article{869c75de3b7e49faa74053f1245d1795,

title = "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 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.",

keywords = "potential vegetation, plant type, net primary productivity, map comparison, foliage projective cover, Australia, climate change, soil texture",

author = "Axel Haxeltine and Colin, {Prentice I.} and Creswell, {Ian David}",

note = "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)",

year = "1996",

language = "English",

volume = "7",

pages = "651--666",

journal = "Journal of Vegetation Science",

issn = "1654-1103",

publisher = "International Association of Vegetation Science",

number = "5",

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T1 - A coupled carbon and water flux model to predict vegetation structure

AU - Haxeltine, Axel

AU - Colin, Prentice I.

AU - Creswell, Ian David

N1 - 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)

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

KW - potential vegetation

KW - plant type

KW - net primary productivity

KW - map comparison

KW - foliage projective cover

KW - Australia

KW - climate change

KW - soil texture

M3 - Article

SN - 1654-1103

VL - 7

SP - 651

EP - 666

JO - Journal of Vegetation Science

JF - Journal of Vegetation Science

IS - 5

ER -

A coupled carbon and water flux model to predict vegetation structure

Sammanfattning

Bibliografisk information

Ämnesklassifikation (UKÄ)

FN:s Globala mål

Fingeravtryck

Forskningsoutput

Modelling the vegetation of the Earth

Citera det här