AustralieFrV1, PascalFrancis, Corpus, bibRecord, 006299

An approach for simulating the phenology of savanna ecosystems in the Laboratoire de Météorologie Dynamique general circulation model

Identifieur interne : 006299 ( PascalFrancis/Corpus ); précédent : 006298; suivant : 006300

An approach for simulating the phenology of savanna ecosystems in the Laboratoire de Météorologie Dynamique general circulation model

Auteurs : C. Ciret ; J. Polcher ; X. Le Roux

Source :

Global biogeochemical cycles [ 0886-6236 ] ; 1999.

RBID : Pascal:99-0378276

Descripteurs français

Pascal (Inist)
- Production végétale, Développement, Biomasse, Climat, Savane, Zone tropicale, Modèle, Application, Feu végétation, Végétation, Afrique Ouest, Australie, Variation saisonnière, Relation plante atmosphère.

English descriptors

KwdEn :
- Application, Australia, Biomass, Canopy fire, Climate, Development, Models, Plant atmosphere relation, Plant production, Savannah, Seasonal variation, Tropical zone, Vegetation, West Africa.

Abstract

Plant phenology, defined here as the seasonal variations of green and dead biomasses in response to climatic conditions, is an important parameter for the modeling of biophysical exchanges between vegetation and atmosphere. However, the adequate simulation of plant phenology, particularly in tropical regions, is still lacking in current general circulation models (GCMs). This paper proposes a modeling approach to simulate the phenology of savanna grasses in the Laboratoire de Météorologie Dynamique (LMD) GCM. A plant production and phenology model (PPP) is developed to simulate the temporal variations of green and dead aboveground biomasses and leaf area index (LAI) using climate variables computed by the LMD GCM. In addition, the PPP model simulates the occurrence of savanna fire. Predictions are compared to harvest measurements of grasses from two different regions of savanna: the region of Lamto, West Africa, and the region of Victoria River district, northern Australia. Results show that the PPP model generates reasonably realistic plant seasonal variations in these two regions, despite the existing biases in the simulated climate variables. Both the frequency and timing of fire occurrence are, moreover, realistically simulated. This model, linked to the GCM, could be used as a tool to investigate the effects of fire disturbances and short-term (i.e., seasonal and interannual) savanna vegetation feedbacks on climate.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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C07	`02`	`X`	`SPA`	`@0 Oceania @2 NG`
N21				`@1 242`

Format Inist (serveur)

NO :	PASCAL 99-0378276 INIST
ET :	An approach for simulating the phenology of savanna ecosystems in the Laboratoire de Météorologie Dynamique general circulation model
AU :	CIRET (C.); POLCHER (J.); LE ROUX (X.)
AF :	Climatic Impact Centre, Macquarie University/Sydney, New South Wales/Australie (1 aut.); Laboratoire de Météorologie Dynamique, CNRS/Paris/France (2 aut.); Institut Nationale de Recherche Agronomique/Clermont Ferrand/France (3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Global biogeochemical cycles; ISSN 0886-6236; Coden GBCYEP; Etats-Unis; Da. 1999; Vol. 13; No. 2; Pp. 603-621; Bibl. 2 p.
LA :	Anglais
EA :	Plant phenology, defined here as the seasonal variations of green and dead biomasses in response to climatic conditions, is an important parameter for the modeling of biophysical exchanges between vegetation and atmosphere. However, the adequate simulation of plant phenology, particularly in tropical regions, is still lacking in current general circulation models (GCMs). This paper proposes a modeling approach to simulate the phenology of savanna grasses in the Laboratoire de Météorologie Dynamique (LMD) GCM. A plant production and phenology model (PPP) is developed to simulate the temporal variations of green and dead aboveground biomasses and leaf area index (LAI) using climate variables computed by the LMD GCM. In addition, the PPP model simulates the occurrence of savanna fire. Predictions are compared to harvest measurements of grasses from two different regions of savanna: the region of Lamto, West Africa, and the region of Victoria River district, northern Australia. Results show that the PPP model generates reasonably realistic plant seasonal variations in these two regions, despite the existing biases in the simulated climate variables. Both the frequency and timing of fire occurrence are, moreover, realistically simulated. This model, linked to the GCM, could be used as a tool to investigate the effects of fire disturbances and short-term (i.e., seasonal and interannual) savanna vegetation feedbacks on climate.
CC :	002A14B04B
FD :	Production végétale; Développement; Biomasse; Climat; Savane; Zone tropicale; Modèle; Application; Feu végétation; Végétation; Afrique Ouest; Australie; Variation saisonnière; Relation plante atmosphère
FG :	Afrique; Océanie
ED :	Plant production; Development; Biomass; Climate; Savannah; Tropical zone; Models; Application; Canopy fire; Vegetation; West Africa; Australia; Seasonal variation; Plant atmosphere relation
EG :	Africa; Oceania
SD :	Produccíon vegetal; Desarrollo; Biomasa; Clima; Sabana; Zona tropical; Modelo; Aplicación; Fuego vegetación; Vegetación; Africa occidental; Australia; Variación estacional
LO :	INIST-21109.354000085808890210
ID :	99-0378276

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Pascal:99-0378276

Le document en format XML

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<front><div type="abstract" xml:lang="en">Plant phenology, defined here as the seasonal variations of green and dead biomasses in response to climatic conditions, is an important parameter for the modeling of biophysical exchanges between vegetation and atmosphere. However, the adequate simulation of plant phenology, particularly in tropical regions, is still lacking in current general circulation models (GCMs). This paper proposes a modeling approach to simulate the phenology of savanna grasses in the Laboratoire de Météorologie Dynamique (LMD) GCM. A plant production and phenology model (PPP) is developed to simulate the temporal variations of green and dead aboveground biomasses and leaf area index (LAI) using climate variables computed by the LMD GCM. In addition, the PPP model simulates the occurrence of savanna fire. Predictions are compared to harvest measurements of grasses from two different regions of savanna: the region of Lamto, West Africa, and the region of Victoria River district, northern Australia. Results show that the PPP model generates reasonably realistic plant seasonal variations in these two regions, despite the existing biases in the simulated climate variables. Both the frequency and timing of fire occurrence are, moreover, realistically simulated. This model, linked to the GCM, could be used as a tool to investigate the effects of fire disturbances and short-term (i.e., seasonal and interannual) savanna vegetation feedbacks on climate.</div>
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<server><NO>PASCAL 99-0378276 INIST</NO>
<ET>An approach for simulating the phenology of savanna ecosystems in the Laboratoire de Météorologie Dynamique general circulation model</ET>
<AU>CIRET (C.); POLCHER (J.); LE ROUX (X.)</AU>
<AF>Climatic Impact Centre, Macquarie University/Sydney, New South Wales/Australie (1 aut.); Laboratoire de Météorologie Dynamique, CNRS/Paris/France (2 aut.); Institut Nationale de Recherche Agronomique/Clermont Ferrand/France (3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Global biogeochemical cycles; ISSN 0886-6236; Coden GBCYEP; Etats-Unis; Da. 1999; Vol. 13; No. 2; Pp. 603-621; Bibl. 2 p.</SO>
<LA>Anglais</LA>
<EA>Plant phenology, defined here as the seasonal variations of green and dead biomasses in response to climatic conditions, is an important parameter for the modeling of biophysical exchanges between vegetation and atmosphere. However, the adequate simulation of plant phenology, particularly in tropical regions, is still lacking in current general circulation models (GCMs). This paper proposes a modeling approach to simulate the phenology of savanna grasses in the Laboratoire de Météorologie Dynamique (LMD) GCM. A plant production and phenology model (PPP) is developed to simulate the temporal variations of green and dead aboveground biomasses and leaf area index (LAI) using climate variables computed by the LMD GCM. In addition, the PPP model simulates the occurrence of savanna fire. Predictions are compared to harvest measurements of grasses from two different regions of savanna: the region of Lamto, West Africa, and the region of Victoria River district, northern Australia. Results show that the PPP model generates reasonably realistic plant seasonal variations in these two regions, despite the existing biases in the simulated climate variables. Both the frequency and timing of fire occurrence are, moreover, realistically simulated. This model, linked to the GCM, could be used as a tool to investigate the effects of fire disturbances and short-term (i.e., seasonal and interannual) savanna vegetation feedbacks on climate.</EA>
<CC>002A14B04B</CC>
<FD>Production végétale; Développement; Biomasse; Climat; Savane; Zone tropicale; Modèle; Application; Feu végétation; Végétation; Afrique Ouest; Australie; Variation saisonnière; Relation plante atmosphère</FD>
<FG>Afrique; Océanie</FG>
<ED>Plant production; Development; Biomass; Climate; Savannah; Tropical zone; Models; Application; Canopy fire; Vegetation; West Africa; Australia; Seasonal variation; Plant atmosphere relation</ED>
<EG>Africa; Oceania</EG>
<SD>Produccíon vegetal; Desarrollo; Biomasa; Clima; Sabana; Zona tropical; Modelo; Aplicación; Fuego vegetación; Vegetación; Africa occidental; Australia; Variación estacional</SD>
<LO>INIST-21109.354000085808890210</LO>
<ID>99-0378276</ID>
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An approach for simulating the phenology of savanna ecosystems in the Laboratoire de Météorologie Dynamique general circulation model

An approach for simulating the phenology of savanna ecosystems in the Laboratoire de Météorologie Dynamique general circulation model

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