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Including Tropical Croplands in a Terrestrial Biosphere Model. A.Berg (1), N. de Noblet (2), B. Sultan (1) (1) Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques (IPSL), (2) Laboratoire des Sciences du Climat et de l’Environnement (IPSL).
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Including Tropical Croplands in a Terrestrial Biosphere Model A.Berg (1), N. de Noblet (2), B. Sultan (1) (1) Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques (IPSL), (2) Laboratoire des Sciences du Climat et de l’Environnement (IPSL)
The climate / crop system Studying the relationships between climate and agriculture rises two different issues: Agriculture is the most climate-dependant human activity. Impacts are particularly severe in developing countries of tropical regions with low levels of crop management, and exposed to high variability in climate (monsoon systems, el Niño) It is crucial to increase our understanding of how large-scale crop production responds to seasonal and year-to-year large-scale climate variability. Agriculture on a large-scale plays a role in the climate system. Croplands account for 10 to 15% of the global land surface: differing from natural vegetation regarding phenology (sowing, cycle duration) and growth condition (tillage, fertilization,...), they modify surface carbon, water and energy budgets, thus causing feedbacks to climate. It is necessary to account for croplands when modeling climate-biosphere interactions in the climate system.
A relevant framework to consistently address this twofold issue is the extension of existingDynamic Global Vegetation Models (DGVMs) to include an accurate representation of croplands (e.g, Betts et al. 2005, Osborne & al., 2007) • In ORCHIDEE: work initiated by S.Gervois, continued by P.Smith, to develop ORCHIDEE-STICS, a coupling between ORCHIDEE and the crop model STICS (Inra). However: • more or less limited to temperate crops (for now) • numerical consistency, and cost, of this approach ? Need to rapidly include a simpler and more direct formulation of croplands in ORCHIDEE – particularly for tropical crops.
What has already been done: West Africa well illustrates the interactions between crops and climate: - in the frame of the AMMA project - we derive parameterizations for tropical crops from the crop model SARRAH (CIRAD- Dingkuhn et al., 2003), which is already well calibrated and validated over the West African region for tropical cereal (eg, millet and sorghum) – and we include them in ORCHIDEE.
What needs to be done: • Further validate (develop ?) this « ORCH-mil » version over W.A. (paper to be submitted ?) Some pb: millet hydrology landcover map-dependant ! Separate bqsb’s ? Second sowing ? Outlooks: application to seasonal prediction ; analysis of the effects of ALCC on the WA Monsoon. • In a more generic approach of croplands (rice, maize, sugarcane…), define how many «Crop functionnal Types » (CFT) are needed - particularly if vegetation types parameters in ORCHIDEE can be spatialized* ? Can Orch-mil be degraded into a more or less generic crop scheme («vegetative growth / grain filling ») ? *ex: temperate/tropical maize. Then: analysis of production – surface budgets – feedbacks at global scale. Collaboration: N.Vuichard (biofuels), N.Viovy, post-doc.