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| Format: | Artículo científico |
| Language: | en |
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Universidade Estadual de Maringá
2008
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| Online Access: | https://www.redalyc.org/articulo.oa?id=303126492003 |
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Table of Contents:
- Development of a functional approach in a grassland vegetation sub-model Enio Egon Sosinski Júnior Pascal Carrère Frédérique Louault Jean-François Soussana Agrociencias models simulation Extensification grassland vegetation functional attributes To improve our understanding of grassland dynamics under different levels of utilization, a functional description of the vegetation was introduced in a deterministic model. The selected traits and their parameterization were based on the results of a longterm experiment in which temperate grasslands were managed for 12 years with three levels of herbage use: high, medium and low. The integration of functional attributes of the community species within the model’s parameters can be seen as a new step in the study of the grassland ecosystem. With this tool, it is possible to decrease the number of interconnections in the system and consequently decrease the complexity. In this work a, functional definition of three different grassland communities was introduced into the subvegetation model. This was done by interchanging the model’s parameters with the functional attributes of the communities. From the conceptual point of view, the subvegetation model works adequately and it seems suitable to simulate the dynamic of grassland vegetation described by functional traits. The model fits experimental data well for high levels of utilization, but was poorly adjusted at medium and low levels of herbage use. We believe this is due to a better simulation of green biomass fluxes than for senescence or reproductive fluxes. Some possible improvements of the model are discussed. 2008 artículo científico 1806-2636 https://www.redalyc.org/articulo.oa?id=303126492003 en http://www.redalyc.org/revista.oa?id=3031 Acta Scientiarum. Animal Sciences application/pdf Universidade Estadual de Maringá Acta Scientiarum. Animal Sciences (Brasil) Num.2 Vol.30