Skip to content
naulon
Not checkedNot checked for notices yet.

Development of a functional approach in a grassland vegetation - DOI: 10.4025/actascianimsci.v30i2.4679

Enio Egon Sosinski Junior, Pascal Carrère, Frédérique Louault and 1 more

Acta Scientiarum: Animal Sciences · 2008

doi:10.4025/actascianimsci.v30i2.4679 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

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 long-term 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 sub-vegetation model. This was done by interchanging the model’s parameters with the functional attributes of the communities. From the conceptual point of view, the sub-vegetation 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.

Abstract licence: CC BY

References12

    12 more references, whose wording the paper’s licence keeps private.

    Reads

    Read by people on this page

    None yet.

    Checked or read by AI through naulon

    None yet.

    A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

    Are you an author?

    Is this your paper?

    Claim it to add your note and be paid when agents cite it. Free.