Modélisation de l'effet des pratiques agricoles sur la diversité végétale et la valeur agronomique des prairies permanentes en vue de l'élaboration d'indicateurs agri-environnementaux

Abstract : We set out the hypothesis according which it is necessary to elaborate a mathematical model for the prediction of vegetal diversity and of agronomical value of permanent grasslands. The fmal aim is to set up indicators of permanent grassland management according to the agricultural practices applied there. We demonstrate that multiple regression analysis does not allow obtaining effective models of vegetal diversity. Nevertheless, the prediction of pastoral value is rather effective when considering the environmental factors (pH, moisture, etc.). However, these results do not concern the mixed grasslands of Lorraine, because of a weak number of available data. ln order to predict vegetal diversity and agronomic value, we propose a model based on expert systems associated to fuzzy logic. This modelisation is one of the first concrete applications of the theory of functional groups based on life traits of plant species. We show that it is possible to diagnose and predict vegetation (list of vegetal species) and the patrimonial value of grassland, without realizing floristic relevés, by being based only on the life traits already identified in litterature. lndicators are obtained by reporting the model's results on an abacus ofregional values of vegetal diversity and ofpastoral value.
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Theses
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http://docnum.univ-lorraine.fr/prive/INPL_T_2004_PERVANCHON_F.pdf
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https://hal.univ-lorraine.fr/tel-01750055
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Submitted on : Thursday, March 29, 2018 - 12:36:48 PM
Last modification on : Friday, March 30, 2018 - 1:28:41 AM

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Frank Pervanchon. Modélisation de l'effet des pratiques agricoles sur la diversité végétale et la valeur agronomique des prairies permanentes en vue de l'élaboration d'indicateurs agri-environnementaux. Sciences agricoles. Institut National Polytechnique de Lorraine, 2004. Français. ⟨NNT : 2004INPL061N⟩. ⟨tel-01750055⟩

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