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A neutral model for the simulation of linear networks in territories

Abstract : A landscape matrix is the support of biotic and abiotic flows, and in that sense, requires increased interest from ecological modellers. This matrix is partly composed of linear elements, such as roads and field borders, that delimit land uses and are the result of socio-economic drivers. The geometrical properties of these elements could affect flows of water bodies, fauna, and flora. A large amount of research on landscape matrix simulation has been conducted using neutral models, but the efforts have been limited to 1 km(2) and have been principally devoted to field borders. However, simulating largest territories in neutral models requires consideration of supplementary elements, such as road networks. Furthermore, the sinuosities of the linear elements in territories have rarely been considered per se. We proposed a hierarchical model based on successive imbrication of deformed networks, with the deformation being realized on the basis of a reverse Douglas-Peucker algorithm. We first isolated the hierarchical levels of the landscape and analyzed their relative deformations. Then we constructed the hierarchical model and we tested it on a real territory in the Mediterranean zone. Its structural realism was tested against other common neutral models using the pattern-oriented modelling approach. The hierarchical model was the only neutral model able to represent simultaneously the variabilities of three patterns having implications in ecological processes: polyline lengths, sinuosities and polygon areas. Possible improvements of the model to address non-stationary processes and its potential for implementing geoprospective scenarios are discussed.
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https://hal.inrae.fr/hal-02627898
Déposant : Migration Prodinra <>
Soumis le : mardi 26 mai 2020 - 21:31:29
Dernière modification le : mercredi 16 septembre 2020 - 17:37:25

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Fabrice Vinatier, Michel Chauvet. A neutral model for the simulation of linear networks in territories. Ecological Modelling, Elsevier, 2017, 363, pp.8-16. ⟨10.1016/j.ecolmodel.2017.08.022⟩. ⟨hal-02627898⟩

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