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Landscape regularity modelling for environmental challenges in agriculture

Identifieur interne : 000792 ( PascalFrancis/Curation ); précédent : 000791; suivant : 000793

Landscape regularity modelling for environmental challenges in agriculture

Auteurs : EL GHALI LAZRAK [France] ; Jean-François Mari [France] ; Marc Benoit [France]

Source :

RBID : Pascal:10-0161141

Descripteurs français

English descriptors

Abstract

In agricultural landscapes, methods to identify and describe meaningful landscape patterns play an important role to understand the interaction between landscape organization and ecological processes. We propose an innovative stochastic modelling method of agricultural landscape organization where the temporal regularities in land-use are first identified through recognized Land-Use Successions before locating these successions in landscapes. These time-space regularities within landscapes are extracted using a new data mining method based on Hidden Markov Models. We applied this methodological proposal to the Niort Plain (West of France). We built a temporo-spatial analysis for this case study through spatially explicit analysis of Land-Use Succession dynamics. Implications and perspectives of such an approach, which links together the temporal and the spatial dimensions of the agricultural organization, are discussed by assessing the relationship between the agricultural landscape patterns defined using this approach and ecological data through an illustrative example of bird nests.
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A11 01  1    @1 EL GHALI LAZRAK
A11 02  1    @1 MARI (Jean-François)
A11 03  1    @1 BENOIT (Marc)
A12 01  1    @1 HOUET (Thomas) @9 ed.
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C01 01    ENG  @0 In agricultural landscapes, methods to identify and describe meaningful landscape patterns play an important role to understand the interaction between landscape organization and ecological processes. We propose an innovative stochastic modelling method of agricultural landscape organization where the temporal regularities in land-use are first identified through recognized Land-Use Successions before locating these successions in landscapes. These time-space regularities within landscapes are extracted using a new data mining method based on Hidden Markov Models. We applied this methodological proposal to the Niort Plain (West of France). We built a temporo-spatial analysis for this case study through spatially explicit analysis of Land-Use Succession dynamics. Implications and perspectives of such an approach, which links together the temporal and the spatial dimensions of the agricultural organization, are discussed by assessing the relationship between the agricultural landscape patterns defined using this approach and ecological data through an illustrative example of bird nests.
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N21       @1 102

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Le document en format XML

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