Landscape regularity modelling for environmental challenges in agriculture
Identifieur interne : 001D19 ( Istex/Corpus ); précédent : 001D18; suivant : 001D20Landscape regularity modelling for environmental challenges in agriculture
Auteurs : El Ghali Lazrak ; Jean-François Mari ; Marc BenoîtSource :
- Landscape Ecology [ 0921-2973 ] ; 2010-02-01.
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- KwdEn :
Abstract
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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DOI: 10.1007/s10980-009-9399-8
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ISTEX:7D2A1A5695889244A9E15F76EF23F7F9CEEEC81ELe document en format XML
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