Spatial dynamics of farming practices in the Seine basin: Methods for agronomic approaches on a regional scale

Mignolet, Catherine; Schott, Céline; Benoît, Marc

doi:10.1016/j.scitotenv.2006.12.004

Cited by 89 publications

(48 citation statements)

References 18 publications

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“…3e, 4b). In contrast, the peripheral areas of the Paris basin turned to cattle breeding and fell in heterotrophy (see also Billen et al 2007a;Mignolet et al 2007). The 'food-print' of Paris city By equating the food, feed, and firewood requirements of Paris to the potential for commercial export of agricultural products from the rural territory surrounding the city, we can estimate the area of the territory required to meet this urban demand.…”

Section: The Potential For Commercial Export From the Rural Parisian mentioning

confidence: 99%

The food-print of Paris: long-term reconstruction of the nitrogen flows imported into the city from its rural hinterland

et al. 2008

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Between the tenth and twentieth century the population of Paris city increased from a few thousand to near 10 million inhabitants. In response to the growing urban demand during this period, the agrarian systems of the surrounding rural areas tremendously increased their potential for commercial export of agricultural products, made possible by a surplus of agricultural production over local consumption by humans and livestock in these areas. Expressed in terms of nitrogen, the potential for export increased from about 60 kg N/km 2

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Section: The Potential For Commercial Export From the Rural Parisian mentioning

confidence: 99%

The food-print of Paris: long-term reconstruction of the nitrogen flows imported into the city from its rural hinterland

et al. 2008

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“…2). As for meadows and arable lands, a discretisation procedure was carried out according to the diversity of agricultural practices (Mignolet et al 2007, Schott et al 2009). Spatial distribution of the agricultural areas was defined from Passy et al (2013).…”

Section: Diffuse Sourcesmentioning

confidence: 99%

Eutrophication modelling chain for improved management strategies to prevent algal blooms in the Bay of Seine

Passy¹,

Gendre²,

Garnier³

et al. 2016

Mar. Ecol. Prog. Ser.

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“…Therefore, 4-year successions appear to be the shortest HMM2 elementary observation symbol suitable for modelling LUS within the Niort Plain landscape. The choice for the elementary observation can also be set by domain specialists based on previous works (Le Mignolet et al, 2007 Table 2. Composition and average frequencies of adopted LU categories agricultural dynamics through 3-year LUS.…”

Section: Choice Of the Elementary Observationmentioning

confidence: 99%

Using Markov Models to Mine Temporal and Spatial Data

Mari¹,

Ber²,

Lazrak

et al. 2011

New Fundamental Technologies in Data Mining

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Spatial dynamics of farming practices in the Seine basin: Methods for agronomic approaches on a regional scale

Cited by 89 publications

References 18 publications

The food-print of Paris: long-term reconstruction of the nitrogen flows imported into the city from its rural hinterland

The food-print of Paris: long-term reconstruction of the nitrogen flows imported into the city from its rural hinterland

Eutrophication modelling chain for improved management strategies to prevent algal blooms in the Bay of Seine

Using Markov Models to Mine Temporal and Spatial Data

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