SrasV1, France, Analysis, bibRecord, 000172

A novel method for mapping agricultural intensity reveals its spatial aggregation: Implications for conservation policies

Identifieur interne : 000172 ( France/Analysis ); précédent : 000171; suivant : 000173

A novel method for mapping agricultural intensity reveals its spatial aggregation: Implications for conservation policies

Auteurs : Félix Teillard [France] ; Gilles Allaire [France] ; Eric Cahuzac [France] ; Francois Leger [France] ; Elise Maigne [France] ; Muriel Tichit [France]

Source :

Agriculture, Ecosystems and Environment [ 0167-8809 ] ; 2012.

RBID : Hal:hal-01019792

English descriptors

mix :
- agri-environment scheme, agricultural intensity, biodiversity, environment, indicator, spatial distribution.

Abstract

The objective of this study was to map agricultural intensity on the scale of France with spatial resolution adequate for policy targeting. Using the French Farm Accountancy Data Network (FADN), we computed an intensity indicator based on input costs per ha ("IC/ha"). Common variables between the FADN and four other datasets were included in a two steps multinomial regression to estimate the IC/ha value of each Small Agricultural Region ("SAR", units with homogeneous agro-ecological characteristics with mean width = 22.4 km). The local indicator of spatial association was used to reveal clusters where SARs with homogeneous intensities were aggregated. We showed that the IC/ha indicator displayed a broad intensity gradient where production types were fairly evenly distributed. Multinomial regression models provided a reliable estimate of the intensity indicator (mean cross-validation error = 23%, mean r2 = 0.7) with SAR resolution. At the scale of France and within the two intensity extremes (<300 euros /ha and >500 euros /ha), SARs were significantly aggregated in several clusters. Most low-input SARs were aggregated into a large cluster ranging across several mountainous regions. Less high-input SARs were significantly aggregated. Our results could be used for infra-regional targeting of conservation policies.

Url:

https://hal.archives-ouvertes.fr/hal-01019792

DOI: 10.1016/j.agee.2011.12.018

Affiliations:

France

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000008
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to stream Hal, to step Checkpoint: 000120
to stream Main, to step Merge: 001C30
to stream Main, to step Curation: 001C20
to stream Main, to step Exploration: 001C20
to stream France, to step Extraction: 000172

Links to Exploration step

Hal:hal-01019792

Le document en format XML

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<front><div type="abstract" xml:lang="en">              <p>The objective of this study was to map agricultural intensity on the scale of France with spatial resolution adequate for policy targeting. Using the French Farm Accountancy Data Network (FADN), we computed an intensity indicator based on input costs per ha ("IC/ha"). Common variables between the FADN and four other datasets were included in a two steps multinomial regression to estimate the IC/ha value of each Small Agricultural Region ("SAR", units with homogeneous agro-ecological characteristics with mean width = 22.4 km). The local indicator of spatial association was used to reveal clusters where SARs with homogeneous intensities were aggregated. We showed that the IC/ha indicator displayed a broad intensity gradient where production types were fairly evenly distributed. Multinomial regression models provided a reliable estimate of the intensity indicator (mean cross-validation error = 23%, mean r2 = 0.7) with SAR resolution. At the scale of France and within the two intensity extremes (<300 euros /ha and >500 euros /ha), SARs were significantly aggregated in several clusters. Most low-input SARs were aggregated into a large cluster ranging across several mountainous regions. Less high-input SARs were significantly aggregated. Our results could be used for infra-regional targeting of conservation policies.</p>
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<name sortKey="Cahuzac, Eric" sort="Cahuzac, Eric" uniqKey="Cahuzac E" first="Eric" last="Cahuzac">Eric Cahuzac</name>
<name sortKey="Leger, Francois" sort="Leger, Francois" uniqKey="Leger F" first="Francois" last="Leger">Francois Leger</name>
<name sortKey="Maigne, Elise" sort="Maigne, Elise" uniqKey="Maigne E" first="Elise" last="Maigne">Elise Maigne</name>
<name sortKey="Tichit, Muriel" sort="Tichit, Muriel" uniqKey="Tichit M" first="Muriel" last="Tichit">Muriel Tichit</name>
</country>
</tree>
</affiliations>
</record>

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   |wiki=    Sante
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   |étape=   Analysis
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   |clé=     Hal:hal-01019792
   |texte=   A novel method for mapping agricultural intensity reveals its spatial aggregation: Implications for conservation policies
}}

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A novel method for mapping agricultural intensity reveals its spatial aggregation: Implications for conservation policies

A novel method for mapping agricultural intensity reveals its spatial aggregation: Implications for conservation policies

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Abstract

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