Indicateurs de durabilité et changement d'échelle : biais de calcul dus à l'utilisation de données génériques
Abstract
Assessing the sustainability of systems at the level of agricultural territories requires consideration of methodological issues relating to scaling up, which concern both data collection and the indicators to be used at the higher level. The scientific interest group Grandes Cultures initiated a work in 2024 to measure potential biases introduced by the use of generic data in the individual and collective assessment of a group of farms. The study aimed to estimate the impact of descriptive data sources on farms’ equipment stock - both actual and standardised - on the value of two indicators: net margin and greenhouse emissions (GHG). The initial results of the study are encouraging. The use of standard data for the machinery has a negligible effect on the GHG emissions. Standardised costs for crop production operations only slightly distort the net margin results at the group level and could therefore be used in studies at this level. This study highlights that the use of standard data provides a representative basis for quantifying the selected indicators The next step will be to extend this work to other indicators and datasets (e.g. technical itinerary data).
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BibTeX
@article{casal2026indicateurs,
title = {{Indicateurs de durabilité et changement d'échelle : biais de calcul dus à l'utilisation de données génériques}},
author = {Laurène Casal and Eva Galano and Frédérique Angevin and Clotilde Rouillon and Olivier Therond and Christian Bockstaller},
journal = {Innovations Agronomiques},
year = {2026},
month = oct,
doi = {10.17180/ciag-2026-vol115-art07},
url = {https://hal.inrae.fr/hal-05807536v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Indicateurs de durabilité et changement d'échelle : biais de calcul dus à l'utilisation de données génériques
AU - Laurène Casal
AU - Eva Galano
AU - Frédérique Angevin
AU - Clotilde Rouillon
AU - Olivier Therond
AU - Christian Bockstaller
PY - 2026
DA - 2026/10/19
JO - Innovations Agronomiques
DO - 10.17180/ciag-2026-vol115-art07
UR - https://hal.inrae.fr/hal-05807536v1
AB - Assessing the sustainability of systems at the level of agricultural territories requires consideration of methodological issues relating to scaling up, which concern both data collection and the indicators to be used at the higher level. The scientific interest group Grandes Cultures initiated a work in 2024 to measure potential biases introduced by the use of generic data in the individual and collective assessment of a group of farms. The study aimed to estimate the impact of descriptive data sources on farms’ equipment stock - both actual and standardised - on the value of two indicators: net margin and greenhouse emissions (GHG). The initial results of the study are encouraging. The use of standard data for the machinery has a negligible effect on the GHG emissions. Standardised costs for crop production operations only slightly distort the net margin results at the group level and could therefore be used in studies at this level. This study highlights that the use of standard data provides a representative basis for quantifying the selected indicators The next step will be to extend this work to other indicators and datasets (e.g. technical itinerary data).
SN - 1958-5853
SN - 1958-5853
ER -