lexiconUpscaling sustainability indicators: calculation bias due to the use of generic data
2025 · Arvalis
The scale of the plot or the farm is the level most commonly used by agronomists to carry out multicriteria assessments, but agriculture is facing now issues that go beyond those scales and require a territorial approach: adaptation to climate change, management of natural resources, preservation of biodiversity, local food sovereignty, multifunctionality... Assessing the sustainability of systems on the scale of agricultural territories requires tackling upscaling issues (Ewert et al., 2011; Stein et al., 2001). Specifically, this territorial scale raises questions about the acquisition of input data, which is time-consuming when acquired at field level. Generic datasets generated at different scales (NUTS 2 or 3) are readily available, containing data on crop rotation, technical itineraries, costs of cultivation operations, ... and would simplify the acquisition of data. Nevertheless, using a dataset with generic data may induce bias in assessment model outputs and calculation of indicators (Bechini et al., 2011). This study aims at evaluating the potential bias introduced using generic data on the individual and collective assessment of a group of farms.
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- Projet : Programme transversal 2025 « MULTIPERF : Atteindre la MULTIPERFormance des systèmes de production en valorisant les synergies entre ateliers et entre acteurs »
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