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Macro Dynamic Nitrogen balance model of a Farming System (MacDyN-FS) - Code and input data used in Pinsard and Accatino (2023)

Authors: Corentin, Pinsard; Accatino Francesco;

Macro Dynamic Nitrogen balance model of a Farming System (MacDyN-FS) - Code and input data used in Pinsard and Accatino (2023)

Abstract

Model R code and input data used in Pinsard and Accatino (2023) "European agriculture's robustness to input supply declines: a French case study". The model is a macro dynamic nitrogen balance model of a farming system (MacDyN-FS), adapted from Pinsard et al. (2021). The model was used to calculate the robustness of French farming systems to a joint decline in the availability of supplied synthetic fertiliser and feed over 30 years and to explore the links between levels of robustness and the crop-grassland-livestock composition of these farming systems.

{"references": ["Pinsard, C., Martin, S., L\u00e9ger, F., Accatino, F., 2021. Robustness to import declines of three types of European farming systems assessed with a dynamic nitrogen flow model. Agricultural Systems 193, 103215. https://doi.org/10.1016/j.agsy.2021.103215"]}

Keywords

Agricultural production, Global peak oil, Robustness, Farming system typology, Dynamic nitrogen balance model, Input supply constraints

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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