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Macro Dynamic Nitrogen balance model of a Farming System (MacDyN-FS) - Code and input data used in Pinsard et al. (2022a)

Authors: Pinsard Corentin; Accatino, Francesco; Martin Sophie;

Macro Dynamic Nitrogen balance model of a Farming System (MacDyN-FS) - Code and input data used in Pinsard et al. (2022a)

Abstract

Model R code and input data used in Pinsard et al. (2022a) "Robust strategies for future meat production and climate change mitigation under imported input constraints in Alentejo, Portugal". The model is a macro dynamic nitrogen balance model of a farming system (MacDyN-FS), adapted from Pinsard et al. (2021) with a greenhouse gas (GHG) balance sub model and a herd dynamics for cattle. The model was used to explore the trade-off between meat production robustness to input import constraints (in a context of global peak oil supply) and net GHG emissions of the beef cattle farming system in Alentejo, Portugal by 2050.

{"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", "Puillet, L., Agabriel, J., Peyraud, J.L., Faverdin, P., 2014. Modelling cattle population as lifetime trajectories driven by management options: A way to better integrate beef and milk production in emissions assessment. Livestock Science 165, 167\u2013180. https://doi.org/10.1016/j.livsci.2014.04.001"]}

Keywords

Potential adaptability, Pareto frontier, Grass-based beef cattle farming system, Food security, Dynamic nitrogen mass balance, Dynamic nitrogen balance model, Climate change mitigation, Global peak oil, Multi-objective optimisation, Sown biodiverse pastures rich in legumes, NSGA II evolutionnary algorithm, Robustness, 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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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