Management flexibility of a grassland agroecosystem: A modeling approach based on viability theory

Sabatier, Rodolphe; Oates, Lawrence G.; Jackson, Randall D.

doi:10.1016/j.agsy.2015.06.008

Cited by 16 publications

(7 citation statements)

References 24 publications

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“…In this aim, we combined multi-simulations with a viability-based approach, similar to that described by Sabatier et al (2015), to assess the robustness of the decision rules. Our method was sought to achieve a compromise between the risk of N losses following the application of fertilizer in non-optimal conditions for valorization, and the risk of damaging yield with detrimental N deficiency, taking into account of the weather uncertainty.…”

Section: An Innovative Model-based Methods To Manage N Fertilizationmentioning

confidence: 99%

“…Following Sabatier et al (2015), we used the mathematical framework of the viability theory to compute metrics of robustness. Robustness was defined as the proportion of weather scenarios for which there is at least one sequence of N fertilizer application timing and rates (Nt, Nt+1,…NT) that keeps the stochastic dynamic system within the set of constraints (Eq.2 and Eq.3) over time.…”

Section: Simulations and Analysesmentioning

confidence: 99%

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Decision rules for managing N fertilization based on model simulations and viability assessment

Ravier

Sabatier

Beillouin

et al. 2021

European Journal of Agronomy

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Section: An Innovative Model-based Methods To Manage N Fertilizationmentioning

confidence: 99%

Section: Simulations and Analysesmentioning

confidence: 99%

Decision rules for managing N fertilization based on model simulations and viability assessment

Ravier

Sabatier

Beillouin

et al. 2021

European Journal of Agronomy

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“…In this way, uncertainty is no longer considered as marginal noise around predictable dynamics but rather as a core element of the dynamics. When adopting this perspective, properties such as resilience (Tittonell 2020), vulnerability (Bouttes et al 2019a), viability (Sabatier et al 2015) or robustness (ten Napel et al 2011) become as important as productivity when assessing system performance. Thus, studies of agroecological systems increasingly focus on the ability of different system configurations to address uncertainty (e.g., Paut et al 2020;Benoit et al 2020).…”

Section: Innovative Research Pathsmentioning

confidence: 99%

Key research challenges to supporting farm transitions to agroecology in advanced economies. A review

Prost

Martin

Ballot

et al. 2023

Agron. Sustain. Dev.

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In response to the sustainability issues that agriculture faces in advanced economies, agroecology has gained increasing relevance in scientific, political, and social debates. This has promoted discussion about transitions to agroecology, which represents a significant advancement. Accordingly, it has become a growing field of research. We reviewed the literature on and in support of farm transitions to agroecology in advanced economies in order to identify key research challenges and suggest innovative research paths. Our findings can be summarized as follows: (1) Research that supports exploration and definition of desired futures, whether based on future-oriented modeling or expert-based foresight approaches, should more explicitly include the farm level. It should stimulate the creativity and design ability of farmers and other stakeholders, and also address issues of representation and power among them. (2) Research that creates awareness and assesses farms before, during or after transition requires more holistic and dynamic assessment frameworks. These frameworks need to be more flexible to adapt to the diversity of global and local challenges. Their assessment should explicitly include uncertainty due to the feedback loops and emergent properties of transitions. (3) Research that analyzes and supports farms during transition should focus more on the dynamics of change processes by valuing what happens on the farms. Research should especially give more credence to on-farm experiments conducted by farmers and develop new tools and methods (e.g., for strategic monitoring) to support these transitions. This is the first review of scientific studies of farm transitions to agroecology. Overall, the review indicates that these transitions challenge the system boundaries, temporal horizons, and sustainability dimensions that agricultural researchers usually consider. In this context, farm transitions to agroecology require changes in the current organization and funding of research in order to encourage longer term and more adaptive configurations.

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“…Recently, the research on viability [1] has attracted extensive attention, and viability theory has seen its application in economics [2], finance [3], grassland agroecosystem [4], aerospace [5], robot control [6], and renewable resources management [7][8][9]. Viability concerns the dynamic adaptation of evolutionary systems to an environment defined by constraints.…”

Section: Introductionmentioning

confidence: 99%

On the computation of the robust viability kernel for switched systems

Zhao

Gao

et al. 2023

Asian Journal of Control

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This paper presents an algorithm of computing the robust viability kernel for discrete‐time switched systems with arbitrary switching rule and bounded disturbance based on the robust one‐step set and Pontryagin difference. The algorithm can be implemented by performing the relevant set computations using polyhedral algebra and computational geometry software when switched systems are linear. In addition, we propose a method of computing inner approximation of the robust viability kernel for switched systems based on the set theory. The convergence of the iterative algorithm is proved using a null controllable set. Finally, two examples are provided to show the effectiveness of the proposed method.

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Management flexibility of a grassland agroecosystem: A modeling approach based on viability theory

Cited by 16 publications

References 24 publications

Decision rules for managing N fertilization based on model simulations and viability assessment

Decision rules for managing N fertilization based on model simulations and viability assessment

Key research challenges to supporting farm transitions to agroecology in advanced economies. A review

On the computation of the robust viability kernel for switched systems

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