A systematic approach to identifying key parameters and processes in agroecosystem models

Myrgiotis, Vasileios; Rees, Robert M.; Topp, Cairistiona F. E.; Williams, Mathew

doi:10.1016/j.ecolmodel.2017.12.009

Cited by 8 publications

(7 citation statements)

References 46 publications

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“…The models' performances for simulating nitrification, denitrification and N 2 O emissions indicates that processes and parameters governing management practices, crop growth, and water fluxes in each model show large differences and strongly influence the simulations of soil microbes, soil N, SOC, soil temperature, soil pH and soil water availability [183,184]. These environmental factors further affect the rates of nitrification, denitrification and N 2 O emissions as discussed in chapter 2.…”

Section: Denitrification Processesmentioning

confidence: 99%

Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review

et al. 2021

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Nitrous oxide (N2O) is a long-lived greenhouse gas that contributes to global warming. Emissions of N2O mainly stem from agricultural soils. This review highlights the principal factors from peer-reviewed literature affecting N2O emissions from agricultural soils, by grouping the factors into three categories: environmental, management and measurement. Within these categories, each impact factor is explained in detail and its influence on N2O emissions from the soil is summarized. It is also shown how each impact factor influences other impact factors. Process-based simulation models used for estimating N2O emissions are reviewed regarding their ability to consider the impact factors in simulating N2O. The model strengths and weaknesses in simulating N2O emissions from managed soils are summarized. Finally, three selected process-based simulation models (Daily Century (DAYCENT), DeNitrification-DeComposition (DNDC), and Soil and Water Assessment Tool (SWAT)) are discussed that are widely used to simulate N2O emissions from cropping systems. Their ability to simulate N2O emissions is evaluated by describing the model components that are relevant to N2O processes and their representation in the model.

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Section: Denitrification Processesmentioning

confidence: 99%

Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review

et al. 2021

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“…Modelo conceptual (Peterson et al, 2017) Modelo (Blanco et al, 2017) Modelo cuantitativo (Sabatier et al, 2017) Modelo de simulación (Peterson et al, 2018) Modelo computacional (Myrgiotis et al, 2018) ¿Cómo se decide llamar a quien toma las decisiones en el agroecosistema?…”

Section: Resultados Y Discusiónunclassified

Agroecosystem and rural tourism: Bibliometric analysis and its conceptual relationship from 2014 to 2020

Campos-Pulido¹,

Pérez-Vázquez²,

López³

et al. 2020

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Objective: Analyze scientific papers close linked to the concepts of agroecosystems, rural tourism and its conceptual relationship. Design/methodology/approach: A search of papers published from 2014 up to 2020 in Science Direct (https://www.sciencedirect.com) was conducted, using key words related to the agroecosystem concept and rural tourism. Later, a bibliometric and text analysis was performed. Results: The concept of agroecosystems has been dynamic through time and related to other disciplines. However, research relating this concept with rural tourism is scarce. Limitations of the study/implication: Research proposals on agroecosystems associated to rural tourism are limited. Findings/Conclusions: Papers with the conceptual evolution of agroecosystems integrating rural tourism are scarce. So, it is suggested to study the agroecosystem in its different aspects, but considering their cultural and historical basis

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“…Future analysis may be needed to evaluate structural and stakeholder uncertainty. Structural uncertainty, which is uncertainty resulting from the decision models' structure, can be addressed by evaluating the models with different architectures (Myrgiotis et al 2018). A variance-based sensitivity analysis for nonorthogonal input factors can be used to measure stakeholder preferences' impact on specific criteria (Saltelli 2004).…”

Section: Making Final Decisionsmentioning

confidence: 99%

Assessing Uncertainty in Multicriteria Evaluation of Centralized and Decentralized Dual Water Supply Strategies

Cole

Sharvelle

Arabi

2022

J. Water Resour. Plann. Manage.

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As much of our urban water supply infrastructure reaches the end of its useful life, water managers are using the opportunity to explore alternative strategies that enable them also to utilize alternative local water sources (e.g., untreated raw water, reclaimed water, graywater, and stormwater). However, evaluating alternative strategies is challenging because water managers are required to balance the needs of multiple stakeholders, consider all the costs and benefits, reduce risks, and, most importantly, ensure public health and protect the environment. Here, the benefits and trade-offs of dual supply of raw and treated water were assessed with consideration of centralized and decentralized options. The study resulted in a complex decision process involving 45 performance indicators and 17 stakeholders. Uncertainty and global sensitivity analyses were applied to the study's decision models to assess the reliability of the results given long-term uncertainty, improve transparency in the decision process, and elucidate the benefits and trade-offs of alternatives for dual supply of raw and treated water. The key drivers of model variance were regulatory and political, including access to alternative nonpotable water sources in the future, the ability to sell potable water to adjacent utilities, and the possibility of cost savings by avoiding the need for water rights conversion. Although technical considerations are important, the results reveal the importance of addressing regulatory uncertainty related to dual water supply systems and decentralized water systems. The decentralized alternatives were particularly sensitive to uncertainty in regulatory risks. Resolving these issues highlights the importance of including a wide range of local, regional, and regulatory stakeholders in the decision process.

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A systematic approach to identifying key parameters and processes in agroecosystem models

Cited by 8 publications

References 46 publications

Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review

Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review

Agroecosystem and rural tourism: Bibliometric analysis and its conceptual relationship from 2014 to 2020

Assessing Uncertainty in Multicriteria Evaluation of Centralized and Decentralized Dual Water Supply Strategies

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