0000000000703847

AUTHOR

Laurie Dunn

showing 6 related works from this author

Studying and modelling soil microbial communities dynamics at a landscape scale in response to agricultural practices

2019

Soil microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This will use a multi-d…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modelling[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyagricultural practices[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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A spatially explicit model to simulate soil microbial communities’ dynamics at an agricultural landscape scale

2021

Soil microorganisms play a major role in soil functions and are an efficient indicator to evaluate the impact of agricultural practices on soil quality. Biogeographical studies over wide scales ranging from landscape to countries have concluded that soil microbial abundance and soil prokaryotic richness is following a heterogeneous distribution in space under the dependence of soil properties (e.g. pH, soil texture, organic matter content) and agricultural practices. The goal of this study is the creation of a model that can predict dynamics of soil microbial communities depending on the agricultural management over time. For this, we focus on a monitored landscape (Fénay landscape, 1.200 h…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Agent-based modelAgricultural landscapeParticipatory[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSoil microbial communities
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Studying and modelling the dynamics of soil microbial communities at a landscape scale in response to agricultural practices

2019

National audience; Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modellingagricultural practice[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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Study and modelling of the impacts of agricultural practices on the abundance of soil microbial communities: dynamics at the landscape scale

2022

Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation in the agricultural sector. The goal of this thesis was to characterize spatial and temporal dynamics of soil microbialcommunities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. For this, a multi-disciplinary approach was used combining microbial ecology, environment assessment, spatial computer modeling, associated to a participatory app…

[SDV] Life Sciences [q-bio]écologie microbienne des solsagent based modellingmodélisation multi-agentsdecision support instrument (DSI)soil microbial ecologyoutil d’aide à la décision (OAD)
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Temporal dynamics of soil bacterial communities at a landscape scale: dependence to soil properties and agricultural practices.

2019

International audience; Soil microbial communities play a major role in agricultural functions and are an efficient indicator to evaluate the impacts of agricultural practices on soils. Studies on wide scales ranging from landscape to countries demonstrated that soil microbial communities were heterogeneously distributed in space under the dependence of soil properties (e.g. pH, soil texture, Organic matter Content) and agricultural practices. However, temporal dynamics of soil microbial communities at a landscape scale still need to be documented in order to go further in evaluating the sustainability of agricultural practices. In this extensive monitoring study, we focused on landscape dy…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmonitoring[SDV]Life Sciences [q-bio][SDE]Environmental Sciencessoil microbial communities[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologynext-generation sequençingagricultturelandscape
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Étude et modélisation des impacts des pratiques agricoles sur la dynamique de la distribution des communautés microbiennes des sols à l’échelle du pa…

2021

National audience; Les micro-organismes telluriques, de par leur abondance et leur richesse, jouent un rôle centraldans le fonctionnement des écosystèmes et sont des bioindicateurs intéressants pour évaluerl’impact des pratiques agricoles sur la qualité des sols. L’enjeu est de favoriser leur utilisationpour accompagner l’innovation dans le monde agricole. Cette thèse a pour objectif de permettreune meilleure compréhension des dynamiques spatiales et temporelles des communautésmicrobiennes du sol à l’échelle du paysage. Pour cela, nous proposons de modéliser cesdynamiques et de partager les connaissances aux acteurs du monde agricole via un OAD (outild’aide à la décision). Le paysage de Fén…

pratiques agricolesécologie microbienne des sols[SHS] Humanities and Social Sciencesmodélisation multi-agentsoutil d’aide à la décision (OAD)modélisation participative[SHS]Humanities and Social Sciences
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