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Modeling Complex Ecological Networks to Analyze the Impact of Soil Sampling Methodologies on Data Integrity

Kuil, T.H. van der (2024) Modeling Complex Ecological Networks to Analyze the Impact of Soil Sampling Methodologies on Data Integrity.

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Abstract:The growing interest in improving soil quality and conducting detailed analyses necessitates robust soil sampling methodologies. However, an increased interest in the role of microbes in soil ecosystems, and DNA analysis of soil becoming cheaper, has introduced questions about how to best sample soil. This thesis presents BLOSSOM (BioLOgical Simulation in SOil Model), a spatiotemporal Agent-Based Model (ABM) designed to simulate organism interactions in 3D. BLOSSOM is used to explore the effects of different soil sampling parameters on data quality and analysis. These simulations indicate that larger sample radii and intra-plot pooling can greatly impact data analysis, whereas sampling locations play a minor role.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:https://purl.utwente.nl/essays/104377
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