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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorAppelman, Jaco
dc.contributor.authorOsagie, Nehis
dc.date.accessioned2024-10-16T23:04:47Z
dc.date.available2024-10-16T23:04:47Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/47975
dc.description.abstractBiomimicry, bridging biology and design, offers promising regenerative solutions, yet its systemic application remains underexplored. This study combines a literature review, case study analysis, and expert interviews to investigate effective ecosystem biomimicry implementation. It advocates for integrating ecosystem-level biomimicry into developmental projects from the outset. Key challenges identified include the complexity of urban systems, the need to contextualise ecosystem services, and the fragmented ecological knowledge among practitioners. The research highlights the necessity of comprehensive ecological understanding and practical tools, such as user-friendly guides and visualisation software, to broaden biomimicry's accessibility. Additionally, the creation of a detailed project database is essential for knowledge sharing and standardising practices. The study developed and validated an initial biomimicry process and online guide, incorporating user feedback to refine the tool. Future research should focus on advanced ecological processes, predictive modelling, and long-term monitoring to customise biomimetic solutions for specific local contexts. These efforts aim to foster resilient, regenerative solutions that promote long-term ecological health and functional ecosystems.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectA research project that further defines ecosystem biomimicry and discusses a novel developed guide for practical use by non-experts.
dc.titleEcosystem Biomimicry guide
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsBiomimicry; systems thinking; ecosystem biomimicry; practical guide; guide development
dc.subject.courseuuBio Inspired Innovation
dc.thesis.id40299


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