Journal article
Natural History Collections as Inspiration for Technology.
BioEssays, Vol.41(2), pp.1-16
2019
Abstract
Living organisms are the ultimate survivalists, having evolved phenotypes with unprecedented adaptability, ingenuity, resourcefulness, and versatility compared to human technology. To harness these properties, functional descriptions and design principles from all sources of biodiversity information must be collated - including the hundreds of thousands of possible survival features manifest in natural history museum collections, which represent 12% of total global biodiversity. This requires a consortium of expert biologists from a range of disciplines to convert the observations, data, and hypotheses into the language of engineering. We hope to unite multidisciplinary biologists and natural history museum scientists to maximize the coverage of observations, descriptions, and hypotheses relating to adaptation and function across biodiversity, to make it technologically useful. This is to be achieved by developments in meta-taxonomic classification, phylogenetics, systematics, biological materials research, structure and morphological characterizations, and ecological data gathering from the collections - the aim being to identify and catalogue features essential for good biomimetic design.
Details
- Title
- Natural History Collections as Inspiration for Technology.
- Authors
- David W Green (Corresponding Author) - Yonsei University Dental HospitalJolanta A Watson (Author) - University of the Sunshine Coast - School of Science & EngineeringHan-Sung Jung (Author) - Yonsei University Dental HospitalGregory S Watson (Corresponding Author) - University of the Sunshine Coast - School of Science & Engineering
- Publication details
- BioEssays, Vol.41(2), pp.1-16
- Publisher
- John Wiley & Sons Ltd.
- Date published
- 2019
- DOI
- 10.1002/bies.201700238
- ISSN
- 0265-9247
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99450861102621
- Output Type
- Journal article
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- International collaboration
- Web Of Science research areas
- Biochemistry & Molecular Biology
- Biology
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