
pmid: 30775795
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.
570, Technology, FoR 11 (Medical and Health Sciences), Museums, 590, Biodiversity, Adaptation, Physiological, FoR 17 (Psychology and Cognitive Sciences), bioinspiration, natural history, Biomimetics, genome mining, technology, Animals, biomimetics, FoR 06 (Biological Sciences), biomaterials, Natural History
570, Technology, FoR 11 (Medical and Health Sciences), Museums, 590, Biodiversity, Adaptation, Physiological, FoR 17 (Psychology and Cognitive Sciences), bioinspiration, natural history, Biomimetics, genome mining, technology, Animals, biomimetics, FoR 06 (Biological Sciences), biomaterials, Natural History
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
