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自然历史藏品激发科技灵感。

Natural History Collections as Inspiration for Technology.

机构信息

Dr. D. W. Green, Prof. H.-S. Jung, Division in Anatomy and Developmental Biology, Department of Oral Biology, Oral Science Research Center, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Korea.

Dr. J. A. Watson, Dr. G. S. Watson, School of Science and Engineering, University of the Sunshine Coast, Fraser Coast, Hervey Bay, QL, 4655, Australia.

出版信息

Bioessays. 2019 Feb;41(2):e1700238. doi: 10.1002/bies.201700238.

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.

摘要

生物有机体是最终的生存主义者,与人类技术相比,它们进化出了前所未有的适应性、创造力、智慧和多功能性的表型。为了利用这些特性,必须从所有生物多样性信息来源中整理出功能描述和设计原则——包括在自然历史博物馆收藏中表现出的数以十万计的可能生存特征,这些特征代表了全球生物多样性的 12%。这需要一个由来自不同学科的专家生物学家组成的联盟,将观察、数据和假设转化为工程语言。我们希望联合多学科生物学家和自然历史博物馆科学家,最大限度地涵盖生物多样性中与适应和功能相关的观察、描述和假设,使其具有技术实用性。这将通过元分类学分类、系统发生学、系统学、生物材料研究、结构和形态特征以及从收藏中收集生态数据的发展来实现——目的是确定和编目对仿生设计至关重要的特征。

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