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保护工具:下一代工程生物学合作。

Conservation tools: the next generation of engineering-biology collaborations.

机构信息

Haptic Ingelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.

Schools of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.

出版信息

J R Soc Interface. 2023 Aug;20(205):20230232. doi: 10.1098/rsif.2023.0232. Epub 2023 Aug 16.

Abstract

The recent increase in public and academic interest in preserving biodiversity has led to the growth of the field of conservation technology. This field involves designing and constructing tools that use technology to aid in the conservation of wildlife. In this review, we present five case studies and infer a framework for designing conservation tools (CT) based on human-wildlife interaction. Successful CT range in complexity from cat collars to machine learning and game theory methodologies and do not require technological expertise to contribute to conservation tool creation. Our goal is to introduce researchers to the field of conservation technology and provide references for guiding the next generation of conservation technologists. Conservation technology not only has the potential to benefit biodiversity but also has broader impacts on fields such as sustainability and environmental protection. By using innovative technologies to address conservation challenges, we can find more effective and efficient solutions to protect and preserve our planet's resources.

摘要

最近公众和学术界对保护生物多样性的兴趣日益浓厚,这导致了保护技术领域的发展。该领域涉及设计和构建利用技术来帮助保护野生动物的工具。在这篇综述中,我们提出了五个案例研究,并推断出一个基于人与野生动物相互作用的保护工具(CT)设计框架。成功的 CT 从猫项圈到机器学习和博弈论方法的复杂性各不相同,并且不需要技术专业知识就可以为保护工具的创建做出贡献。我们的目标是向研究人员介绍保护技术领域,并为指导下一代保护技术专家提供参考。保护技术不仅有可能有益于生物多样性,而且对可持续性和环境保护等领域也有更广泛的影响。通过使用创新技术来应对保护挑战,我们可以找到更有效和高效的解决方案来保护和维护我们星球的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afb9/10427197/0aba7951d8ad/rsif20230232f01.jpg

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