Biodiversity is a multidimensional concept that can be understood and measured in many different ways. However, the next generation of digital technologies for biodiversity monitoring currently being funded and developed fail to engage its multidimensional and relational aspects. Based on empirical data from interviews, a conference visit, online meetings, webinars, and project reports, this study articulates four digital logics that structure how biodiversity becomes monitored and understood within recent technological developments. The four digital logics illustrate how intensified practices of capturing, connecting, simulating, and computing produce particular techno-scientific formats for creating biodiversity knowledge. While ongoing projects advance technological development in areas of automation, prediction, and the creation of large-scale species databases, their developmental processes structurally limit the future of biodiversity technology. To better address the complex challenges of the global biodiversity crisis, it is crucial to develop digital technologies and practices that can engage with a wider range of perspectives and understandings of relational and multidimensional approaches to biodiversity.

中文翻译：

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数字孪生和生物多样性的数字逻辑

生物多样性是一个多维概念，可以通过多种不同方式来理解和衡量。然而，目前正在资助和开发的下一代生物多样性监测数字技术未能涉及其多维和相关方面。基于访谈、会议访问、在线会议、网络研讨会和项目报告的经验数据，本研究阐明了四种数字逻辑，这些逻辑构建了如何在最新技术发展中监测和理解生物多样性。这四种数字逻辑说明了捕获、连接、模拟和计算的强化实践如何产生用于创建生物多样性知识的特定技术科学格式。虽然正在进行的项目推动了自动化、预测和大型物种数据库创建领域的技术发展，但其发展过程从结构上限制了生物多样性技术的未来。为了更好地应对全球生物多样性危机的复杂挑战，开发数字技术和实践至关重要，这些技术和实践可以涉及更广泛的观点和对生物多样性相关和多维方法的理解。