生物多样性“多产泛融多方惠益”数字化体系构建及应用建议

Digitalization and Application Suggestions for ‘Multi-Level Engagement and Benefit’ of Biodiversity

  • 摘要: 随着现代信息技术的不断发展和创新运用,生物多样性研究也进入了数字化时代。先进数字技术为生物多样性研究提供了更加可靠高效的技术手段,有效促进了生物多样性领域研究的深入发展。本文对全球生物多样性数字化技术体系建设的重要性和生物多样性信息数字感知、数据集成、大数据模型化等技术融合的前沿需求进行了总结和剖析,并提出相应的发展建议。研究发现,我国生物多样性数字化体系构建存在的主要问题包括生物多样性资源调查手段滞后、生物多样性保护和维持难度大,生物多样性数字化顶层设计不完整、生物数据同质化,生物数据融合度不高、预警监测能力不系统,生物资源对产业发展的支撑动力不足,以及生物多样性惠益分享机制尚不健全等方面。鉴于此,本文提出生物多样性领域数字化发展的整体思路,即构建“多营养级交叉,大数据整合”决策支撑体系、抢占生物资源大数据的战略制高点和推动生物技术跨界融合的生物产业经济新业态;进一步建议通过加快生物与数字技术的多维融合,扩大生物资源数字化的规模、打造“链上资源,码上分享”机制,建立协同互融的生物资源共享体系、利用数字化生物资源提高研发效率,同时通过推进新型生物产业链的孵化与培育、打造“监测与评估、保护与惠益”的数字化体系、打造生物多样性数字化的泛域产业融合、建立生物多样性数字化利用标准规范体系,并进一步推动生物多样性数字化体系的完善和高效化应用实践,为实现生物多样性“多产泛融多方惠益”提供决策参考。

     

    Abstract: Biodiversity research has entered the digital era as a result of the continuous advancement and innovative application of modern information technologies. Advanced digital technology has increased the reliability and efficiency of technological tools used in biodiversity studies, allowing for more in-depth development of research on the issue. This study reviews and evaluates the importance of building a global biodiversity digitization technology system, as well as the frontier need for biodiversity information digital perception, data integration, big data modeling, and so on, and makes development recommendations. According to the study, the main issues in the construction of China′s biodiversity digitization systems are as followings: The Lag of Biodiversity Resources Survey indicates the following: the difficulty of maintaining and conserving biodiversity; the incompleteness of the top-level design of biodiversity digitization; homogeneity of biological data; low degree of biological data fusion; lack of systematic early warning and monitoring capabilities; insufficient biological resource support for industrial development; and imperfect benefit-sharing mechanism of biodiversity. Based on this, the study proposes that the goal of digital development in the field of biodiversity is to create a decision support system for ‘Multi-nutrition grade crossover and big data integration’, capture the strategic biological resource big data commanding point, and encourage the cross-border integration of biotechnology. Furthermore, it is recommended to accelerate the multi-dimensional integration of biological and digital technologies, increase biological resource digitization, and develop a ‘Resources on the chain, code-sharing’ mechanism, which would establish a coordinated and integrated system for the sharing of biological resources and increase the effectiveness of research and development. At the same time, it will promote the incubation and cultivation of new biological industry chains, build a digital system of ‘monitoring and evaluation, protection, and benefits’, create a pan-regional integration of the digital biodiversity industry, set up a system of standards and norms for the digital use of biodiversity, and further promote the improvement of the biodiversity digital system and efficient application practice to achieve biodiversity multi-benefit to provide a decision-making reference.

     

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