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林业科学 ›› 2026, Vol. 62 ›› Issue (2): 25-39.doi: 10.11707/j.1001-7488.LYKX20250626

• 前沿热点 • 上一篇    

林草元宇宙技术体系与应用

胡兴涛1,2,张怀清1,*(),杨廷栋1,张京1,蒋娴1   

  1. 1. 中国林业科学研究院资源信息研究所 国家林业和草原科学数据中心 北京 100091
    2. 中南林业科技大学 林业遥感大数据与生态安全湖南省重点实验室 长沙 410004
  • 收稿日期:2025-10-16 修回日期:2025-10-27 出版日期:2026-02-25 发布日期:2026-03-04
  • 通讯作者: 张怀清 E-mail:zhang@ifrit.ac.cn
  • 基金资助:
    国家重点研发计划项目(2022YFE0128100)

Technological System and Applications of Forestry and Grassland Metaverse

Xingtao Hu1,2,Huaiqing Zhang1,*(),Tingdong Yang1,Jing Zhang1,Xian Jiang1   

  1. 1. Institute of Forest Resource information Techniques Chinese Academy of Forestry National Forestry and Grassland Science Data Center Beijing 100091
    2. Hunan Provincial Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Central South University of Forestry and Technology Changsha 410004
  • Received:2025-10-16 Revised:2025-10-27 Online:2026-02-25 Published:2026-03-04
  • Contact: Huaiqing Zhang E-mail:zhang@ifrit.ac.cn

摘要:

目的: 针对当前林草信息化建设面临的全域感知能力不足、全周期过程模拟缺乏和多主体协同治理困难等问题,探索构建林草元宇宙的具体实施路径,以推动林草科研范式与管理模式的转型升级,突破行业发展瓶颈,全面促进智慧林业的创新与发展。方法: 在界定林草元宇宙内涵的基础上,提出其总体设计思路,构建涵盖硬件支撑体系、技术体系与应用体系的总体框架;梳理以人工智能、数字孪生、区块链等为核心的林草元宇宙技术体系;结合智慧林业发展需求,探讨其在资源监测、林木育种、森林培育、经营管理、生态保护修复、装备研发、产业发展及政务管理等业务场景中的应用,并从技术角度分析了林草元宇宙当前面临的挑战与未来发展路径。结果: 构建以硬件设施为基础、多技术融合为核心、业务场景为导向的林草元宇宙系统框架。该框架实现了对现实林草世界的动态映射、模拟推演、沉浸交互、多主体协同与智能决策,开启了林草领域全业务场景应用模式,推动智慧林业从“感知?计算?管理”到“沉浸?交互?共创”的新范式。研究还从技术角度探讨了当前林草元宇宙构建过程中面临的现实挑战,为后续发展与应用提供了优化方向。结论: 林草元宇宙是新一代信息技术与林草业深度融合的高级形态,具有推动行业从传统静态数据分析向沉浸?交互?共创方向转型的潜力。通过构建虚实映射、高度沉浸、人机协同的林草业运行新形态,该系统有望系统破解当前智慧林业建设中的关键瓶颈,进一步提升全产业链的工作效率与治理能力。未来应注重关键核心技术攻关与社会协同机制创新,以加速林草元宇宙的落地应用与成效推广。

关键词: 元宇宙, 虚拟现实, 人工智能, 智慧林业, 区块链

Abstract:

Objective: The metaverse represents the integrated and highly convergent application of next-generation information technologies such as virtual reality, artificial intelligence, and blockchain. It provides strong momentum for the development of new quality productivity and offers novel solutions for high-quality development in the forestry and grassland sector. However, current forestry and grassland informatization still faces multiple constraints, including insufficient full-coverage perception, limited whole-process simulation capability, and difficulties in multi-stakeholder collaborative governance. This study aims to explore concrete implementation pathways for building a forestry and grassland metaverse, so as to promote the transformation and upgrading of research paradigms and management models, overcome key industry bottlenecks, and comprehensively advance the innovation and development of smart forestry. Method: On the basis of defining the concept and connotation of the forestry and grassland metaverse, an overall design approach was proposed, and a comprehensive framework integrating hardware infrastructure, technical systems, and application systems was constructed. A technology system centered on artificial intelligence, digital twins, and blockchain was systematically reviewed. In conjunction with the development needs of smart forestry, potential applications in resource monitoring, forest genetics, silviculture, forest management, ecological conservation and restoration, equipment development, industrial development, and governmental administration were discussed. Meanwhile, current technical challenges and future development pathways were analyzed from a technological perspective. Result: A forestry and grassland metaverse system framework was established, characterized by hardware infrastructure as the foundation, multi-technology integration as the core, and business scenarios as the orientation. This framework enables dynamic mapping of the real forestry and grassland world, simulation and deduction, immersive interaction, multi-agent collaboration, and intelligent decision-making. It opens up a full-scenario application mode for the forestry and grassland sector and promotes the paradigm shift of smart forestry from “perception–computation–management” to a new model of “immersion–interaction–co-creation.” In addition, this study analyzes the practical challenges currently faced in constructing the forestry and grassland metaverse, and provides directions for subsequent optimization and development. Conclusion: The forestry and grassland metaverse represents an advanced form of deep integration between next-generation information technologies and the forestry and grassland industry. It has the potential to drive the sector’s transformation from traditional static data analysis to an immersive, interactive, and co-creative paradigm. By establishing a new operational model featuring virtual–real mapping, high immersion, and human–machine collaboration, the forestry and grassland metaverse is expected to systematically address key bottlenecks in smart forestry development and further enhance efficiency and governance capacity across the entire industrial chain. Future efforts should focus on breakthroughs in core technologies and innovations in social collaboration mechanisms to accelerate practical implementation and large-scale application.

Key words: metaverse, virtual reality, artificial intelligence, smart forestry, blockchain

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