随着科技的飞速进步，林草学科领域的研究日益倚重于大数据和尖端信息技术。这一趋势也带来了大量敏感且至关重要的科学数据，从而凸显了数据安全管理的重要性。本文首先概述了林草科学数据管理体系的五大核心组成部分：安全制度保障体系、安全组织保障体系、安全技术保障体系、安全运维保障体系和安全基础设施保障体系。这些体系共同构成了林草科学数据管理的坚实基础。其次进一步探究了基于分类分级的林草科学数据管理方案，并重点强调了数据安全防护体系的重要性。对不同类别的数据设定不同的管理级别，不仅可以促进数据的有序流通，还能确保数据在共享过程中的安全性和可靠性。这种精细化的管理方式，旨在保护数据安全的同时，实现数据的最大价值。最后详细列举了林草科学数据安全的防护措施，为林草科学数据的稳定增长与共享提供了坚实保障。

With the rapid progress of science and technology, the research in the field of forestry and grassland increasingly relies on big data and advanced information technology. However, this trend also brings with it a large amount of sensitive and vital scientific data, thus highlighting the importance of data security management. Firstly, this paper summarizes five core components of forestry and grassland scientific data management system: security system, security organization, security technology, security operation and maintenance, and security infrastructure, which together constitute a solid foundation for forestry and grassland scientific data management. Secondly, it further explores the forestry and grassland scientific data management scheme based on classification, and emphasizes the importance of data security protection system. By setting different management levels for different categories of data, you can not only promote the orderly flow of data, but also ensure security and reliability during data sharing. This refined management method aims to protect the security of data while realizing the maximum value of data. Finally, the protection measures of forestry and grassland scientific data security are listed in detail, which provides a solid guarantee for the steady growth and sharing of forestry and grassland scientific data.